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To satisfy the requirement of low power consumption vehicle computing platform for lane detection, this paper proposes a low computing power dependent real-time lane recognition method. Considering the variation of illumination during vehicle driving, a color separation method based on adaptive illumination to extract lane characteristics is proposed. The effective edge point form is defined and the lane lines are determined by edge point voting based on the classical edge detection and Hough transform algorithm. The lane lines are used to filter and supplement the edge points and the lane curve equation is obtained by using the random sample consensus algorithm. The results show that the proposed method achieves a recognition accuracy of over 98% and computation speed of 38 frames per second on a low power processor. Furthermore, the method has proven to be stable and robust in a variety of scenarios. [ABSTRACT FROM AUTHOR]

Copyright of Application Research of Computers / Jisuanji Yingyong Yanjiu is the property of Application Research of Computers Edition and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Self-compacting concrete with high fluidity and compactness is often used in the special engineering structures such as concrete-filled steel tubes. However, its preparation and construction process are highly susceptible to complex factors at the engineering site, resulting in uncontrollable fluctuations in its workability. There is still a lack of analytical control methods based on essence of rheology. This paper makes an analysis of the rheological parameters of concrete according to the data collected from actual engineering sites. The results show that the rheological parameters of concrete well conform to a log-normal distribution under multiple sample conditions. Besides, an analysis of the overall concrete stability was carried out according to the 95% confidence interval of the samples, using Γs0 ∈ [194.75, 225.76] ∩ μ ∈ [88.76, 95.00] as a criterion for good concrete stability, and the rheological parameters of concrete adjusted on site were analyzed along with the flow behavior of concrete in the pump pipe. The direction of rheological property regulation was discussed, and methods for optimizing pumpability ranges (Γs0 = [54.17, 391.76] ∪ μ = [52.77, 126.66]) and rheological parameters were proposed based on concrete rheological parameters. By revealing the inherent homogeneity of the concrete through the analysis of the characteristics of the rheological parameter curves, the paper proposed a criterion for the homogeneity evaluation of self-compacting concrete on site, providing a theoretical basis for the homogeneity evaluation, rheological property regulation and mix proportion design of self-compacting concrete. [ABSTRACT FROM AUTHOR]

Copyright of Forest Engineering is the property of Forest Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper investigates vernacular community, considers vernacular architecture as the product of spontaneous collective construction activities of the community members, and studies the community's subjective cognition of construction practices. Through fieldwork in Naxi area, it sorts out practice options in each step of the construction process of vernacular dwellings, according to which a questionnaire is designed in the form of graphical expression. Through random sampling, it then conducts a survey on the construction preferences of the community members in a typical Naxi village. The statistical analysis of the results shows that while community members generally prefer the more decorative architectural forms, they pay more attention to natural materials and ethnic identity represented in their dwellings. This paper is an attempt to apply social survey methods to the studies of vernacular architecture. Through quantitative research, it verifies and supplements the previous qualitative research, and provides data support for the practice in Naxi rural areas. [ABSTRACT FROM AUTHOR]

The entity omission is a typical problem of distantly supervised named entity recognition. Entity omission in the training set provides incorrect supervision information during model training, model will be more inclined to predict this type of entity as a non-entity when subsequently predicting entity types, resulting in a decline in the model s entity recognition and classification capabilities, and affects the generalization performance of the model. To deal with the problem, this paper proposed a incorporating similarity negative sampling for distantly supervised named entity recognition. Firstly, it calculated and scored the similarity between the candidate samples and the labeled entity samples. Secondly, it sampled the candidate samples based on the similarity score, and sampled the samples participating in the training. Compared with the random negative sampling method, this method reduced the possibility of sampling missing entities by combining similarity calculations, thereby improving the quality of training data and thus improving the performance of the model. Experimental results show that compared with other models on the three data sets of CoNLL03, Wiki, and Twitter, compared with the baseline model, the proposed model achieved an average F₁ value improvement of about 5 percentage points. It is proved that this method can effectively alleviate the problem of performance degradation of the named entity recognition model caused by missing entities under distantly supervised conditions. [ABSTRACT FROM AUTHOR]

