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Large-scale atmospheric information plays an important role in the regional model for the forecasts of weather such as tropical cyclone (TC). However, it is difficult to be fully represented in regional models due to domain size and a lack of observation data, particularly at sea used in regional data assimilation. Blending analysis has been developed and implemented in regional models to reintroduce large-scale information from global model to regional analysis. Research of the impact of this large-scale blending scheme for the Global / Regional Assimilation and PrEdiction System (GRAPES) model on TC forecasting is limited and this study attempts to further progress by examining the adaptivity of the blending scheme using the two-dimensional Discrete Cosine Transform (2D-DCT) filter on the model forecast of Typhoon Haima over Shenzhen, China in 2016 and considering various cut-off wavelengths. Results showed that the error of the 24-hour typhoon track forecast can be reduced to less than 25 km by applying the scale-dependent blending scheme, indicating that the blending analysis is effectively able to minimise the large-scale bias for the initial fields. The improvement of the wind forecast is more evident for u-wind component according to the reduced root mean square errors (RMSEs) by comparing the experiments with and without blending analysis. Furthermore, the higher equitable threat score (ETS) provided implications that the precipitation prediction skills were increased in the 24h forecast by improving the representation of the large-scale feature in the GRAPES analysis. Furthermore, significant differences of the track error forecast were found by applying the blending analysis with different cut-off wavelengths from 400 km to 1200 km and the track error can be reduced less than by 10 km with 400 km cut-off wavelength in the first 6h forecast. It highlighted that the blending scheme with dynamic cut-off wavelengths adapted to the development of different TC systems is necessary in order to optimally introduce and ingest the large-scale information from global model to the regional model for improving the TC forecast. In this paper, the methods and data applied in this study will be firstly introduced, before discussion of the results regarding the performance of the blending analysis and its impacts on the wind and precipitation forecast correspondingly, followed by the discussion of the effects of different blending scheme on TC forecasts and the conclusion section. [ABSTRACT FROM AUTHOR]

Aims: Inconclusive findings of lipid‐lowering medications (LLMs) on cancer survival benefit require more evidence. We tested the hypothesis that adherence to this drug is associated with reduced cancer‐specific mortality in a homogeneous population who had used this drug before cancer diagnosis. Methods: The Australian Cancer Database was linked to the Pharmaceutical Benefits Scheme database, and to the National Death Index (up to 2015). Medication adherence was calculated by proportion of days covered. Cox regression models with time‐varying covariates were used to derive multivariable‐adjusted cause‐specific hazard ratio (HR) and 95% confidence interval (CI) for the associations between adherence to LLMs, statins, lipophilic, and hydrophilic statins and cancer‐specific mortality. Results: From 2003 to 2013, 3 separate cohorts of 20 046, 11 719 and 6430 female patients with newly diagnosed breast, colorectal cancer, and melanoma respectively were identified. The 1‐year adherence was similar at 1‐year prediagnosis in the 3 cohorts, on average 82%. Each 10% increase in 1‐year adherence to LLMs was inversely associated with cancer‐specific mortality among women with breast cancer (fully adjusted HR = 0.92, 95% CI 0.91–0.93), colorectal cancer (fully adjusted HR = 0.92, 95% CI 0.91–0.93), or melanoma (fully adjusted HR = 0.97, 95% CI 0.94–1.00). The reductions in cancer‐specific mortality were more pronounced for women who adhered to lipophilic than hydrophilic statins in all 3 cancers albeit not statistically significant for melanoma. Conclusion: Among LLM users, adherence to this drug is associated with a decrease in cancer‐specific mortality. If confirmed, LLMs could be considered as an adjuvant cancer therapy to improve prognosis in cancer survivors. [ABSTRACT FROM AUTHOR]

