Background The surgical treatment of complex acetabular fractures is one of the most challenging procedures for orthopedic surgeons. The Pararectus approach, as a reasonable alternative to the existing surgical proced...
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Background The surgical treatment of complex acetabular fractures is one of the most challenging procedures for orthopedic surgeons. The Pararectus approach, as a reasonable alternative to the existing surgical procedures, was performed for the treatment of acetabular fractures involving the anterior column. This study aimed to evaluate outcome using the Pararectus approach for acetabular fractures involving anterior columns. Methods Thirty-seven with displaced acetabular fractures involving anterior columns were treated between July 2016 and October 2019 using the Pararectus approach. The functional outcomes (using the Merle d Aubigne and Postel scoring system, WOMAC and modified Harris scoring), the quality of surgical reduction (using the Matta criteria), and postoperative complications were assessed during approximately 26 months follow-up period. Results Thirty-seven patients (mean age 53 years, range: 30-71;28 male) underwent surgery. Mean intraoperative blood loss was 840 ml (rang: 400-2000 ml) and mean operating time was 210 min (rang: 140-500 min). The modified Merle d Aubigne score was excellent and good in 27 cases (73%), fair in 6 cases (16%), and poor in 3 cases (11%). The mean score was 88.5 (range:77-96) for the modified Harris Hip scores, and 22 (range:7-35) for the WOMAC scores after operation. Postoperative functional outcomes were significantly improved compared with preoperative outcomes (P < 0.0001). The quality of reduction was anatomical in 21 cases (57%), satisfactory in 9 cases (24%), and unsatisfactory in 7 cases (19%). At follow-up, four patients developed a DVT, and heterotopic bone formation was observed in one patient. The hip osteoarthritis was not observed. Conclusion The Pararectus approach achieved good functional outcomes and anatomical reduction in the treatment of acetabular fractures involving anterior column with minimal access morbidity.
Neohesperidin dihydrochalcone (NHDC) is a kind of sweetener widely used in food processing. Some artificial sweeteners induce food allergy by breaking oral tolerance (OT). The relationship between NHDC and oral tolera...
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Neohesperidin dihydrochalcone (NHDC) is a kind of sweetener widely used in food processing. Some artificial sweeteners induce food allergy by breaking oral tolerance (OT). The relationship between NHDC and oral tolerance are important in food safety. We explored the possible effects of NHDC on OT via network pharmacology combined with vivo and vitro experiments. NHDC was predicted to have effects on OT. It was focus on immunoglobulin production, inflammation and immunity. Then, OT mouse model and mast cell degranulation were applied to further explore the mechanism. NHDC could affect the Th2 response by suppressing the sIgG1 level in the serum and GATA-3 expression in the colon. NHDC could inhibit RBL-2H3 cells degranulation by suppressing the Ca2+ influx and MAPK signaling pathways. Results showed that NHDC can be safely applied in food processing and had promotional effects on oral tolerance.
In the process of extracting naturally-occurring oceanic gas hydrates, the dissociation of hydrates can causea reduction in soil strength. This reduction has the potential to trigger slope failure and submarine landsl...
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ISBN:
(纸本)9781959025610
In the process of extracting naturally-occurring oceanic gas hydrates, the dissociation of hydrates can causea reduction in soil strength. This reduction has the potential to trigger slope failure and submarine landslides,which present a catastrophic threat to offshore facilities and hydrate production. This research aims to create a robust and accurate machine-learning model that can efficiently predict stability of submarine continental slopes where gas hydrates are widespread. By collecting and analyzing 144 relevant cases, a comprehensive dataset was constructed, incorporating slope basic data, overlying and underlying layer data, and geological parameters of the hydrate layer. After conducting a correlation coefficient analysis between the characteristic parameters of the dataset and the output, the key characteristic parameters were determined. To model the dataset and assess its performance, four machine learning techniques were employed: Random Forest(RF), XGBoost, K-Nearest Neighbors (KNN), and Support Vector Machine (SVM). Formation physical parameters, geotechnical parameters, and NGH parameters were taken as input parameters, and the stability of NGH slopes was taken as prediction indicator. Evaluation metrics such as the ROC and confusion matrix were employed to comprehensively evaluate these models’ classification ability. Among these algorithms,the RF algorithm achieves the best prediction accuracy and AUC value, demonstrating its potential in submarine continental slopes stability prediction of natural gas hydrates. Additionally, sensitive analysis using Gini impurity calculations revealed that hydrate decomposition degree is the most significant factor affecting slope stability, followed by the burial depth and thickness of the hydrate layer. The slope angle,cohesion, and internal friction angle also have significant impacts. This study provides a new perspective for predicting submarine continental slopes stability with NGH and offers a scientific
A light and temperature dual responsive copolymer,poly(7-(4-vinylbenzy-loxyl)-4-methylcoumarin-co-N vinyl caprolactam-co-tri(ethylene glycol)methyl ether methacrylate)(PVNM),was grafted on the surface of dopamine base...
