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Regional business environment is the core institutional environment of protecting the vitality of the main market and pushing forward high-quality economic development. The central-local financial relation division is of great significance for arousing the initiative of the central and local governments, regulating the structure of government functions, and the relation of the government and the market. This paper studies influence of the groups resulting from the integration of six key elements of the central-local financial relations on the business environment using fsQCA (fuzzy-set qualitative comparative analysis) method. Our main findings show that there are five patterns of groupings causing the high business environment. The groups of low business environments are characterized by low financial autonomy and partial or total absence of financial and administrative powers. This paper also explores the feasibility of QCA method for research in the field of finance and taxation. Moreover, it shows that the matching of the financial and administrative powers, and a higher degree of financial autonomy, is the key factor to create a high-level business environment. The study provides a theoretical basis of further reform and reconstruction of China’s financial system.

Objectives: Baise, a multiethnic inhabited area of southwestern China, is a historical malaria-endemic area with a high prevalence of G6PD deficiency. However, few studies of G6PD deficiency have been conducted in this region. Therefore, we performed a genetic analysis of G6PD deficiency in the Baise population from January 2020 to June 2021.Methods: A SNPscan assay was developed to simultaneously detect 33 common Chinese G6PD mutations. 30 G6PD-deficient samples were used for the method’s validation. Then, a total of 709 suspected G6PD-deficient samples collated from the Baise population were evaluated for G6PD status, type of mutation and effect of mutations.Results: The SNPscan test had a sensitivity of 100% [95% confidence interval (CI): 94.87%–100%] and a specificity of 100% (95% CI: 87.66%–100%) for identifying G6PD mutations. A total of fifteen mutations were identified from 76.72% (544/709) of the samples. The most common mutation was discovered to be G6PD Kaiping (24.12%), followed by G6PD Canton (17.91%), and G6PD Gaohe (11.28%). We compared the G6PD mutation spectrum among Zhuang, Han and other Southeast Asian populations, and the Zhuang population’s mutation distribution was quite similar to that in the Han population.Conclusion: This study provided a detailed G6PD mutation spectrum in Baise of southwestern China and will be valuable for the diagnosis and research of G6PD deficiency in this area. Furthermore, the SNPscan assay could be used to quickly diagnose these G6PD mutations accurately.

Gastric cancer is the third leading cause of cancer-related mortality worldwide, but no guideline-recommended screening test exists. Existing methods can be invasive, expensive, and lack sensitivity to identify early-stage gastric cancer. In this study, we explore the feasibility of using a deep learning approach on non-contrast CT scans for gastric cancer detection. We propose a novel cluster-induced Mask Transformer that jointly segments the tumor and classifies abnormality in a multi-task manner. Our model incorporates learnable clusters that encode the texture and shape prototypes of gastric cancer, utilizing self- and cross-attention to interact with convolutional features. In our experiments, the proposed method achieves a sensitivity of 85.0% and specificity of 92.6% for detecting gastric tumors on a hold-out test set consisting of 100 patients with cancer and 148 normal. In comparison, two radiologists have an average sensitivity of 73.5% and specificity of 84.3%. We also obtain a specificity of 97.7% on an external test set with 903 normal cases. Our approach performs comparably to established state-of-the-art gastric cancer screening tools like blood testing and endoscopy, while also being more sensitive in detecting early-stage cancer. This demonstrates the potential of our approach as a novel, non-invasive, low-cost, and accurate method for opportunistic gastric cancer screening., Comment: MICCAI 2023

The task of visual dialog requires a multimodal chatbot to answer sequential questions from humans about image content. Prior work performs the standard likelihood training for answer generation on the positive instances (involving correct answers). However, the likelihood objective often leads to frequent and dull outputs and fails to exploit the useful knowledge from negative instances (involving incorrect answers). In this paper, we propose a Unified Multimodal Model with UnLikelihood Training, named UniMM-UL, to tackle this problem. First, to improve visual dialog understanding and generation by multi-task learning, our model extends ViLBERT from only supporting answer discrimination to holding both answer discrimination and answer generation seamlessly by different attention masks. Specifically, in order to make the original discriminative model compatible with answer generation, we design novel generative attention masks to implement the autoregressive Masked Language Modeling (autoregressive MLM) task. And to attenuate the adverse effects of the likelihood objective, we exploit unlikelihood training on negative instances to make the model less likely to generate incorrect answers. Then, to utilize dense annotations, we adopt different fine-tuning methods for both generating and discriminating answers, rather than just for discriminating answers as in the prior work. Finally, on the VisDial dataset, our model achieves the best generative results (69.23 NDCG score). And our model also yields comparable discriminative results with the state-of-the-art in both single-model and ensemble settings (75.92 and 76.17 NDCG scores)., Comment: Accepted by the 30th ACM International Conference on Multimedia (ACM MM 2022)

