Circulating miR-27b as a Biomarker of the Development and Progression of Carotid Artery Stenosis.

OBJECTIVE: A close relationship of microRNAs (miRNAs) with various human diseases has been widely reported, including cardiovascular disease. The current study attempted to examine the abnormal expression of miR-27b in asymptomatic carotid artery stenosis (ACAS), its diagnostic value and predictive value for the development of ACAS were also assessed. METHODS: Clinical serum samples were collected from both ACAS patients and healthy individuals, and levels of miR-27b in the clinical samples were detected using Real-time quantitative PCR. Cerebral ischemia events (CIEs) of patients during the 5-year follow-up were collected. The diagnostic and predictive values of serum miR-27b was assessed via plotting Receiver operating characteristic (ROC) and Kaplan-Meier curves. Multivariate cox regression analysis was performed for clinical independent index analysis. RESULTS: ACAS patients had higher levels of miR-27b than the healthy subjects. There were close association of serum miR-27b levels with total cholesterol (TC) level, absence of hypertension and degree of carotid stenosis. High levels of miR-27b could differentiate ACAS cases from healthy subjects, and predicted the high incidence of CIEs. MiR-27b could be used as an independent predictor of cerebrovascular events via multiple Cox regression analysis (P = .031). CONCLUSION: The high level of miR-27b can predict the occurrence of ACAS, and is closely related to the subsequent occurrence of CIEs. The present results provide evidence for circulating miR-27b as a diagnostic and prognostic marker in patients with ACAS.

Therapeutic analysis of Herbert screw fixation for capitellar fractures via the anterior approach in adolescent patients.

OBJECTIVE: The aim of this study is to analyze the efficacy of open reduction and Herbert screw fixation for coronal fractures of the capitellum via the anterior approach in adolescents. METHODS: We retrospectively analyzed the clinical and imaging data of 15 adolescents with capitellar fractures who were admitted to our hospital from May 2014 to May 2019. The fracture was reduced through the cubital crease incision via the anterior approach and was internally fixated with Herbert screws. A follow-up was conducted after the operation to examine fracture healing and elbow function. The postoperative functional recovery of patients was evaluated with the Mayo Elbow Performance index (MEPI) and the Broberg-Morrey rating system. RESULTS: Patients underwent surgery 3.7 days after injury on average. Intraoperative fracture reduction was satisfactory. No vascular injury or nerve injury occurred. Bony union occurred in an average of 6 weeks after the operation. All adolescents completed a 12- to 36-month follow-up. At the last follow-up, the Mayo Elbow Performance index was considered excellent in 12 patients and good in three patients. The Broberg-Morrey score was considered excellent in 12 patients, good in two patients, and fair in one patient. CONCLUSION: Open reduction with Herbert screw fixation via the anterior approach is a feasible surgical method for the treatment of coronal fractures of the capitellum in adolescents. LEVELS OF EVIDENCE: Therapeutic, retrospective study-Level IV.

Metagenomic Study on Chinese Homemade Paocai: The Effects of Raw Materials and Fermentation Periods on the Microbial Ecology and Volatile Components.

"Chinese paocai" is typically made by fermenting red radish or cabbage with aged brine (6-8 w/w). This study aimed to reveal the effects of paocai raw materials on fermentation microorganisms by metagenomics sequencing technology, and on volatile organic compounds (VOCs) by gas chromatography-mass spectroscopy, using red radish or cabbage fermented for six rounds with aged brine. The results showed that in the same fermentation period, the microbial diversity in cabbage was higher than that in red radish. Secundilactobacillus paracollinoides and Furfurilactobacillus siliginis were the characteristic bacteria in red radish paocai, whereas 15 species of characteristic microbes were found in cabbage. Thirteen kinds of VOCs were different between the two raw materials and the correlation between the microorganisms and VOCs showed that cabbage paocai had stronger correlations than radish paocai for the most significant relationship between 4-isopropylbenzyl alcohol, α-cadinol, terpinolene and isobutyl phenylacetate. The results of this study provide a theoretical basis for understanding the microbiota and their relation to the characteristic flavors of the fermented paocai.

Fasciotomy through multiple small skin incisions for the treatment of early acute osteofascial compartment syndrome in children.

