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The main goal of the project is weight analysis of scissor lifting table in the ware house, the scissor lifting table is a common device for all kind of peoples, we go to do the structural analysis of the scissor lifting table with the various human weights scissor lifting table modelled in Solid works software and structural analysis of human weights 50kg, 75kg, 100kg and 125kg done in ANSYS workbench software Scissor-type systems are frequently used as

In the 40 years of China’s reform and opening up, the jewelry market has changed from a traditional market to a fashion market that reflects individual aesthetics. People’s demand for jewelry is not only a decorative effect, but also a jewel to reflect their aesthetic relationship. The future of contemporary art jewelry will gradually occupy its share in the jewelry market. From the international jewelry market to the Chinese jewelry market, the economic volume is changing, the consumption of traditional jewelry is decreasing, and contemporary art jewelry is gradually becoming the object of consumption. The purpose of this study is to explore the factors that influence the consumption of contemporary art jewelry, which is equivalent to doing a good job in premarket research for the development of marketing strategy research. This study studies the factors influencing the consumption of contemporary art jewelry through quantitative research methods. The main variables are products, consumers, and advertising. In this study, 423 questionnaires were obtained from the citizens of Beijing, China, and the results were analyzed by SPSS one-way analysis of variance, weight analysis, and fundamental analysis. The research results show that consumers, products, and advertising have a relatively important impact on contemporary art jewelry consumption.

Objective: The present study investigated the erosive potential of children’s mouthrinses on glass ionomer cement (GIC) samples after simulated toothbrushing. Study design: Forty round-shaped samples of GIC were divided into 3 groups: G1- cetylpyridinium chloride, G2- xylitol and triclosan and G3–Malva sylvestris and xylitol and G4–distilled water as a control group. Prior to the main tests, the samples were submitted to the surface roughness measurement (Ra) and weight analysis (W). Afterward, they were brushed twice day (2× / day) for 15 days and immersed in mouthrinses after the last daily brushing. The final surface roughness (R2) and weight (W2) were determined after completing the tooth brushing-mouth rinsing cycles and the real increase in roughness (ΔRa) and real weight loss (ΔW) were calculated. In addition, stereoscopic images taken at 30× magnification. The data was analyzed by one-way ANOVA and Tukey-test post hoc tests for intergroup comparison and the T-test for dependent samples (α = 0.05). Results: Only group G2 showed increased in roughness ΔRa (1.53 ± 0.94) whereas ΔW values were not significant. However, evident cracks and voids were verified for all tested children’s rinses. Conclusion: Thus, children’s mouthrinse containing xylitol / triclosan increased the GIC roughness, especially when associated with brushing.

Traffic sign recognition is meaningful for real-world applications such as self-sufficient driving, traffic surveillance, and driver safety. However, traffic sign recognition is a hard problem because different sizes, illuminations, and noises affect the sign detection and recognition. This work recognizes Taiwan’s prohibitory signs using deep learning methods. First, we develop a traffic sign database since there is no such kind of database available in Taiwan. Next, we adopt three different You Only Look Once (Yolo) networks (Yolo A, Yolo B, and Yolo C) and three various Yolo V3 SPP networks (Yolo D, Yolo E, and Yolo F) for prohibitory sign recognition. Finally, we conduct the comparative experiment of Yolo V3 and Yolo V3 SPP with different weights provided by the darknet framework (the best weight, the final weight, and the last weight). Experimental results show that the mean average precision (mAP) observation of all models that the Yolo V3 SPP is better than other models. Yolo D took the optimum average accuracy at 99.0%, followed by Yolo E and Yolo F 98.9%. The accuracy of Yolo V3 SPP is growing within the detection time, but it needs more time to identify the sign.

As an important clean coal technology, direct coal liquefaction generates a large amount of residue while producing oil. Catalytic gasification is an attractive conversion route for direct coal liq...