Metro construction accidents are prone to occur and the types of accidents are complex. Aiming at the problem that the existing metro construction accident analysis methods mostly rely on expert subjective experience, and only a few methods make use of accident report information, this paper proposes an analysis model for the causes of metro construction accidents based on NBN-EM. First of all, 223 accident reports collected from 2010 to 2021 are used as data sources, and statistical methods are used to extract and screen risk factors and further generalize them to establish an indicator system for accident causation analysis. Secondly, an improved Naive Bayesian network is used to construct the graphical structure of the relationship between risk factor indicators and accident types, while a stratified random sampling of 80% of the data is used as the training sample, and data learning is carried out with the help of EM algorithm and Netica software to determine the prior probability and conditional probability parameters of each node. Finally, Bayesian network inference and sensitivity analysis are employed to rank the key causal factors of different types of accidents, and scenario analysis from different perspectives determines the accident probability and risk source identification under the combination of risk factors. The research results show that the construction method, construction plan content and safety hazard investigation are the most important factors that cause accidents in the three dimensions respectively. The key risk factors for different types of accidents are differentiated and should be pre-controlled differently. The model testing verifies the validity of the method with an average correct rate of 84.55%. [ABSTRACT FROM AUTHOR]

Copyright of China Rubber Industry is the property of Editorial Office of China Rubber Industry and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Image matching technology based on deep learning has become a research hotspot in image retrieval tasks. Affected by the high similarity descriptors of different local regions, the mismatch problem reduces the retrieval accuracy of the existing methods. For this reason, a method of constructing and matching thermal feature descriptors for image retrieval is proposed. Firstly, the feature map of each layer is obtained through the semantic segmentation network. By observing the feature map, it is found that the last convolutional layer has the characteristics of stronger spatial and semantic information. For this feature, the gradient score is used to obtain the weight of each channel in the feature map. Through linear fusion, the channel dimension is weighted and summed and normalized, and the final heat map is obtained by bilinear interpolation. Secondly, the deep local features (DELF) algorithm is used to obtain the image depth feature descriptor. The category information and thermal value information obtained by the semantic segmentation network are used to construct a multi-dimensional composite depth feature descriptor, and the KD tree structure for this type of feature descriptor is given. Finally, based on the structure, it combines BBF (best bin first) and random sampling consensus algorithm to achieve feature matching. Experiments on the Oxford5K and Paris6K public datasets show that the proposed method is better in precision and time compared with the DELF and D2-Net algorithm. Compared with Fine-tuning CNN, DAME WEB and other methods, the retrieval accuracy is improved by nearly 2 percentage points. The method in this paper can better improve the efficiency and accuracy of image retrieval, and the experimental results verify the effectiveness of the method in this paper. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Harbin University of Science & Technology is the property of Journal of Harbin University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The displacement and modal parameters of the bridge are important criteria for evaluating the safety of the bridge structure. With the development of image acquisition equipment and digital image methods, monitoring technologies based on digital image methods have been widely used because of its advantages of non-contact, high precision and low cost. Aiming at the problem of bridge displacement monitoring, this paper proposes a method of bridge dynamic displacement monitoring based on digital image local feature detection algorithm. By shooting the image of the bridge when it is vibrating, the AKAZE algorithm combined with the improved BRIEF algorithm is used to detect and describe the feature points, then the fast library for approximate nearest neighbors (FLANN) algorithm is used for feature point matching, combined with the random sample consensus (RANSAC) algorithm and the principle of the consistency of adjacent feature points to eliminate mismatch points, so as to obtain the true displacement of the bridge. The results show that the results of the detection method and the comparison detection method are basically the same in the time domain and frequency domain, and the accuracy can reach millimeter level, which meets the requirements of bridge displacement measurement in engineering. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Liquid Crystal & Displays is the property of Chinese Journal of Liquid Crystal & Displays and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The scenario-based simulation test method can effectively accelerate the test process of autonomous vehicles, but the traditional sampling method cannot maintain high efficiency in the face of high-dimensional sampling space. This paper propose a Ball-Tree optimized simulation test scene sampling method, and based on the Carla simulator, it built a simulation test scenario automatic generation framework to verify the effectiveness of the algorithm. In this study, it use the random sampling method, the nearest neighbor sampling method based on the Kd-Tree structure and the nearest neighbor sampling method based on the Ball-Tree structure to sample scene parameters and generate extreme weather simulation test scenarios for verification. Finally, the results showed that the method proposed in this study has an 11.38-fold increase in scene production speed by comparing the simulation process with the manual method and showed that the scene generation speed has increased by 27.97% by comparing that with the Kd-Tree structure sampling method. [ABSTRACT FROM AUTHOR]

