Objective:To compare and evaluate the quality of wild and different cultivation methods of Sanghuang porus vaninii (Ljub.) L.W. Zhou & Y.C. Dai through analysis on UPLC characteristic atlas and multi-component content determination results. Methods:UPLC was used to establish the characteristic chromatogram and multi-component content determination method of Sanghuang porus vaninii (Ljub.) L.W. Zhou & Y.C. Dai, and clustering analysis, orthogonal partial least squares - discriminant analysis method were used for chemical pattern recognition analysis. Results:The results showed that there were 10 common peaks in 18 batches of Sanghuang porus vaninii (Ljub.) L.W. Zhou & Y.C. Dai. Five components were identified, erythrothioneine(peak 1), protocatechuic acid (peak 2), protocatechualdehyde (peak 3), caffeic acid (peak 4) and Hispidin (peak 5). HCA and OPLS-DA could distinguish Sanghuang porus vaninii (Ljub.) with different cultivation methods. Conclusion:Sanghuang porus vaninii (Ljub.) L.W. Zhou & Y.C. Dai in wood is closer to wild Sanghuang porus vaninii (Ljub.) L.W. Zhou & Y.C. Dai than in substitute cultivation. The UPLC characteristic atlas and multi-component content determination method established in this study can provide reference for the quality evaluation of Sanghuang porus vaninii (Ljub.) L.W. Zhou & Y.C. Dai.

Background Improper settings of outdoor smoking points in public places may increase the risk of secondhand smoke exposure among the population. Conducting research on air pollution in and around smoking spots and related influencing factors can provide valuable insights for optimizing the setting of outdoor smoking points. Objective To investigate the influence of the number of smokers at outdoor smoking points and the distance on the diffusion characteristics of surrounding air pollutants, in order to optimize the setting of outdoor smoking points. Methods Surrounding the exhibition halls in the China International Import Expo (CIIE), two outdoor smoking points were randomly selected, one on the first floor (ground level) and the other on the second floor (16 m above ground), respectively. At 0, 3, 6, and 9 m from the smoking points in the same direction, validated portable air pollutant monitors were used to measure the real-time fine particulate matter (PM_2.5) and carbon dioxide (CO₂) concentrations for consecutive 5 d during the exhibition, as well as the environmental meteorological factors at 0 m with weather meters including wind speed, wind direction, and air pressure. An open outdoor atmospheric background sampling point was selected on each of the two floors to carry out parallel sampling. Simultaneously, the number of smokers at each smoking point were double recorded per minute. The relationships between the number of smokers, distance from the smoking points, and ambient PM_2.5 and CO₂ concentrations were evaluated by generalized additive regression models for time-series data after adjustment of confounders such as temperature, relative humidity, and wind speed. Results The median numbers of smokers at smoking points on the first and second floors were 6 [interquartile range (IQR): 3, 9] and 9 (IQR: 6, 13), respectively. Windless (wind speed <0.6 m·s⁻¹) occupied most of the time (85.9%) at both locations. The average concentration of ambient PM_2.5 at the smoking points (0 m) [mean ± standard deviation, (106±114) μg·m⁻³] was 4.2 times higher than that of the atmospheric background [(25±7) μg·m⁻³], the PM_2.5 concentration showed a gradient decline with the increase of distance from the smoking points, and the average PM_2.5 concentration at 9 m points [(35±22) μg·m⁻³] was close to the background level (1.4 times higher). The maximum concentration of CO₂ [(628±23) μmol·mol⁻¹] was observed at 0 m, and its average value was 1.3 times higher than that of the atmospheric background [(481±40) μmol·mol⁻¹], and there was no gradient decrease in CO₂ concentration with increasing distance at 0, 3, 6, and 9 m points. The regression analyses showed that, taking smoking point as the reference, every 3 m increase in distance was associated with a decrease of ambient PM_2.5 by 24.6 [95% confidence interval (95%CI): 23.5, 25.8] μg·m⁻³ (23.2%) and CO₂ by 54.1 (95%CI: 53.1, 55.1) μmol·mol⁻¹ (8.6%). Every one extra smoker at the smoking point was associated with an average increase of PM_2.5 and CO₂ by 2.0 (95%CI: 1.7, 2.8) μg·m⁻³ and 1.0 (95%CI: 0.7，1.2) μmol·mol⁻¹, respectively. The sensitivity analysis indicated that, under windless conditions, the concentrations of PM_2.5 and CO₂ at the smoking points were even higher but the decreasing and dispersion characteristics remained consistent. Conclusion Outdoor smoking points could significantly increase the PM_2.5 concentrations in the surrounding air and the risks of secondhand smoke exposure, despite of the noticeable decreasing trend with increasing distance. Considering the inevitable poor dispersion conditions such as windless and light wind, outdoor smoking points are recommended to be set at least 9 m or farther away from non-smoking areas.