The bucket shape of a hydraulic excavator influences its excavating performance and is determined by its shape line. In this study, the inner surface line projected on the symmetrical plane of the bucket was adopted as the bucket shape line, and the value ranges of the main parameters for the shape line were investigated. By considering the centre of the arc at the bucket bottom as the origin, the Cartesian coordinate system was established, and the integrated equation of the bucket line was derived based on the geometric constraints related to the shape line. A general optimisation model of the bucket line was established using the integrated equation. The effects of four design variables on the optimisation goal were determined using the bucket of a 21 T excavator as an example, and the optimal shape line of the bucket was obtained using a genetic algorithm. The results indicated that the cutting angle decreased by 9.92 % in comparison with that before optimisation, which was beneficial in decreasing the digging resistance. Additionally, the aspect ratio decreased by 5.75 %, thereby reducing the bucket weight. Thus, the integrated expression and the optimisation of shape lines provide a general method and theoretical basis for optimising the bucket shape.

ObjectiveTo systematically evaluate the safety and efficacy of high-intensity interval training in children and adolescents.DesignSystematic Review and Meta-AnalysisMethodsEight databases were searched. Descriptive analysis of the efficacy and safety of high-intensity interval training on body shape, cardiorespiratory fitness, and metabolic risk markers for cardiovascular disease between children and adolescents. Subgroup analysis was performed with age, participants, intervention time, and exercise frequency as covariates.Results47 studies included 2995 children and adolescents. Meta-analysis results showed that high-intensity interval training significantly improved cardiorespiratory fitness indicators (VO2max, SBP, DBP and HRmax) and cardiovascular disease metabolic risk indicators (TC, HDL-C). HIIT had no significant effect on body shape indicators (BMI, BF% and WC) and some cardiometabolic indicators (TG and LDL-C).ConclusionCurrent evidence shows insufficient evidence that high-intensity interval training with intermittent running as the main form of exercise improves body shape indicators in children and adolescents. Nevertheless, it deserves to recommend for the purpose of improving cardiorespiratory fitness and reducing the metabolic risk of cardiovascular disease.

Background and aimsThe present study aimed to analyze the effects of factors on cystocele and the Green classification.Materials and methodsWe conducted a cross-sectional study on 357 primiparous women examined at our hospital from January 2019 to May 2021. The following data were recorded: maternal characteristics, neonatal characteristics, and factors of childbirth. It was added to the multivariate logistic regression model to determine the independent predictors of the cystocele and the Green classification.ResultsA total of 242 women had cystocele, including 71 women with Green type I cystocele, 134 women with Green type II cystocele, and 37 women with Green type III cystocele. In multivariate logistic regression analysis, body mass index (BMI) at delivery was associated with cystocele, while BMI at delivery and the second stage of labor (SSL) > 1 h were independently with the distance from the symphysis pubis to the bladder neck (SPBN) abnormal (P < 0.05). BMI at examination was associated with the large retrovesical angle (RVA) (P < 0.05). BMI at delivery and the fetal right occiput anterior position (ROA) were independently associated with the distance from the symphysis pubis to the posterior wall of the bladder (SPBP) abnormal (P < 0.05), while epidural anesthesia (EDA) was the protective factor (P < 0.05).ConclusionPrimipara women should strive to avoid exposure to modifiable risk factors such as controlling weight during pregnancy, reducing weight after delivery, and shortening SSL to reduce the occurrence of cystocele.

