Objective To establish an analytical method combining gas chromatography-tandem mass spectrometry(GC-MS)and liquid chromatography-tandem mass spectrometry(LC-MS)to detect diazepam residue in bait nest materials and fish samples,and improve the pretreatment steps of samples to make the experimental results accurate and the sample processing convenient and fast.Methods Taking diazepam as the research object,samples were extracted with methanol and dichloromethane/n-hexane as solvents according to the type,and the supernatant was taken for detection after centrifugation.Results The diazepam standard sample showed a good linear relationship in the range of 10～10 000 ng/mL.The retention times in methanol and mixed solvent were 13.54 min and 13.83 min,respectively,and the correlation coefficients were 0.998 and 0.999,respectively;The limit of detection(LOD)of using methanol as extraction solvent was 2 ppb,and limit of quantification(LOQ)was 6 ppb.The LOD of using mixed solvents was 5 ppb,and the LOQ was 15 ppb.When the sample is a bait nest material,the GC-MS spectrum was clear and standard,and the peak shape was sharp and prominent;When the sample is biological specimen,the GC-MS spectra are disturbed by matrix,while the LC-MS data is more accurate and faster.Conclusion It is more appropriate to use GC-MS to determine the content of bait nest materialsamples,and it is more accurate to LC-MS to determine the content of fish samples due to the complexity of the organism.

Objective:To explore the differences between the deep learning-based image reconstruction (DLIR) and the adaptive statistical iterative reconstruction V (ASiR-V) algorithms in the radiation dose and image quality of head and neck CT angiography (CTA).Methods:The data of 80 patients undergoing head and neck CTA due to vascular diseases in the head and neck were prospectively collected. These patients were randomly divided into groups A and B based on their examination sequence. The CTA images of group A were reconstructed based on ASiR-V 50%, with a tube voltage of 120 kV and a noise index of 11.0. In contrast, those of group B were reconstructed based on ASiR-V 50% (for group B1) and DLIR-H (for group B2), with a tube voltage of 80 kV and a noise index of 9.0. Then, the radiation doses and image quality of both groups were compared using the independent-sample t-test. The radiation doses, and both subjective and objective image quality of the two imaging method were compared through the Kruskal-Wallis test and the Wilcoxon rank-sum test. The independent- or paired-sample t-test was employed to measure inter-group vascular enhanced CT values, as well as signals and noise from regions of interest (ROIs), with signal-to-noise ratios (SNRs) and contrast-to-noise ratios (CNRs) calculated. Results:The effective doses of groups A and B were (0.77±0.08) and (0.45±0.05) mSv, respectively, with a statistically significant difference ( t = 21.96, P < 0.001). The vascular enhanced CT values, SDs, SNRs, and CNRs in the arch of the aorta, the initial and bifurcation parts of the common carotid artery, and the M1 segment of the middle cerebral artery showed statistically significant differences among groups A, B1, and B2 ( F = 67.69, 68.50, 50.52, 74.10, 63.10, 91.22, 69.16, P < 0.001). Additionally, statistically significant differences were observed in the subjective scores of image quality among groups A, B1, and B2 ( Z = 71.06, P < 0.05). Conclusions:The DLIR algorithm can further reduce the radiation dose in head and neck CTA examination while significantly reducing image noise and ensuring image quality, thus demonstrating high clinical application value.