Copyright of Hydrographic Surveying & Charting / Haiyang Cehui is the property of Hydrographic Surveying & Charting Editorial Board and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Central China Normal University is the property of Huazhong Normal University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

【Objective】The present paper aimed to clarify the comprehensive soil fertility status of pitaya orchards in Hainan province, and the spatial distribution and changing trend of soil nutrients in pitaya orchards in Hainan province were analyzed and predicted by means of survey sampling and statistical methods, so as to provide the basis for scientific fertilization and soil management of pitaya orchards.【Method】60 soil samples were collected from pitaya orchards in the main producing areas of Hainan province.Soil pH, organic matter, available nitrogen, available phosphorus, available potassium, exchangeable calcium, exchangeable magnesium, available copper and available zinc were used as evaluation indicators.Inverse distance weight interpolation method（IDW） was used to analyze the spatial distribution of each index, and used the factor analysis method combined with IDW to evaluate and predict the comprehensive soil fertility of the pitaya orchards in the survey area.【Result】The orchard soil in the survey area was neutral and slightly acidic, and 50% of the soil samples, pH were lower than 6.5; The organic matter content was moderately low, and some areas of Ledong and Sanya were insufficient; The average value of alkaline hydrolysis nitrogen was only 79.17 mg/kg, and the soil in the survey area was relatively lack of alkali-hydrolyzable nitrogen; The content of available phosphorus and available potassium were both high, and the average available phosphorus was 119.06 mg/kg, far exceeding its environmental risk threshold（60 mg/kg）; Orchards in the survey area the content of trace elements in the soil was relatively abundant. The IDW prediction map showed that the content of trace elements in Dongfang and Lingshui was high, and the content of Ledong and Sanya was low; Based on the analysis of the comprehensive score IFI, the results of the comprehensive fertility prediction of pitaya orchards in the entire study area using IDW showed that the eastern part of the study area, the comprehensive soil fertility of the orchards in the eastern and western regions of the study area was relatively high, while the soil comprehensive fertility of the orchards in the central part of Ledong and Sanya was relatively low.【Conclusion】The pitaya orchards in Ledong and Sanya still need to increase the input of organic fertilizers or increase the application of lime to improve the soil pH and supplement the medium and trace elements; The orchards in the survey area need to increase the input of nitrogen fertilizer and control the application of phosphate fertilizer. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Mining & Metallurgy (10057854) is the property of Beijing Research Institute of Mining & Metallurgy Technology Group and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Aiming at non-Gaussian and multi-mode characteristics existed in industrial process data, this paper proposed a fault detection of multi-model batch process method based on statistics difference LPP. Firstly, it applied statistical pattern analysis to the batch process training data set to calculate the mean and variance of statistical process variables, and turned the uneven-length batches into equal-length statistics. It could ensure that the statistics pattern approximately obeyed the Gaussian distribution. Then it used the difference algorithm to transform the multi-mode into single mode. Finally, it used the LPP algorithm to reduce dimension and extract feature, and calculated the T~2 statistic of the sample. And it used the kernel density estimation to determine the control limit. This paper projected the new test sample data onto the LPP model after statistics difference processing, and calculated the T~2 statistics of the new data and compared them with the control limit for fault detection.Finally, the simulation results of the semiconductor process data show that this algorithm has the best fault detection effect, and demonstrates the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