This paper selects firm downside risk and firm upside risk as proxy variables of enterprise risk, and the proportion of independent directors as a proxy variable of board governance. Using the panel data of Chinese listed companies from 2010 to 2019, a multiple linear regression model is established to empirically study the impact of supervisory function and advisory function of board governance on the downside risk and the upside risk, to test whether the two functions of the board of directors play a role in the enterprise risk management (ERM). The internal mechanism and boundary conditions of board governance that affect firm risk are also explored in this paper. It is found that the sample enterprises pay more attention to the board‘s supervisory function. At the same time, they reduce the firm’s overall risk by reducing the downside risk and the upside risk while performing this function. We also identify that boards are more likely to use meetings to communicate and strategize to prevent upside risks than to identify and control downside risks. Finally, boards are negatively affected by CEO duality in performing their oversight functions.

Supplemental material, sj-pdf-1-imr-10.1177_03000605221089795 for Application of metagenomic next-generation sequencing for bronchoalveolar lavage diagnostics in patients with lower respiratory tract infections by Dandan Zhang, Xue Yang, Junli Wang, Jian Xu and Mengyi Wang in Journal of International Medical Research

Supplemental material, sj-pdf-2-imr-10.1177_03000605221089795 for Application of metagenomic next-generation sequencing for bronchoalveolar lavage diagnostics in patients with lower respiratory tract infections by Dandan Zhang, Xue Yang, Junli Wang, Jian Xu and Mengyi Wang in Journal of International Medical Research

Yang F, Wei Y, Liao B, et al. Drug Des Devel Ther. 2018;12:3211–3219. The Editor and Publisher of Drug Design, Development and Therapy wish to retract the published article. Concerns were raised following the authors request to change western blot data in Figure 4D. The authors provided a replacement image for Figure 4D, however they failed to adequately explain why they wished to change the images. In addition, the authors could not provide the original data for the western blots shown in Figure 4D or for any of the other western blot images shown in Figures 2A and 3C. It was determined the findings reported in the article were unreliable and a retraction was requested. The authors were notified of this decision. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted.” This retraction relates to this paper

The digging resistance in a normal state is the key to excavator design and automated excavation. It is difficult to accurately predict, simulate, or directly measure the digging resistance in a normal state due to uncertainties in the soil properties and excavation parameters. In this paper, a research idea is proposed that uses the working device as the entry point to indirectly calculate the digging resistance in a normal state by measuring the motion parameters and the cylinder pressure intensity. Based on the rule of combination for spatial force systems, a method for combining and projecting the system of the digging resistance is proposed in which the system is projected as six parts, and the tangential force, normal force, and bending moment in the plane of symmetry of the working device are the objects of the solution to avoid redundant equations. Based on kinematics and dynamics models of the excavator and the force and moment equilibrium conditions of the working device, equations for the active-side calculation of the incomplete digging resistance are derived. Based on these equations, the motion parameters of the working device and data on the cylinder pressure intensity obtained by measurement are used to calculate the incomplete digging resistance. The validation scheme and process proposed use the incomplete digging resistance as the external load to obtain the simulated stress of the working device through transient analysis. The simulated stress and the measured stress corresponding to the position of the measurement point are extracted and compared. The results show that there is a difference in the size of the numerical value between the simulated and measured stress, but the variation law is highly consistent, which validates the calculation method. In this paper, an active-side calculation method is provided for the incomplete digging resistance in a normal state without considering the soil-tool interaction relationships, which lays a theoretical foundation for the study of the digging resistance characteristics in a normal state, as well as excavator design and automated excavation.

This study designs and optimizes a high-loaded transonic fan stage using a curvature control method. A fan stage with a total pressure ratio of 2.49 and adiabatic efficiency of over 87 % at the design point is obtained after 3D optimizations. The geometric curvature of the blade passage has important driving and adjusting effects on the mainstream and on the flow in the boundary layer. The reasonable optimization of camber line curvature can weaken the radial secondary flow on the blade surface and decrease shock losses effectively. It can also postpone or suppress boundary layer separation by reorganizing aerodynamic load. Hence, secondary flow losses are reduced, and the overall stall margin is expanded. This method features high precision, high operability, and short design cycle, hence providing highloaded fans/compressors with new freedom to improve design ability and offering new possibility to design system development.

