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1.
Materials (Basel) ; 15(20)2022 Oct 14.
Artículo en Inglés | MEDLINE | ID: mdl-36295216

RESUMEN

In order to verify the feasibility of using FRP grid and mortar reinforcement technology to enhance the blast resistance of concrete arch structures, this paper designed and fabricated FRP grid and mortar reinforced concrete arch structures and conducted blast resistance tests in the field. A detailed design of anti-explosion scheme was carried out before the experiment. The tests were conducted to observe the structural cracking, concrete collapse, and reinforcement peeling of FRP grid and mortar reinforced concrete arch under the explosion. In order to compare the anti-explosion performance with the protective arch structures in other literature, the explosion of 2 kg TNT with a blast distance of 600 mm was selected. After the explosion, it was found that the blast resistance of the FRP grid and mortar reinforced concrete arch was significantly higher than that of the unreinforced arch, and the concrete arch reinforced with FRP grid and mortar has a better damage patterns and improved blast resistance performance than that of the FRP and steel plate reinforced arch. According to the research results, the FRP grid and mortar composite reinforcement technology can be used to enhance the blast resistance of arch structures in protection projects.

2.
Artículo en Inglés | MEDLINE | ID: mdl-33531924

RESUMEN

BACKGROUND: Qiweibaizhu decoction (QBD), a classic Chinese herbal formula, has been widely used for treating diarrhea in infants and children with spleen deficiency syndrome for centuries, but its mechanism of action remains unclear. The gut microbiota, short-chain fatty acids (SCFAs), and intestinal mucus are closely associated with diarrhea. METHODS: In this study, the composition of the gut microbiota in diarrheal rats was analyzed by 16S rDNA amplicon sequencing. The concentrations of colon SCFAs were determined using gas chromatography-mass spectrometry (GC-MS). The expression of mucin 2 (MUC2) in the colon was detected by immunofluorescence. RESULTS: Diarrhea significantly changed the diversity and structure of the gut microbiota and disrupted the mucus barrier in juvenile rats. QBD did not significantly change the diversity and structure of the intestinal flora, but it enhanced the increasing tendencies of Verrucomicrobia and Akkermansia and decreased the abundance of Turicibacter (P=0.037) and Flavonifractor (P=0.043). QBD tends to repair the mucus layer and promote MUC2 expression in juvenile rats with diarrhea. Moreover, S. boulardii significantly increased the abundance of Parasutterella (P=0.043). In addition, QBD treatment tends to increase the propionic acid concentration during diarrhea, but its levels of acetic acid, propionic acid, butyric acid, and total SCFAs were lower than those in the S. boulardii group. CONCLUSION: S. boulardii significantly increased the abundance of Parasutterella, leading to increased production of acetic acid, propionic acid, and butyric acid, consequently leading to alleviation of diarrhea. In comparison, QBD affected diarrhea via regulation of the intestinal flora, especially by increasing the abundance of Verrucomicrobia and Akkermansia, resulting in mucus barrier repair, protection of the intestines, and treatment of diarrhea.

3.
Medicine (Baltimore) ; 98(5): e13941, 2019 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-30702555

RESUMEN

Gut flora plays an essential role in disease and health. A traditional Chinese herb formula, Dahuang Danpi Decoction (DDD) can alleviate several gastrointestinal diseases.In the present study, we assessed the effect of DDD on the growth and metabolism of Lactobacillus bulgaricus. L bulgaricus was cultured in MRS with 40 mg/ml (high), 10 mg/ml (medium), and 2.5 mg/ml (low) of DDD, Ceftriaxone and blank (control). The growth of L bulgaricus was measured by optical density. The levels of L-lactic acid and D-lactic acid were also measured.Compared to the control group, the concentrations of L bulgaricus in the medium and the high concentrations DDD groups were significantly higher (P < .001 for all), while the concentrations of L bulgaricus in the ceftriaxone groups were significantly lower. In the 3 DDD groups, the L- lactic acid levels were significantly higher than those in the control group and the ceftriaxone groups (P < .001 for all), and the L-lactic acid level was the highest in the high DDD group. Similarly, the D-lactic acid level in the high concentration DDD group was significantly higher than those in the medium and low concentration DDD groups, the control group and the ceftriaxone groups. Both the L-lactic acid and D-lactic acid levels were lower than those in the control group and the DDD groups.DDD could dose-dependently promote the growth of L bulgaricus and enhance the secretion of L-lactic acid and D-lactic acid, which suggests DDD may be able to interact with the probiotics, improve the gut microbiota, and serve in the prevention and treatment of dysbiosis.


Asunto(s)
Medicamentos Herbarios Chinos/farmacología , Microbioma Gastrointestinal/efectos de los fármacos , Lactobacillus/efectos de los fármacos , Antibacterianos/farmacología , Ceftriaxona/farmacología , Relación Dosis-Respuesta a Droga , Humanos , Ácido Láctico/biosíntesis , Lactobacillus/crecimiento & desarrollo
4.
Mar Pollut Bull ; 135: 386-396, 2018 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-30301050

RESUMEN

The performance of oil spill models is strongly influenced by multiple parameters. In this study, we explored the ability of a genetic algorithm (GA) to determine optimal parameters without the need for time-consuming manual attempts. An evaluation function integrating the percentage of coincidence between the predicted polluted area and the observed spill area was proposed for measuring the performance of a Lagrangian oil particle model. To maximise the objective function, the oil spill was run numerous times with continuously optimised parameters. After many generations, the GA effectively reduced discrepancies between model results and observations of a real oil spill. Subsequent validation indicated that the oil spill model predicted oil slick patterns with reasonable accuracy when equipped with optimal parameters. Furthermore, multiple objective optimisation for observations at different times contributed to better model performance.


Asunto(s)
Algoritmos , Contaminación por Petróleo , Contaminación Química del Agua , Accidentes , China , Modelos Teóricos , Navíos
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