Malocclusion,identified by the World Health Organization(WHO)as one of three major oral diseases,profoundly impacts the dental-maxillofacial functions,facial esthetics,and long-term development of～260 million children in China.Beyond its physical manifestations,malocclusion also significantly influences the psycho-social well-being of these children.Timely intervention in malocclusion can foster an environment conducive to dental-maxillofacial development and substantially decrease the incidence of malocclusion or reduce the severity and complexity of malocclusion in the permanent dentition,by mitigating the negative impact of abnormal environmental influences on the growth.Early orthodontic treatment encompasses accurate identification and treatment of dental and maxillofacial morphological and functional abnormalities during various stages of dental-maxillofacial development,ranging from fetal stages to the early permanent dentition phase.From an economic and societal standpoint,the urgency for effective early orthodontic treatments for malocclusions in childhood cannot be overstated,underlining its profound practical and social importance.This consensus paper discusses the characteristics and the detrimental effects of malocclusion in children,emphasizing critical need for early treatment.It elaborates on corresponding core principles and fundamental approaches in early orthodontics,proposing comprehensive guidance for preventive and interceptive orthodontic treatment,serving as a reference for clinicians engaged in early orthodontic treatment.

Objective To investigate knowledge,attitude and practice towards the fertility preservation of female cancer patients among clinical nurses in a cancer hospital,and to analyze influencing factors,so as to provide references for clinical implementation of related nursing services.Methods A self-designed questionnaire was delivered to 336 nurses working at a tertiary oncology hospital in Tianjin.Univariate analysis and multiple linear regression were used to analyze the factors influencing the knowledge,attitude,and practice level of female fertility preservation among nurses in a cancer hospital.Results In October 2022,a total of 291 nurses completed the questionnaires.The score of the knowledge,attitude and practice were(46.13±8.66),31.00(29.00,33.00),12.00(8.00,14.00),respectively,and the total score was(88.08±12.78).Multiple logistic regression analysis showed that education level,position,department types and whether or not getting the knowledge about fertility preservation of female cancer patients were the influencing factors for the total scores of knowledge,attitude and practice(P＜0.05).Conclusion Nurses who work at the cancer hospital have a positive attitude towards fertility preservation for female cancer patients,while their knowledge and practice level need be improved.Nursing administrators should attach importance to improving the knowledge level and practical ability of nurses in cancer hospitals to protect the fertility of female cancer patients,so as to promote the development of onco-fertility nursing in the future.

Objective To understand the experience of oncology nurses participating in fertility preservation services,and to provide a reference for oncology nurses to formulate targeted training courses and management measure.Methods From September to November 2023,phenomenological research methods were used to select 14 oncology nurses in a tertiary A cancer hospital in Tianjin for semi-structured interviews.Colaizzi 7-step analysis method was used to analyze the interview data and summarize the themes.Results 3 themes and 10 sub-themes were extracted:①The driving forces for participating in fertility preservation services(long-term benefits of fertility preservation,individual conditions of cancer patients,self-conscious cognition of role responsibilities,and internal drivers of empathy);②Oncology nurses are hampered by the lack of professional quality(knowledge system has not been built,ideological deviation needs to be corrected,communication skills need to be strengthened);③ The practical difficulties of oncology nurses participating in fertility preservation services(lack of targeted education and training,lack of multidisciplinary team contact channels,and lack of normative institutional guarantee).Conclusion Oncology nurses play an indispensable role in fertility preservation services.Hospitals need to pay attention to the unique role of oncology nurses and develop targeted training courses to improve their professional quality,so as to promote the implementation of fertility preservation services in China.

