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Background Increasing evidence shows that microRNA-7a-5p (miR-7a-5p) plays an important role in regulating the inflammatory process in inflammatory bowel disease (IBD). How miR-7a-5p contributes to this process is poorly defined. The purpose of this study was to examine whether miR-7a-5p regulates 2,4,6-trinitrobenzene sulfonic acid (TNBS)-induced inflammatory responses via the JNK pathway. Methods Colitis was induced in male mice by intracolonic administration of TNBS; mice were divided into 3 groups: normal control (NC), TNBS, and miR-7a-5p antagomir-treated group. Inflammatory responses were estimated by disease activity index (DAI) and histological scores. The relative expressions of miR-7a-5p and tight junction protein, ZO-1, were detected by RT-qPCR. Western blot assays were used to estimate the level of JNK pathway proteins and ZO-1. After miRNA-antagomir injection, the extent of colonic tissue injury and expression levels of ZO-1 and JNK in intestinal tissue were compared. Results miR-7a-5p and p-JNK expression were higher in the intestinal tissue of the TNBS group as compared to NC. Inhibition of the expression of miR-7a-5p resulted in significantly decreased expression of p-JNK but increased expression of ZO-1 and promoted the recovery of intestinal mucosa. Conclusion This work demonstrates a correlation between the JNK pathway and miR-7a-5p in TNBS-induced experimental colitis in mice, which may provide a new research direction for the treatment of IBD.

Effective chiller fault diagnosis is of great importance for maintaining a better service and energy efficiency. Deep learning proficiently solves some problems challenging Artificial Intelligence and becomes one of the excellent candidates for fault diagnosis recently. This study proposes a novel fault diagnosis strategy for a chiller, which merges simulated annealing (SA) into a deep neural network (DNN) to obtain effective, efficient, and stable performance. The proposed SA-DNN strategy is carefully compared with DNN and back-propagation (BP) network. The results show that SA-DNN enhances the diagnostic accuracy, shortens the running time, and greatly improves the model stability. The optimal network structure has 2 hidden layers (HL) with each layer 64 nodes, and the overall diagnostic accuracy for seven typical faults attains 99.30%. The nodes in the first HL are proved to be dominant over those in the second or behind because the mapping of the second can hardly make corrections if that of the first is deformed already. The global faults are hard to be diagnosed due to the global effect, but the proposed strategy achieves satisfactory results with the highest individual accuracy reaching 99.79% for excess oil and the lowest 97.52% for refrigerant leakage. The features used for diagnosis have an influence on the accuracy of the proposed method.

Background: Rapid advances in TBCB in recent years have allowed its gradual acceptance as a diagnostic method for DLD, and an alternative to surgical lung biopsy . However, the various guidelines have yet to provide clear recommendations for TBCB. This study investigated the diagnostic value of transbronchial cryobiopsy (TBCB) for identifying diffuse lung disease (DLD) .Methods: The clinical data was reviewed of 34 patients who showed initial signs of diffuse lung lesions, interstitial pneumonia, bronchial asthma, lung cancer/infection, or pulmonary alveolar proteinosis; and underwent TBCB from December 2018 to March 2021. The safety and effectiveness of TBCB in identifying the etiology of DLD was analyzed.Results: Clear pathomorphological diagnoses were obtained for 27 (79.4%) patients, based on clinical characteristics and pathology: pulmonary fibrosis, adenocarcinoma, alveolar proteinosis, extrinsic allergic alveolitis, tuberculous granulomatous inflammation, and interstitial pneumonia. Four (11.8%) patients required multi-disciplinary discussion for diagnostic confirmation (of diffuse lesions, interstitial pneumonia, and lung infection). The etiology of 3 cases remained unknown. The rate of DLD diagnosis via TBCB was 91.2% (31/34). Associated with the TBCB procedure, 9 (26.5%) patients developed pneumothorax (6 mild, 3 moderate), and 29 (85.3%) post-biopsy bleeding (all grade 1, requiring suction and compression, but no other intervention or surgery). The average hospitalization cost and length of stay were 7988 RMB (1233 USD) and 5.48 days, respectively.Conclusion: TBCB is safe, cost-effective, requires a short hospitalization, and the diagnostic confirmation rate for DLD is high.