Social media plays an important part in the digital transformation of businesses. This research provides a comprehensive analysis of the use of social media by business-to-business (B2B) companies. The current study focuses on the number of aspects of social media such as the effect of social media, social media tools, social media use, adoption of social media use and its barriers, social media strategies, and measuring the effectiveness of use of social media. This research provides a valuable synthesis of the relevant literature on social media in B2B context by analysing, performing weight analysis and discussing the key findings from existing research on social media. The findings of this study can be used as an informative framework on social media for both, academic and practitioners.

With the development of Internet and e-commerce, traditional word of mouth communications have evolved into electronic word of mouth (eWOM) communications, which significantly affect consumers in their decision-making process. Previous studies investigated how consumers process information online and how it affects consumer behaviour applying the Elaboration Likelihood Model (ELM). ELM distinguishes between two routes of information processing: central and peripheral. Existing literature has a mixed of findings regarding factors affecting information process using ELM and lacking a comprehensive review providing evaluation and a consolidated view of these factors. Thus, the aim of this research is to evaluate the use of ELM in the context of eWOM research by performing a systematic review and weight analysis of existing research findings. This will help consolidating the predictive power of the independent variables on the dependent variable, by taking into consideration the number of times a relationship has been previously examined. The model developed through weight analysis would allow eWOM practitioners to decipher more influential factors.

The Quality of Experience (QoE) plays an important role in 3d scenes and is of great significance to the future development of technology. Technical parameters are still a key factor influencing the Quality of Experience (QoE). In order to better explain the relationship between technical parameters and Quality of Experience (QoE). In this paper, Quality of Experience (QoE) is divided into three elements and implements a weight analysis model between user experience elements and technical indicators. In view of the above model, we put forward the overall efficiency analysis method based on DEA, and calculated the weights of all aspects. In this way, when determining the technical scheme of 3d video, by balancing important indicators and non-important indicators, one/several technical aspects can be improved pertinently and better video effect can be achieved with less cost.

AIMS Peripheral arteries are constantly exposed to deformation (elongation, twisting, shortening, compression) making bioresorbable scaffolds (BRS) a potentially attractive therapeutic alternative to metallic stents. We conducted a long-term pilot preclinical study of a novel sirolimus-eluting BRS in peripheral arteries. METHODS AND RESULTS Fourteen BRS were deployed in iliofemoral arteries of seven healthy Yucatan miniswine and examined with imaging, pharmacokinetic, histopathologic, and polymer degradation techniques at 0, 30, 90, 180 days, 1, 2, and 3.3 years. Angiographic late luminal loss remained unchanged at 30 and 180 days but significantly decreased from 1 to 3.3 years. optical coherence tomography (OCT) showed late increase in lumen area (1 year: 14.70 ± 3.58 mm2 , 2 years 22.04 ± 3.81 mm2 , and 3.3 years 23.45 ± 7.07 mm2 ; p

Washing the working surfaces of propylene molds to remove residues of the concrete mixture is an important stage in the technological process of pavement slab production. Hardened concrete adheres strongly to polypropylene, and molds with residues of hardened concrete can no longer be used. They may be washed in solutions of strong inorganic acids of fairly high concentration. This is dangerous for both the equipment and the polypropylene surfaces of template molds. The purpose of this work was to create a new washing agent of satisfactory quality, enabling the non-destructive washing of polypropylene surfaces without mechanical interference. Another important objective was to reduce the cost of this agent relative to existing counterparts, so as to maintain the profitability of the process. The effectiveness and advantages of the newly developed agent were proved by the weight analysis method. This represents a scientific innovation in that a new effective means for removing hardened concrete residues from the working surfaces of polypropylene molds has been created, and a method for its preparation has been developed. The ability to wash the surfaces of polypropylene molds with maximum preservation of the surface quality, which significantly prolongs their use, is a valuable practical benefit. In addition, the mixture is shown to offer other significant advantages, including the lack of destructive impact on the polypropylene surface of the mold, availability and cheapness of the constituent components, ease of preparation, and absence of sharp and unpleasant odors. Preparation of the new mixture can be carried out both at specialized industrial sites and directly at paving slab production plants. The proposed agent has an unlimited shelf life over a wide temperature range.

