An investigation of environmental factors influencing quantitative accuracy and recognition rate of craniofacial reconstructions

Aim: The accuracy of forensic craniofacial reconstruction/approximation can be influenced by a number of environmental factors. The aim of this study was to investigate how different average facial soft tissue depth datasets might influence the accuracy of craniofacial reconstruction employing two accuracy assessment methods;face-pool comparison and geometric surface comparison.Methodology: Six craniofacial reconstructions were produced using three-dimensional modeling software from 3D skull images of live Korean adult subjects generated by cone-beam computerized tomography. The six craniofacial reconstructions were divided into two groups: three created using an outdated Korean averaged facial soft tissue thickness dataset, and three created using a recent one. The accuracies for six craniofacial reconstructions were measured using face-pool comparison and geometric surface comparison methods to estimate the influential level of average facial soft tissue depth datasets to craniofacial reconstructions. Results: In face-pool comparisons, the recent dataset demonstrated a higher recognition rate than the outdated one. The results were compared to those of geometric surface comparisons using the same six craniofacial reconstructions; a positive correlation was detected. Interpretation: The results suggest that appropriate averaged facial soft tissue depth datasets influence the accuracy of craniofacial reconstructions, and that the geometric surface comparison method might be interchangeable with face-pool comparison method to evaluate the accuracy of craniofacial reconstructions

Palm vein recognition based on end-to-end convolutional neural network / 南方医科大学学报

We propose a novel palm-vein recognition model based on the end-to-end convolutional neural network. In this model, the convolutional layer and the pooling layer were alternately connected to extract the image features, and the categorical attribute was estimated simultaneously via the neural network classifier. The classification error was minimized via the mini-batch stochastic gradient descent algorithm with momentum to optimize the feature descriptor along with the direction of the gradient descent. Four strategies including data augmentation, batch normalization, dropout, and L2 parameter regularization were applied in the model to reduce the generalization error. The experimental results showed that for classifying 500 subjects form PolyU database and a self-established database, this model achieved identification rates of 99.90% and 98.05%, respectively, with an identification time for a single sample less than 9 ms. The proposed approach, as compared with the traditional method, could improve the accuracy of palm vein recognition in clincal applications and provides a new approach to palm vein recognition.

An investigation on satisfaction of occupational health examination and diagnosis of occupational diseases in Zhejiang Province / 预防医学

Objective To investigate the employers' and employees' satisfaction of Zhejiang Province on occupation health examination and diagnosis of occupational diseases, and to guide and to standardize the occupation health examination and occupational disease diagnosis. Methods A random sample of 953 employers, 1791 workers with health examination and 135 workers with diagnosis of occupational diseases were selected in the survey, and the questionnaire about the Satisfuction on occupation health examination and occupation disease diagnosis were used in this survey. Results A total of 2879 questionnaires were sent out, in which 2841 valid questionnaires were returned, and the effective recovery rate was 98.68%. The recognition rates on comfortable environment, clear instructions process, workflow notification, and attention notification were all above 98%. The satisfaction rates for all items were above 86%, and the total satisfaction rate was 89.27% . The total satisfaction rates of workers with health examination, workers with diagnosis of occupational diseases and employers were 89.28%, 82.03%, and 90.22%, respectively. The recognition rates on clear instructions process and attention notification, and the satisfaction rates on service attitude, result information and overall satisfaction were significantly different between different types of respondents (P<0.05) . The results of pair wise comparison showed that the satisfaction rates of workers with diseases diagnosis on service attitude, results information and overall satisfaction were significantly lower than those of employers (P<0.05) . The overall satisfaction rate of workers with diagnosis of occupational diseases was lower than that of workers with health examination (P=0.011) . The recognition rates of workers with health examination on clear instructions process and attentions notification were lower than those of employers (P<0.016) . There was a significant difference in the overall satisfaction between respondents in different regions (P<0.01) . Conclusion The service of occupational health examination and occupational disease diagnosis services should be further improved. We should better learn the demands of employees and employers, improve service attitude, optimize service processes, shorten service time, and improve service quality and satisfaction.

Meta-analysis of schizophrenia and depression recognition rate in the mental health literacy survey / 中国实用护理杂志

Objective To study the schizophrenia and depression recognition rate in the mental health literacy.Methods Search and select the published questionnaire survey studies literature about mental health literacy.Those studies were analyzed by software RevMan 5.2.Results 10 researches entered accorded with the including criteria,a total of 27 275 samples,12 791 of the respondents recognized schizophrenia.10 499 respondents recognized depression.Meta-analysis results showed that the sum of people with schizophrenia recognition rate was 47％ (95％ CI 24％-69％).The sum of people with schizophrenia recognition rate was 45％ (95％CI 31％-59％).Conclusions People from different areas have a higher recognition rate than that of depression.

Research on EEG for virtual driving between visual and auditory perception / 国际生物医学工程杂志

ObjectiveTo evaluate the effect of electroencephalography(EEG) recognition rate resulted by stimulus of visual, auditory and combined perception. MethodsIn virtual traffic environment, the stimuli were designed in traffic information based on visual, auditory and audio-visual fusion. When one of the three stimuli appeared, the subjects completed starting and braking vehicle by imaginary using of right and left hands at the same time. The EEG signals were recorded and the imaginary motion-related features from C3, C4 were extracted and classified. ResultsThe best recognition rates in visual, auditory and fusion perception were 100％, 100％and 83％, respectively, while the averages of the rates were 68.8％ 、82.2％、76.9％, respectively. Conclusion The recognition rates are affected by the audio, visual and fusion stimulus and apparent individual differences exist.

Survey of the standardization of medical records writing by physicians / 中华医院管理杂志

Objective To study the standardization of medical records writing by residents in hospitals. Methods With both quantitative and qualitative analysis, medical records made by residents were sampled in groups to study their standardization. Results Recognition rate of such medical records was 82. 55%, and the excellence rate was 24. 50% in the grade evaluation. For senior residents, their rate of writing excellence falls below those of junior ones; whether the evaluators have medical background bears no significant difference for grade evaluation of medical records writing, yet a significant difference was found with the recognition rate. Conclusion Writing of medical records by residents is found with incompliance now and then, and the recognition rate ought to be improved.