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A light and temperature dual responsive copolymer,poly(7-(4-vinylbenzy-loxyl)-4-methylcoumarin-co-N vinyl caprolactam-co-tri(ethylene glycol)methyl ether methacrylate)(PVNM),was grafted on the surface of dopamine based mesoporous silica nanoparticles(MSNs).The resulting polymer brush,MSNs-g-PVNM,was characterized by FT-IR,TEM,TGA and *** dual responsive behaviors of MSNs-g-PVNM were systematically *** imidacloprid as the model guest pesticide,the loading percentage and loading efficiency of the polymer brush were determined as 9.2%and 40.6%,*** release efficiency of imidacloprid in MSNs-g-PVNM was the lowest value of 5.4%at 20℃ and 365 nm,and it reached the highest value of 52.4%at 50℃ and 254 *** loss percentage of imidacloprid on the leaves contained imidacloprid-loaded MSNs-g-PVNM(8.4%)was much less than that contained only imidacloprid(25.2%)after three *** was confirmed that the release process of imidacloprid was well regulated through changing external conditions such as light and temperature.
We consider the cubic and quintic nonlinear Schrödinger equations (NLS) under the d and Td energy-supercritical setting. Via a newly developed unified scheme, we prove the unconditional uniqueness for solutions t...
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The reduced diffusion distance of nano-thermite results in an exceptionally high energy release rate and intense exothermic reactions upon ignition, which has drawn significant interest from researchers in the field o...
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The reduced diffusion distance of nano-thermite results in an exceptionally high energy release rate and intense exothermic reactions upon ignition, which has drawn significant interest from researchers in the field of energetic materials. With the deepening of research, metal fluorides are gradually favored by researchers because of their unique reaction characteristics. This paper presents the synthesis of a new fluorine-containing oxidant, BiOF, and its use in the preparation of a novel nano-thermite with n-Al. BiOF crystals exhibit a unique microscopic morphology and are interlaced into "nanoflower" microspheres, which allows for good interfacial contact between the oxidant and fuel during the recombination process. The resulting n-Al/BiOF system displays excellent ignition and combustion performance, with a combustion temperature higher than the boiling point of its main combustion products, AlF3 and Bi. Compared with n-Al/CuO and n-Al/MoO3 systems, n-Al/BiOF exhibits a higher flame propagation rate under confinement. In addition, the ignition threshold of the n-Al/BiOF system is also smaller than that of the n-Al/CuO and n-Al/MoO3 systems. Furthermore, the paper examines the reaction mechanism of the n-Al/BiOF system through thermal reaction path analysis and combustion and thermal analysis product characterization. The paper discovers a "pre-ignition" reaction mechanism before the ignition temperature, where the strongly electronegative fluorine in BiOF corrodes the Al2O3 shell, promoting the release of aluminum energy. The synergistic and effective interaction between oxygen, fluorine, and fuel aluminum in the n-Al/BiOF system results in efficient energy release performance, making BiOF a promising candidate for n-Al based reactive materials in propellants, explosives, and pyrotechnic products.
A two-terminal self-powered optoelectronic structure could mimic synaptic functions of a human brain synapse unit(Figure 1(a)) based on the photovoltaic effects [1], demonstrating the potential for decreasing energy c...
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A two-terminal self-powered optoelectronic structure could mimic synaptic functions of a human brain synapse unit(Figure 1(a)) based on the photovoltaic effects [1], demonstrating the potential for decreasing energy consumption for future computing. However, current self-powered optoelectronic synaptic devices face issues of stability and cost,which mainly arise from noble metal electrodes and independent hole transport layers used in these structures. Substituting low-cost carbon for these metal electrodes and carrier transport layers may promise to solve these challenges.
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