Porokeratosis is a specific disorder of epidermal keratinization, characterised histologically by the presence of cornoid lamella1. Linear is a distinct, mosaic variant of this autosomal dominant condition. There is a well recognized association between porokeratosis and malignancy, especially the linear variant which has the highest malignant potential2, 3.

Motor imagery electroencephalogram (EEG) signals are non-stationary time series with a low signal-to-noise ratio. Therefore, the single-channel EEG analysis method is difficult to effectively describe the interaction characteristics between multi-channel signals. This paper proposed a deep learning network model based on the multi-channel attention mechanism. First, we performed time-frequency sparse decomposition on the pre-processed data, which enhanced the difference of time-frequency characteristics of EEG signals. Then we used the attention module to map the data in time and space so that the model could make full use of the data characteristics of different channels of EEG signals. Finally, the improved time-convolution network (TCN) was used for feature fusion and classification. The BCI competition IV-2a data set was used to verify the proposed algorithm. The experimental results showed that the proposed algorithm could effectively improve the classification accuracy of motor imagination EEG signals, which achieved an average accuracy of 83.03% for 9 subjects. Compared with the existing methods, the classification accuracy of EEG signals was improved. With the enhanced difference features between different motor imagery EEG data, the proposed method is important for the study of improving classifier performance.
Algorithms ; Brain-Computer Interfaces ; Electroencephalography/methods* ; Humans ; Imagery, Psychotherapy ; Imagination

A total of 60 samples were collected from 35 swimming pools in Beijing, China, and the presence of Cryptosporidium and Giardia were investigated. The results showed that 16.7% and 15.0% of samples were positive for Cryptosporidium oocyst and Giardia cysts, respectively, with a mean concentration of 0.30 oocysts/10 L and 0.27 cysts/10 L. The oocysts and cysts were found to have higher rates of occurrence in August than in May. Genotyping confirmed the presence of Cryptosporidium hominis, C. parvum, and Giardia assemblages A and B, all of which were associated with human infections. The predominant species/assemblages were C. hominis and Giardia assemblage A. Analyses of the relationships between parasite oocysts/cysts, indicator bacteria, and physical-chemical parameters revealed that there was no correlation between 2 parasites and fecal bacterial indicators, whilst there was a significant correlation between protozoa and urea concentration, which indicates that urea concentration rather than fecal bacterial indicators might be an appropriate index for chlorine-resistant protozoa in swimming pools. This study provides useful information to improve the safety of swimming pool water and deduce the risk of protozoan infections.
Bacteria ; Beijing ; China ; Cryptosporidium* ; Giardia* ; Humans ; Oocysts ; Parasites ; Protozoan Infections ; Swimming Pools* ; Swimming* ; Urea ; Water Quality* ; Water*

<p>INTRODUCTIONTo study the understanding and perceived vulnerability of diabetes mellitus among Singapore residents, and determine the predictors associated with screening for diabetes mellitus among the people without the condition.p><p>MATERIALS AND METHODSA population-based survey was conducted from December 2004 to October 2005 involving Singapore residents aged 15 to 69 years. Using a standard questionnaire, Health Survey Officers interviewed household members on their understanding and perceived vulnerability of diabetes mellitus and associated cardiovascular risk factors. Data were analysed using SPSS v13.p><p>RESULTSThe response rate was 84.5%. Of 2,632 respondents, 291 (11.1%) have diabetes mellitus. Compared to respondents without diabetes, respondents with the disease had better understanding of diabetes and they had favourable health practice of screening for cardiovascular risk factors. Having diabetes mellitus was not associated with a healthier lifestyle. Among non-diabetics, those who had a family history of diabetes had better knowledge and health practices than those who had not. They were significantly more likely to recognise the symptoms and signs (61.5% vs 54.5%) and the causes of diabetes (70% vs 58.2%); and were more likely to have ever tested for diabetes (76.1% vs 60.4%), with P <0.001. Socio-demographic characteristics, family history, understanding and perception on the vulnerability of diabetes were identified as predictors associated with health screening for the disease.p><p>CONCLUSIONAmong all respondents, better understanding was found to be associated with favourable health-preventive behaviours. However, it did not translate into healthier lifestyle. Cultural and socio-demographic profiles must be factored in for any effort on lifestyle modifications.p>
Adolescent ; Adult ; Aged ; Diabetes Mellitus ; epidemiology ; prevention & control ; Female ; Health Behavior ; Health Surveys ; Humans ; Male ; Mass Screening ; utilization ; Middle Aged ; Singapore ; epidemiology ; Young Adult

