OBJECTIVE To establish a method for determination cinoxate and other 30 kinds of sunscreen agents in sunscreen cosmetics by HPLC. METHODS Twenty-one fat-soluble sunscreen agents(1#−21#) were ultrasonically extracted by the mixed solution of methanol-tetrahydrofuran(1∶1), 10 kinds of water-soluble sunscreen agents(22#−31#) were ultrasonically extracted by the mixed solution of methanol-tetrahydrofuran-water(2∶3∶5) from the samples. Agilent Zorbax SB C18(4.6 mm× 250 mm, 5 μm) column was used to separate cinoxate and other fat-soluble sunscreen agents(1#−20#), Agilent Zorbax SB C18(2.1 mm× 100 mm, 3.5 μm) column was used to separate polysiloxane-15(21 #) , Waters Symmetry C18(4.6 mm× 250 mm, 5 μm) column was used to separate 10 water-soluble sunscreen agents. Methanol-isopropanol-water, isopropanol-tetrahydrofuran-water, and methanol-acetonitrile-0.02 mol·L−1 ammonium acetate solution(add phosphoric acid to adjust pH to 5.0) were used as mobile phase in gradient elution respectively. The flow rates were 1.2, 0.5, 1.0 mL·min−1. The detection wavelengths were 358nm(7 #, 11 #) , 295 nm(23#−25#, 27#−31#), 311 nm(other components). The injection volumes were 5 µL(polysiloxane-15) and 10 µL(other component), the column temperature was set at 30℃. RESULTS The linear relationships(r>0.9999) of 31 sunscreen agents were good in corresponding concentration range. The limit of detection were in the range of 0.002%−0.02%. The recoveries of two substrates at three different supplemental levels ranged from 92.4% to 110.3%, with the RSDs of 0.02%−4.5%. Forty batches of domestic and imported sunscreen cosmetics were determined by this method, 17 kinds of approved sunscreen agents were detected, of which polysiloxane-15 were detected in 10 batches of samples. By comparing with the current method in Safety and Technical Standards for Cosmetics(2015 edition) , it was found that the extraction efficiency of fat-soluble sunscreen agents was superior to the current method, the stability of drometrizole trisiloxan was improved, cinoxate, polysiloxane-15 and other 7 kinds of sunscreens were added. CONCLUSION This method is accurate, sensitive and reliable, which can be used for the detection and analysis of sunscreen in sunscreen cosmetics.

In the past decade, high-throughput sequencing technologies have generated a massive amount of genomic mutation data. The interpretation of mutation data from tumor samples has revealed mutational features highly associated with carcinogenic factors, which are referred to as mutational signatures. These mutational signatures enable the assessment of the contribution rates of various carcinogenic factors during the multi-stage development of tumors. Ionizing radiation-induced gene mutations constitute the molecular basis for its carcinogenic effects. Clarifying the patterns of mutational signatures induced by ionizing radiation is of great importance for a profound understanding of stochastic effects. This review presents the research history and analytical method of mutational signatures as well as a comprehensive summary of the current status of research on mutational signatures induced by ionizing radiation. The future development of this field is also discussed.

OBJECTIVE To discuss the relationship between the main concentration of air-borne pollen and the number of visits for allergic diseases in Chengde City. METHODS The daily airborne pollen concentration and species in Chengde City,Hebei Province were monitored by gravity sedimentation method from March 1 to October 15,in 2020-2022. The number of visits of patients with allergic rhinitis,asthma and conjunctivitis in department of otorhinolaryngology,respiratory and ophthalmology were counted by HIS system in the hospital computer center,furthermore,the correlation between pollen concentration and the number of visits of the above diagnosed patients was analyzed. RESULTS The pollen concentration in Chengde showed two peaks each year,which were in May in spring and August in autumn. The main pollen sources in spring were Pinaceae,ash,birch,ulmaceae,Cupressaceae,Moraceae and Rosaceaceae,accounting for 82.6％ of the total annual pollen(78.2％,83.5％,and 86.1％ in 2020-2022,respectively). In autumn,artemisia and humulus were the main sources of pollen,accounting for 9.94％ of the total annual pollen(11.4％,6.3％,12.11％,in 2020-2022,respectively). The number of outpatient visits patients with allergic rhinitis,asthma and conjunctivitis were higher in May and August than in other months,and the number of patients with allergic rhinitis in August was significantly increased compared with other months(P<0.05). The total monthly visits of the three departments and the visits of the three allergic diseases were positively correlated with pollen concentration. CONCLUSION The pollen concentration in the spring and autumn seasons of Chengde City has a direct impact on allergic diseases. Monitoring and broadcasting pollen concentration can provide early warning for doctors and patients,and provide effective information for early intervention,protection,and reasonable treatment of diseases.