Accurate electricity forecasting is very significant to power system. Modern smart grid has huge data and complex structure, and the nonlinear relationship between influencing factors and electricity demand is complex, random and changeable. Only by making full use of large amounts of data, accurate, stable and reliable medium and long-term electricity prediction can be made. Based on the traditional Solow Model, this paper proposes an Extended Solow Model by analyzing a lot of economic data and extracting key influencing factors. With the real load data of Hubei power grid, the experimental results show that the Extended Solow Model proposed by this paper can effectively improve the forecasting accuracy of 1.40% compared with the traditional Solow Model.

For ensuring the safety and reliability of electronic equipment, it is a necessary task to detect the surface defects of the printed circuit board (PCB). Due to the smallness, complexity and diversity of minor defects of PCB, it is difficult to identify minor defects in PCB with traditional methods. And the target detection method based on deep learning faces the problem of imbalance between foreground and background when detecting minor defects. Therefore, this paper proposes a minor defect detection method on PCB based on FL-RFCN (focal loss and Region-based Fully Convolutional Network) and PHFE (parallel high-definition feature extraction). Firstly, this paper uses the Region-based Fully Convolutional Network(R-FCN) to identify minor defects on the PCB. Secondly, the focal loss is used to solve the problem of data imbalance in neural networks. Thirdly, the parallel high-definition feature extraction algorithm is used to improve the recognition rate of minor defects. In the detection of minor defects on PCB, the ablation experiment proves that the mean Average accuracy (mAP) of the proposed method is increased by 7.4. In comparative experiments, it is found that the mAP of the method proposed in this paper is 12.3 higher than YOLOv3 and 6.7 higher than Faster R-CNN.

Objective. To explore the effect of enhanced recovery after surgery (ERAS) combined with comfortable nursing on the quality of life and complications of elderly patients with femoral neck fracture (FNF). Methods. From May 2019 to May 2020, 80 senile FNF patients who admitted to our hospital were treated by total hip arthroplasty (THA). All patients were randomly divided upon admission into a control group (CG) with usual care and a study group (RG) with ERAS combined with comfort care of 40 patients each. The postoperative efficacy was assessed by Harris score of hip joint function, and the psychology was evaluated by self-rating anxiety scale (SAS). The SF-36 score of quality of life, the time of catheter removal, the time of getting out of bed, the hospital stays, the satisfaction of nursing, and the Barthel score of self-care ability were compared between the two groups before and after nursing, and the incidence of postoperative complications was also evaluated. Results. Compared with the CG, the SF-36 score of quality of life and Barthel score of self-care ability in the RG were dramatically higher, while the SAS score of anxiety was dramatically lower. Besides, the time of catheter removal, the time of getting out of bed, and the hospital stays in the RG were dramatically lower ( P P P

Bug reports are widely used by developers to fix bugs. Due to the lack of experience, reporters may submit numerous invalid bug reports. Manually determining valid bug reports is a laborious task. Automatically identifying valid bug reports can save time and effort for bug analysis. In this paper, we propose a deep learning-based approach to determine and explain valid bug reports using only textual information i.e., summaries and descriptions of bug reports. Convolutional neural network (CNN) is applied to capture their contextual and semantic features. Moreover, by analyzing the spatial structure of CNN, we backtrack the trained CNN model to get phrases that can explain valid bug reports determination. After inspecting the phrases manually, we summarize some valid bug report patterns. We evaluate our approach on five large-scale open-source projects containing a total of 540491 bug reports. On average, across the five projects, our approach achieves 0.85, 0.80, 0.69 and improves the state-of-the-art approach by 8.97%, 9.59%, 9.52% in terms of AUC, F1-score for valid bug reports, and F1-score for invalid bug reports, respectively. From the summarized patterns, we can find that determining valid bug reports is mainly due to three categories of patterns: Attachment, Environment, and Reproduce.

Terahertz imaging is new trend of space optical remote sensing detection field. However, the resolution of Terahertz imaging is limited by the manufacture level of the Terahertz detector. In this paper we present the image processing method based Terahertz oversampling system. The multi-frames of observing same region are collected by our Terahertz imaging system. The shift displacement between adjacent frames is sub-pixel on the horizontal and vertical direction. The multi-frames are filtered by the norm constraint and enhancement. The higher resolution grid is reconstructed after the staggered frames are achieved. It shows that background noise is constrained and target edge is more continuous by the proposed method. The evaluation index of image quality is raised, which means that proposed method is better than other conventional method. The detail information of processed image is enhanced. The proposed oversampling method is special for dim target and background clutter data such as terahertz and infrared image, combining with the p2 norm optimization and bilateral filtering.