Bisphenol A (BPA) is one of the ubiquitous environmental endocrine disruptors (EEDs). Previous studies have shown that the reproduction toxicity of BPA could cause severe effects on the mammal oocytes and disturb the quality of mature oocytes. However, the toxic effects of BPA on the organelles of mouse oocytes have not been reported. In this study, to investigate whether BPA can be toxic to the organelles, we used different concentrations of BPA (50, 100, and 200 μM) to culture mouse oocytes in vitro. The results showed that 100 μM BPA exposure could significantly decrease the developmental capacity of oocytes. Then, we used the immunofluorescence staining, confocal microscopy, and western blotting to investigate the toxic effects of BPA on the organelles. The results revealed that mitochondrial dysfunction is manifested by abnormal distribution and decreased mitochondrial membrane potential. Moreover, the endoplasmic reticulum (ER) is abnormally distributed which is accompanied by ER stress showing increased expression of GRP78. For the Golgi apparatus, BPA-exposed dose not disorder the Golgi apparatus distribution but caused abnormal structure of Golgi apparatus, which is manifested by the decrease of GM130 protein expression. Moreover, we also found that BPA-exposed led to the damage of lysosome, which were shown by the increase of LAMP2 protein expression. Collectively, our findings demonstrated that the exposure of BPA could damage the normal function of the organelles, which may explain the reduced maturation quality of oocytes.

This paper presents a novel open-domain dialogue generation model emphasizing the differentiation of speakers in multi-turn conversations. Differing from prior work that solely relies on the content of conversation history to generate a response, we argue that capturing relative social relations among utterances (i.e., generated by either the same speaker or different persons) benefits the machine capturing fine-grained context information from a conversation history to improve context coherence in the generated response. Given that, we propose a speaker-aware Parallel Hierarchical Attentive Encoder-Decoder (PHAED) model that aims to model each utterance with the awareness of its speaker and contextual associations with the same speaker's previous messages. Specifically, in a conversation involving two speakers, we regard the utterances from one speaker as responses and those from the other as queries. After understanding queries via our encoder with inner-query and inter-query encodings, our decoder reuses the hidden states of previously generated responses, instead of reconstructing these by the encoder, to generate a new response. Our empirical results show that PHAED outperforms the state-of-the-art in both automatic and human evaluations. Furthermore, our ablation study shows that dialogue models with speaker tokens can generally decrease the possibility of generating non-coherent responses regarding the conversation context.

Federated learning is a novel framework that enables resource-constrained edge devices to jointly learn a model, which solves the problem of data protection and data islands. However, standard federated learning is vulnerable to Byzantine attacks, which will cause the global model to be manipulated by the attacker or fail to converge. On non-iid data, the current methods are not effective in defensing against Byzantine attacks. In this paper, we propose a Byzantine-robust framework for federated learning via credibility assessment on non-iid data (BRCA). Credibility assessment is designed to detect Byzantine attacks by combing adaptive anomaly detection model and data verification. Specially, an adaptive mechanism is incorporated into the anomaly detection model for the training and prediction of the model. Simultaneously, a unified update algorithm is given to guarantee that the global model has a consistent direction. On non-iid data, our experiments demonstrate that the BRCA is more robust to Byzantine attacks compared with conventional methods.

Podophyllotoxin (PPT) is a kind of lignans extracted from the roots and stems of the genus Podophyllum from the tiller family, and it has been widely used in the treatment of condyloma acuminatum, multiple superficial epithelioma in the clinics. However, PPT has been reported to be toxic and can cause liver defects and other organ poisoning. In addition, emerging evidences also indicate that PPT has reproductive toxicity and causes female reproduction disorders. In this study, we used fertilized oocytes and tried to explore the effects of PPT on the early embryonic development with the mouse model. The results showed that exposure to PPT had negative effects on the cleavage of zygotes. Further analysis indicated that PPT could disrupt the organization of spindle and chromosome arrangement at the metaphase of first cleavage. We also found that PPT exposure to the zygotes induced excessive reactive oxygen species (ROS), suggesting the occurrence of oxidative stress. Moreover, in the PPT-exposed embryos, there was positive γH2A.X and Annexin-V signals, indicating that PPT induced embryonic DNA damage and early apoptosis. In conclusion, our results suggested that PPT could affect spindle formation and chromosome alignment during the first cleavage of mouse embryos, and its exposure induced DNA damage-mediated oxidative stress which eventually led to embryonic apoptosis, indicating the toxic effects of PPT on the early embryo development.

