Melorheostosis is a rare disorder of osteopathia. The clinical characteristics of melorheostosis in children is totally different from that in adults. The radiographic features of melorheostosis include the hyperostosis in endosteal on the one side of the cavum medullare and formed streakiness. The soft tissue contracture of the limb and joint deformities are the symptoms of melorheostosis. Here, the authors reported a melorheostosis case of 6 years old girl who suffered from severe valgus deformity of the right knee with permanent patellar dislocation. A surgical stabilization was applied with lateral soft tissue release, medial soft tissue stabilization and transferred the vastus medialis laterally (kinetic stability). After 19 years follow up postoperatively, the limb developed well in satisfied alignment with good function of knee joints, even participated in some sports activities. Other authors reported a similar case of melorheostosis with surgical treatment and achieved good outcomes in limb realignment and reduction. The further suggested that the surgical treatment should be produced before epiphyseal closure.

Based on the clinical skill competition of college students of the advanced medical colleges and universities nationwide,we aimed at the analysis on the weaknesses of medical emergency clinical practical teaching and emphasis on the theoretical education and neglect the practical education,and humanistic care,etc.In the clinical practice teaching of emergency,we combined the clinical skill training with physician occupation quality training,pay attention to the practice of advanced simulation exercises,gradual transition,clinical thinking,training medical students hands-on,team cooperation ability and humane accomplishment,to improve their ability of analyzing and solving problems and eventually optimize medical emergency clinical practical teaching,formulate the clinical practice standards as well as promote the reform and innovation of clinical teaching.

OBJECTIVE:To compare the performance of several pattern recognition methods in the identification of volatile oils of traditional Chinese medicine(TCM)by infrared spectroscopy. METHODS:The volatile oils of several Lonicera and Citrus TCM were determined by infrared spectroscopy. All samples of infrared spectrum were classified by hierarchical clustering,K-mean clustering,artificial neural networks,and support vector machine. RESULTS:The results of hierarchical clustering and K-mean clus-tering were ineffective. Methods of artificial neural networks and support vector machine achieved correct classification rate of 100%. CONCLUSIONS:Artificial neural networks and support vector machine can be combined with infrared spectroscopy to cre-ate chemometric fingerprinting for the identification of volatile oils of TCM.

OBJECTIVE:To establish a method for the limit detection of aconitine in Wuqi shujin tongluo tablet. METHODS:TLC was conducted to identify the aconitine;TLC plate was silica gel G plate,developing solvent was toluene-ethyl acetate-chloro-form-acetone-ammonia(20:18:3:6:1,V/V/V/V/V),chromogenic agent was bismuth potassium iodide test solution and sodium ni-trite ethanol test solution;and durability investigation and detection limit detection were used to optimize the TLC plate,tempera-ture and humidity. RESULTS:TLC showed the aconitine had clear spots and negative control without interference. The durability was good;detection limit was 0.9 μg;available TLC plate was Merck HPTLC prefabricated plate, silica gel G TLC plate setf-made silica gel G TLC plate with adhesive of sodium carboxymethycellulose;temperature was 5-16 ℃ and humidity was 32%-72%. CONCLUSIONS:The method is simple and reproducibility,and can be used for the limit detection of aconitine in Wuqi shujin tongluo tablet.

Objective To evaluate the effect of thermal cycling on surface microstructure of different light-curing composite resins. Methods A nanofilled composite (Z350) and 4 microhybrid composites (P60, Z250, Spectrum, and AP-X) were fabricated from lateral to center to form cubic specimens. The lateral surfaces were abrased and polished before water storage and 40 000 thermal cycles (5/55℃). The mean surface roughness (Ra) were measured and compared before and after thermal cycling, and the changes of microstructure were observed under scanning electron microscope (SEM). Results Significant decreases of Ra were observed in the composites, especially in Spectrum (from 0.164±0.024μm to 0.140±0.017μm, P<0.001) and Z250 (from 0.169 ± 0.035μm to 0.144 ± 0.033μm, P<0.001), whose Ra approximated that of P60 (0.121 ± 0.028μm) with smoothly polished surface. SEM revealed scratches and shallower pits on the surface of all the 5 resins, and fissures occurred on Z350 following the thermal cycling. Conclusions Water storage and thermal cycling may produce polishing effect on composite resins and cause fissures on nanofilled composite resins.