Background: Odanacatib, a cathepsin K inhibitor, reduces bone resorption while maintaining bone formation. Previous work has shown that odanacatib increases bone mineral density in postmenopausal women with low bone mass. We aimed to investigate the efficacy and safety of odanacatib to reduce fracture risk in postmenopausal women with osteoporosis. Methods: The Long-term Odanacatib Fracture Trial (LOFT) was a multicentre, randomised, double-blind, placebo-controlled, event-driven study at 388 outpatient clinics in 40 countries. Eligible participants were women aged at least 65 years who were postmenopausal for 5 years or more, with a femoral neck or total hip bone mineral density T-score between −2·5 and −4·0 if no previous radiographic vertebral fracture, or between −1·5 and −4·0 with a previous vertebral fracture. Women with a previous hip fracture, more than one vertebral fracture, or a T-score of less than −4·0 at the total hip or femoral neck were not eligible unless they were unable or unwilling to use approved osteoporosis treatment. Participants were randomly assigned (1:1) to either oral odanacatib (50 mg once per week) or matching placebo. Randomisation was done using an interactive voice recognition system after stratification for previous radiographic vertebral fracture, and treatment was masked to study participants, investigators and their staff, and sponsor personnel. If the study completed before 5 years of double-blind treatment, consenting participants could enrol in a double-blind extension study (LOFT Extension), continuing their original treatment assignment for up to 5 years from randomisation. Primary endpoints were incidence of vertebral fractures as assessed using radiographs collected at baseline, 6 and 12 months, yearly, and at final study visit in participants for whom evaluable radiograph images were available at baseline and at least one other timepoint, and hip and non-vertebral fractures adjudicated as being a result of osteoporosis as assessed by clinical history and radiograph. Safety was assessed in participants who received at least one dose of study drug. The adjudicated cardiovascular safety endpoints were a composite of cardiovascular death, myocardial infarction, or stroke, and new-onset atrial fibrillation or flutter. Individual cardiovascular endpoints and death were also assessed. LOFT and LOFT Extension are registered with ClinicalTrials.gov (number NCT00529373) and the European Clinical Trials Database (EudraCT number 2007-002693-66). Findings: Between Sept 14, 2007, and Nov 17, 2009, we randomly assigned 16 071 evaluable patients to treatment: 8043 to odanacatib and 8028 to placebo. After a median follow-up of 36·5 months (IQR 34·43–40·15) 4297 women assigned to odanacatib and 3960 assigned to placebo enrolled in LOFT Extension (total median follow-up 47·6 months, IQR 35·45–60·06). In LOFT, cumulative incidence of primary outcomes for odanacatib versus placebo were: radiographic vertebral fractures 3·7% (251/6770) versus 7·8% (542/6910), hazard ratio (HR) 0·46, 95% CI 0·40–0·53; hip fractures 0·8% (65/8043) versus 1·6% (125/8028), 0·53, 0·39–0·71; non-vertebral fractures 5·1% (412/8043) versus 6·7% (541/8028), 0·77, 0·68–0·87; all p

For delayed dental implantation into the mandible, the implant size should be chosen according to the characteristics of that bone. This study investigated anatomic features of the mandible in beagle dogs, to develop recommendations regarding the correct implantation region and available bone area for delayed dental implantation surgery. We used 20 healthy male beagle dogs to create delayed dental implantation models. The dogs' mandibles underwent cone beam CT (CBCT) imaging; the locations of the middle mental foramen and canine root apex were measured on CBCT images. The dogs then were euthanized and their mandibles measured by using a digital vernier caliper. In addition, the correct implantation region and available bone areas were evaluated. The data obtained by using the 2 measuring methods were compared statistically. The results showed that the positions of the middle mental foramen and canine root apex were relatively fixed, with little variation. The implantation and available bone regions showed little variation among dogs and did not differ significantly between the 2 measuring methods. In conclusion, the correct implantation region (mean ± 1 SD) in the beagle mandible for delayed dental implantation surgery was 17.53 ± 0.46 mm in width. The recommended available bone areas (height × width) were 7.22 ± 0.68 mm × 5.32 ± 0.49 mm (P2), 8.21 ± 0.71 mm × 5.81 ± 0.56 mm (P3), and 9.17 ± 0.65 mm × 6.39 ± 0.56 mm (P4) in the premolar region.