Background: While cardiac resynchronization therapy improves the quality of life of patients with heart failure, some psychological and behavioral factors still affect the quality of life of these patients. However, information on the factors that affect the quality of life of these patients is limited. Purpose: To describe the quality of life and investigate the relationship between quality of life and behavioral and psychological factors such as depression, smoking, drinking, water and sodium restrictions, exercise, and adherence in patients with chronic heart failure following cardiac resynchronization therapy. Methods: This cross-sectional study was conducted using the Morisky Medication Adherence Scale, Minnesota Living With Heart Failure Questionnaire, and Cardiac Depression Scale. A convenience sample of 141 patients with heart failure following cardiac resynchronization therapy were recruited from a tertiary academic hospital in Chengdu. Results: The mean overall score of the Minnesota Living With Heart Failure Questionnaire was 30.89 (out of a total possible score of 105). Water restrictions, sodium restrictions, depression, and exercise were all shown to significantly predict quality of life among the participants. Conclusion/Implications for Practice: This paper describes the quality of life and defines the behavioral factors that affect the quality of life of patients with heart failure following cardiac resynchronization therapy. The findings suggest that nurses should manage and conduct health education for patients in order to improve their quality of life. [ABSTRACT FROM AUTHOR]

Most of the existing dynamic RRT path planning algorithms cannot keep the planned path away from obstacles,which may cause the robot to have insufficient time to avoid obstacles.To solve this problem,this paper proposed an improved RRT,denoted as APFG-RRT,which utilized artificial potential fields to guide the RRT grow to goal and away from obstacles.In order to further increase the convergence rate and speed up the jump out of local minima,it introduced a strategy of selecting the goal as the random sample at an adaptive probability.Finally,it adopted global planning combined with local replanning to improve its real-time performance in dynamic environment.Simulation experiments show that APFG-RRT has higher computational efficiency and lower memory requirements compared with the initial RRT and Goal-bias RRT,and the given path can be effectively away from obstacles,which improves the success rate of dynamic path planning. [ABSTRACT FROM AUTHOR]

Background: Taking antibiotics in strict adherence to physician prescriptions is crucial for maintaining the stability of the drug concentration in the blood and for achieving the best therapeutic effects. The increasing antimicrobial resistance in recent decades has led the Ministry of Health and Welfare to promote the rational use of antibiotics and the use of a computer monitoring system to control the use of antibiotics in hospitals. Although non-adherence is considered as the major factor contributing to antimicrobial resistance, patient non-adherence to antibiotic prescriptions is an issue that has been largely overlooked. This paper explores this issue due to the serious threat from antimicrobial resistance and the few studies that have investigated patient adherence to antibiotic treatments for acute infections in Taiwan. Purpose: The aims of the study include: (1) describe patient's adherence to antibiotic therapy for acute infections and (2) explore the potential factors of influence on antibiotic adherence such as demographics, disease characteristics, and knowledge of antibiotic treatment. Methods: The study used a descriptive correlational design. A convenience sample of 162 patients with acute infections was recruited from outpatient infectious disease clinics in Taoyuan City. Data were collected using the study questionnaire and analyzed using the chi-square test, Mann-Whitney U test, and logistic regression. Results: The study results showed that only 40.1% of patients followed their prescription to take antibiotics completely. The remainder earned lower scores than their prescription-adhering counterparts for knowledge regarding the effects of antibiotics (U = 2654.5, p = .046). Results of logistic regression showed that knowledge regarding the effects of antibiotics was the most significant predictor (B = .481, p = .046) of adherence to antibiotic therapies. Conclusion: Non-adherence to prescriptions is prevalent in short-term antibiotic treatments prescribed for acute infections. This finding reminds healthcare providers to provide proper education to the recipients of antibiotic treatments, even those treated for a very short duration for acute infections in outpatient settings. Special attention should be pay to enhancing the understanding and appreciation of patients for the therapeutic effects of antibiotics. [ABSTRACT FROM AUTHOR]

Aiming at the fault detection in batch processes with nonlinear or multimodal characteristics, this paper proposed a health status monitoring based on DKNPE. First, it calculated the score matrix of the training data set using NPE method, which was named real scores. Then, it calculated the K-nearest neighbor mean of each sample in the training data set and projected the mean into the low-dimensional space to obtain the estimated score of the sample. Next, it established two new statistics to monitor of samples in DS and DRS respectively. Compared with traditional methods such as principal component analysis ( PCA), fault detection based on K nearest neighbors ( FD-KNN) and NPE, the results indicate the effectiveness of the proposed method in two numerical cases and semiconductor etch processes. [ABSTRACT FROM AUTHOR]

