Empirical and modified hemostatic resuscitation for liver blast injury combined with seawater immersion: A preliminary study.

PURPOSE: To compare the effects of empirical and modified hemostatic resuscitation for liver blast injury combined with seawater immersion. METHODS: Thirty rabbits were subjected to liver blast injury combined with seawater immersion, and were then divided into 3 groups randomly (n = 10 each): group A (no treatment after immersion), group B (empirical resuscitation with 20 mL hydroxyethyl starch, 50 mg tranexamic acid, 25 IU prothrombin complex concentrate and 50 mg/kg body weight fibrinogen concentrate), and group C (modified resuscitation with additional 10 IU prothrombin complex concentrate and 20 mg/kg body weight fibrinogen concentrate based on group B). Blood samples were gathered at specified moments for assessment of thromboelastography, routine coagulation test, and biochemistry. Mean arterial pressure, heart rate, and survival rate were also documented at each time point. The Kolmogorov-Smirnov test was used to examine the normality of data distribution. Multigroup comparisons were conducted with one-way ANOVA. RESULTS: Liver blast injury combined with seawater immersion resulted in severe coagulo-fibrinolytic derangement as indicated by prolonged prothrombin time (s) (11.53 ± 0.98 vs. 7.61 ± 0.28, p＜0.001), activated partial thromboplastin time (APTT) (s) (33.48 ± 6.66 vs. 18.23 ± 0.89, p＜0.001), reaction time (R) (min) (5.85 ± 0.96 vs. 2.47 ± 0.53, p＜0.001), decreased maximum amplitude (MA) (mm) (53.20 ± 5.99 vs. 74.92 ± 5.76, p＜0.001) and fibrinogen concentration (g/L) (1.188 ± 0.29 vs. 1.890 ± 0.32, p = 0.003), and increased D-dimer concentration (mg/L) (0.379 ± 0.32 vs. 0.051 ± 0.03, p = 0.005). Both empirical and modified hemostatic resuscitation could improve the coagulo-fibrinolytic states and organ function, as indicated by shortened APTT and R values, decreased D-dimer concentration, increased fibrinogen concentration and MA values, lower concentration of blood urea nitrogen and creatine kinase-MB in group B and group C rabbits in comparison to that observed in group A. Further analysis found that the R values (min) (4.67 ± 0.84 vs. 3.66 ± 0.98, p = 0.038), APTT (s) (23.16 ± 2.75 vs. 18.94 ± 1.05, p = 0.001), MA (mm) (60.10 ± 4.74 vs. 70.21 ± 3.01, p < 0.001), and fibrinogen concentration (g/L) (1.675 ± 0.21 vs. 1.937 ± 0.16, p = 0.013) were remarkably improved in group C than in group B at 2 h and 4 h after injury. In addition, the concentration of blood urea nitrogen (mmol/L) (24.11 ± 1.96 vs. 21.00 ± 3.78, p = 0.047) and creatine kinase-MB (U/L) (85.50 ± 13.60 vs. 69.74 ± 8.56, p = 0.013) were lower in group C than in group B at 6 h after injury. The survival rates in group B and group C were significantly higher than those in group A at 4 h and 6 h after injury (p < 0.001), however, there were no statistical differences in survival rates between group B and group C at each time point. CONCLUSIONS: Modified hemostatic resuscitation could improve the coagulation parameters and organ function better than empirical hemostatic resuscitation.

A method of forecasting trade export volume based on back-propagation neural network.

Financial forecasting has been greatly improved in recent years, but at long horizons, forecast accuracy may be low. Foreign trade plays an important role in introducing advanced technology and equipment, expanding employment opportunities, increasing government revenue and promoting economic growth. The main purpose of this paper is to predict the export volume of foreign trade through a back-propagation neural network (BPNN). To shed light on the characteristics of foreign trade and the export volume calculation method, this paper uses BPNN for forecasting. This method has a unique and advanced advantage in solving nonlinear problems and is very suitable for solving forecasting and decision-making problems related to nonlinear financial systems. By establishing multifactor and single-factor export forecasting models, the export volume of a single Chinese city in recent years is forecasted and compared with the actual export volume. The forecasting accuracy of our model is more than 30% higher than that of the traditional forecasting method, and the application is also approximately 15% more accurate than the traditional method, indicating that the method used in this paper is more in line with the growth trend of the actual export data. As a key part of the economic system, foreign trade is an important force driving economic growth. Therefore, developing foreign trade is a suitable path to pursue growth.