In the future, the spatiotemporal distribution of a high proportion of renewable energy will bring unprecedented challenges to power system, and the basic form and operation of power system will have great changes. On the basis of investigating the research status in China and abroad, this paper expounds the scientific problems faced by the planning of Power Systems with High Proportion of Renewable Energy (PSHPRE) considering the coordination of source-grid, and put forward the basic ideas and framework of research from four aspects: overview of the development of PSHPRE, power planning in PSHPRE and coordinated planning of source-grid in PSHPRE. Finally, the prospects for Power Systems with High Proportion of Renewable Energy considering the coordination of source-grid are presented.

The call for innovative talents in the information age is imminent. With the promulgation of the domestic high school information technology curriculum standards in 2017, the formulation and positioning requirements of the core literacy of the disciplines, computational thinking as one of the four core literacy, is the thinking ability that everyone should have. Many foreign educational practice studies have shown that mind mapping can effectively promote students’ cognitive development and knowledge construction. However, the domestic educational application research is relatively lacking in this aspect, and there is little research on the comprehensive and in-depth combination of it and the core literacy “computational thinking” of the specific information technology discipline. To this end, based on the research status at home and abroad, this paper attempts to use the concept map tool to represent several important functions of computational thinking, "definition of problems", "abstract function", "build model" and "Debugging and improvement". The diagram incorporates the teaching model in the computational thinking development curriculum. This study used quasi-experimental research methods to explore the effect of conceptual map tools on students’ computational thinking. The research results show that this teaching method has a significant effect on the development of students’ computational thinking.

Visual-based odometry is a robust technique utilized for mobile robot localization. This paper presents an adaptive RGB-D visual odometry based on the fusion of the direct methods and the feature-based methods. First, scene detection is performed to detect texture features. Then, based on the results of the scene feature evaluation function, the fusion algorithm can select the most appropriate visual odometry algorithm for motion estimation. In this paper, the details of the algorithm are discussed. In particular, the implementation of the scene feature evaluation function is described in detail. We evaluate our system on publicly benchmark to show our system has higher accuracy and better robustness.

We report 12 cases of patients with type 2 diabetic receiving recombinant human insulin injection, who had uncontrolled hyperglycemia or frequent episodes of hypoglycemia, high levels of serum insulin and positive insulin antibodies. The clinical characteristics and insulin antibodies pharmacokinetics parameters were analyzed. After administration of glucocorticoids, changing insulin formulations or discontinuing the insulin and switching to oral antidiabetic agents, the level of insulin antibodies decreased and the plasma glucose restored. Thus, we recommend to identify the presence of high insulin antibodies in patients with type 2 diabetes who experience unexplained high plasma glucose or frequent reoccurrence of hypoglycemia.

Numerous cases of pneumonia from a novel coronavirus (SARS-CoV-2) emerged in Wuhan, China during December 2019.We determined the correlations of patient parameters with disease severity in patients with COVID-19.A total of 132 patients from Wuhan Fourth Hospital who had COVID-19 from February 1 to February 29 in 2020 were retrospectively analyzed.Ninety patients had mild disease, 32 had severe disease, and 10 had critical disease. The severe/critical group was older (P 

The purpose of this meta-analysis was to investigate the serum CA72-4 as a biomarker in the diagnosis of colorectal cancer by pooling the open published data. Methods. An electronic search of databases Pubmed, Medline, Web of Science, Cochrane Embase CBM, and CNKI were performed by two reviewers (Han Yanqing, Dong Cheng) independently to identify the studies relevant to serum CA72-4 as a biomarker in the diagnosis of colorectal cancer. The patient number of true positive(tp), false positive(fp), false negative(fn) and true negative(tn) were extracted from each included study. The diagnostic performance of serum CA72-4 as a biomarker in the diagnosis of colorectal cancer was assessed by pooled sensitivity, specificity and hierarchical summary receiver operating characteristic curve (HSROC). All the data was pooled by MetaDiSc 1.4 and Stata/SE 11.0 statistical software. Results A total of 22 studies with 2474 colorectal patients and 1576 controls were included in the present study and meta-analysis. The combined diagnostic sensitivity and specificity were 0.50 (95%CI:0.48-0.52) and 0.86 (95%CI:0.84-0.88) for serum CA72-4 as a biomarker in the diagnosis of colorectal cancer. The pooled positive and negative likelihood ratio were 3.41(95%CI:2.57-4.53) and 0.62(0.55-0.71). The pooled area under the ROC curve (AUC) was 0.73. Deeks’funnel plot and Egger’s line regression test (p=0.49) showed no significant publication bias in the present meta-analysis. Conclusion Due toits low diagnostic sensitivity, the diagnostic performance of serum CA72-4 as a biomarker for colorectal cancer screening is limited.