Copyright of School Administrators is the property of School Administration Research Association, R.O.C. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To optimize communication efficiency and reduce the data transmission of shuffle in large-scale clusters running for MapReduce jobs, this paper built a distributed collaborative data mapping model by replacing the communication locality using storage locality. Then it extracted the local features of jobs by random sampling and machine learning method in order to realize the effective deployment of map tasks. Finally, it selected the nodes with good communication links based on the software define network technology due to its global flexible control capabilities, and scheduled the map tasks to such nodes. Experimental results show that the model has better optimization effect on shuffle-intensive jobs. The communication delay is reduced by 4.3% to 5.8% . This solution can reduce shuffle traffic and data migration delay and it is suitable for various scheduling strategies and network topologies. [ABSTRACT FROM AUTHOR]

Copyright of Piezoelectrics & Acoustooptics is the property of Piezoelectric & Acoustooptic and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Peristomal moisture--associated skin damage, also known as peristomal irritating dermatitis, is the most common complication after an ostomy. Its occurrence causes the pouching system to leak repeatedly, resulting in a vicious circle of irritating dermatitis, which leads to serious skin damage, pain, and infection. These changes have a severely negative on the body, mind, and life of patients. The occurrence of this complication is closely related to factors such as patient attributes, stoma, and pouching system. Therefore, the management and tracking of stoma patients as well as the use of an appropriate pouching system to prevent leakage are the key factors for avoiding skin damage. Hence, nurses should have knowledge and skills for the management of stomas and peristomal skin and the ability to teach patients to perform correct ostomy care, prevent the occurrence of related skin damage, and maintain their quality of life. In this paper, we review the mechanism of occurrence and related factors of peristomal moisture--associated skin damage and suggest measures for prevention and care. We hope to provide nurses with useful concepts related prevention and treatment that can be introduced into a clinical application to reduce the occurrence of skin damage in patients with stomas. [ABSTRACT FROM AUTHOR]

Background: Staff caregivers of day care centers provide many activities for older people. However, there is a lack of a systematic curriculum based on Taiwanese culture to improve cognitive function, self-care ability, and depressive mood status in these individuals. Purpose: This study was designed to test the effectiveness of a series of localized cognitive stimulation training courses implemented by direct caregivers and aimed at improving cognitive function, self-care ability, and depressive mood in older people at day care centers. Methods: This cluster-randomized controlled trial research was conducted over a four-month period. The participants were randomly assigned to the experimental, comparison, or control groups based on their day care center affiliation. The experimental group received a series of localized cognitive stimulation training sessions with musical rhythm courses from day care center direct caregivers. The cognitive function, self-care ability, and depression mood state of the three groups were then tested. Results: The experimental group reported statistically significant changes in average scores for attention, feeding, and depressive mood. After controlling for time and degree of participation in activities, the comparison group reported a lower average score for cognitive function at timepoint 3. Conclusions/Implications for Practice: The results of this study support caregivers at day care centers implementing a series of localized cognitive stimulation training course interventions to prevent declines in activities of daily living and cognitive function and ameliorate depressive mood in older adults. In the future, a larger sample size should be used to improve the effectiveness of the intervention. [ABSTRACT FROM AUTHOR]