In this study, the in vitro assembly of tau and anti-amyloidogenic properties of one naturally occurring phytoestrogen, calycosin, was investigated by spectroscopic techniques including ThT and ANS fluorescence, CD, Congo red absorbance as well as TEM analysis. Afterwards the cytotoxicity of different amyloid species against SH-SY5Y cells was evaluated by MTT assay. Fluorescence spectroscopic studies revealed that calycosin exerts its anti-amyloidogenic effects through increasing the lag time and reducing the apparent growth rate constant (kapp), the amount of fibrillation, and the exposure of hydrophobic regions. Congo red absorbance and CD studies indicated that calycosin prevented the formation of tau aggregate species and β-sheets structures, respectively. TEM analysis also determined the capacity of calycosin to inhibit tau fibrillogenesis through formation of large amorphous aggregates. Furthermore, cellular assays disclosed that calycosin mitigated the cell mortality, LDH release, ROS level, and expression of Bax, Bcl-2, and Caspase-3 in both mRNA and protein levels induced by tau amyloid fibrils. In conclusion, this data may suggest that calycosin can prevent tau amyloid fibrillation and the associated cytotoxicity, mainly due to its effects on formation of lower content of oligomeric and fibrillar aggregates with lower solvent-exposed hydrophobic patches compared to those produced in the absence of calycosin.

Emerging consumer electronics such as flexible electronics and smart wearables have strong and growing demand for MEMS microphones with small size and high performance. For a capacitive MEMS microphone, however, it is challenging to achieve reduced size and improved acoustic performance at the same time due to a trade-off between the diameter and mechanical compliance of its vibrating membrane. In this work, a capacitive MEMS microphone with a low-stress polysilicon vibrating membrane was developed to breakthrough the tradeoff, which can achieve a signal-to-noise ratio (SNR) as high as 62.3 dBA. Its vibrating membrane has a thickness of only about 100 and a diameter of 600–800 m.

Low-stress silicon-based thin films play a crucial role in microelectromechanical systems (MEMS) such as silicon microphones. To obtain low stress, post annealing is usually applied and, in particular, the residual stress of hydrogenated amorphous silicon (α-Si:H) can be finely tuned by properly adjusting the annealing temperature to obtain slightly tensile thin films. However, blister defects are unfortunately observed in the course of stress control by high temperature annealing. We study structural parameters of thin films that may induce blistering behaviors and propose a statistical prediction model as a guide to avoid the blistering disaster for MEMS chips. By optimizing the shape, size, and thickness of thin films, the non-blister α-Si:H thin film with low stress of around 63 MPa is demonstrated.

BackgroundThere is growing evidence of the role of long non-coding RNAs (lncRNAs) in cervical cancer (CC). The objective was to discuss whether exosomal lncRNA HNF1A-AS1 impacted drug resistance in CC via binding to microRNA-34b (miR-34b) and regulating TUFT1 expression.MethodsThe expression of HNF1A-AS1 in normal cervical epithelial cells, cisplatin (DDP)-sensitive cell line (HeLa/S) and DDP-resistant cell line (HeLa/DDP) cells were detected. HeLa/S and HeLa/DDP cells were interfered with HNF1A-AS1 to determine IC50, proliferation, colony formation and apoptosis of CC cells. The exosomes were isolated and identified. Subcellular localization of HNF1A-AS1, expression of miR-34b and TUFT1 in receptor cells were also verified. The binding site between HNF1A-AS1 and miR-34b, together with miR-34b and TUFT1 were confirmed. Tumorigenic ability of cells in nude mice was also detected.ResultsHNF1A-AS1 was upregulated in DDP-resistant cell line HeLa/DDP. Silencing HNF1A-AS1 suppressed CC cell proliferation and promoted its apoptosis. HNF1A-AS1 was found to act as a competing endogenous RNA (ceRNA) of miR-34b to promote the expression of TUFT1. Exosomes shuttled HNF1A-AS1 promoted the proliferation and drug resistance of CC cells and inhibited their apoptosis by upregulating the expression of TUFT1 and downregulating miR-34b. Furthermore, suppressed exosomal HNF1A-AS1 in combination with DDP inhibited tumor growth in nude mice.ConclusionOur study provides evidence that CC-secreted exosomes carrying HNF1A-AS1 as a ceRNA of miR-34b to promote the expression of TUFT1, thereby promoting the DDP resistance in CC cells.