Bacterial communities in fermentative high-temperature Daqu play an important role in the Chinese roasted sesame-like flavour liquor brewing process. A culture-independent method of 16S rDNA clone library was applied to investigate the changes in bacterial diversity during the process of a Daqu fermentation. The results indicated that the types of bacteria species gradually increased with prolonged fermentation time. The first dominant bacterium, Pantoea sp. (73.68%), in the raw material was only detected at the beginning of the fermentation stage (8 days) in small quantities. The second dominant bacterium, Weissella sp. (16.99%) and the third, Lactobacillus sp. (4.57%), were both detected in the beginning fermentation sample (3.22, 11.29%), in the ripening fermentation sample (24 days; 6.89, 25.11%) and in the drying stage (49 days; 3.74, 7.47%). In the beginning fermentation, Thermoactinomyces sp. (47.57%) was detected as the first predominant bacterium, and it was also detected in the ripening fermentation stage (4.93%) and in the drying stage (15.68%). The bacterial communities in the Daqu fermentation process affected the physicochemical index of Daqu. A molecular analysis of the bacterial community from the Daqu fermentation process will benefit studies on the aroma production mechanisms from these bacteria. Copyright © 2015 The Institute of Brewing & Distilling

Understanding long-term trends in injury morbidity is critical to prevention and intervention planning. The aim of this study was to assess long-term trends in injury morbidity rates in China from 1993 to 2013. Using data from the National Health Service Survey (NHSS), which is conducted every five years, crude and age-standardized prevalence during the previous two weeks and hospitalization rates in the last 12 months with 95% confidence intervals (CI) were calculated. The Rao-Scott Chi-square test examined injury morbidity differences across the five survey years by location (urban/rural), sex, age group, and household income. Percent changes in morbidity rate were approximated using logistic regressions. Sampling weights were applied to all analyses. In 2013, crude two-week injury prevalence in China was 0.46% (95% CI: 0.40%, 0.52%) and 12-month crude hospitalization rate was 0.70% (95% CI: 0.63%, 0.77%). Age-standardized injury prevalence increased 31.4% (95% CI: 7.6%, 60.6%) between 1993 and 2013 (29.4%, 95% CI: 6.7%, 56.9% from 1993-2003; 1.6%, 95% CI: -14.8%, 21.0% from 2003-2013), and age-standardized hospitalization rates rose 107.2% (95% CI: 75.1%, 145.2%) from 1993 to 2013 (-9.5%, 95% CI: -24.6%, 8.6% from 1993-2003 and 129.0%, 95% CI: 93.9%, 170.4% from 2003-2013). Subgroup analyses showed similar trends over time. The leading cause of injury was dislocation, sprain or strain for prevalence, and fractures for hospitalization. In conclusion, injury morbidity increased substantially from 1993 to 2013 in China. Inconsistent changes in two-week prevalence and 12-month hospitalization rate merit attention from researchers and policy-makers.

Using basic physical arguments, we present a design and method for the fabrication of a pneumatic micro PDMS actuator using multilayer soft lithography based on dry-film photoresist. Its novel structure consists of a three-way electromagnetic microvalve for gas flow control which is connected with gas inlet microchannel for the actuator. Then the whole system is considered as a throttle blind capacitor (TBC) model and it is used to predict the response time of the pneumatic actuator by correlating its characteristics such as gas pressurizing, air resistance and membrane deformation. For this micro actuator, upward deformation motions of actuated area are observed of actuated area under 100KPa (N2) pressure and the fast open response (~ 15 ms) was achieved at 50KPa pressure. Our method provides a simple, cheap and save-time pneumatic micro actuator which can be used in active functions, such as valves, pumps and mixers integrated on pneumatic microfluidic chips for downsizing the driving pressure and improving the whole efficiency of microchips.

The problem of OLED current decrease with threshold voltage( Vth) shift of a-IGZO TFTs still remains to be solved. In this paper,we continued to investigate the compensation effect for Vth shift in AMOLED pixel circuits based on a-IGZO TFTs. With the device models extracted from the experimental data on a-IGZO TFTs prepared in our lab,two kinds of pixel circuits,i. e 2T1 C and4T1C were comparatively studied. The results show that 4T1 C pixel circuit has excellent compensation effect for bias-stress instability,and the increasing storage capacitor and W /L of driving TFTs might lead to better holding capacity of this circuit.