The prediction of deformation capacity of reinforced concrete (RC) columns is the foundation to realize performance-based seismic design. This paper presented a critical review of flexural-shear failure of columns based on Chinese design codes. The empirical formulas of ultimate deformation of RC columns were discussed, and the deficiencies of parametric model were revealed. The failure mode of flexural-shear, shear behavior and P-Δ effect are the main reasons for the scattering of the prediction of ultimate displacement. The length of plastic hinge is not a specific statistical sample. The prediction of ultimate displacement on the basis of equivalent plastic hinges method shows large scatter. In order to reveal the real shear demand in RC columns subjected to seismic loadings, the interaction between shear and flexural behaviors in plastic hinge zone should be taken into consideration. However, the corresponding simplified methods need to be improved. An effective method to evaluate the effect of shear on the deformation performance of columns is not available. In the GB 50010—2010 ‘Code for design of concrete structures’, the correction of the shear capacity formula for seismic design can effectively avoid the shear failure of columns under large displacement reversals, but the safety margin is different under varying ductility levels of ultimate displacement. The scatter of the prediction of GB 50010—2010 is larger than that of the original formula. Shear demand of identical columns under different test setups is not same due to the variety of P-Δ effect. The influence of P-Δ effect on the ultimate deformation capacity of RC columns depends failure modes. Finally, according to the relevant research in ultimate deformation, it is suggested that Chinese building code should be supplemented with an empirical formula for lower limit value of ultimate displacement by regression methods to improve performance-based design methods. [ABSTRACT FROM AUTHOR]

Linear multiplicative congruential method( LMCM) random number generators are widely utilized in car registration lottery. To improve the statistical qualities of the code distribution for purchasing lottery of application and lucky random number sequence, according to the application demand, this paper designed a new linear multiplicative congruential algorithm, which based on the concept of uniformly distribution. In the new algorithm, with the original method of LMCM generator of modulus as the foundation, the random number produced through the same seeds uniform distributed. Due to implementation of the segmentation algorithm, the generation of random numbers would not increase obviously in the amount of calculation, which could satisfy the demands of car registration lottery. Statistical test results show that the proposed algorithm for statistical quality improvement of random sequences is significant. At the same time, the algorithm has been successfully applied to car lottery system in Guiyang specific areas, which show a good application population. Therefore, the method can be as a new random number sampling algorithm. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Oil Crop Sciences is the property of Oil Crops Research Institute of Chinese Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Educational Research & Development / Jiao Yu Yan Jiu Yu Fa Zhan Gi Kan is the property of National Academy for Educational Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Commerce & Management Quarterly is the property of Chinese Association of Business & Management Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To evaluate brain plasticity by resting-state fMRI (rs-fMRI), and to explore the potential neuroendocrine mechanism of repetitive transcranial magnetic stimulation (rTMS) in improving post-stroke cognitive impairment (PSCI) in patients with low thyroid hormone (TH) level. Methods A total of 28 patients with PSCI with low TH level who received rehabilitation treatment in Shijiazhuang People's Hospital from August 2020 to December 2021 were randomly divided into rTMS group (n = 15) and control group (n = 13). Cognitive function was assessed by Montreal Cognitive Scale (MoCA) before and 4 weeks after rTMS, and serum levels of tri-iodothyronine (T3), thyroxine (T4) and thyroid stimulating hormone (TSH) were measured by double antibody sandwich method. rs - fMRI was used to calculate the fractional amplitude of low - frequency fluctuation (fALFF) and observe the activated brain regions after stimulation. Pearson correlation analysis was used to obtain the distribution of synchronous changes of activated brain areas based on whole-brain functional connection strength of hypothalamus and serum TH level in 2 groups. Results After 4 weeks of intervention, compared with control group, MoCA score (F = 1163.054, P = 0.000), and serum T3 (F = 1111.685, P = 0.000), T4 (F = 847.333, P = 0.000), TSH (F = 251.316, P = 0.000) in rTMS group was increased. In rTMS group, fALFF value increased mainly in posterior cerebellar lobe (t = 4.699, P < 0.05), middle frontal gyrus (t = 4.356, P < 0.05) and superior frontal gyrus (t = 5.675, P < 0.05), while fALFF value decreased in superior temporal gyrus (t = -7.874, P <0.05) and middle temporal gyrus (t = - 5.776, P < 0.05). The enhanced functional connectivity of the whole brain with bilateral hypothalamus as the region of interest (ROI) and the simultaneous increase of serum T3 and TSH levels were mainly concentrated in the cerebellum, frontal lobe and parahippocampal gyrus. Conclusions rTMS can indirectly affect hypothalamic function through cerebral cortex, increase serum TH level and improve cognitive function in PSCI patients. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Signal Processing is the property of Journal of Signal Processing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Point cloud registration is the important part in the large-scale city reconstruction. Considering the ground plane and buildings, which are the main objects in the city, always consist of several planes, we propose a new method that registering large-scale point clouds together through matched planes. For extracting the planes exactly from the point cloud, this paper presents a novel co-clustering method that clusters data points and hypotheses simultaneously. The traditional methods only cluster the data points, so they will fail to extract some planes. After knowing the planes, we use the random sample method to match the planes. The transformation matrix between the point clouds is calculated from the matched planes. Experimental results not only show that the co-clustering method can extract the planar structure more accurate and robust, but also demonstrate the effectiveness of the novel registration method for the city point clouds. Since the process in our method is only performed to the sparse version of the point clouds, it reduces the amount and complexity of calculation, which makes it to be suitable for the large-scale city reconstruction. [ABSTRACT FROM AUTHOR]

Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Due to the random selection of initial cluster centers, K-means clustering algorithm is prone to local optimal and instability of clustering results, and huge number of iterations. To overcome the above problems, this paper selected the initial cluster centers according to maximum distance, and it was based on the fact that the farthest samples were the least likely in the same cluster. To apply the improved algorithm into text clustering, it constructed a method to transform text similarity into text distance, and also reconstructed cluster center iteration formula and measurement function. It employed a text set which included 5 categories and 1 500 texts in the experiment. The experimental results show that, compared with the original K-means algorithm and its two recently improved editions, the proposed method can improve the F-measure and reduce total consuming time. [ABSTRACT FROM AUTHOR]

Ranked Set Sampling (RSS) is a useful method of data collection. Since the maximum likelihood estimator (MLE) about the mean of the exponential distribution based on RSS usually has no closed expression, we usually modified likelihood equation to obtain a modified likelihood equation by replacing the latter two terms by expectation. The paper focuses on obtaining a new modified likelihood equation by replacing one term by expectation . We also prove the new modified MLE (MMLE) is a unbiased estimator and calculate its variance. Numerical results show that the variance of the new MMLE is uniformly smaller than variance of usual MMLE and is very close to the mean square error of the exact MLE. Its variance is smaller than variance of MLE using simple random sampling (SRS). [ABSTRACT FROM AUTHOR]

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This paper mainly studied the problem of tag collision. Firstly, it analyzed and associated the existing grouped algorithm principle with its available developing problems with the research of the relationship of the characteristic of label distribution and related data structure in order to put forward the corresponding improvement scheme. Through the study of the process of grouping, it proposed the DFSA sampling training rules anti-collision algorithm based on tags grouped. At last, it verified the available of this method by the simulation results. The experiment shows that this algorithm not only does not affect the success rate of recognition, but also can improve the system recognition time, reduce the system computational complexity and system power consumption. [ABSTRACT FROM AUTHOR]

Circuit simulation is an important technique to decreasing the cost and improving high efficiency in the circuit design. However, the existing circuit simulation software still can not meet the dual demands of the industry on the accuracy and speed. This paper used response surface method to establish the approximate relationship of the output and input against MOS elements. It simplified complex circuit calculation as linear calculation. As a result, it greatly reduces the work and increases the speed. Meanwhile, in order to ensure the accuracy, the selected random points in the simulation has been improved by using more uniform and representative quasi random number. For the same number of random points, quasi random number makes the better results than the pseudo random number. This can guarantee the accuracy and improve the efficiency. We get good results by the empirical tests. [ABSTRACT FROM AUTHOR]

This paper proposes an improved adaptive importance sampling method that can be used for variables following a GEV distribution. The L-moment method is employed to build the relationship between sample statistics and distribution parameters. In the case study, the 24-hour design storm of Yungang Basin in Zhejiang Province is considered, and the probability of extreme precipitation is calculated for two rainfall gauge stations, Jinzhuling and Xianrentan. The results show that the proposed method performs well in simulating extreme rainfall, and the iterative number decreases as the number of samples increases. Compared with traditional MC simulation, the improved adaptive importance sampling method has better efficiency. Besides, this method has huge potential to be used for other distributions. [ABSTRACT FROM AUTHOR]