OBJECTIVE To explore the effects of levosimendan on cardiac function， hemodynamics and prognosis of patients with septic shock complicated with myocardial depression， and evaluate the safety of levosimendan. METHODS Patients with septic shock complicated with myocardial depression who were admitted to the Department of Critical Care Medicine of Chongqing University Three Gorges Hospital from April 2021 to August 2023， underwent adequate fluid resuscitation， had a mean arterial pressure （MAP） ≥65 mmHg， and received pulse indicator continuous cardiac output （PiCCO） monitoring were enrolled. The patients were randomly divided into dobutamine group and levosimendan group according to a random number table， with 20 patients in each group. Both groups received intravenous infusion of Norepinephrine bitartrate injection at a dose of 0.1-2.0 μg/（kg·min）. On this basis， the dobutamine group additionally received intravenous infusion of Dobutamine hydrochloride injection at a dose of 5- 10 μg/（kg·min） for 3 to 7 days， while the levosimendan group additionally received intravenous infusion of Levosimendan injection at a dose of 0.1-0.2 μg/（kg·min） for 24 hours. Heart rate （HR） and hemodynamic parameters [systolic blood pressure， diastolic blood pressure， MAP， central venous pressure （CVP）]， PiCCO monitoring parameters [cardiac function index （CFI）， cardiac index （CI）， stroke volume index （SVI）， extravascular lung water index， global end-diastolic volume index， pulmonary vascular permeability index （PVPI）， global ejection fraction （GEF）， systemic vascular resistance index， left ventricular contractility index]， and prognosis indicators [death within 3 days after administration， mechanical ventilation time，intensive care unit （ICU） stay time， 28-day mortality rate] were compared between the two groups before treatment and at 24 and 72 hours after treatment. Adverse reactions were E-mail：recorded for both groups. RESULTS Compared with before treatment in the same group， CFI， CI and GEF at 24 hours after treatment， CI and GEF at 72 hours after treatment in the dobutamine group， as well as SVI at 24 hours after treatment and SVI and GEF at 72 hours after treatment in the levosimendan group were significantly increased； PVPI at 72 hours after treatment in the dobutamine group was significantly decreased （P＜0.05）. Compared with the dobutamine group during the same period， patients in the levosimendan group had significantly lower HR and significantly higher CVP at 24 hours after treatment （P＜0.05）. Within 3 days after administration， there were no deaths in either group； there were no statistically significant differences in mechanical ventilation time， ICU stay time， 28-day mortality rate， or the incidence of adverse reactions between the two groups （P＞0.05）. CONCLUSIONS For patients with septic shock complicated with myocardial depression who have undergone adequate fluid resuscitation and have a MAP of ≥65 mmHg， levosimendan is comparable to dobutamine in improving cardiac function and hemodynamic parameters， without affecting patients’ prognosis or increasing the risk of adverse reactions such as hypotension.

Objective:To explore the effects of embodied emotion priming on attentional bias of individuals with depression tendency.Methods:From June to December 2018, a total of 91 college students with depression tendency were recruited to participate in the experiment.A 3(embodied emotion priming: positive priming, negative priming and no priming) × 2 (emotional face: happy and sad) mixed design was adopted to measure the attentional bias of individuals with depression tendency using the dot probe paradigm. SPSS 22.0 statistical software was used for repeated measurement analysis of variance.Results:In terms of attentional bias, the interaction effect between embodied emotion priming types and emotional faces was significant ( F(2, 88)=5.97, P=0.004, ηp2=0.119). Further simple effect analysis showed that, under the happy-face condition, participants' attentional bias reaction time(△RT) was significantly higher when primed with embodied positive emotion than those primed with embodied negative emotion((14.30±18.23)ms, (-6.53±38.17)ms, P<0.05). The participants' attentional bias △RT was significantly lower when primed with embodied negative emotion than participants with no priming ((-6.53±38.17)ms, (9.16±30.62)ms, P<0.05). Under the sad-face condition, the participants' attentional bias △RT was significantly higher when primed with embodied negative emotion((28.22±35.33)ms) than participants primed with embodied positive emotion((11.71±29.24)ms, P<0.05) and no priming ((7.63±30.60)ms, P<0.05). Conclusion:Embodied emotion priming can affect the attentional bias of individuals with depression tendency.