Feature extraction methods and classifier selection are two critical steps in heart sound classification. To capture the pathological features of heart sound signals, this paper introduces a feature extraction method that combines mel-frequency cepstral coefficients (MFCC) and power spectral density (PSD). Unlike conventional classifiers, the adaptive neuro-fuzzy inference system (ANFIS) was chosen as the classifier for this study. In terms of experimental design, we compared different PSDs across various time intervals and frequency ranges, selecting the characteristics with the most effective classification outcomes. We compared four statistical properties, including mean PSD, standard deviation PSD, variance PSD, and median PSD. Through experimental comparisons, we found that combining the features of median PSD and MFCC with heart sound systolic period of 100-300 Hz yielded the best results. The accuracy, precision, sensitivity, specificity, and F1 score were determined to be 96.50%, 99.27%, 93.35%, 99.60%, and 96.35%, respectively. These results demonstrate the algorithm's significant potential for aiding in the diagnosis of congenital heart disease.
Humans ; Heart Sounds ; Neural Networks, Computer ; Algorithms ; Heart Defects, Congenital

ObjectiveTo observe the effects of modified Shenqiwan on renal function and fibrosis in diabetic nephropathy mice and explore the underlying mechanism based on the glycogen synthase kinase-3β （GSK-3β）/cyclic adenosine monophosphate （cAMP） response element-binding protein （CREB） signaling pathway. MethodFifty male db/db mice and 10 db/m mice were used in this study. The fifty db/db mice were randomly divided into model group， irbesartan group， and low-， medium-， and high-dose modified Shenqiwan groups. The 10 db/m mice were assigned to the normal group. The mice in the low-， medium-， and high-dose modified Shenqiwan groups were administered with modified Shenqiwan in the dosage form of suspension of Chinese medicinal granules by gavage， those in the irbesartan group were given irbesartan suspension by gavage， and those in the normal and model groups were given distilled water of equal volume by gavage. The intervention lasted for 12 weeks. The blood glucose levels， urine albumin-to-creatinine ratio （UACR）， and the protein expression levels of GSK-3β， CREB， transforming growth factor-β₁ （TGF-β₁）， E-cadherin， Vimentin， fibronectin （FN）， plasminogen activator inhibitor-1 （PAI-1）， and Collagen type Ⅳ （Coll Ⅳ） in the mouse kidneys were recorded before and after treatment. The extent of renal pathological damage was also observed. ResultCompared with the normal group， the model group showed significant increases in blood glucose levels， UACR levels， and the protein expression levels of GSK-3β， TGF-β₁， E-cadherin， Vimentin， FN， PAI-1， and Coll Ⅳ in the kidneys （P<0.05）， decreased protein expression level of CREB （P<0.05）， and severe renal pathological damage. Compared with the model group， the low-， medium-， and high-dose modified Shenqiwan groups and the irbesartan group showed varying degrees of decreases in blood glucose levels， UACR levels， and the protein expression levels of GSK-3β， TGF-β₁， E-cadherin， Vimentin， FN， PAI-1， and Coll Ⅳ in the kidneys （P<0.05）， increased expression level of CREB protein （P<0.05）， and improved renal pathological damage. ConclusionModified Shenqiwan can effectively reduce blood glucose levels， improve renal function， and alleviate fibrosis， and the mechanism of action is related to the inhibition of the GSK-3β/CREB signaling pathway.

It is a common problem for all mentors to cultivate the capacity for scientific research of master degree candidates in plastic surgery under the current training program of "double-track in one" and "four-certificate in one". This study introduces the "COME" training mode that includes clinical study, off-hour, multiple modalities, and efficient feedback. This study elaborates the composition and method of this training mode, and compares the number and quality of published papers and thesis before and after its implementation. Results show that the "COME" training mode can significantly improve the capacity for scientific research of master degree candidates in plastic surgery.