OBJECTIVE To provide a reference for establishing an automatic checking mode and improving the checking efficiency of the unit dose dispensing system of oral drugs in hospital. METHODS The automatic checking process reengineering team was established in our hospital. ECRSI method was adopted to sort out the verification process and mode of drug bags for the unit dose formula of our hospital through five principles of eliminating， combining， rearranging， simplifying and increasing， and the hardware series problem and the problem of excessive system false-positive proportion were optimized. The drug bags for the unit dose formula were randomly selected from 10 wards， the efficiency and external error rates of manual check and automatic checking mode before and after optimization were compared， and the false-positive reporting failure in automatic checking mode was also compared before and after optimization. RESULTS After the establishment of the automatic checking mode of the unit dose formula for oral drugs， the average checking time of drug bags was significantly shorter than that of manual checking mode in the other 8 wards except for cardiovascular and renal departments （P＜0.05）. After the optimization of the automatic checking mode， the average checking time of drug bags in all wards was significantly shorter than that in manual checking mode （P＜0.05）. Compared with before optimization of the automatic checking mode， the average checking time of drug bags was shortened by 0.43 s， and the average checking time of drug bags in half of the wards was shortened significantly （P＜0.05）. At the same time， the false-positive proportion decreased from 96.83% before optimization to 92.76% after optimization （P＜0.05）. The external error rate dropped from 0.039‰ in manual checking mode to 0.019‰ before optimization and 0.015‰ after optimization （P＜0.05）. CONCLUSIONS Based on ECRSI method， the automatic checking mode for the unit dose dispensing system of oral drugs can effectively reduce the average checking time of drug bags， reduce external error and improve the work efficiency of pharmacists.

As the National Health Commission changes the management of novel corona virus infection, the situation and preventive policies for controlling the epidemic have also entered a new stage in China. Perioperative care strategies for orthopedic trauma such as designated isolation and nucleic acid test screening have also been adjusted in the new stage. Based on the perioperative work experiences in the new stage of epidemic from the frontline anti-epidemic staff of orthopedics in domestic hospitals and combined with the literature and relevant evidence-based medical data in perioperative care of orthopedic trauma patients under the current anti-epidemic policies at home and abroad, Chinese Orthopedic Association and Chinese Society of Traumatology organized relevant experts to formulate the Guideline for clinical perioperative care of orthopedic trauma patients in the new stage of novel corona virus infection ( version 2023). The guideline summarized 16 recommendations from the aspects of preoperative diagnosis and treatment, infection prevention, emergency operation and postoperative management to systematically standardize the perioperative clinical pathways, diagnosis and treatment processes of orthopedic trauma in the new stage of novel corona virus infection, so as to provide a guidance and reference for hospitals at all levels to carry out relevant work in current epidemic control policies.

Chronic refractory wound (CRW) is one of the most challengeable issues in clinic due to complex pathogenesis, long course of disease and poor prognosis. Experts need to conduct systematic summary for the diagnosis and treatment of CRW due to complex pathogenesis and poor prognosis, and standard guidelines for the diagnosis and treatment of CRW should be created. The Guideline forthe diagnosis and treatment of chronic refractory wounds in orthopedic trauma patients ( version 2023) was created by the expert group organized by the Chinese Association of Orthopedic Surgeons, Chinese Orthopedic Association, Chinese Society of Traumatology, and Trauma Orthopedics and Multiple Traumatology Group of Emergency Resuscitation Committee of Chinese Medical Doctor Association after the clinical problems were chosen based on demand-driven principles and principles of evidence-based medicine. The guideline systematically elaborated CRW from aspects of the epidemiology, diagnosis, treatment, postoperative management, complication prevention and comorbidity management, and rehabilitation and health education, and 9 recommendations were finally proposed to provide a reliable clinical reference for the diagnosis and treatment of CRW.