The condition of patients with severe traumatic brain injury (sTBI) complicated by corona virus 2019 disease (COVID-19) is complex. sTBI can significantly increase the probability of COVID-19 developing into severe or critical stage, while COVID-19 can also increase the surgical risk of sTBI and the severity of postoperative lung lesions. There are many contradictions in the treatment process, which brings difficulties to the clinical treatment of such patients. Up to now, there are few clinical studies and therapeutic norms relevant to sTBI complicated by COVID-19. In order to standardize the clinical treatment of such patients, Critical Care Medicine Branch of China International Exchange and Promotive Association for Medical and Healthcare and Editorial Board of Chinese Journal of Trauma organized relevant experts to formulate the Chinese expert consensus on clinical treatment of adult patients with severe traumatic brain injury complicated by corona virus infection 2019 ( version 2023) based on the joint prevention and control mechanism scheme of the State Council and domestic and foreign literatures on sTBI and COVID-19 in the past 3 years of the international epidemic. Fifteen recommendations focused on emergency treatment, emergency surgery and comprehensive management were put forward to provide a guidance for the diagnosis and treatment of sTBI complicated by COVID-19.

Novel coronavirus Omicron variant infection can cause severe illness and even death in certain populations. Omicron variant infection may lead to systemic inflammatory response, coagulation disorder, multi-organ dysfunction and other pathophysiological changes, which are different from other Novel coronavirus variants to a certain extent, so therapeutic strategies should not be the same. The National Medical Center for Major Public Health Events invited experts in fields of infectious diseases, respiratory medicine, intensive care, pediatrics and fever clinic to develop this quick guideline based on the current best evidence and extensive clinical practices. This quick guideline aims to standardize the diagnosis and treatment of novel coronavirus Omicron infection, and to improve the disease management abilities of clinicians.

Objective:To investigate the clinical features,therapeutic methods,therapeutic efficacy,and prognostic characteristics of older patients with acute myeloid leukemia(AML).Methods:We collected data from 134 older patients with AML treated at Peking University International Hospital between January 2015 and February 2023.White blood cell count,bone marrow primitive cell count,cytogen-etic and molecular characteristics,and European LeukemiaNet(ELN)risk stratification at initial diagnosis were retrospectively ana-lyzed.Patients were assigned into two groups according to treatment plan―high-intensity chemotherapy and low-dose treatment―to determine whether intensive chemotherapy would yield survival benefits during treatment and the factors affecting survival.Results:Among 36 patients treated with high-intensity chemotherapy,22(61.1%)achieved complete response(CR);among 90 treated with low-intensity therapy,46(51.1%)achieved CR;and among 19 treated with azacitidine(AZA)+ venecra(VEN),14(73.7%)achieved CR.Medi-an overall survival(OS)was 15 months for high-intensity chemotherapy and 14.5 months for low-intensity treatment(P=0.226).According to ELN risk stratification,patients in the low,medium,and high risk groups exhibited OS of 18,14,and 9 months,respectively(P=0.009).OS for high-intensity chemotherapy and low-dose therapy was 22 and 15 months in the low-risk group(P=0.745),9 and 15 months in the medium-risk group(P=0.783),and 9 and 8 months in the high-risk group(P=0.739),respectively.Patients in the intensive chemotherapy group(n=36)had an OS of 15 and 17 months(P=0.689)compared with AZA+VEN treatment(n=19).The prognosis of six patients with TP53 mutation was significantly worse than those without the mutation,and the median OS was 2 months and 14 months,respectively(P=0.004).One-and 3-year survival rates for the low-,medium-and high-risk groups were 79%,53%,and 44%,and 41%,20%,and 3%,respectively.Multivariate analysis revealed that high peripheral blood white blood cell count(P=0.034),ELN risk stratification(P=0.002),and complications(P=0.017)were correlated with OS,while treatment intensity,age,sex,and bone marrow primitive cell count were not significantly correlated with OS.Conclusions:High-intensity chemotherapy did not yield a significant survival benefit in older patients with AML;however,this result needs to be confirmed in patients at low risk.Patients with TP53 mutations had a poor prognosis.Multivariate analyses revealed that baseline mo-lecular characteristics,leukocyte count,and comorbidities were more important than treatment intensity in predicting survival among older patients with AML.