BACKGROUND: The purpose of the present study is to investigate the therapeutic effect of fasciotomy through multiple small skin incisions for the treatment of early osteofascial compartment syndrome in children. METHODS: From January 2009 to May 2017, 56 pediatric patients with early osteofascial compartment syndrome in their limbs were admitted into our department and treated with multiple small skin incisions for decompression at the early stage. The skin incisions, function, and sensation of the limbs were followed up. RESULTS: The osteofascial compartment syndrome was diagnosed at 7.4 ± 2.1 h after injury, and then fasciotomy was performed at 1.4 ± 0.4 h later. The average procedure time of fasciotomy was 12.7 ± 4.8 min. No postoperative incision infections or neurovascular injuries were observed in all the patients. The incisions completely healed in 7-10 days with an average healing time of 8 days without secondary suture. The patients were followed up for an average of 5.1 years. No Volkmann's contractures in the injured limbs were found. The appearance, electromyography, and nerve conduction velocity of the affected limbs were not significantly different from that of the contralateral limbs. All the patients were free of symptoms and were fully recovered of sensation and function, being an "excellent" outcome at the latest follow-up. CONCLUSION: Fasciotomy through multiple small skin incisions, which can be useful to decompress the compartment pressure with fewer complications, is a simple and effective strategy for the treatment of early osteofascial compartment syndrome in children.

Publisher Correction: Study on the Visualization of Pigment in Haematococcus pluvialis by Raman Spectroscopy Technique.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

A Model-Based System for Real-Time Articulated Hand Tracking Using a Simple Data Glove and a Depth Camera.

Tracking detailed hand motion is a fundamental research topic in the area of human-computer interaction (HCI) and has been widely studied for decades. Existing solutions with single-model inputs either require tedious calibration, are expensive or lack sufficient robustness and accuracy due to occlusions. In this study, we present a real-time system to reconstruct the exact hand motion by iteratively fitting a triangular mesh model to the absolute measurement of hand from a depth camera under the robust restriction of a simple data glove. We redefine and simplify the function of the data glove to lighten its limitations, i.e., tedious calibration, cumbersome equipment, and hampering movement and keep our system lightweight. For accurate hand tracking, we introduce a new set of degrees of freedom (DoFs), a shape adjustment term for personalizing the triangular mesh model, and an adaptive collision term to prevent self-intersection. For efficiency, we extract a strong pose-space prior to the data glove to narrow the pose searching space. We also present a simplified approach for computing tracking correspondences without the loss of accuracy to reduce computation cost. Quantitative experiments show the comparable or increased accuracy of our system over the state-of-the-art with about 40% improvement in robustness. Besides, our system runs independent of Graphic Processing Unit (GPU) and reaches 40 frames per second (FPS) at about 25% Central Processing Unit (CPU) usage.

Cannulated screw and Kirschner fixation for the treatment of medial and lateral malleolar epiphyseal fractures in children: a retrospective study of 36 cases.

BACKGROUND: Percutaneous fixation with cannulated screws is an effective method for treating medial malleolar epiphyseal fractures, which comprise a portion of bimalleolar and trimalleolar fractures. Lateral malleolar fractures also need to be fixed to achieve anatomical reduction and absolute stable fixation of the ankle. However, there are no individual studies in the literature on this topic. METHODS: Thirty-six children (22 boys and 14 girls) aged 8 to 15 years (average, 11.3 years) with medial and lateral epiphyseal fractures were treated by cannulated screw and Kirschner fixation after closed reduction from January 2010 to December 2015 in our hospital. The patients were examined each month postoperatively. Ankle function was assessed using the Baird-Jackson ankle score. RESULTS: The 36 patients were followed up for 18 to 29 months (average, 25 months). No cases of fracture non-union or secondary displacement were observed, and the healing time was 2.8 ± 1.1 months (range, 2-4 months). At the last follow-up visit, the Baird-Jackson ankle score ranged from 83 to 100 (average, 94), including an "excellent" score in 13 cases, a "good" score in 19 cases, a "fair" score in 4 cases, and a "poor" score in 0 cases. The ankle recovered to the pre-injury level of function within 3.5 ± 1.6 months (range, 2-5 months). Dysfunction, pain, instability, and premature epiphyseal closure were not observed during the follow-up of the 36 patients. CONCLUSIONS: Cannulated screw and Kirschner fixation after closed reduction is an effective and readily available method for the treatment of medial and lateral malleolar epiphyseal fractures in children.