Emerging evidences were accumulated to support the view that GRP78 might be associated with multiple types of cancer. Given these, the aim of this study is to investigate the relationship between single nucleotide polymorphisms (SNPs) of GRP78 gene promoter and nasopharyngeal carcinoma (NPC). Three SNPs (rs3216733, rs17840761 and rs17840762) in GRR78 promoter were estimated in 422 NPC patients and 452 controls. Genotyping was performed using SNaPshot SNP. Serum GRP78 level was performed by enzyme-linked immunosorbent assay (ELISA). Data were analyzed by SPSS 17.0 software. Significant association between rs3216733 polymorphism and NPC was observed (Cd vs. dd: OR = 0.57, 95% CI 0.43–0.76, P

Tea is one of the most consumed beverages worldwide and the relatively high levels polyphenols is benefit for health. In this study, we developed an efficient system for proliferation of callus from ‘Anji Baicha’, a cultivar of tea (Camellia sinensis ). Callus tissue was initially induced by culturing leaf explants on medium containing different plant growth regulators. For callus induction, thidiazuron (TDZ) was more effective than 2,4-dichlorophenoxyacetic acid (2,4-D), α-naphthalene acetic acid (NAA), and N6-benzyladenine (BA). The frequency of callus induction from leaf explants reached 90.21% on 1.0 mg·L -1 TDZ and the developed callus was reddish and friable. We also tested the effect of different concentrations of NAA, 2,4-D, indole 3-acetic acid (IAA), BA, and TDZ, alone and in combinations, on callus proliferation. Medium supplemented with TDZ in combination with IAA was suitable for callus proliferation and accumulation of tea polyphenols. The growth index value and tea polyphenol content of callus cultured on MS medium containing 0.5 mg·L -1 TDZ and 1.0 mg·L -1 IAA was maximally 1,351% and 23.24%, respectively, and the relative abundance of epicatechin was as high as 17.449%. We also measured the antioxidant activity of all samples and the callus with the highest tea polyphenol content also exhibited high potential radical scavenging activity.

Objective The aim of this study is to investigate the effect of transfected hTERT gene on cell apoptosis of newborn rat cochlear basilar membrane cells (CBMCs). Methods CBMCs isolated from newborn rat cochlear were transfected using a plasmid containing human telomerase reverase transcriptase gene (pCI-neo-hTERT) , and were screened using G418 to obtain stable transfected cell lines. Cell apoptosis rate was analyzed by flow cytometry. hTERT and apoptosis related genes expression were detected by reverse transcriptase polymerase chain reaction (RT-PCR). Results hTERT gene expression was detected 72 after gene transfection in transfected cells. The apoptotic rate of transfected CBMCs significantly reduced. Expression of apoptosis related genes correspondingly changed. Conclusion Transfection of hTERT gene leads to reduced apoptosis rate in newborn rat CBMCs.and lower expression of apaf1, Caspase3 and BCL2 in transfected cells as compared to that of normal CBMCs.

Comparative study of biological characteristics between Alternaria alternata and Alternaria tabacina were carried out.The results showed that the optimal growth temperature for Alternaria alternata and Alternaria tabacina were 25?30 ℃ and 20?25 ℃ respectively;A.alternata grew better than A.tabacina at pH 6?9;glucose and sugar utilization of A.alternata was higher than that of A.tabacina;the same results were got for the use of acmonium nitrate,acmonium sulfate and casein by Alternaria alternata and Alternaria tabacina.Both organisms showed the highest utilization of casein,followed by acmonium nitrate and acmonium sulfate.There were significant differences in mycelia growth of Alternaria alternata and Alternaria tabacina on potato agar,glucose agar and sugar agar respectively,while no differences existed between that of Alternaria alternata and Alternaria tabacina on cornmeal agar.Iprodione and Mancozeb totally inhibited the growth of A.alternata and A.tabacina.No difference existed in the inhibitive effects of chlorothalonil or stroby on A.alternata and A.tabacina while Topsin-M showed better inhibition on the mycelia of A.tabacina than that of A.alternata.