Objective To evaluate the effect of thermal cycling on surface microstructure of different light-curing composite resins. Methods A nanofilled composite (Z350) and 4 microhybrid composites (P60, Z250, Spectrum, and AP-X) were fabricated from lateral to center to form cubic specimens. The lateral surfaces were abrased and polished before water storage and 40 000 thermal cycles (5/55℃). The mean surface roughness (Ra) were measured and compared before and after thermal cycling, and the changes of microstructure were observed under scanning electron microscope (SEM). Results Significant decreases of Ra were observed in the composites, especially in Spectrum (from 0.164±0.024μm to 0.140±0.017μm, P<0.001) and Z250 (from 0.169 ± 0.035μm to 0.144 ± 0.033μm, P<0.001), whose Ra approximated that of P60 (0.121 ± 0.028μm) with smoothly polished surface. SEM revealed scratches and shallower pits on the surface of all the 5 resins, and fissures occurred on Z350 following the thermal cycling. Conclusions Water storage and thermal cycling may produce polishing effect on composite resins and cause fissures on nanofilled composite resins.

OBJECTIVETo compare the surface roughness of nanofilled dental composite resin and microhybrid composite resins after curing and polishing.

METHODSA nanofilled composite (Z350) and 4 microhybrid composites (P60, Z250, Spectrum, and AP-X) were fabricated from the lateral to the medial layers to prepare 8 mm×8 mm×5 mm cubical specimens. The 4 lateral surfaces of each specimens were polished with abrasive disks (Super-Snap). Profilometer was used to test the mean surface roughness (Ra) after polishing.

RESULTSP60 had the lowest Ra (0.125∓0.030 µm) followed by Z250 and Spectrum. The Ra of Z350 (0.205∓0.052 µm) was greater than that of the other 3 resins, and AP-X had the roughest surfaces. Under scanning electron microscope, the polished faces of P60 resin were characterized by minor, evenly distributed particles with fewer scratches; the polished faces of Z350 presented with scratches where defects of the filling material could be seen.

CONCLUSIONThe nanofilled composite Z350 has smooth surface after polishing by abrasive disks, but its smoothness remains inferior to that of other micro-hybrid composite resins.

Objective To compare the surface roughness of nanofilled dental composite resin and microhybrid composite resins after curing and polishing. Methods A nanofilled composite (Z350) and 4 microhybrid composites (P60, Z250, Spectrum, and AP-X) were fabricated from the lateral to the medial layers to prepare 8 mm×8 mm×5 mm cubical specimens. The 4 lateral surfaces of each specimens were polished with abrasive disks (Super-Snap). Profilometer was used to test the mean surface roughness (Ra) after polishing. Results P60 had the lowest Ra (0.125 ± 0.030 μm) followed by Z250 and Spectrum. The Ra of Z350 (0.205±0.052μm) was greater than that of the other 3 resins, and AP-X had the roughest surfaces. Under scanning electron microscope, the polished faces of P60 resin were characterized by minor, evenly distributed particles with fewer scratches;the polished faces of Z350 presented with scratches where defects of the filling material could be seen. Conclusion The nanofilled composite Z350 has smooth surface after polishing by abrasive disks, but its smoothness remains inferior to that of other micro-hybrid composite resins.

Objective To compare the surface roughness of nanofilled dental composite resin and microhybrid composite resins after curing and polishing. Methods A nanofilled composite (Z350) and 4 microhybrid composites (P60, Z250, Spectrum, and AP-X) were fabricated from the lateral to the medial layers to prepare 8 mm×8 mm×5 mm cubical specimens. The 4 lateral surfaces of each specimens were polished with abrasive disks (Super-Snap). Profilometer was used to test the mean surface roughness (Ra) after polishing. Results P60 had the lowest Ra (0.125 ± 0.030 μm) followed by Z250 and Spectrum. The Ra of Z350 (0.205±0.052μm) was greater than that of the other 3 resins, and AP-X had the roughest surfaces. Under scanning electron microscope, the polished faces of P60 resin were characterized by minor, evenly distributed particles with fewer scratches;the polished faces of Z350 presented with scratches where defects of the filling material could be seen. Conclusion The nanofilled composite Z350 has smooth surface after polishing by abrasive disks, but its smoothness remains inferior to that of other micro-hybrid composite resins.

Objective To set up a method for identification of Lonicerae japonicae flos volatile oils using Fourier-transform infrared spectroscopy. Methods The volatile oils of Lonicerae japonicae flos and Lonicerae flos was extracted by steam distillation combined with continuous liquid-liquid extraction with hexane. An oil film was prepared for Fourier-transform infrared spectroscopy scanning by dropping the volatile oils solution on the KBr disc and evaporating the solvent. The obtained infrared spectrum was treated by baseline removing and median filter smoothing. The spectral data within 1800-850 cm-1 was selected as the characteristic spectrum for hierarchical cluster analysis. And the volatile oils of Lonicerae japonicae flos and Lonicerae flos were discriminated by the result of hierarchical cluster analysis. Results Enough volatile oils were extracted for obtaining Fourier-transform infrared spectrum from small amount of Lonicerae japonicae flos. The method developed in the study was able to discriminate Lonicerae japonicae flos volatile oils from Lonicerae flos volatile oils. Conclusion The method can be used for identification of Lonicerae japonicae flos volatile oils.