Interest in the investigation of the relationship between surface heat island intensity (sUHII) and canopy heat island intensity (aUHII) (sUHII‐aUHII relationship) is growing mainly because of the global availability of satellite‐sensed land surface temperature (Ts). It is hoped that if such a universal relationship can be found, it could compensate for the spatial discontinuity of air temperature (Ta) measurements that currently exist due to a paucity of weather stations in urban areas. In an attempt to investigate differences in the relationship in different urban environments, this study attempts to compare the linear sUHII‐aUHII relationship between Oklahoma City, OK, and Birmingham, UK, based on the observations from Moderate Resolution Imaging Spectroradiometer and two dense urban meteorological networks (UMNs). Regression models and confidence ellipse, with two statistical tests, are applied in the comparison analysis under different climatic conditions with respect to specific ranges of wind speed (WS) and daily‐accumulated solar radiation (DASR). Some general patterns of the linear sUHII‐aUHII relationship are found across the two cities, such as the reduced rate of change of aUHII with respect to sUHII with increasing WS and the non‐negligible advection effect in this relationship. Meanwhile, the differences of the linear sUHII‐aUHII relationship across two cities are reduced under ideal conditions (clear skies, calm and large input of solar radiation from previous day into urban system). More importantly, the results emphasize the influence of the configuration of UMNs on the sUHII‐aUHII relationship. By removing the climatic element in the relationship (i.e., WS and DASR), the impacts of the different local environments, source areas, and general configurations of the UMN become evident, indicating that a standardized protocol for the designs of UMN is the prerequisite for the generalization of the sUHII‐aUHII relationship across cities. [ABSTRACT FROM AUTHOR]

Heavy-ion beams, possessing a wide mutation spectrum and increased mutation frequency, have been used effectively as a breeding method. In this study, the heavy-ion beams generated by the Heavy-Ion Research Facility in Lanzhou were used to mutagenize Aspergillus terreus CA99 for screening high-yield lovastatin strains. Furthermore, the main growth conditions as well as the influences of carbon and nitrogen sources on the growth and the lovastatin production of the mutant and the original strains were investigated comparatively. The spores of A. terreus CA99 were irradiated by 15, 20, 25, and 30 Gy of 80 MeV/u C heavy-ion beams. Based on the lovastatin contents in the fermentation broth, a strain designated as A. terreus Z15-7 has been selected from the clone irradiated by the heavy-ion beam. When compared with the original strain, the content of lovastatin in the fermentation broth of A. terreus Z15-7 increased 4-fold. Moreover, A. terreus Z15-7 efficiently used the carbon and nitrogen sources for the growth and production of lovastatin when compared to the original strain. The maximum yield of lovastatin, 916.7 μg/ml, was obtained as A. terreus Z15-7 was submerged cultured in the chemically defined medium supplemented with 3% glycerol as a carbon source, 1% corn meal as an organic nitrogen source, and 0.2% sodium nitrate as an inorganic nitrogen source at 30 °C in the shake flask. The result shows that heavy-ion beam irradiation is an effective method for the mutation breeding of lovastatin production of A. terreus. [ABSTRACT FROM AUTHOR]

Kojic acid naturally appears in fermented foods and can be formed during the aerobic fermentation process induced by Aspergillus and Penicillium fungi . It is widely used in the food industry because it exhibits antibacterial and antifungal properties and does not affect food taste. However, recent studies indicate that kojic acid may be a potential carcinogen. Therefore, assessing the health risks of kojic acid in fermented foods are of great importance, and developing a sensitive and accurate analytical method for this compound is a significant endeavor. Much efforts have been devoted to the detection of kojic acid using electrochemistry, high performance liquid chromatography (HPLC), gas chromatography-mass spectrometry (GC-MS), and high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). HPLC and HPLC-MS/MS are the analytical techniques most often employed for this purpose. Of these two methods, HPLC-MS/MS displays excellent sensitivity and is the optimal selective technique. Pretreatment is usually necessary for kojic acid determination because of the complex matrix effects of fermented foods. However, few researches on the determination of kojic acid in food are available, and, to the best of our knowledge, the determination of kojic acid using solid-phase extraction (SPE) pretreatment has not been reported yet. Herein, a convenient, sensitive, and accurate method was developed to determine kojic acid in fermented foods using solid-phase extraction-ultra performance liquid chromatography-tandem mass spectrometry (SPE-UPLC-MS/MS). The pretreatment conditions, such as the extraction solvent, cartridge, rinse solvent, and eluent, were systematically optimized. The samples, including soy sauce, vinegar, liquor, sauce, fermented soya bean, and fermented bean curd, were extracted with 0.1% formic acid-absolute ethyl alcohol and purified using a PRiME HLB cartridge. Kojic acid was separated using an ACQUITY UPLC ® BEH C 18 column (100 mm×2.1 mm, 1.7 μm) with formic acid-acetonitrile (1∶999, v/v) and formic acid-5 mmol/L ammonium acetate (1∶999, v/v) solutions as the mobile phases under gradient elution mode. MS was performed in electrospray positive ionization (ESI + ) and multiple reaction monitoring (MRM) modes. An internal standard method was used for quantification. Under optimized conditions, good linearity was achieved at mass concentrations of 5.0-100.0 μg/L, with a correlation coefficient ( r ) of 0.9994. The limits of detection and quantification of the method for kojic acid were 2-5 μg/kg and 6-15 μg/kg, respectively. Good recoveries of 86.8%-111.7%, intra-day precisions of 1.0%-7.9% ( n =6), and inter-day precisions of 2.7%-10.2% ( n =5) were also obtained. The matrix effect was evaluated by establishing a matrix-matching calibration curve, and weak inhibitory effects were found in vinegar and liquor; moderate inhibitory effects in fermented bean curd, fermented soya bean, and soy sauce; and a strong inhibitory effect in sauce. The developed method was used to detect kojic acid in 240 fermented foods, and the results showed that the detection rate of vinegar was the highest, followed by liquor, sauce, soy sauce, fermented soya bean, and fermented bean curd, the contents were 5.69-2272 μg/kg. Matrix interferences can be significantly reduced by optimizing the pretreatment and detection procedures. The proposed method is sensitive, accurate, and can be used to analyze kojic acid in fermented foods.