An ultrasensitive solid-state ECL biosensor based on synergistic effect between Zn-NGQDs and porphyrin-based MOF as "on-off-on" platform.

To develop an ultra-sensitive solid-state electrochemiluminescence (ECL) biosensor for detection of miRNA 24, three different forms of porphyrin metal-organic framework (MOF) nanomaterials with good biocompatibility were synthesized through small molecule ligand modulation. We investigated various properties of synthesized MOFs in the presence of different small molecule ligands. The as-obtained 2D MOF nanodisk exhibited high ECL intensity and outstanding stability in the presence of a co-reactant at low concentrations. We also synthesized zinc-based quantum dots (Zn-NGQDs) with excellent photovoltaic properties by doping zinc dithiothreitol (DTT-Zn) into quantum dots. Accordingly, an enzyme-free solid-state ECL biosensor for miRNA 24 based on the "on-off-on" signal conversion strategy was created. Dependent on the synergy between the luminophor 2D MOF and Zn-NGQDs, the biosensor achieves a wide linear range from 1.00 × 10-16 to 1.00 × 10-10 mol·L-1 and an exceedingly low detection limit of 0.03 fM. Furthermore, the ECL biosensor exhibits outstanding selectivity, repeatability, and stability. The method has great potential for investigating sensitive detection models for various biomolecules and the design of highly efficient MOF luminescent materials.

Recurrence of ameloblastoma in bone grafts of a fibula free flap: A case report and literature review.

Ameloblastoma is a benign odontogenic tumor with high recurrence rate. It can cause severe abnormalities of the face and jaw, leading to severe disfiguration and impaired jaw and airway functions. Wide local excision and reconstruction are required for ameloblastoma. Recurrence in the free bone graft is rare, especially in the fibula free flap. A 67-year-old man had a history of ameloblastoma of the left mandible resected 16 years ago with reconstruction using the fibula free flap. Three years ago, radiologic examination suggested a possible tumor recurrence in the fibula free flap. Because of the left facial swelling with hard, painless, and elastic tumor extending in the mandibular, he was admitted to the hospital and underwent segmental mandibulectomy. Ameloblastoma in the fibula was confirmed by pathological examination meanwhile not invasion in soft tissue nor bone margin. At the 24-month follow-up, no recurrence was detected. As the strong tendency for recurrence, especially in cases of large tumor size and soft tissue involvement, the radical resection and long-term follow-up are recommended.

A novel sensor for visual and selective detection of Hg2+ based on functionalized doped quantum dots.

In this paper, a novel analytical platform for the visual, sensitive and reliable analysis of mercury ions (Hg2+) is fabricated based on functionalized doped quantum dots. We synthesized a new specific nano-material, zinc dithiothreitol combined with graphene quantum dots (ZnNCs-NGQDs), by a simple and convenient method which, as an efficient luminophore, was then applied to construct an electrochemiluminescence (ECL) system for the first time. Under optimized conditions, the ECL sensor showed an excellent response for Hg2+ in the linear range of 1.0 mM to 10 pM, with a low detection limit of 3 pM. Moreover, the proposed method demonstrated satisfactory selectivity, stability and acceptable reproducibility for the detection of Hg2+. The recovery of tap water and lake water samples ranged from 96% to 105%, indicating the potential applicability of the proposed method for monitoring environmental water samples. Meanwhile, visual attempts for mercury ion detection by using doped quantum dots have also obtained satisfactory results. Importantly, our research revealed a viable method for improving the sensitivity and convenience of target studies in sensing fields derived from functional material design.