In order to solve the problems of traditional localization methods, such as large localization error and low localization accuracy, a new localization method based on weighted least square estimation is proposed. In this method, firstly, a distributed wireless propagation model is established according to the structural characteristics of the nodes in the distributed wireless sensor network. Then, the weighted least square estimation algorithm is used to determine the weight of the nodes. Through the weight analysis of the nodes to be determined, the accurate location of the nodes in the network is calculated. Compared with the traditional localization methods, the results show that the localization error of the method based on weighted least square estimation is obviously smaller than that of the traditional method, and it has higher localization accuracy, which has good practicability (Abstract).

Background Slim patients or those with large breasts may be ineligible for breast reconstruction with an abdominal flap, as the volume of the flap may be insufficient. This study aimed to establish that abdominal tissue–based breast reconstruction can be well suited for Korean patients, despite their thin body habitus. Methods A total of 252 patients who underwent postmastectomy breast reconstruction with an abdominal flap from October 2006 to May 2013 were retrospectively reviewed. The patients’ age and body mass index were analyzed, and a correlation analysis was performed between the weight of the mastectomy specimen and that of the initial abdominal flap. Results The average weights of the mastectomy specimen and initial abdominal flap were 451.03 g and 644.95 g, respectively. The ratio of the weight of the mastectomy specimen to that of the initial flap was 0.71±0.23. There was a strong positive linear relationship between the weight of the mastectomy specimen and that of the initial flap (Pearson correlation coefficient, 0.728). Thirty nulliparous patients had a final-to-initial flap weight ratio of 0.66±0.11. The 25 patients who underwent a contralateral procedure had a ratio of 0.96±0.30. The adjusted ratio of the final flap weight to the initial flap weight was 0.66±0.12. Conclusions Breast weight had a strong positive relationship with abdominal flap weight in Koreans. Abdominal flaps provided sufficient soft tissue for breast reconstruction in most Korean patients, including nulliparous patients. However, when the mastectomy weight is estimated to be >700 g, a contralateral reduction procedure may be considered.

The micro-expression spotting has recently attracted increasing attention from psychology and computer vision community, since embraced in the second facial Micro-Expression Grand Challenge (MEGC 2019). Different from the original feature difference (FD) analysis, in this paper, we proposed a novel temporal and spatial domain weight analysis of feature difference (TSW-FD) to achieve micro-expression spotting. The experimental results showed that TSW-FD improved 17.86% and 24.21% in F1-Score comparing to the FD in CASME II and SMIC-E-HS.

International audience; Mobile phone subscriptions are the largest form of consumer technology adopted across the world. Despite their potential, the research is very scant in understanding various predictors of consumer adoption towards mobiles technologies in particular mobile applications. This study intend to fulfil this purpose through weight analysis on mobile application adoption based studies that utilized UTAUT2 model. Studies needed for weight analysis were located through cited reference search method in Scopus and Web of Science bibliographic databases. The results of weight analysis revealed performance expectancy/perceived usefulness, trust and habit as best predictors of consumer behavioural intention to mobile applications adoption whereas behavioural intention was the best predictor of use behaviour. There were also two promising predictors with perfect weight of one such as perceived risk on behavioural intention and habit on use behaviour. Further steps of this research involves meta-analysis to develop comprehensive conceptual model concurrent with weight analysis results for empirical evaluation on various mobile applications.