With the increasing development of society and the economy, the concept of green construction gradually attracts the much attention, and has been more widely used. In the green construction process, materials and energy-saving is a very important aspect. The rapid development in information technology today, information technology in all walks of life have been fully applied. The digital technology has provided us with the opportunity of a construction design in a virtual environment. This paper first describes the concept of green construction, and then expounds the specific of technology on utilization of green construction material-saving and material resources,through combining with specific examples, expounds the specific benefits of green construction.

In this paper, a modified Michelson interferometer is designed to measure Terahertz spectrum. Compared with normal Michelson interferometer, hollow retroreflectors are used instead of flat mirrors as reflective mirrors. The theory analysis and some measurement are given.

At present, with the continuous increase of the nautical navigation density and the number of large size & specialization of the dangerous cargo vessels, the potential risk of oil spill accident from ships has been growing. On this background, this paper analyses three major factors affecting the risk assessment of ship oil spilling; then uses the gray theory to establish multi-level gray evaluation model and calculates the gray evaluation coefficient, weight vector and weight matrix; at last, the paper gives a comprehensive evaluation and makes example verification according to the calculation result. The result shows that this model has the characteristics of simple in calculation, clear in level and credible in the result.

The safety performance of Electric Vehicle (EV) charging equipments during the charging process will be the critical factor to the development of EVs Industry. Because of the high investment costs and the low accuracy of temperature-rise test system for EV charging coupler, a new remote test system including virtual instrument LabVIEW technology and communication transformation technology is applied to practical work. One temperature-rise test system designed for EV charging coupler is shown in this paper. With the advantages of LabVIEW as graphic programming and multithreading, real-time data acquisition, on-line monitoring and dynamic data preservation can be achieved by this temperature-rise test system. This test system simulates the change status of current data and makes a comprehensive research and evaluation temperature-rise characteristics of the charging coupler by analyzing the collected parameters and historical data when charging for EV.

With the development of the global economy, national exchange frequently between navigational skills improve more and more attention. Radar, ARPA has identified the ship's capabilities, but because of their limitations were unable to adapt to the needs of modern maritime security. As digital communications technology, the rapid development of computer and network information technology, development of AIS Technology Foundation has been set up. Navigational aids in the shipping industry have become increasingly demanding of circumstances, marine automatic identification system (AIS) came into being. This article examines the AIS system architecture based on wireless local area network, building a wireless local area network.

The Battery Management System (BMS) is provided to manage battery packs and interface with other systems which require information of charging state. It designed and developed a simulated system of BMS which can communicate with the Electric Vehicle (EV) off-board charger via the SAE J1939 protocol. The system could build different battery models based on corresponding electrical parameters such as battery type, charging mode, nominal voltage, etc. It was applied in the protocol conformance testing through which to verify whether the design of off-board charger was conform to protocol specifications. The results show that the system runs well and reliable, greatly improves the development and test efficiency of off-board charger.

Construction project management is a method system that takes whole process and all-around control and management of the construction project engineer. The characteristics of both the common project management mode and the new innovation mode are discussed in this passage. Put forward construction project and responsibility system management mode after having discussed how to innovation building project management mode.

The color performance properties of brown naturally color cotton fabric was investigated in the elevated temperature home laundering, usually the Europe style laundering. The first laundering cycle would give naturally color cotton(NCC) fabric the most of color changes. The laundering did render NCC fabric darkening effect, and significant and proceeding color changes. The higher laundering temperature resulted in more color changes of the fabric. At least 0.5 class gray scale rating was increased for about per 30°C laundering temperature increase. The data reported here indicated that lower temperture home laundering benefit the color retentation and the care of the NCC fabric.

Iron ore sintering is a complex and hysteresis process, so the prediction of the iron ore sintering character is very necessary. By using stepwise regression analysis, this paper confirms the main factors that influence moisture content, fuel ratio, sintering speed and the sintering drum strength. By using BP artificial neural network, we construct the prediction model against the four characters mentioned afore, and prediction accuracy are 96.67%, 93.33%, 86.67% and 93.33% respectively. The model result used in sintering pot test, the experimental results show that the mix moisture and fuel ratio are optimized, and the sinter drum strength is improved.