This paper analyzes the significance, feasibility and key issues of the GPS, GLONASS, BD, Galileo multi-system compatibility and proposes a multi-system compatible method in GNSS receiver based on SoC. A number of measures, such as IF sampling technique, time-frequency two-dimensional weak-signal fast acquisition technology, memory-code based correlation channel and SoC based signal processing method, were adopted to deal with the compatibility issues. With the compatible antenna and RF module, the GNSS receiver could solve and realize the sampling, capturing, tracking and other aspects of multiple system compatibility. The implementation details of proposed GNSS receiver were given with its architecture and process flow. A verification system has been built to realize compatible signals' tracking of multiple navigation systems. [ABSTRACT FROM AUTHOR]

This paper presents a point cloud simplification algorithm based on the combination of geometry image and random sampling methods. First, the algorithm transfers point-sampled models from Descartes coordinate into according spherical polar coordinate. And the geometry image is created by projecting its spherical polar coordinates onto a plane. The point cloud is simplified by the created geometry image. And the random sampling methods is applied to make up the holes induced by geometry image simplification. Some experiments prove the present algorithm's efficiency and simpleness. [ABSTRACT FROM AUTHOR]

Background: Bathing critically ill patients can decrease their risk of infection, thereby maintaining their personal hygiene and increasing comfort. Safe and effective bed baths are crucial. Studies on body temperature and heart rate variation during bathing are lacking. The purpose of this study was to compare the effects of two bathing practices, namely basin and disposable cloth baths, on body temperature and heart rate variations, bathing time, and microbial skin counts. Method: We designed a randomized clinical trial to evaluate the effects of basin and disposable cloth baths on 30 patients in an intensive care unit. Patients were randomized in a 1:1 ratio or each group had equal number of patients. Investigators measured bathing time, body temperature and heart rate during bathing, and bathing costs. Skin cultures were obtained before and after bathing. Results: We enrolled 30 patients in the study. No significant differences in body temperature and heart variations between the two groups were observed. The bathing times were 33.4 ± 7.0 min and 21.3 ± 6.8 min for the basin and disposable cloth bath groups, respectively. The disposable cloth bath group had significantly shorter bathing times. The microbial skin counts were not significantly different between the two groups. Conclusion: Body temperature and heart rate were not significantly different between the two groups during bathing. However, disposable cloth bathing practice can decrease bathing time. Therefore, disposable cloth bathing may be a desirable option in critical care settings. The present study provides information for making decisions related to bathing in clinical care settings. [ABSTRACT FROM AUTHOR]

Background: Although high-technology wound dressings are widely used in clinical care worldwide, no evidence or discussions have been published regarding the efficacy of these dressings in preventing pressure ulcers. Purpose: This study presents a repositioning of routine management combined with hydrocolloid dressing or foam dressing for pressure ulcer prevention. Method: We used a quasi-experimental design and recruited a convenience sample of 90 from a surgical intensive care unit (SICU) at a medical center in Hualien County, Taiwan. Participants were allocated randomly to one of three groups: repositioning of routine management, hydrocolloid dressing, and foam dressing. Study instruments included a pressure ulcer risk table (Braden scale) and the pressure ulcer classification system of the European Pressure Ulcer Advisory Panel. An independent sample t-test, ANOVA, and Mann-Whitney U test were used to verify research hypotheses. Results: The repositioning of routine management group had the highest pressure ulcer incidence rate, followed by the hydrocolloid-dressing group. The foam-dressing group recorded no pressure ulcers. Pressure ulcer occurrence grades were primarily level 1 and 2. There was no significance difference in pressure ulcer occurrence time between the repositioning of routine-management group and the hydrocolloid-dressing group. Finally, there were significant differences (p< .05) among gender, hypertension history, and BMI regardless of pressure ulcer incidences. Conclusion: It is recommended that patients in high-risk groups in clinical settings adopt strategies including repositioning and regular visual skin examinations. Also, hydrocolloid or foam dressings may be used as appropriate to prevent sacral pressure ulcers. [ABSTRACT FROM AUTHOR]