Based on commonly used acupoints in the clinical acupuncture treatment of functional dyspepsia （FD）， this study systematically analyzes the therapeutic differences and synergistic effects between local and distal point selection. It also examines the suitability of primary acupoint selection for different FD subtypes， postprandial distress syndrome （PDS） and epigastric pain syndrome （EPS）. The findings suggest that a combination of local and distal acupoints may be more appropriate as primary points for PDS， whereas local acupoints alone may be more suitable for EPS. Additionally， the study explores the impact of various factors， such as stimulation techniques， needling order， intensity or stimulation parameters， and depth， on the efficacy of acupuncture. It concludes that the intrinsic properties of acupoints are the primary determinants of therapeutic direction. Other factors mainly influence the magnitude rather than the direction of the effect. Future research may further investigate how different acupoint combinations， local versus distal， affect the treatment outcomes of FD subtypes， providing new insights for clinical acupuncture prescriptions.

TCP family as plant specific transcription factor, plays an important role in different aspects of plant development. In order to screen TCP family members in tobacco, the homologous sequences of tobacco and Arabidopsis TCP family were identified by genome-wide homologous alignment. The physicochemical properties, phylogenetic relationships and cis-acting elements were analyzed by bioinformatics. The homologous genes of AtTCP3/AtTCP4 were screened, and RT-qPCR was used to detect the changes of gene expression upon 20% PEG6000 treatment. The results show that tobacco contains 63 TCP family members. Their amino acid sequence length ranged from 89 aa to 596 aa, and their protein hydropathicity grand average of hydropathicity (GRAVY) ranged from -1.147 to 0.125. The isoelectric point (pI) ranges from 4.42 to 9.94, the number of introns is 0 to 3, and the subcellular location is all located in the nucleus. The results of conserved domain and phylogenetic relationship analysis showed that the tobacco TCP family can be divided into PCF, CIN and CYC/TB1 subfamilies, and each subfamily has a stable sequence. The results of cis-acting elements in gene promoter region showed that TCP family genes contain low docile acting elements (LTR) and a variety of stress and metabolic regulation related elements (MYB, MYC). Analysis of gene expression patterns showed that AtTCP3/AtTCP4 homologous genes (NtTCP6, NtTCP28, NtTCP30, NtTCP33, NtTCP42, NtTCP57, NtTCP63) accounted for 20% PEG6000 treatment significantly up-regulated/down-regulated expression, and NtTCP30 and NtTCP57 genes were selected as candidate genes in response to drought. The results of this study analyzed the TCP family in the tobacco genome and provided candidate genes for the study of drought-resistance gene function and variety breeding in tobacco.
Nicotiana/genetics* ; Phylogeny ; Plant Breeding ; Amino Acid Sequence ; Arabidopsis ; Polyethylene Glycols

Objective To observe the value of artificial intelligence(AI)knowledge graph and image classification for quality control(QC)of chest posterior-anterior position X-ray radiograph(abbreviated as chest film).Methods Totally 9 236 chest films from 595 medical institutions in Anhui province imaging cloud platform were retrospectively enrolled.QC knowledge graph containing 21 classification labels were constructed.Firstly,QC of chest films based on the above knowledge graph were performed by 10 technicians for 2 rounds of single person and 1 round of multi person,and the results were recorded as A,B and C,respectively.Then AI algorithms were used to classify and evaluate based on knowledge graph,and the result was recorded as D.Finally,a QC expert reviewed results C and D to determine the final QC results and taken those as references to analyze the efficiency of the above 4 QC.Results The area under the curve(AUC)of AI algorithm for QC of chest films were all ≥0.780,with an average value of 0.939.The average precision of QC for chest films of A,B,C and D was 81.15％,85.47％,91.65％and 92.21％,respectively.Conclusion AI knowledge graph and image classification technology could be effectively used for QC of chest posterior-anterior position X-ray radiograph.

As the continuation of the left ventricle,the left atrium and left ventricle interact and play an important role in the function of the whole heart.At present,there are many techniques to evaluate the atrial structure and function,but the left atrial structure is complex and the myocardium is thin,which brings some challenges to the relevant evaluation.This paper introduces the parameters,precautions and relevant clinical applications in the process of left atrial evaluation from the aspects of myocardial strain and delayed enhancement.