Open-top chambers were used to investigate the mechanism of antioxidants to eliminate reactive oxygen species and the impacts on growth and development of plants under troposphere O3 stress. The results indicated that, compared to control, the O3 concentration of O3-1 (80±10nL·L-1) and O3-2 (110±10nL·L-1) induced an increase on malondialdehyde content, relative electrical conductivity and a decrease on super oxide anion production rate, hydrogen peroxide during the whole growth stage. Simultaneity, O3 stress resulted in lower content of ascorbic acid and glutathione, and higher content of dehydroascorbic acid and oxidized glutathione of AsA-GSH cycle. The results showed that antioxidant system can not tolerate oxidative damage caused by elevated O3 concentration, thus increasing membrane lipid per oxidation, which represents injured effects to soybean.

Wavelet-domain hidden Markov models have proven to be useful tools for statistical signal and image processing. The hidden Markov tree (HMT) model captures the key features of the joint probability density of the wavelet coefficients of laser speckle images. In this paper, considering both the characteristics of laser speckle images after log-transformed and the statistical features of wavelet transformed images, a multiscale image filtering algorithm, which based on two-state hidden markov model (HMM) and mixture Gaussian statistical model, has been used to decrease the Gaussian white noise in speckle images. By using EM (Expectation Maximization) algorithm to estimate noise coefficients in each scale and to obtain power spectrum matrix, then this carried through the synchronized two Filter that are IIR(infinite impulse response) Wiener Filter and HMM, according to scale size, and achieve the experiments as well as the comparison with other denoising methods were presented at last.

In the paper, we achieved the speckle image statistics restoration by computing the most likely state at each pixel based on hidden Markov models (HMM). Among the features of the proposed method, HMM takes the adaptive window size which allows us to obtain a better estimate of the local variance of the noise for different regions of the image. Therefore, the additive noise is removed more in the smooth regions while the edges are preserved in nonsmooth ones. Another feature of this method has to do with the proportionality of the execution time and the noise power. Meanwhile, the software and hardware of speckle measurement system are designed and realized in laser projection displaying based on LabVIEW flat. The performance of this soft algorithm indicated that the restored images have higher contrast and clearness which is attributed to nearly optimal usage of the statistical properties of the image by HMM.

For the detecting moving target, an Improved Viterbi Algorithm (IVA) is a useful technique for a Track Before Detect (TBD) architecture implementation, designed to track and detect dim maneuvering targets from an image sequence under low signal-to-noise ratio(SNR) conditions. It especially suits real passive millimeter wave (PMMW) as the objects radiant energy is very weak. The IVA does a search over all the possible state sequences, marking probable tracks by scanning each pixel in each frame, and determining where it was likely to originate from in the previous image. In this paper the real time calculation of detecting threshold and the IVA process is described. The experimental results show that the IVA performs well for dim PMMW image sequences at low SNR environment with complex background.

Under the condition of market economy, market competition has shown unprecedented pressure on agricultural producers with family as a production unit. Agricultural producers are at a relatively weak position. Agricultural production having the characteristics of small scale can hardly adapt to market competition effectively and agricultural production is facing a huge market risk. Therefore, farmers urgently need a wide range of public services. In March, 2007, the Ministry of Finance and Huazhong Normal University investigated a total of 1000 residents in 35 sample villages, belonging to 33 towns of Ningxia Hui Autonomous Region, China. Status of the supply of public services in rural areas is introduced from three aspects, which are backward service of public education, low level of public health service, and slow development of public cultural service. It is pointed out that the supply of rural public service is in serious shortage, and can hardly meet the practical needs of rural residents, rural development and agricultural production. Problems in rural public service are analyzed from the insufficient ability of government public service, the single supply subject of rural public service, and the lack of effective evaluation mechanism during the supply of public services. Finally, countermeasures for improving the supply of rural public service are put forward, such as strengthening the public service functions of governments at all levels, constructing a supply mechanism with diversified subjects, and establishing a farmer participation mechanism for rural public service supply, so that rural residents can enjoy the essential public services, develop rural economy, improve the living standards of rural residents, establish a sound social security system, ensure the smooth implementation of new countryside construction, and realize the coordinated socio-economic development between rural and urban areas.