An accurate determination of the minimum miscibility pressure (MMP) is required for the miscible gas injection project in oilfield. The experimental methods are usually considered to be an available and appropriate way to determine the MMPs, while so far few study has been found to systematically review and evaluate the experimental MMP determination methods. In this study, for the first time, ten existing experimental methods and their three important technical aspects, including the experimental design, operating procedure, and MMP criterion, are critically reviewed for determining the MMPs. Then, the three technical parts for each experimental method are specifically evaluated and scored from thirteen factors. On the basis of the evaluation results, a novel and effective screening table, which is coupled with the weight analysis, is initially developed to assist the selection of the most appropriate MMP experiment for different specific conditions. From the previously published studies, the conventional slim-tube tests, rising-bubble apparatus (RBA), and vanishing interfacial tension (VIT) technique are still the three most widely-used experimental methods for the MMP determinations. Results from this study indicate that the slim-tube and coreflood tests are the best experimental methods for the MMP determinations, which are followed by the RBA, VIT technique, and microfluidic test. Future work with respect to the experimental design, operating procedure, and MMP criteria are expected to improve the existing experimental methods and possibly initiate a completely standardized experimental method for the MMP determinations.

Randomization ensemble creation technique well-known as Bagging is widely used to construct trained ensembles of base classifiers. The computational power and demand of Neural Networks (NNs) approved in both researches or in applications. The weight connections of the NNs holds the real ability for the NNs model to efficient performance. This paper aims to analyze the weight connections of the trained ensemble of NNs, as well as investigating their statistical parametric distributions via presenting a framework to estimate the best-fit distribution to the weight connections. As so far the presented work is the first attempt to explore and analyze the weight connections distribution of a trained ensemble of NNs. Obtained results proven that the T-location scale statistical distribution is approximately the best-fit to the weights of the trained NNs ensemble, consequently we aim in our future work to employ the outcomes to withdraw the weight connections value from approximated best-fit distribution instead of training the classifier from scratch.

This study aimed to construct an operable, monitorable, and quantifiable low-carbon tourism development suitability evaluation model. This paper presents quantitative indicator standardization. Delphi and fuzzy analytic hierarchy process methods were used for data collection and carrying out the corresponding weight analysis. Through abundant literature review and expert interviews, this study constructed an objective and quantitative evaluation model, consisting of 6 aspects and 16 evaluation categories with 53 indicators that were significant to develop low-carbon tourism. The six aspects include transportation, travel agencies, hotel accommodation, destinations, local communities, and food service. This study also used Yilan Taiwan, a low-carbon tourism county, as an example, and carried out a comprehensive assessment, providing advice for developing low-carbon travel. This model can be used for evaluating the development of low-carbon tourism not only in Taiwan but in all places that aspire to promote...

For the past few years, great development has been achieved in deep foundation excavation. However, due to foundation excavation’s locality, individual diversity, complexity and uncertainty, the probability of accidents in foundation pit engineering tends to be greater than that in main works, and the accident rate may even reach about 20%, which makes the study on factors leading to foundation excavation accidents quite necessary and meaningful. By use of Analytic Hierarchy Process (AHP), this paper has figured out the ratio (weight) of the investigation, design, construction and other factors leading to foundation excavation accidents to the whole factor set, which is of great guiding significance to the study on prevention and treatment of foundation excavation accidents in future.

Variation in several brain regions and neural parameters is associated with intelligence. In this study, we adopted functional connectivity (FC) based on Brainnetome-atlas to predict the intelligence quotient (IQ) scores quantitatively with a prediction framework incorporating advanced feature selection and regression methods. We compared prediction performance of five regression models and evaluated the effectiveness of feature selection. The best prediction performance was achieved by ReliefF+LASSO, by which correlations of r=0.72 and r=0.46 between prediction and true values were obtained for 174 female and 186 male subjects respectively in a leave-one-out-cross-validation, suggesting that for female subjects, a better prediction of IQ scores can be achieved using precise FCs. Further, weight analysis revealed the most predictive FCs and the relevant regions. Results support the hypothesis that intelligence is characterized by interaction between multiple brain regions, especially the parieto-frontal integration theory implicated areas. This study facilitates our understanding of the biological basis of intelligence by individualized prediction.