The apprenticeship education of Traditional Chinese medicine(TCM)is an important pathway for the cultivation of talents in TCM education.The combination of institutional education and apprenticeship education is considered to be the most suitable educational model that aligns with the inherent characteristics of TCM education.The current status of TCM education in western medical institutions and the main challenges include the difficulty in transitioning between western and Chinese medical reasoning and limited clinical internship hours for TCM.The strengths and features of TCM apprenticeship education lie in cultural heritage,classical teachings,mentorship,practice orientation and personalized education.Therefore,integration of TCM apprenticeship education and clinical internships for western medical students represents a new educational model for medical undergraduates.

Purpose/Significance Based on the digital health community reference architecture,the technical framework for smart and healthy city is constructed to support the research and development of smart and healthy city.Method/Processs According to the ar-chitecture,combined with the needs and practices of the digitalization of the health industry,the"1+1+3+N"technical framework re-presenting the digital infrastructure and smart hub of the smart and healthy city is derived,namely,the one network,unified digital health foundation,three service platforms and N intelligent applications,application analysis is conducted.Result/Conclusion The framework can be used to crack the information interoperability problem,significantly release the value of medical and health data,and support in-dustry users and industry partners to hammer out scenario-based solutions for different business areas,and provide references for the top-level planning,construction and development of smart and healthy cities around the country.

Purpose To explore the effect of compressed sensing(CS)technique with different acceleration factors on the quality of cardiac magnetic resonance cine sequences and feasibility of clinical application.Materials and Methods From January to July 2021,40 healthy volunteers were prospectively recruited for cardiac magnetic resonance cine imaging in Hefei First People's Hospital.Four scan protocols of volunteers were designed:SENSE 2 and CS-cine sequences with acceleration factors of 3,4 and 8.The imaging slices include four chamber heart,short axis heart,left ventricular two chamber heart and three chamber heart.Subjective score of image quality,left ventricular cardiac function and 16-segment myocardial thickness of SENSE 2 and CS3,CS4 and CS8 were compared and analyzed.Results Taking SENSE 2 image as the standard score of 5,the scores of CS3 and CS4 were above 3,and the scores of CS8 were below 3.There was no significant difference between the scores of four chamber heart and short axis heart images of CS3 and SENSE 2 sequence(all P>0.05).There were statistically significant differences in the subjective scores of image quality between the left ventricular two chamber heart and three chamber heart groups of each sequence(all P<0.05).There was no statistically significant difference in left ventricular function(left ventricular ejection fraction,left ventricular end systolic volume,left ventricular end diastolic volume,left ventricular stroke volume,left ventricular end-diastolic mass)(F=0.027,0.182,0.057,0.140,0.545)and myocardial thickness(F=0.052-7.366)among the four imaging schemes(all P>0.05).Conclusion Cardiac cine based on compressed sensing technology have good application prospects.With the increase of acceleration factors,the scanning time gradually decreases,and the corresponding image quality will also decrease.When the acceleration factor is 4,that is,the scanning time of the conventional cine sequence is reduced by 50%,the left ventricular function and myocardial thickness can still be accurately measured,and the image quality basically meets the diagnostic requirements.

Purpose Develop deep learning models to assess the clarity of chest X-ray images and validate the model's effectiveness by comparing it with the subjective evaluations of radiologists.Materials and Methods A retrospective collection of 9 135 chest X-ray images from 590 hospitals in Anhui Province,spanning from June 2015 to August 2022,was organized involving multiple radiologists who repeatedly evaluated the clarity of the images using a five-level scoring system.Individual assessments were designated as A and B,whereas the collective result of multiple assessments was designated as C.By constructing a deep learning model based on ResNet-50,image clarity evaluations of chest X-ray images were performed,we used the result C as the training and testing data for the model.The model's evaluation results were denoted as D.A radiology quality control expert conducted an audit assessment of the model's evaluation results and the multi-person assessments of physicians,serving as the reference standard for image clarity.Their assessment results were labeled as E.Statistical analysis,including Spearman's rank correlation coefficient,root mean square error(RMSE)and accuracy was employed to evaluate the effectiveness of the model.Results Compared with the reference standard E,D achieved an average accuracy of 0.85,exceeding the accuracy of C,which stood at 0.84.The ρ values for A,B,C,D and E were 0.58(0.54,0.62),0.59(0.55,0.63),0.74(0.71,0.77)and 0.80(0.78,0.82),respectively.The model exhibited the highest correlation with E.The ρ between A and B was 0.45(0.41,0.49),indicating a lower correlation between two individual subjective assessments of image clarity.The RMSE values for A,B,C,D and E were 0.99,0.94,0.72,and 0.71,respectively.The model's RMSE was lower than that of manual assessments.Conclusion This research model is capable of accurately assessing the clarity of chest X-ray images,and reducing the subjective interference of manual evaluation through deep learning methods,thereby providing an effective and objective evaluation tool for the assessment of clarity in clinical radiographic images.