Accurate identification of cell types from single-cell RNA sequencing (scRNA-seq) data plays a critical role in a variety of scRNA-seq analysis studies.This task corresponds to solving an unsupervised clustering problem,in which the similarity measurement between cells affects the result significantly.Although many approaches for cell type identification have been proposed,the accuracy still needs to be improved.In this study,we proposed a novel single-cell clustering framework based on similarity learning,called SSRE.SSRE models the relationships between cells based on subspace assumption,and generates a sparse representation of the cell-to-cell similarity.The sparse representation retains the most similar neighbors for each cell.Besides,three classical pairwise similarities are incorporated with a gene selection and enhancement strategy to further improve the effectiveness of SSRE.Tested on ten real scRNA-seq datasets and five simulated data-sets,SSRE achieved the superior performance in most cases compared to several state-of-the-art single-cell clustering methods.In addition,SSRE can be extended to visualization of scRNA-seq data and identification of differentially expressed genes.The matlab and python implementations of SSRE are available at https://github.com/CSUBioGroup/SSRE.

Orthodontic resident training has a long history abroad. Its purpose is to teach general practitioners in dentistry about basic knowledge and operating standards and to lay a solid foundation for the normalization and standardization of techniques. Osaka Dental University, established in 1911, is one of the oldest dental higher education facilities in Japan and Asia. Its systematic orthodontic resident training program has specific characteristics, including a thorough foundation in basic training, sufficient practice time in clinical work, and an emphasis on both clinical thinking ability and technical detail mastery. Recently, orthodontic resident training programs in China have achieved significant progress in a short period. In this manuscript, we introduce the orthodontic training program of Osaka Dental University in terms of enrollment, training arrangements, orthodontic basic education and clinical training in order to offer a reference for the continuous improvement of the standardized training system for resident doctors of stomatology in China.

OBJECTIVE：To predict the active components and potential target of volatile oil of Citri reticulatae preventing and treating Alzheimer ’s disease （AD）. METHODS ：The volatile oil of C. reticulatae was determined by GC-MS ，and identified according to NIST 11.L database and manual data analysis. The active components and targets of volatile oil of C. reticulatae were predicted through TCMSP and PharmMapper database. The related targets of AD were obtained by using GeneCards and OMIM databases. Venny 2.1.0 software mapping was used to obtain the direct targets of volatile oil of C. reticulatae against AD. Core nodes were mined with STRING database and Cytoscape 7.2.1 software，and the indirect targets of volatile oil of C. reticulatae against AD were obtained by mapping and duplication coith Venny 2.1.0 software. With the help of DAVID 6.7 database，the above direct and indirect targets （i.e. action targets ）were used for gene ontology （GO）function enrichment analysis and KEGG pathway enrichment analysis. Using Cytoscape 7.2.1 software， topology analysis was conducted for the network of “active components-acting targets ”of volatile oil of C. reticulatae ，with node degree value ，betweenness centrality and closeness centrality as indexes ，then key components and key targets were mined. RESULTS & CONCLUSIONS ：A total of 40 chemical components in volatile oil were identified by GC-MS ，all of them were active components ，including D-limonene，γ-terpinene，etc. A total of 151 active components-corresponding targets and 1 291 AD-related targets were mined ，including 48 direct targets and 41 indirect targets. The above 89 targets were mainly concentrated in cell fraction ，axon，cytosol and other cell components ；intracellular signaling cascade ，response to organic substance and other biological processes ；protein kinase activity and amine receptor activity and other molecular functions ；as well as cancer pathway ，calcium signaling pathway and neurotrophin signaling pathway （P＜ 0.05）. A total of 10 key components including α-terpinene，β-elemen，thymol and （－）-4-terpineol，as well as 21 key targets such as androgen receptor ，prostaglandin G/H synthase 2，mitogen activated protein kinase 14，muscarinic acetylcholine receptor M 1 were excavated ，indicating the effect of volatile oil of C. reticulatae against AD had the characteristics of multi-component ， multi-target and multi-channel.