Spontaneous renal vein thrombosis (RVT) is very rare in the absence of nephrotic syndrome. It is more common in newborns and infants. RVT should always be included in the differential diagnosis of flank pain and hematuria, and because RVT can induce acute renal injury. A 19-year-old man was admitted to our hospital because he complained of right flank pain and oliguria for 3 days. Another patient, a 24-year-old man, complained of a severe and sudden onset of bilateral flank pain and anuria for a day. They were both healthy before they developed the described symptoms and had different levels of decrease in renal function when they visited the hospital. Color Doppler ultrasonography revealed RVT in both the patients. The patients received therapy, including anticoagulation and thrombolysis, following their diagnoses, and they recovered in a few days.

The coupled 3D Dynamic Mechanical/Fluid is performed for the Nuozhadu earth and rock-filled dam by FLAC3D, but literature on the fully coupled of fluid-solid under earthquake is not too much. This paper gives a good example of applying FLAC3D to do the fully coupled simulation, and after a system in mechanical and fluid is got, the dynamic simulation can be done. A more accurate estimation of pore water pressure and the distribution of acceleration and irrecoverable displacement of the dam under dynamic are obtained. The result shows that permanent displacement would occur in the potential slide mass of the slope under earthquake. Finally the method to improve the slope stability is suggested. The results provide important references to the design.

In order to ease the contradiction between the more and more need with each passing day of seafarers in the talented-person service market and delayed high-ranked seafarers being well-trained, and meanwhile, to provide the vast graduates one more opportunity to get a job who had not accepted relevant marine training and education, a new vocational education mode, which is high-rank seafarer vocational education training for non-marine major graduates, was proposed by Maritime Safety Administration of China. This paper will fully describe and comprehensively analyse this new vocational education mode， combining the characteristics of college graduates with non-marine education and training， The differences and similarities in aspect of educational background，age and English level, etc between non-marine major graduates and marine major graduates will be analysed and the concrete high rank seafarer vocational education mode for non-marine major graduates was proposed in this paper.

With the rapid decrease in cost of genome sequencing, the classification of gene function is becoming a primary problem. Such classification has been performed by human curators who read biological literature to extract evidence. BeeSpace Navigator is a prototype software for exploratory analysis of gene function using biological literature. The software supports an automatic analogue of the curator process to extract functions, with a simple interface intended for all biologists. Since extraction is done on selected collections that are semantically indexed into conceptual spaces, the curation can be task specific. Biological literature containing references to gene lists from expression experiments can be analyzed to extract concepts that are computational equivalents of a classification such as Gene Ontology, yielding discriminating concepts that differentiate gene mentions from other mentions. The functions of individual genes can be summarized from sentences in biological literature, to produce results resembling a model organism database entry that is automatically computed. Statistical frequency analysis based on literature phrase extraction generates offline semantic indexes to support these gene function services. The website with BeeSpace Navigator is free and open to all; there is no login requirement at www.beespace.illinois.edu for version 4. Materials from the 2010 BeeSpace Software Training Workshop are available at www.beespace.illinois.edu/bstwmaterials.php.

A group of growth factors have been shown to play important roles in amelioration of the malfunction of the neurodegenerative diseases. However, the proteins or polypeptides passing across the blood-brain barrier (BBB) to access the brain parenchyma are relatively few so that it hinders the therapies in clinic. Here a genetically reconstructed fusion peptide of human epidermal growth factor (hEGF) with an undecapeptide YGRKKRRQRRR (P11) was used to investigate the permeability between the cell membrane and the BBB via rectal administration. The efficiency to rescue the Aβ 22-35-induced dementia in mice was assessed after administration of P11-hEGF per rectal. Our results showed that P11-hEGF permeates across not only the 3T3 cell membrane in vitro, but also the endothelia of vessels after intravenous injection (IV), and the mucosa of the rectum after per rectal administration. Further results showed that the circulating P11-hEGF allowed penetrating through the blood-brain barrier and then getting into the brain manifesting biological responses. In the animal experiments, treatment with P11-hEGF not only ameliorated the dementia induced by Aβ 22-35 but also rescued the dementia of the aged mice, no matter how it was administrated (IV or per rectal). These results suggest that the rectal non-invasive delivery of the P11 polypeptide-conjugated growth factor is an efficient way for BBB transduction, thus raises the hope of real therapeutic progress against neurodegenerative diseases.