Purpose To explore the influence of different spin-locking frequencies on T1ρ values based on a 3.0T MR system.Materials and Methods Thirty-eight healthy adult volunteers underwent cardiac magnetic resonance imaging at the First Affiliated Hospital of Anhui Medical University from July to September 2023.T1ρ mapping and short-axis cine imaging with steady-state free precession sequences were performed with 3.0T MR system.T1ρ mapping sequence in three short-axis slices with three spin-lock frequencies at the amplitude of 5 Hz,300 Hz,400 Hz,and 500 Hz was scanned,respectively.T1ρ relaxation times and myocardial fibrosis index were quantified for each slice and each myocardial segment,the difference in T1ρ of different spin-locking frequencies and myocardial fibrosis index was analyzed using one-way repeated-measures analysis of variance method.Results T1ρ of 5 Hz,300 Hz,400 Hz,and 500 Hz were(33.9±2.8)ms,(43.4±2.1)ms,(45.4±2.6)ms and(46.5±2.4)ms,respectively;and T1ρ values showed a significant progressive increase from the low spin-lock frequency to the high spin-lock frequency of the heart(300 Hz vs.400 Hz:P<0.001;300 Hz vs.500 Hz:P<0.001;400 Hz vs.500 Hz:P=0.043).In addition,the measured myocardial fibrosis index at 300 Hz,400 Hz and 500 Hz were(9.4±2.2)ms,(11.3±2.9)ms and(12.6±2.7)ms,respectively.Statistical analysis underscored significant variations among these measurements(300 Hz vs.400 Hz:P<0.001;300 Hz vs.500 Hz:P<0.001;400 Hz vs.500 Hz:P=0.033).Conclusion In this prospective study,myocardial T1ρ values for the specific cardiac magnetic resonance setting are provided,and we found that spin-lock frequency can affect the T1ρ values.

Purpose To explore the changes in biventricular volume and mass in chronic kidney disease(CKD)patients with preserved ejection fraction using cardiac magnetic resonance(CMR),and evaluate cardiac function using tissue-tracking strain analysis.Materials and Methods The retrospective analysis of 40 CKD patients without symptoms of cardiovascular disease,diabetes and the estimated glomerular filtration rate<60 ml/(min·1.73 m2)who were treated at the First Affiliated Hospital of Anhui Medical University from October 2020 to June 2023 and 25 age-and gender-matched healthy volunteers.All participants underwent 1.5T CMR scans to calculate left and right ventricular function,myocardial strain and native T1 and T2 values,and differences in various imaging parameters between the two groups were compared.Results The native T1 value[(1 109.6±35.9)ms]and T2 value[(58.1±2.9)ms]of CKD patients were significantly higher than those in control group[(1 046.3±15.9)ms,(53.3±2.3)ms](t=8.296,6.916,both P<0.001).The left ventricular end-diastolic volume index,left ventricular end-systolic volume index,left ventricular mass index,right ventricular end-diastolic volume index,right ventricular end-systolic volume index and right ventricular mass index of CKD patients were significantly increased compared with the control group(t=3.233,3.350,5.751,7.746,5.937,2.363,all P<0.05),while the left and right ventricular strain parameters,left ventricular global longitudinal strain,left ventricular global circumferential strain,left ventricular global radial strain,right ventricular global longitudinal strain,right ventricular global circumferential strain and right ventricular global radial strain were significantly decreased(t=9.506,9.072,-10.603,10.496,11.574,-4.018,all P<0.001),and the estimated glomerular filtration rate exhibited significant correlations with left ventricular global longitudinal strain(r=-0.636),left ventricular global radial strain(r=0.688),right ventricular global longitudinal strain(r=-0.513),right ventricular global circumferential strain(r=-0.827)and right ventricular global radial strain(r=0.514)(all P<0.001).Conclusion CMR can quantitatively assess myocardial fibrosis and edema in patients with CKD,and tissue tracking strain analysis can detect myocardial motion abnormalities before changes in ventricular ejection fraction,offering value in the early detection of cardiac involvement in CKD patients..