The objective of this study is to weight analysis portable backpack system of infantry weapon systems for ergonomic design in manual materials handling tasks. For the product design, we analyzed the ergonomic guidelines and status of similar weapon systems by comparing the efficient operation performance provide for the basic data. Result of this study, the relationship between portability and mobility presented for schematic. In the short distance of the short biomechanical ∙제1저자 : 정 성 학 ∙ 교신저자 : 정 성 학 ∙투고일 : 2014. 2. 5, 심사일 : 2014. 2. 26, 게재확정일 : 2014. 3. 2. * 국방과학연구소 (Agency for Defense Development) 156 Journal of The Korea Society of Computer and Information March 2014 criterion, 1-2 hours in the middle of moving psychophysical criterion, 4 hour or more long-distance criterion applied for the physiological criterion for easy of trade-offs that need to be considered. This study suggests for 4 research items for infantry backpack system in manual materials handling tasks. Throughout the result of anthropometric populations, the 5%tile body weight for -0.91kg but 95%tile in 34.17kg considered to be margin for free, easy and efficient operation for the weight margin between portability and mobility in manual materials handling tasks. ▸

Over the past two decades, considerable efforts focused on improving software quality to satisfy the customers needs in software industry, but it is hard to deal with the customers needs for its va gue and inexact characteristic. In order to evaluate software quality accurately and comprehensively, the weights of customers needs and the weights of technical attributes of the software are determined by ANP and QFD in the paper. An illustrated example is presented to show the application of the proposed model, and the results show that the weights of product characteristics and the customer s needs in HoQ (House of Quality) analyzed by ANP can make software quality more accurate and comprehensive in software quality evaluation.

In the used car market, residue ratio of accuracy directly affects the accuracy of the used car's price.Therefore, it is an urgent that calculation method is a scientific, accurate and easy to operate. Based on the existing estimation methods , improvements used car residue ratio have been made.It considers the various factors that affect the second-hand cars residue ratio, borrowed ideas of AHP, and the use of MATLAB software for weight analysis, simplify complex the calculation process, so calculation of residue ratio is both scientific and simple, so that it is widely used.

Emission regulations for diesel engines are becoming increasingly stricter worldwide, which make the modification to the SCR aftertreatment systems for marching various diesel engines of different emission levels become an urgent problem. This work presented a complete urea-SCR modeling approach. An accurate urea-SCR model consisting of 1d/3d adblue injection model and 1d catalytic converter model was established. After the estimation of kinetic parameters, the model showed good agreement with experimental data for different exhaust temperatures. Based on this advanced urea-SCR platform, this work explored influencing factors on SCR system, analyzed the individuals' weight, and finally found out the critical elements. Obviously, the results of this work can be used to reduce the development cycle and to promote the efficiency.

For the large quantity of development drilling work in Xishimen iron mine, the method combined Experts Method and analytic hierarchy process (AHP) are used in TRT Advance forecast, focusing on the advantages of each method, and overcome the shortcomings of each method. Utilizing the analytic hierarchy process (through the MATLAB program) to calculate analyze and judging the weight function for each indicator of the 17 indexes, establish goaf assessment indicator system. Applying to Xishimen iron mine as an example, the main influencing factors of the goaf hidden dangers are goaf volume, correlation of goafs around, buried depth, maximum exposure area, which are consistent with the actual situation. Analyzing the combination weight analysis of advance forecast improves the accuracy of the advance forecast, makes it rationality, and makes the qualitative indexes quantitative; all of these provide the supports for the standardization of the advance forecast.

Beijing Hutong has been the symbolic building of old Beijing city for hundreds of years and today it still accounts for a large proportion in the old buildings. In this article, Appraiser work of structural safety reliability is firstly done for the selected Hutong buildings. Then Analytic Herarchy Process is used to do the weight analysis of renovation schemes focusing on four different aspectsstructural safety, historical value, architectural value and cultural and artistic valueso as to get a more reasonable renovation and Appraiser conclusion. The Appraiser method used in the article will provide some guidance and references for similar buildings renovation and identification.