Objective:To explore the clinical application of a new high dielectric constant (HDC) to improve image quality in 3.0 T fetal head MR scans.Methods:Forty pregnant women who underwent 3.0 T fetal head MR examinations at the Drum Tower Hospital of Nanjing University School of Medicine from May to July 2021 were prospectively included and divided into a test group and a control group according to the placement and non-placement of HDC pads. After the scans were completed, qualitative and quantitative analysis were performed on the image quality of the two groups acquired in each case. Qualitative analysis: A 5-point scale was used to score the images of both groups by two diagnosticians and their scores were recorded. Quantitative analysis: Firstly, the overall radiofrequency specific absorption ratio (SAR) values of the two sets of fetal cranial cross-sectional scans of each pregnant woman were recorded separately, and the average rate of change of the overall SAR values was calculated; secondly, four regions of interest (ROIs) were placed on the standard level of the cross-sectional section of each fetal cranium (including the level of the basal ganglia region of the dorsal thalamus), and the minimum and maximum of the four ROIs of each of the two data sets were calculated separately. The ratio of minimum to maximum signal intensity (RSI), signal to noise ratio (SNR) and contrast to noise ratio (CNR) were calculated for each of the four ROIs in the two sets of data. Wilcoxon test was used to analyze the differences between the two groups of image quality score results; paired sample t-test or paired rank sum test was used to analyze the differences in SAR, RSI, SNR and CNR values between the two groups. Results:The fetal head image quality score was 4 (3, 4) in the test group and 3 (1, 4) in the control group, and the test group was significantly higher than the control group, with statistically significant difference ( Z=-3.62, P<0.01), and the images in the test group had a uniform signal compared with the control group, and none of them had significant artifacts. The results of quantitative analysis showed that the overall SAR value of the test group was significantly reduced, with a mean reduction rate of 32.1%, and the difference between the SAR values of the two groups was statistically significant ( Z=-2.78, P<0.01). The RSI, SNR and CNR in the frontal, temporal, thalamic and occipital lobes of the test group were all higher than those of the control group, and the differences were all statistically significant ( P<0.01). Conclusion:The HDC pads can significantly improve the image quality of 3.0 T fetal head imaging by reducing or eliminating the inhomogeneous artifacts in the RF field, which makes a good technical foundation for fetal head MR imaging.

The effective classification of multi-task motor imagery electroencephalogram (EEG) is helpful to achieve accurate multi-dimensional human-computer interaction, and the high frequency domain specificity between subjects can improve the classification accuracy and robustness. Therefore, this paper proposed a multi-task EEG signal classification method based on adaptive time-frequency common spatial pattern (CSP) combined with convolutional neural network (CNN). The characteristics of subjects' personalized rhythm were extracted by adaptive spectrum awareness, and the spatial characteristics were calculated by using the one-versus-rest CSP, and then the composite time-domain characteristics were characterized to construct the spatial-temporal frequency multi-level fusion features. Finally, the CNN was used to perform high-precision and high-robust four-task classification. The algorithm in this paper was verified by the self-test dataset containing 10 subjects (33 ± 3 years old, inexperienced) and the dataset of the 4th 2018 Brain-Computer Interface Competition (BCI competition Ⅳ-2a). The average accuracy of the proposed algorithm for the four-task classification reached 93.96% and 84.04%, respectively. Compared with other advanced algorithms, the average classification accuracy of the proposed algorithm was significantly improved, and the accuracy range error between subjects was significantly reduced in the public dataset. The results show that the proposed algorithm has good performance in multi-task classification, and can effectively improve the classification accuracy and robustness.
Humans ; Adult ; Imagination ; Neural Networks, Computer ; Imagery, Psychotherapy/methods* ; Electroencephalography/methods* ; Algorithms ; Brain-Computer Interfaces ; Signal Processing, Computer-Assisted