The stability of hemocompatibility of Ti6Al4V alloy and DLC film/Ti6Al4V gradient material has been studied. The platelet consumption ratio of Ti6Al4V alloy to DLC film/Ti6Al4V gradient material has been measured respectively by digital image analysis method. It has been found that the platelet consumption ratio of Ti6Al4V alloy increased remarkedly about 50% after 2,000 m sliding tribological test under the lubrication of Hank's solution, while that of DLC film/Ti6Al4V gradient material almost didn't increase under the same condition, which means that the DLC film/Ti6Al4V gradient material has better stability of hemocompatibility.
Biocompatible Materials ; chemistry ; Blood Coagulation ; drug effects ; Diamond ; chemistry ; Humans ; Image Processing, Computer-Assisted ; In Vitro Techniques ; Materials Testing ; Membranes, Artificial ; Platelet Adhesiveness ; drug effects ; Surface Properties ; Titanium ; chemistry

OBJECTIVE: To create an instrument to determine the mental prisoners' competency to serve a sentence, which is according with the Chinese legal system. METHODS: Integrating the Chinese criminal jurisprudence and the authors' forensic psychiatric experience, the research team created an instrument which called Competency to serve a sentence Rating scale firstly, then used the instrument retrospectively, in the end the validity and reliability of the instrument were inspected and, through an diagnostic test, the feasibility of the instrument was evaluated. RESULTS: Homogeneity reliability of the instrument is 0.8779, the correspondence of the conclusion between the instrument and the expertise is 0.909, except the positive likelihood ratio is 0.0683, the other diagnostic index are better. CONCLUSION The Competency to serve a sentence Rating Scale is feasible.
Adult ; Expert Testimony ; Female ; Forensic Psychiatry ; Humans ; Male ; Mental Competency ; Mental Disorders/psychology* ; Mentally Ill Persons/psychology* ; Prisoners/psychology* ; Psychiatric Status Rating Scales ; Retrospective Studies ; Surveys and Questionnaires ; Young Adult

In order to fully explore the neural oscillatory coupling characteristics of patients with mild cognitive impairment (MCI), this paper analyzed and compared the strength of the coupling characteristics for 28 MCI patients and 21 normal subjects under six different-frequency combinations. The results showed that the difference in the global phase synchronization index of cross-frequency coupling under δ-θ rhythm combination was statistically significant in the MCI group compared with the normal control group ( P = 0.025, d = 0.398). To further validate this coupling feature, this paper proposed an optimized convolutional neural network model that incorporated a time-frequency data enhancement module and batch normalization layers to prevent overfitting while enhancing the robustness of the model. Based on this optimized model, with the phase locking value matrix of δ-θ rhythm combination as the single input feature, the diagnostic accuracy of MCI patients was (95.49 ± 4.15)%, sensitivity and specificity were (93.71 ± 7.21)% and (97.50 ± 5.34)%, respectively. The results showed that the characteristics of the phase locking value matrix under the combination of δ-θ rhythms can adequately reflect the cognitive status of MCI patients, which is helpful to assist the diagnosis of MCI.
Humans ; Electroencephalography/methods* ; Cognitive Dysfunction/diagnosis* ; Neural Networks, Computer ; Sensitivity and Specificity

Considering the small differences between different types in the diabetic retinopathy (DR) grading task, a retinopathy grading algorithm based on cross-layer bilinear pooling is proposed. Firstly, the input image is cropped according to the Hough circle transform (HCT), and then the image contrast is improved by the preprocessing method; then the squeeze excitation group residual network (SEResNeXt) is used as the backbone of the model, and a cross-layer bilinear pooling module is introduced for classification. Finally, a random puzzle generator is introduced in the training process for progressive training, and the center loss (CL) and focal loss (FL) methods are used to further improve the effect of the final classification. The quadratic weighted Kappa (QWK) is 90.84% in the Indian Diabetic Retinopathy Image Dataset (IDRiD), and the area under the receiver operating characteristic curve (AUC) in the Messidor-2 dataset (Messidor-2) is 88.54%. Experiments show that the algorithm proposed in this paper has a certain application value in the field of diabetic retina grading.
Humans ; Diabetic Retinopathy/diagnostic imaging* ; Algorithms ; ROC Curve ; Diabetes Mellitus

