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Objective To explore the oral mucosal manifestations of Sweet’s syndrome and provide a reference for its early detection and correct diagnosis. Methods The oral mucosal manifestations of a 60-year-old female patient with Sweet’s syndrome are described in detail, followed by a discussion of the related literature. Results The patient had skin erythema of both lower extremities, which was accompanied by oral mucosal ulceration and pain for 3 days. The patient presented with mild cutaneous lesions and diffuse large-scale erosion in the oral mucosa with obvious pain. During the onset of the disease, the patient was accompanied by fever with a temperature of 38.5°C. After visiting the Department of Stomatology, laboratory tests showed an increase in C-reactive protein (35.2 mg/L) and an accelerated erythrocyte sedimentation rate (77.00 mm/h). Scattered red plaques and mild tenderness were observed in the knees and lower limbs. Histopathological examination of the skin lesions revealed scattered infiltration of immature neutrophils across the entire dermis. The patient responded well to glucocorticoid therapy. According to the clinical signs and laboratory examination, combined with the lesion histopathological results, a diagnosis of Sweet’s syndrome was given. The patient was administered 1 mL compound Betamethasone injection only once intramuscularly. In the meantime, the patient was asked to gargle with compound chlorhexidine solution and topically apply recombinant bovine basic fibroblast growth factor solution to the damaged mucosa three times a day for 1 week. After 4 days of medication, the patient’s body temperature had returned to normal and the oral lesions were significantly reduced. After 2 weeks, the erythema in the leg and knee had almost all subsided, and the oral mucosal lesions had disappeared. The patient was followed up 6 months after treatment, with no recurrence of skin lesions. After 2 years of follow-up, the disease was stable with no recurrence. A review of the relevant literature shows that Sweet’s syndrome is a rare inflammatory reactive dermatosis with unknown etiology, which can be divided into three clinical types: specific, tumor-related, and drug-induced. The male/female prevalence ratio is 1:4. The salient clinical manifestations are abrupt onset of painful erythematous plaques or nodules most commonly involving the extremities, often accompanied by pyrexia, elevated neutrophil count, elevation of the erythrocyte sedimentation rate, and positive C-reactive protein. The use of glucocorticoids is the most common treatment for this disease, and most patients see a rapid improvement in skin lesions; however, some may experience infection or recurrence after withdrawal. Some patients with Sweet’s syndrome are accompanied by oral lesions, but cases of oral mucosal damage have been rarely reported, and this condition is easily misdiagnosed. Conclusion Oral mucosal lesions may be extraterritorial manifestations of Sweet’s syndrome, and the patient’s systemic condition should be comprehensively considered. Skin biopsy should be completed as soon as possible to make a clear diagnosis, so as not to delay the disease.

With the increasing frequency and intensity of coal and gas outburst disasters under deep mining conditions, studying the outburst mechanism of occurrence has great significance for outbursts prevention and control. The evolution law of coal and gas outbursts under different gas pressure is proposed. The outbursts law is analyzed utilizing the self-developed simulation experiment system of coal and gas outbursts, and the simulation experiment is carried out under the gas pressure of 0.45, 0.8, and 1.5 MPa. In the experiment, the gas pressure drops curves, the relative intensity change, the interval distribution of coal powder, and the evolution of outburst hole and the migration rate of coal powder are analyzed. The results indicate that (1) the gas pressure detected by the No. 4 gas pressure sensor starts to drop first; (2) the gas pressure is positively proportional to the relative outburst intensity. When the gas pressure increases from 0.45 to 0.80 MPa and then to 1.5 MPa, the farthest outburst distance of coal powder increases from 10 to 15 m and then to 21 m, and the corresponding relative outburst intensity increases from 22.94% to 35.74% and then to 45.73%, respectively. (3) The average proportion of coal particles size less than 0.28 mm and larger than 1 mm under each corresponding outburst interval is 40.75% and 22.53%, respectively. Experimental results show that the gas pressure plays an essential role in the secondary crushing and pulverization of coal samples during the outburst process. (4) The throwing velocity of the pulverized coal is increased with the gas pressure near the outburst hole. When the gas pressure is 0.8 MPa, the throwing velocity of pulverized coal reaches the maximum value of 32.40 m/s. (5) The dimensional characteristics and the location initiation of the outburst hole are obtained. The results showed that the outburst process of coal is mainly in two failure forms: pulverization and spallation. The research results provide a theoretical basis and test data support for the prevention and control of coal and gas outburst disasters. [ABSTRACT FROM AUTHOR]

