Objective To explore the method of objective identification of color information in sublingual veins diagnosis of TCM.Methods Combined with computer vision,compact fully convolution networks(CFCNs)and 19 deep learning classification models were used for study,and a double pulse rectangle algorithm was designed as a means of segmentation and recognition of sublingual veins and color information extraction.Results The accuracy of segmentation of tongue bottom obtained by the method of removing reflection + data expanding + data post-processing was 0.955 9,F1 value was 0.947 3,and mIoU value was 0.900 0.The accuracy of segmentation of sublingual veins obtained by the method of removing reflection + tongue input + data expanding + corrosion expansion was 0.778 4,F1 value was 0.738 3 and mIoU value was 0.585 1,which were obviously superior to the current classic or improved U-net model.On the color classification of sublingual veins,the best classification model was DenseNet161-bc-early_stopping with an accuracy rate of 0.803 7.Conclusion The deep learning method has a certain effect on identifying the color information of sublingual veins in TCM,which provides a new method for the research of quantitative color detection technology of sublingual veins diagnosis in TCM.

Objective To summarize and analyze relevant literature on image feature extraction,segmentation,and classification of tongue and facial diagnosis,we explore the research hotspots and development trends in this field and provide ideas for future research on image processing of tongue and facial diagnosis.Methods China National Knowledge Infrastructure was used as the data source,and 439 papers were included according to the exclusion criteria,the inclusion criteria,and the search strategy.Finally,Gephi software was applied to visualize and analyze the co-word network of authors,research institutions,and keywords of relevant literature.Results The overall number of articles issued is low as seen in the annual volume,but the overall trend is steadily increasing.The research team is mainly represented by the team of Li Fufeng,Zhang Xinfeng,Xu Jiatuo,Wang Yiqin,and Wang Hongwu.Most of the research institutes are regional medical-industrial crossover collaborations.Conclusion Hot research trends gradually toward deep learning for image processing.Meanwhile,teamwork across regions and institutions needs to be strengthened.It is recommended to further promote the development of multidisciplinary cross-fertilization and intelligent and objective quantification of Traditional Chinese Medicine diagnosis(tongue and face diagnosis).

Petrochemical-derived polyester plastics such as polyethylene terephthalate (PET) and polybutylene adipate terephthalate (PBAT) have been widely used. However, the difficulty to be degraded in nature (PET) or the long biodegradation cycle (PBAT) resulted in serious environmental pollution. In this connection, treating these plastic wastes properly becomes one of the challenges of environment protection. From the perspective of circular economy, biologically depolymerizing the waste of polyester plastics and reusing the depolymerized products is one of the most promising directions. Recent years have seen many reports on polyester plastics degrading organisms and enzymes. Highly efficient degrading enzymes, especially those with better thermal stability, will be conducive to their application. The mesophilic plastic-degrading enzyme Ple629 from the marine microbial metagenome is capable of degrading PET and PBAT at room temperature, but it cannot tolerate high temperature, which hampers its potential application. On the basis of the three-dimensional structure of Ple629 obtained from our previous study, we identified some sites which might be important for its thermal stability by structural comparison and mutation energy analysis. We carried out transformation design, and performed expression, purification and thermal stability determination of the mutants. The melting temperature (T_m) values of mutants V80C and D226C/S281C were increased by 5.2 ℃ and 6.9 ℃, respectively, and the activity of mutant D226C/S281C was also increased by 1.5 times compared with that of the wild-type enzyme. These results provide useful information for future engineering and application of Ple629 in polyester plastic degradation.
Plastics/metabolism* ; Polyethylene Terephthalates/metabolism* ; Biodegradation, Environmental ; Metagenome

Objective? To explore the effects of WeChat combined with module teaching in minimally invasive surgery nursing training. Methods? From July 2016 to June 2018, 56 junior nurses in operating room were randomly divided into control group and experimental group, 28 nurses in each group by random table. Control group carried out routine teaching combined with module teaching, while experimental group adopted WeChat combined with module teaching. We compared the theoretical achievements, skills performance and satisfaction of surgeons with nursing. Results? Twelve months after training, the theoretical achievements and skills performance of experimental group were (76.93±5.31) and (78.79±4.86) respectively, higher than those of control group with statistical differences (t=-3.34, -3.13;P＜ 0.05). Satisfaction of surgeons with nursing provided by nurses was (94.68±3.37) in experimental group and (72.26±4.67) in control group with a statistical difference (t=-35.64,P＜ 0.05). Conclusions? The application of WeChat combined with module teaching in minimally invasive surgery nursing training for junior nurses can stimulate the enthusiasm of autonomous learning, raise the theoretical achievements and skills performance and improve satisfaction of surgeons with nursing for surgeries.