Travel by air with long hours will create discomfort feeling for aircraft passenger especially economy class aircraft passenger. Long hour air travel will create physiological stress on aircraft passenger. It may due to seat space limitation, noise, vibration, cabin humidity as well as seat comfort. Seat comfort is a subjective feeling that related to psychological aspect of aircraft passenger. The current aircraft passenger seat is equipped with a passive function where the passenger themselves needs to adjust the seat for comfort seating position. The aircraft passenger will not able to adjust the seat when the aircraft passenger is in the low activity condition. The active seat support system was developed to support the aircraft passenger actively. The first prototype of active seat support system is focus on neck section. The head position of the aircraft seat was embedded with the system to detect the head position of the passenger. During the development of the active seat support system, total design technique was used. Five conceptual designs were generated for selection. To determine the final design of active neck support system, the matrix evaluation method was used. The weight of the concept was obtained through weight analysis.

The purpose of this paper is to perform a weight-analysis and to undertake a meta-analysis of findings reported in published research on the adoption and diffusion of e-government. Usable data relating to e-government adoption research were collected from 103 empirical studies. Of those 103 articles, only 63 used a range of different constructs with appropriate correlation values required for performing a weight- and meta-analysis. Diagrammatic representation has been presented using significant as well as non-significant relationships from all 103 publications. A broader analysis of research on adoption and diffusion of e-government also reflects that although a large number of theories and theoretical constructs were borrowed from the reference disciplines, their utilization by e-government researchers appears to be largely random in approach. This paper also acknowledges the theoretical contribution, the limitations of this study, and suggests further research directions for the continued work.

This paper carried out a subjective evaluation test with magnitude estimation for 78 noise samples to evaluate the sound quality of vehicles.In the test,six types of B-Class vehicles were taken as the study objects and sound signals collected in co-driver locations at steady states as experimental samples.Meanwhile,seven objective parameters were calculated to describe the sound characteristics.By using objective parameters as inputs,subjective values as outputs,a GA-BP neural network was adopted to establish a sound quality prediction model.Experiments show that the model gives good predictions of high correlation(0.928) and low error(±8%).Then,the network connection coefficients were used to calculate the impact weight of objective parameters on the results of subjective evaluation,and a new model with main parameters was established.As expected,the loudness,sharpness and roughness with a total relative importance of 83% are the most influential parameters in vehicle interior sound quality.

This paper researches the issues of English teaching by the use of the group decision-making hierarchical structural assessment model, which aims at clearly resolving the problems in the examination of the current English teaching, and quickly provides effective solutions. The group decision-making hierarchical structural assessment model can ultimately construct a quantitative index assessment system based on the weight analysis and combined with the multi-index quantification mode, thus flexibly and effectively solving fuzzy and complex problems. This paper will build a group decision-making hierarchical structural assessment model for English teaching in China, establish factors affecting level and measures scheme level, make a detailed quantita-tive weight evaluation analysis and find out an educational method that can effectively enhance the practicability of English in China.

College English teaching compares with the traditional English teaching from visual-audio-oral aspects. The integrated English teaching is mainly manifested in the target, systematicness, normalization, efficiency and effectiveness of the integrated English teaching quality. With the criteria of practicability, quality, integration and language features of the integrated teaching, this paper carries out quantifiable weight analysis of the integrated college English teaching content based on AHP model, and obtains proportion in various aspects.

In the rapid economic development today, the sources of energy and environmental issues have become increasingly prominent. At present, out country adopted a series of measures to improve the resources supply capacity, include to vigorously develop renewable energy. With the development and utilization of biomass energy has been paid close attention. This paper establishes three comprehensive evaluation models on biomass energy utilization’s potential applications in the region, using the method of fuzzy comprehensive evaluation, hierarchical weight analysis and factor analysis by means of MATLAB, SAS software. According these models we analyze biomass energy utilization’s development prospect and geographical distribution and expound several suggestions on adjustment of biomass energy utilization status in China.