Study on the Visualization of Pigment in Haematococcus pluvialis by Raman Spectroscopy Technique.

As an ideal raw material for the production of astaxanthin, H. pluvialis was drawing attention during the last few years, there are some research topics initiated to find out the synthetic pathway of astaxanthin in H. pluvialis. In this study, confocal microscopic Raman technology was utilized to analyze the point-by-point mapping for H. pluvialis, and the visualization of pigment such as carotenoid and astaxanthin content were achieved. By comparing the Raman spectra of H. pluvialis and standard product of astaxanthin, and using the C = C stretching vibration of the Raman intensity as the main indicator for carotenoids, the visual spatial distribution for the carotenoids content was obtained. The MCR-ALS was applied to analyze the Raman data of H. pluvialis, and the information of astaxanthin was extracted to achieve real-time spatial distribution. The visualization of astaxanthin content shows that MCR-ALS is very effective for extracting the information of astaxanthin content from H. pluvialis. By exploring the spatial distribution of carotenoids and astaxanthin contents, analyzing the spatial distribution rules during its growth, Raman spectroscopy technology can be utilized to investigate the internal components of the pigment (ataxanthin, etc.) in H. pluvialis, which make it as an effective methodology to monitor the accumulation and changing mechanism of pigment content in microalgae.

FPGA-Based On-Board Geometric Calibration for Linear CCD Array Sensors.

With increasing demands in real-time or near real-time remotely sensed imagery applications in such as military deployments, quick response to terrorist attacks and disaster rescue, the on-board geometric calibration problem has attracted the attention of many scientists in recent years. This paper presents an on-board geometric calibration method for linear CCD sensor arrays using FPGA chips. The proposed method mainly consists of four modules-Input Data, Coefficient Calculation, Adjustment Computation and Comparison-in which the parallel computations for building the observation equations and least squares adjustment, are implemented using FPGA chips, for which a decomposed matrix inversion method is presented. A Xilinx Virtex-7 FPGA VC707 chip is selected and the MOMS-2P data used for inflight geometric calibration from DLR (Köln, Germany), are employed for validation and analysis. The experimental results demonstrated that: (1) When the widths of floating-point data from 44-bit to 64-bit are adopted, the FPGA resources, including the utilizations of FF, LUT, memory LUT, I/O and DSP48, are consumed at a fast increasing rate; thus, a 50-bit data width is recommended for FPGA-based geometric calibration. (2) Increasing number of ground control points (GCPs) does not significantly consume the FPGA resources, six GCPs is therefore recommended for geometric calibration. (3) The FPGA-based geometric calibration can reach approximately 24 times faster speed than the PC-based one does. (4) The accuracy from the proposed FPGA-based method is almost similar to the one from the inflight calibration if the calibration model and GCPs number are the same.

Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers.

We investigated the feasibility and potentiality of presymptomatic detection of tobacco disease using hyperspectral imaging, combined with the variable selection method and machine-learning classifiers. Images from healthy and TMV-infected leaves with 2, 4, and 6 days post infection were acquired by a pushbroom hyperspectral reflectance imaging system covering the spectral range of 380-1023 nm. Successive projections algorithm was evaluated for effective wavelengths (EWs) selection. Four texture features, including contrast, correlation, entropy, and homogeneity were extracted according to grey-level co-occurrence matrix (GLCM). Additionally, different machine-learning algorithms were developed and compared to detect and classify disease stages with EWs, texture features and data fusion respectively. The performance of chemometric models with data fusion manifested better results with classification accuracies of calibration and prediction all above 80% than those only using EWs or texture features; the accuracies were up to 95% employing back propagation neural network (BPNN), extreme learning machine (ELM), and least squares support vector machine (LS-SVM) models. Hence, hyperspectral imaging has the potential as a fast and non-invasive method to identify infected leaves in a short period of time (i.e. 48 h) in comparison to the reference images (5 days for visible symptoms of infection, 11 days for typical symptoms).

Identification of pesticide varieties by detecting characteristics of Chlorella pyrenoidosa using Visible/Near infrared hyperspectral imaging and Raman microspectroscopy technology.