The technical structure of a low-cost thermal imaging system (TIM) lunched on a mobile phone was investigated, which consists of a thermal infrared module and mobile phone and application software. The designing strategies and technical factors toward realizing various TIM array performances are interpreted, including sensor cost and Noise Equivalent Temperature Difference (NETD). In the software algorithm, a mechanism for scene-change detection was implemented to optimize the efficiency of non-uniformity correction (NUC). The performance experiments and analysis indicate that the NETD of the system can be smaller than 150 mK when the integration time is larger than 16 frames. Furthermore, a practical application for human temperature monitoring during physical exercise is proposed and interpreted. The measurement results support the feasibility and facility of the system in the medical application.
Algorithms ; Body Temperature ; Cell Phone ; Humans ; Infrared Rays ; Mobile Applications

This article was aimed to study the proteomic spectra expression of traditional Chinese medicine (TCM) cold and heat constitution rats with two-dimensional gel electrophoresis (2-DE), in order to search for the cold and heat-associated proteins for the investigation of the biological basis of TCM cold and heat body constitution formation. The total protein in rat’s liver cell was extracted. The 2-DE and MALDI-TOF/TOF mass spectrometry (MS) were used in the screening and identification of differentially expressed proteins of cold and heat constitution rats. The results showed that a total of 10 different points in the protein expression were obtained with statistical significance after screening and MS, which were carbamoyl-phosphate synthase, protein disulfide isomerase associated 3, catalase, hydroperoxide isomerase, cytosol aminopeptidase, glutamate dehydrogenase 1, 3-hydroxy-3-methylglutaryl-coenzyme A synthase 2, heat shock protein 60 (Hsp60) precursor, homocysteine, 78 kDa glucose-regulated protein precursor. It was concluded that some differences were existed in the proteomic spectra expression of TCM cold and heat constitution rats. The abnormality of enzyme protein metabolism may be one of the material bases for the formation of cold and heat constitution.

This paper reviewed researches reported in the last 10 years on traditional Chinese medicine (TCM) facial diagnosis information acquisition and recognition. It summarized the information acquisition environment, facial segmentation method, recognition method and analysis of facial characteristics. Some clinical application examples based on modern consultation technologies were enumerated. Meanwhile, analysis was made on shortcomings of TCM facial diagnosis. It showed direction for its in-depth study.

The central nervous system (CNS) plays a key regulatory role in glucose homeostasis. In particular, the brain is important in initiating and coordinating protective counterregulatory responses when blood glucose levels fall. This may due to the metabolic dependency of the CNS on glucose, and protection of food supply to the brain. In healthy subjects, blood glucose is normally maintained within a relatively narrow range. Hypoglycemia in diabetic patients can increase the risk of complications, such as heart disease and diabetic peripheral neuropathy. The clinical research finds that the use of traditional Chinese medicine (TCM) has a positive effect on the treatment of hypoglycemia. Here the authors reviewed the current understanding of sensing and counterregulatory responses to hypoglycemia, and discuss combining traditional Chinese and Western medicine and the theory of iatrogenic hypoglycemia in diabetes treatment. Furthermore, the authors clarify the feasibility of treating hypoglycemia on the basis of TCM theory and CNS and have an insight on its clinical practice.

To explore the changes in metabolites in the greasy tongue coating in patients with chronic gastritis.

The ensemble empirical mode decomposition (EEMD) can be used to overcome the mode mixing problem of empirical mode decomposition (EMD) effectively. The EEMD method and Hilbert-Huang Transform (HHT) can be used to analyze pulse signals of Traditional Chinese Medicine (TCM). The amplitudes of the added white noise were about 0.1 and 0.2 time standard deviation of the investigated signal respectively. The difference of average frequency and average energy of every mode between normal pulse, slippery pulse, wiry pulse and wiry-slippery pulse were demonstrated based on different amplitudes of the added white noise. The results showed that it is more in line with clinical practice when the amplitude of the added white noise is about 0.2 time standard deviation of the investigated signal.
Algorithms ; Artifacts ; Diagnosis, Differential ; Humans ; Medicine, Chinese Traditional ; methods ; Pulse ; Signal Processing, Computer-Assisted