There are some limitations in the localization of epileptogenic zone commonly used by human eyes to identify abnormal discharges of intracranial electroencephalography in epilepsy. However, at present, the accuracy of the localization of epileptogenic zone by extracting intracranial electroencephalography features needs to be further improved. As a new method using dynamic network model, neural fragility has potential application value in the localization of epileptogenic zone. In this paper, the neural fragility analysis method was used to analyze the stereoelectroencephalography signals of 35 seizures in 20 patients, and then the epileptogenic zone electrodes were classified using the random forest model, and the classification results were compared with the time-frequency characteristics of six different frequency bands extracted by short-time Fourier transform. The results showed that the area under curve (AUC) of epileptic focus electrodes based on time-frequency analysis was 0.870 (delta) to 0.956 (high gamma), and its classification accuracy increased with the increase of frequency band, while the AUC by using neural fragility could reach 0.957. After fusing the neural fragility and the time-frequency characteristics of the γ and high γ band, the AUC could be further increased to 0.969, which was improved on the original basis. This paper verifies the effectiveness of neural fragility in identifying epileptogenic zone, and provides a theoretical reference for its further clinical application.
Humans ; Electroencephalography/methods* ; Epilepsy/diagnosis* ; Seizures ; Stereotaxic Techniques

OBJECTIVE: To explore the effect of basic fibroblast growth factor (bFGF), epidermal growth factor (EGF), and the combination of bFGF and EGF in the neural differentiation of human bone marrow mesenchymal stem cells (hBMSCs), and the role of Wnt/β-catenin signaling pathway in this process. METHODS: The identified 4th-generation hBMSCs were divided into five groups according to different induction conditions, namely control group (group A), EGF induction group (group B), bFGF induction group (group C), EGF and bFGF combined induction group (group D), and EGF, bFGF, and Dickkopf-related protein 1 (DKK-1) combined induction group (group E). After 7 days of continuous induction, the cell morphology was observed by inverted fluorescence phase contrast microscopy, levels of genes that were related to neural cells [Nestin, neuron-specific enolase (NSE), microtubule-associated protein 2 (MAP-2), and glial fibrillary acidic protein (GFAP)] and key components of the Wnt/β-catenin signaling pathway (β-catenin and Cyclin D1) were detected by RT-PCR, and the levels of proteins that were related to neural cells (Nestin and GFAP) as well as genes that were involved in Wnt/β-catenin signaling pathway [β-catenin, phosphorylation β-catenin (P-β-catenin), Cytoplasmic β-catenin, and Nuclear β-catenin] were explored by cellular immunofluorescence staining and Western blot. RESULTS: When compared to groups A and B, the typical neuro-like cell changes were observed in groups C-E, and most obviously in group D. RT-PCR showed that the relative expressions of Nestin, NSE, and MAP-2 genes in groups C-E, the relative expressions of GFAP gene in groups D and E, the relative expression of NSE gene in group B, the relative expressions of β-catenin gene in groups C and D, and the relative expressions of Cyclin D1 gene in groups B-D significantly increased when compared with group A ( P<0.05). Compared with group E, the relative expressions of Nestin, NSE, MAP-2, GFAP, β-catenin, and CyclinD1 genes significantly increased in group D ( P<0.05); compared with group C, the relative expression of Nestin gene in group D significantly decreased ( P<0.05), while NSE, MAP-2, and GFAP genes significantly increased ( P<0.05). The cellular immunofluorescence staining showed that the ratio of NSE- and GFAP-positive cells significantly increased in groups C-E than in group A, in group D than in groups C and E ( P<0.05). Western blot assay showed that the relative expression of NSE protein was significantly higher in groups C and D than in group A and in group D than in groups C and E ( P<0.05). In addition, the relative expression of GFAP protein was significantly higher in groups C-E than in group A and in group D than in group E ( P<0.05). Besides, the relative expressions of β-catenin, Cytoplasmic β-catenin, Nuclear β-catenin, and the ratio of Nuclear β-catenin to Cytoplasmic β-catenin were significantly higher in groups C and D than in group A and in group D than in group E ( P<0.05), whereas the relative expression of P-β-catenin protein was significantly lower in groups C and D than in group A and in group D than in group E ( P<0.05). CONCLUSION Different from EGF, bFGF can induce neural differentiation of hBMSCs. In addition, EGF can enhance the hBMSCs neural differentiation of bFGF, while the Wnt/β-catenin signaling pathway may play a positive regulatory role in these processes.
Humans ; beta Catenin/metabolism* ; Bone Marrow Cells ; Cell Differentiation ; Cells, Cultured ; Epidermal Growth Factor/metabolism* ; Mesenchymal Stem Cells ; Wnt Signaling Pathway ; Neurons ; Fibroblast Growth Factor 2/metabolism*