The main goal of this research is to examine the feasibility of applying Visible/Near-infrared hyperspectral imaging (Vis/NIR-HSI) and Raman microspectroscopy technology for non-destructive identification of pesticide varieties (glyphosate and butachlor). Both mentioned technologies were explored to investigate how internal elements or characteristics of Chlorella pyrenoidosa change when pesticides are applied, and in the meantime, to identify varieties of the pesticides during this procedure. Successive projections algorithm (SPA) was introduced to our study to identify seven most effective wavelengths. With those wavelengths suggested by SPA, a model of the linear discriminant analysis (LDA) was established to classify the pesticide varieties, and the correct classification rate of the SPA-LDA model reached as high as 100%. For the Raman technique, a few partial least squares discriminant analysis models were established with different preprocessing methods from which we also identified one processing approach that achieved the most optimal result. The sensitive wavelengths (SWs) which are related to algae's pigment were chosen, and a model of LDA was established with the correct identification reached a high level of 90.0%. The results showed that both Vis/NIR-HSI and Raman microspectroscopy techniques are capable to identify pesticide varieties in an indirect but effective way, and SPA is an effective wavelength extracting method. The SWs corresponding to microalgae pigments, which were influenced by pesticides, could also help to characterize different pesticide varieties and benefit the variety identification.

Identification of pesticide varieties by testing microalgae using Visible/Near Infrared Hyperspectral Imaging technology.

In our study, the feasibility of using visible/near infrared hyperspectral imaging technology to detect the changes of the internal components of Chlorella pyrenoidosa so as to determine the varieties of pesticides (such as butachlor, atrazine and glyphosate) at three concentrations (0.6 mg/L, 3 mg/L, 15 mg/L) was investigated. Three models (partial least squares discriminant analysis combined with full wavelengths, FW-PLSDA; partial least squares discriminant analysis combined with competitive adaptive reweighted sampling algorithm, CARS-PLSDA; linear discrimination analysis combined with regression coefficients, RC-LDA) were built by the hyperspectral data of Chlorella pyrenoidosa to find which model can produce the most optimal result. The RC-LDA model, which achieved an average correct classification rate of 97.0% was more superior than FW-PLSDA (72.2%) and CARS-PLSDA (84.0%), and it proved that visible/near infrared hyperspectral imaging could be a rapid and reliable technique to identify pesticide varieties. It also proved that microalgae can be a very promising medium to indicate characteristics of pesticides.

Discrimination of tomatoes bred by spaceflight mutagenesis using visible/near infrared spectroscopy and chemometrics.

Visible/near infrared spectroscopy (Vis/NIR) based on sensitive wavelengths (SWs) and chemometrics was proposed to discriminate different tomatoes bred by spaceflight mutagenesis from their leafs or fruits (green or mature). The tomato breeds were mutant M1, M2 and their parent. Partial least squares (PLS) analysis and least squares-support vector machine (LS-SVM) were implemented for calibration models. PLS analysis was implemented for calibration models with different wavebands including the visible region (400-700 nm) and the near infrared region (700-1000 nm). The best PLS models were achieved in the visible region for the leaf and green fruit samples and in the near infrared region for the mature fruit samples. Furthermore, different latent variables (4-8 LVs for leafs, 5-9 LVs for green fruits, and 4-9 LVs for mature fruits) were used as inputs of LS-SVM to develop the LV-LS-SVM models with the grid search technique and radial basis function (RBF) kernel. The optimal LV-LS-SVM models were achieved with six LVs for the leaf samples, seven LVs for green fruits, and six LVs for mature fruits, respectively, and they outperformed the PLS models. Moreover, independent component analysis (ICA) was executed to select several SWs based on loading weights. The optimal LS-SVM model was achieved with SWs of 550-560 nm, 562-574 nm, 670-680 nm and 705-71 5 nm for the leaf samples; 548-556 nm, 559-564 nm, 678-685 nm and 962-974 nm for the green fruit samples; and 712-718 nm, 720-729 nm, 968-978 nm and 820-830 nm for the mature fruit samples. All of them had better performance than PLS and LV-LS-SVM, with the parameters of correlation coefficient (rp), root mean square error of prediction (RMSEP) and bias of 0.9792, 0.2632 and 0.0901 based on leaf discrimination, 0.9837, 0.2783 and 0.1758 based on green fruit discrimination, 0.9804, 0.2215 and -0.0035 based on mature fruit discrimination, respectively. The overall results indicated that ICA was an effective way for the selection of SWs, and the Vis/NIR combined with LS-SVM models had the capability to predict the different breeds (mutant M1, mutant M2 and their parent) of tomatoes from leafs and fruits.