It is a common problem for all mentors to cultivate the capacity for scientific research of master degree candidates in plastic surgery under the current training program of "double-track in one" and "four-certificate in one". This study introduces the "COME" training mode that includes clinical study, off-hour, multiple modalities, and efficient feedback. This study elaborates the composition and method of this training mode, and compares the number and quality of published papers and thesis before and after its implementation. Results show that the "COME" training mode can significantly improve the capacity for scientific research of master degree candidates in plastic surgery.

The study aimed to evaluate the safety and function of poly(lactic-acid-co-ε-caprolactone) (PLCL)/fibrinogen nanofibers (P/F-Ns), and provide theoretical basis for the clinical application. The surface morphology, mechanical properties, the hydrophilicity and the fibrinogen content of P/F-Ns were tested by scanning electron microscope, the material testing machine, the contact angle meter and the microplate reader, respectively. The cell adhesion, proliferation and ligament remodeling genes expression of Hig-82 cells on P/F-Ns were conducted through cell counting kit-8 (CCK-8) and real-time quantitative PCR analyses, respectively. The results showed that with the increase of the fibrinogen content, the pore sizes and hydrophilicity of three P/F-Ns increased, but the mechanical properties decreased. Cell adhesion and proliferation tests showed that P/F-N-2 held the best ability to promote cell adhesion and proliferation. The ligament remodeling genes expressions of Hig-82 cells on P/F-N-1, P/F-N-2 and P/F-N-3 were all up-regulated compared to P/F-N-0 on days 3 and 7. All the three P/F-Ns containing fibrinogen (P/F-N-1, P/F-N-2 and P/F-N-3) had better biocompatibility compared to P/F-N-0, and could be efficiently applied to the reconstruction of anterior cruciate ligament.
Anterior Cruciate Ligament Reconstruction ; Cell Adhesion ; Fibrinogen ; Materials Testing ; Nanofibers

ObjectiveTo understand the current situation and influencing factors of health service demands of new residents in Shanghai. MethodsFrom July to August 2020， a questionnaire survey was conducted in 1 358 new residents from 36 survey points in 7 districts of the city. The questionnaire included the basic medical insurance coverage in the inflow area， the current situation of medical demand and related influencing factors， and the demands for other health services. Results47.1%（562/1 194）of new residents did not choose to seek timely medical treatment when they were not feeling well. The main reason was that the working hours occupied the medical treatment time. Logistic regression analysis showed that the main factors affecting the medical needs in new residents were the average daily working hours， living area and type of residence， health status， physical examination and physical exercise， and the type of basic medical insurance. The demands of new residents for "health consultation of common diseases and frequently occurring diseases"， "health behavior intervention （such as smoking cessation and alcohol restriction）"， "medical guidance and publicity"， "accidental injury prevention （traffic， work， falling， etc.）" and "maintenance of legitimate rights and interests of health" were 57.1%（682/1 194）、41.3%（493/1 194）、34.9%（417/1 194）、32.2%（385/1 194） and 31.9%（381/1 194）， respectively. ConclusionNew residents demands for medical services cannot be met. We should actively improve the working and living conditions of new residents， improve the construction of new residents' health service system， and improve the utilization level of health services.

Heart sound analysis is significant for early diagnosis of congenital heart disease. A novel method of heart sound classification was proposed in this paper, in which the traditional mel frequency cepstral coefficient (MFCC) method was improved by using the Fisher discriminant half raised-sine function (F-HRSF) and an integrated decision network was used as classifier. It does not rely on segmentation of the cardiac cycle. Firstly, the heart sound signals were framed and windowed. Then, the features of heart sounds were extracted by using improved MFCC, in which the F-HRSF was used to weight sub-band components of MFCC according to the Fisher discriminant ratio of each sub-band component and the raised half sine function. Three classification networks, convolutional neural network (CNN), long and short-term memory network (LSTM), and gated recurrent unit (GRU) were combined as integrated decision network. Finally, the two-category classification results were obtained through the majority voting algorithm. An accuracy of 92.15%, sensitivity of 91.43%, specificity of 92.83%, corrected accuracy of 92.01%, and F score of 92.13% were achieved using the novel signal processing techniques. It shows that the algorithm has great potential in early diagnosis of congenital heart disease.
Humans ; Heart Sounds ; Algorithms ; Neural Networks, Computer ; Heart Defects, Congenital/diagnosis* ; Signal Processing, Computer-Assisted