Land motions are significantly widespread in the Yellow River delta (YRD). There is, however, a lack of understanding of the delta-wide comprehensive deformation mode and its dynamic mechanism, especially triggered by groundwater extraction. This paper adopts an integrated analysis of multidisciplinary data of image geodesy, geophysics, geology and hydrogeology to provide insights into Earth surface displacement patterns and dynamics in the YRD. Delta-scale land motions were measured for the first time using L-band ALOS images processed using multi-temporal InSAR, illustrating multiple obvious surface sinking regions and a maximum annual subsidence velocity of up to 130 mm. Then, the InSAR-constrained distributed point source model with optimal kernel parameters, a smoothness factor of 10 and a model grid size of 300 m was established and confirmed to be rational, reliable and accurate for modeling analysis over the YRD. Remarkable horizontal surface displacements, moving towards and converging on a sinking center, were recovered by means of modeling and measured using InSAR, with a maximum rate of up to 60 mm per year, which can trigger significant disasters, such as ground fissures and building damage. In addition, the annual total water storage variation at the delta scale, the most meaningful outcome, can be calculated and reaches a total of approximately 12,010 × 103 m3 in Guangrao city, efficiently filling the gap of GRACE and in situ investigations for delta-wide aquifer monitoring. Finally, a comparative analysis of time series InSAR measurements, modeling outcomes, and fault and groundwater data was conducted, and the strong agreement demonstrates that faults control aquifer distribution and hence the spatial distribution of groundwater-withdrawal-related regional land subsidence. Moreover, the obvious asymmetric displacements, demonstrating a northeasterly displacement trend, further reveal that faults control aquifer distribution and Earth surface deformation. These findings are useful for understanding the land motion patterns and dynamics, helping to sustainably manage groundwater and control disasters in the YRD and elsewhere worldwide. [ABSTRACT FROM AUTHOR]

Although the Zhaotong–Ludian fault is a seismically active zone located in the boundary between the Sichuan–Yunnan block and the South China block, it has not experienced a large earthquake greater than Mw 7 since at least 1700. On 3 August, 2014, an Mw 6.1 earthquake (the Ludian earthquake) ruptured the Zhaotong active belt in Ludian County, Yunnan province, China. This earthquake was the largest earthquake recorded in the region since 2000, and it provides us with a unique opportunity to study the active tectonics in the region. The analysis of the aftershocks showed that two conjugate faults could have been involved in the event. We first used Global Positioning System (GPS) data and C-band RADARSAT-2 imagery to map the coseismic surface deformation. We then inverted the derived coseismic deformation for the slip distribution based on the constructed conjugate fault model. Finally, the coulomb failure stress due to the Ludian earthquake was estimated to investigate the potential seismic hazards in this region. Our investigations showed that the Ludian earthquake was mainly a bilateral rupture event. The major slip of the main shock was located at depths of 0–5 km, which is close but does not superpose with the aftershocks that are mostly located at depths of 5–20 km. Interestingly, the seismic moment released by the aftershocks (6.9 × 1018 N∙m) was greater than that of the main shock (2.6 × 1018 N∙m). This evidence suggests that the accumulated elastic strain at depths of 0–20 km could have been fully released by the Ludian earthquake and its subsequent aftershocks. Furthermore, our analysis of the coulomb failure stress changes due to the main shock showed that the aftershocks could be the result of dynamic triggering rather than static triggering. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to analyze the bacteria in dental caries and establish an optimized dental-ca-ries diagnosis model based on 16S ribosomal RNA (rRNA) data of oral flora., Methods: We searched the public databa-ses of microbiomes including NCBI, MG-RAST, EMBL-EBI, and QIITA and collected data involved in the relevant research on human oral microbiomes worldwide. The samples in the caries dataset (1 703) were compared with healthy ones (20 540) by using the microbial search engine (MSE) to obtain the microbiome novelty score (MNS) and construct a caries diagnosis model based on this index. Nonparametric multivariate ANOVA was used to analyze and compare the impact of different host factors on the oral flora MNS, and the model was optimized by controlling related factors. Finally, the effect of the model was evaluated by receiver operating characteristic (ROC) curve analysis., Results: 1) The oral microbiota distribution obviously differed among people with various oral-health statuses, and the species richness and species diversity index decreased. 2) ROC curve was used to evaluate the caries data set, and the area under ROC curve was AUC=0.67. 3) Among the five hosts' factors including caries status, country, age, decayed missing filled tooth (DMFT) indices, and sampling site displayed the strongest effect on MNS of samples ( P =0.001). 4) The AUC of the model was 0.87, 0.74, 0.74, and 0.75 in high caries, medium caries, low caries samples in Chinese children, and mixed dental plaque samples after controlling host factors, respectively., Conclusions: The model based on the analysis of 16S rRNA data of oral flora had good diagnostic efficiency.