With the rapid development of the increasing urban traffic demand, the road traffic congestion problems become serious matter. Traffic congestion not only increases the time of travel delay, but also wastes a lot of money. This paper introduces an urban traffic congestion dynamic predict method based on advanced fuzzy cluserting model. Moreover, the paper puts forward the warning measures based on above relative research results.Finally, the fuzzy cluster analysis methods are used to analyze 6 groups of the relevant parameters of traffic jams, classify and rank the traffic jams. The feasibility and effectiveness of that method which is presented in this paper are demonstrated by an example.

In this paper the traffic congestion recognition method is studied deeply based on the pattern recognition technology which is well integrates the fuzziness and randomness of linguistic concepts in a unified way, and makes the transforms between qualitative concepts and their quantitative expressions much easier and interchangeable. Moreover, the feasibility and effectiveness of that new method which is presented in this paper are demonstrated by an example.

For a long time, the problems of the traffic management integrated information fusion have been paid more and more attention. Herein, this paper presents the method of information fusion not only based on the traditional methods, but also considering the information filtering processing and diverse membership function fusion.

We report an all-normal-dispersion ytterbium fiber laser mode locked by nonlinear polarization evolution. With a 347-m-long all-fiber ring cavity, a pulse energy of 263 nJ at a repetition rate of 613 kHz is achieved, which is the highest per-pulse energy directly obtained from an all-fiber mode-locked laser doped by ytterbium ions. The compact and operation-robust laser yields a well-shaped spectrum centered at 1032nm with a bandwidth (FWHM) of 4 nm, and the slope efficiency is as high as 27.5%. The proposed low-repetition-rate high-pulse-energy mode-locked fiber laser will be a promising seed for all-fiber chirped pulsed amplification systems.

An all-fiber laser using a single-walled carbon nanotube (SWCNT) as the saturable absorber (SA) for Q-switched operation in the 1031 nm region is demonstrated in this work. A lasing threshold as low as 17 mW was realized for continuous wave operation. By further increasing the pump power, stable Q-switched pulse trains are obtained when the pump power ranges from 38 mW to 125 mW, corresponding to repetition rate varying from 40.84 kHz to 66.24 kHz, the pulse width from 2.0 mu s to 1.0 mu s, and the highest single pulse energy of 40.6 nJ respectively.

Reusing software architecture and its constituents, which are a kind of coarse-grained software resources, are confronted with great difficulty. Reflection mechanism has been successfully applied in the reuse of code component, but scarcely applied in the reuse of architecture and its constituents. Architectural reflection is the computation performed by a system about its own architecture, and currently confined in the realm of the runtime management and dynamic evolution of software systems. This paper proposes a reflection mechanism supporting the reuse of architectural level design, which offers the information support for reusing the architecture and its constituents at design time of software architecture by modeling the meta-information about the base-level to construct a meta-level architecture. Moreover, this paper illustrates the approach to describing meta-level architecture of this reflection mechanism, and presents the solution of constructing this reflection mechanism in detail. Through this reflection mechanism, architects could accomplish the tasks of architecture design efficiently at software design stage, by reusing software architecture and its constituents.

A self-starting mode-locked femtosecond laser is accomplished with an oxoborate self-frequency doubling crystal Yb:YCa4O(BO3)3 (Yb:YCOB) as the gain medium and a semiconductor mirror as the saturable absorber. Pumped by a 976-nm fiber-coupled diode laser with 50-μm core diameter, stable mode-locked laser pulses up to 430 mW were obtained at a repetition rate of 83.61 MHz under 5-W pump power. The autocorrelation measurement shows that the pulse duration is as short as 150 fs by assuming the sech2 pulse shape at a central wavelength of 1048 nm. This work has demonstrated a compact and reliable femtosecond laser source for prospective low-cost applications.