Halobenzoquinones (HBQs), which are emerging chlorinated disinfection byproducts (DBPs), have attracted increasing attention because they are frequently detected in treated tap water, entrainment water, etc. These compounds are mainly generated during the water treatment process using chlorine, chloramine, and chlorine dioxide as disinfectants, and display more toxic effects than regulated DBPs, such as trihalomethane and haloacetic acid. HBQs have been recognized as potential bladder carcinogens and are harmful to the nervous system. Additionally, they can exert genotoxic effects and cause oxidative damage to DNA and proteins. The risk of HBQs in aquatic products is expected to rise because the disinfection of public facilities has significantly increased in recent years. Therefore, developing a sensitive and accurate analytical method to detect HBQs in aquatic products is of great importance. Several analytical methods, including gas chromatography, gas chromatography-mass spectrometry, electrochemical methods, liquid chromatography, and liquid chromatography-tandem mass spectrometry, can be used to identify and quantify HBQs in water. However, to the best of our knowledge, no reports on the determination of HBQ levels in aquatic products are yet available. Further, pretreatment is essential for HBQ determination because of the complex matrix effects of aquatic products. Herein, a sensitive and accurate method based on the QuEChERS technique coupled with ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was developed for the simultaneous determination of five HBQs in aquatic products. For the QuEChERS procedure, the pretreatment conditions, such as the extraction solvent and adsorbent species, were systematically optimized. The sample was extracted with 10 mL of 10% methanol acetonitrile solution (containing 0.1% formic acid), dehydrated, and centrifuged with sodium chloride and anhydrous magnesium sulfate. The supernatant was purified using a QuEChERS packing material consisting of 50 mg N -propylethylenediamine (PSA), 30 mg of graphitized carbon black (GCB), and 30 mg of neutral alumina (Al 2 O 3 ), dried with nitrogen, and concentrated. The five HBQs were separated on a Waters ACQUITY UPLC BEH C 18 column (100 mm×2.1 mm, 1.7 μm) using 0.25% acetonitrile formate solution and 0.25% formic acid aqueous solution as the mobile phase under a gradient elution program and then detected using UPLC-MS/MS with negative electrospray ionization (ESI - ) under multiple reaction monitoring (MRM) mode. Quantitative analysis was performed using a matrix-matched external standard method. The five HBQs achieved rapid separation within 6 min, indicating that the proposed method has a much shorter separation time compared with previous studies. The matrix effect was evaluated by establishing a matrix-matched calibration curve. The results showed that 2,5-dichloro-1,4-benzoquinone (2,5-DCBQ) presented a matrix-enhancing effect, whereas the other HBQs displayed matrix-inhibiting effects. In particular, tetrachlorobenzoquinone (TCBQ) exhibited strong inhibitory effects. Under the optimized experimental conditions, the five HBQs demonstrated good linear relationships in the range of 1.0-50.0 μg/L, with correlation coefficients ( r )≥0.9992. The detection limits of the method were 0.15-0.8 μg/kg, and the recoveries of the target compounds were 85.9%-116.5%. The relative standard deviations were 1.4%-8.2%, which indicates good reproducibility. The proposed method was successfully applied to actual sample detection, and 2,6-dichloro-3-methyl-1,4-benzoquinone (2,6-DCMBQ) was detected in grass carp. The proposed method is convenient, sensitive, accurate, and suitable for the simultaneous determination of five HBQs in aquatic products. Moreover, the developed method provides a reliable reference for the routine monitoring of trace HBQs in food samples.