Lungs as place where the gases exchange inside the body is related to enviroment sorrounding. Usage of electric mosquito repellent that contained allethrin on certain period can inflict lung’s abnormalities.The aim to this research is to find the effect of fumes exposure from the electric mosquito repellent that contained allethrin to weight and colour of rat’s lungs. The research was experimental laboratory. 24 male rats strain Wistar that devided into 4 groups, which were group 1 control (P0) without exposure, group 2 (P1) exposed 4 hours a day, group 3 (P2) exposed 6 hours a day and group 4 (P3) exposed 8 hours a day. In 30 th day, the rats terminated in the order to taken their lungs organ by operation. The purpose of taken the lungs was analyzed lung’s weight and alteration of its colour. The acquired data process by Anova test for weight analysis, and Kruskal Wallis test for colour change analysis, respectively with significant value (α < 0,05). The result of anova test is (α = 0.004) and kruskal wallis test is (α = 0,001), that to mean there are significan differentiation in group. Conclusion of this research : there was an effects of fumes exposure of electric mosquito repellent that contain allethrin against the weight and colour of the rat’s lungs. That effect on the lungs occour because collaps of the alveolus or lungs.

The objective of this research paper is to explore and develop a new methodology for computing carbon weight (CW) – often referred to as carbon footprint, in manufacturing processes from part level to assembly level. In this initial study, we focused on machining operations, specifically turning and milling, for computing CW. Our initial study demonstrates that CW can be computed using either actual measured data from process level information or from initial material and manufacturing process information. In mechanical design, tolerance analysis principles extend from design to manufacturing and tolerances accumulate for parts and processes. By extending this notion to CW, we apply mechanical tolerancing principles for computing worst case and statistical case CW of a product. We call this the CW tolerance approach (CWTA). Two case studies demonstrate the computation of CW. Based on the tolerance allocation concepts; CW allocation is also demonstrated through specific redesign examples. CWTA helps in ide...

A technique for choosing a rational load-carrying scheme and weight analysis at the early stages of designing lifting surfaces with the use of a special model of the finite element method is proposed. The distribution of structure loads is determined with regard for its deformation. The numerical example is presented.

The effects of a rhythmic context on auditory intensity processing were studied. Experiment 1 tested the hypothesis that the involuntary temporal direction of attention by a rhythmic context sequence influences the temporal weighting of loudness. Perceptual weight analysis was used to measure the attention directed to individual temporal portions of a longer stimulus by estimating the importance of individual temporal segments for global loudness judgements. A rhythmic context resulted in a sharper temporal weighting profile, but the expected rhythmic pattern of weights was not observed. In Experiment 2, the accuracy for detecting a peak in the temporal loudness profile of a level-fluctuating noise was measured for the level increment presented at expected and unexpected times. The rhythmic context again caused a more pronounced temporal weighting profile. However, the accuracy was neither significantly increased for expected target segment positions nor decreased for unexpected target segment positions, relative to the condition without a rhythmic context sequence.

hexiangzhen91@126.com Abstract. E-commerce has developed rapidly in recent years; the credit problems bring a lot of trouble to consumers. This paper has taken taobao as an example, found out the existing problems, and improved the index system by removing the logistics indicators and taking transaction time and transaction amount into consideration and using weight analysis with AHP method to establish a new credit model. Finally, we have made an empirical analysis by comparing the existing evaluation model and the improved model, the result shows that our new model is more efficient and practical.

The present work assessed the influence of different factors on some physical and chemical properties of nuts. The factors evaluated were the presence or absence of the inner skin, geographical origin, storage conditions (ambient temperature, in a stove at 30 and 50 °C, in a chamber at 30 and 50 °C and 90 % RH, refrigerated and freezing) and type of package (none, low density polyethylene and low density polyethylene). The fruits studied were almonds, hazelnuts and walnuts from different countries. The properties measured were moisture content, water activity, colour coordinates (L*, a* and b*) and texture parameters (hardness and friability). Experimental data were modelled using neural networks. The results showed that the almonds from Spain and Romania had aw greater than 0.6, and therefore, its stability was not guaranteed, contrarily to the other samples that presented values of aw lower than 0.6. The colour coordinate lightness varied from 40.60 to 49.30 in the fresh samples but decreased during storage, indicating darkening. In general, an increase in hardness and friability was observed with the different storage conditions. Neuron weight analysis has shown that the origin was a good predictor for moisture content and texture; whereas, the storage condition was a good predictor for aw and colour. In conclusion, it was possible to verify that the properties of nuts are very different depending on origin; they are better preserved at lower temperatures and the type of package used did not impact the properties studied.