In order to determine the projected coordinate origin in the cone-beam CT scanning system with respect to the Feldkamp-Davis-Kress (FDK) algorithm, we propose a simple yet feasible method to accurately measure the projected coordinate origin. This method was established on the basis of the theory that the projection of a spherical object in the cone-beam field is an ellipse. We first utilized image processing and the least square estimation method to get each major axis of the elliptical Digital Radiography (DR) projections of a group of spherical objects. Then we determined the intersection point of the group of major axis by solving an over-determined equation set that was composed by the major axis equations of all the elliptical projections. Based on the experimental results, this new method was proved to be easy to implement in practical scanning systems with high accuracy and anti-noise capability.

Text mining is one promising way of extracting information automatically from the vast biological literature. To maximize its potential, the knowledge encoded in the text should be translated to some semantic representation such as entities and relations, which could be analyzed by machines. But large-scale practical systems for this purpose are rare. We present BeeSpace question/answering (BSQA) system that performs integrated text mining for insect biology, covering diverse aspects from molecular interactions of genes to insect behavior. BSQA recognizes a number of entities and relations in Medline documents about the model insect, Drosophila melanogaster. For any text query, BSQA exploits entity annotation of retrieved documents to identify important concepts in different categories. By utilizing the extracted relations, BSQA is also able to answer many biologically motivated questions, from simple ones such as, which anatomical part is a gene expressed in, to more complex ones involving multiple types of relations. BSQA is freely available at http://www.beespace.uiuc.edu/QuestionAnswer.

Based on the femtosecond accelerator device which was built at the Shanghai Institute of Applied Physics (SINAP), recently a modified far infrared Michelson interferometer has been developed to measure the length of electron bunches via the optical autocorrelation method. Compared with our former normal Michelson interferometer, we use a hollow retroreflector instead of a flat mirror as the reflective mirror. The experimental setup and results of the bunch length measurement will be described in this paper.

In order to assimilate and redesign the existing product, a conceptual design driven by function is proposed. Firstly, the behaviors, structures and functions of the product are analyzed in detail. Then bond graph models are used to describe the behaviors which indicate the dynamic performances of the existing product. Secondly, the advantages and disadvantages of the product can be revealed through these dynamic performances which are abstracted by simulating the bond graph models. To catch the intention of the original design, the simulation results are analyzed regarding the system dynamic performances. According to the evolutional routes, several redesign results are obtained by grouping some optimized alternatives. Finally, applying the method to a frictional driver redesign, the control and dynamic performances are both improved, which verifies the validity and practicability of the proposed design method.

Based on the femtosecond accelerator device, we are planning to build a broad band and tunable THz source using the Smith-Purcell radiation mechanism. Coherent Smith-Purcell radiation could be achieved owing to the super-short bunch produced in the device. To shorten the distance between the beam and grating, we use Transport to match the beta function producing a sheet beam on the grating surface. The optimization of grating length, groove depth and groove width are given in the paper. Then the radiation power for the shallow and deep grating using these parameters are presented. The detection devices and methods are also briefly discussed.

Alzheimer's disease is a progressive brain disorder with the loss of memory and other intellectual abilities. Amyloid species and neurofibrillary tangles are the prime suspects in damaging and killing nerve cells. Abnormal accumulation of Amyloid-beta peptide (Abeta) may cause synaptic dysfunction and degeneration of neurons. Drugs that can prevent its formation and accumulation or stimulate its clearance might ultimately be of therapeutic benefit. Ciliary neurotrophic factor (CNTF), a neurotrophic cytokine, promotes the survival of various neurons in brain. However, the blood-brain barrier hinders the systemic delivery of CNTF to brain. Recently the 11-amino acid of protein transduction domain TAT has successfully assisted the delivery of many macromolecules to treat preclinical models of human disease. The present study aimed to evaluate whether P11-CNTF fusion protein (P11-CNTF) is protective against the Abeta25-35-induced dementia in mice. Immunofluorescence experiments showed that P11 effectively carried CNTF to the SH-SY5Y cells in vitro, and to the brains of mice in vivo. The learning and memory impairments of mice induced by Abeta were substantially rescued by supplement with the P11-CNTF. Furthermore, mRNAs of enzymes involved in the Abeta metabolism, e.g. neprilysin (NEP), endothelin-converting enzyme 1 (ECE-1) and insulin degrading enzyme (IDE), increased in the P11-CNTF treated dementia mice, accompanied by the proliferation of nestin- and choline acetyltransferase (ChAT)-positive cells in hippocampus. It implies that the delivery of P11-CNTF may be a novel treatment for Alzheimer's disease.