Following several flight and ground test failures of spacecraft systems using single-shot, 'normally closed' pyrotechnically actuated valves (pyrovalves), a Government/Industry cooperative program was initiated to assess the functional performance of five qualified designs. The goal of the program was to provide information on functional performance of pyrovalves to allow users the opportunity to improve procurement requirements. Specific objectives included the demonstration of performance test methods, the seating; these gases/particles entered the fluid path of measurement of 'blowby' (the passage of gases from the pyrotechnic energy source around the activating piston into the valve's fluid path), and the quantification of functional margins for each design. Experiments were conducted at NASA's Langley Research Center on several units for each of the five valve designs. The test methods used for this program measured the forces and energies required to actuate the valves, as well as the energies and the pressures (where possible) delivered by the pyrotechnic sources. Functional performance ranged widely among the designs. Blowby cannot be prevented by o-ring seals; metal-to-metal seals were effective. Functional margin was determined by dividing the energy delivered by the pyrotechnic sources in excess to that required to accomplish the function by the energy required for that function. Two of the five designs had inadequate functional margins with the pyrotechnic cartridges evaluated.

Current military conflicts have created the need for an effective light attack aircraft like turboprops that are able to perform this kind of mission at a lower cost than existing combat aircraft. The reappearance of this type of aircraft makes necessary that the operative costs diminish and performance be improved, that is why this work centers in evaluating the sensitivities of the aircraft type LAAR, provided by the software AAA (Advanced Aircraft Analysis 3.19) and Roskam’s books “Airplane Design” (Roskam, 1985); based in this information it is possible to begin to design an airplane according to the requirements of the aircraft type LAAR.

For an exact and reproducible molecular weight calculation, an essential requirement in all applications of DNA profiling, we present a new system, called RFLP-MAC (restriction fragment length polymorphism-molecular weight analysis and calculation). The system is composed of a sensitive digital gray-scale scanner unit and an Apple Macintosh computer supported by a powerful combination of a shareware and self-developed software package. Molecular weights are calculated by profiling the optical density and band particle processing parameters to identify the unknown DNA fragments. Mathematical models were used to interpolate the transverse and horizontal migration directions of the molecular weight standards, insuring consistent results from gel to gel. All data are stored in a relational multi-user database system. Descriptive statistics are performed and allele frequencies are analyzed. Procedures for image-analysis, molecular weight calculation, statistical evaluations and database management were developed and run within the multitasking environment of 4th Dimension. Two sets of data, intragel and intergel measurements, are investigated in order to check the precision of the RFLP-MAC system. All these data are subjected to a standard analysis of variance resulting in a maximal 3 SD value of 0.005 (0.288%) for the intragel and of 0.091 (1.654%) for the intergel variation.

This paper describes the simulation of the Revolutionary Turbine Accelerator in the software EcosimPro. The Revolutionary Turbine Accelerator is a Variable Cycle Engine developed by NASA and General Electric in frame of the Next Generation Launch Technology program. A first simulation was done in EcosimPro by the Von Karman Institude; this paper in particular describes a simulation done using libraries from the European Space and Propulsion System Simulation. Results of the simulation are described and compared to results from the first simulation. Based on these results, a weight analysis of the Revolutionary Turbine Accelerator was performed.

In terms of the feature of the Self-Piercing Riveting process program, the evaluating index system for the process is created. The weighting aggregate is created with the analytic hierarchy process. The correctness of the weighting aggregate is tested by test results, Selecting the right test program basede on the value of weighting aggregate and synthetical importance.