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EN
The behavior of three parallel permeable cracks with different lengths in a functionally graded piezoelectric material plane subjected to anti-plane shear stress loading was studied by the Schmidt method. The problem was formulated through the Fourier transform into three pairs of dual integral equations. To solve the dual integral equations, the jumps of displacements across the crack surfaces were directly expanded in a series of Jacobi polynomials. The results show that the stress and the electric displacement intensity factors at the crack tips depend on the lengths, spacing of the cracks and the material parameters. It is also revealed that the crack shielding effect is present in functionally graded piezoelectric materials.
2
Content available remote Comprehensive Evaluation on Design Scheme of Cartesian Robot
51%
EN
Indexes and factors that effect on the performance of Cartesian robot are analyzed. A comprehensive evaluation index system of Cartesian robot is constructed. Basic concepts and methods about grey theory and fuzzy mathematics theory are used to establish the grey fuzzy comprehensive evaluation model on the design scheme of Cartesian robot. The decision can be more scientific by weighting different factors through entropy weight method. A design scheme case is evaluated by using the presented model, results show that the model can reflect whole performance of different design scheme.
PL
W artykule przedstawiono analizę parametrów wpływających na pracę robota liniowego (ang. Cartesian Robot). W badaniach wykorzystano logikę rozmytą oraz teorię odcieni szarości w celu opracowania modelu w logice rozmytej, służący do ogólnej oceny projektu robota liniowego. Przy użyciu proponowanego modelu, analizie poddano przykładowy projekt robota, dzięki czemu uzyskano pełne odzwierciedlenie jego możliwości działania.
EN
Choquet integral, as an adequate aggregation operator, extends the weighted mean operator by considering interactions among attributes. Choquet integral has been widely used in many real multi-attribute decision making. Weights (fuzzy measures) of attribute sets directly affect the decision results in multi-attribute decision making. In this paper, we aim to propose an objective method based on granular computing for determining the weights of the attribute sets. To address this issue, we first analyze the implied preorder relations under four evaluation forms and construct the corresponding preorder granular structures. Then, we define fuzzy measure of an attribute set by the similarity degree between a special preorder pairs. Finally, we employ two numerical examples for illustrating the feasibility and effectiveness of the proposed method. It is deserved to point out that the weight of each attribute subset can be learned from a given data set by the proposed method, not but be given subjectively by the decision maker. This idea provides a new perspective for multi-attribute decision making.
EN
Diode-bridge type capacitance detection circuit was developed in order to detect very small variation of differential capacitances in higher resolution. The circuit was designed for a comb structure tilt sensor, which was made of quartz crystal and had several movable electrodes between fixed electrodes. The circuit’s output was almost proportional to the displacement of the movable electrode. Presently, the resolution of 0.0015 degree was obtained using the combination of the sensor and the detection circuit. It corresponded to the resolution of about less than 4.5aF.
PL
W celu pomiaru bardzo malej różnicy pojemności z dużą dokładnością skonstruowano obwód elektryczny wykorzystujący mostek diodowy. Obwód został zaprojektowany dla miernika nachylenia kąta wykonanego z kryształu kwarcowego. Czujnik o strukturze grzebieniowej posiadał kilka ruchomych elektrod znajdujących się między elementami nieruchomymi. Sygnał wyjściowy obwodu był praktycznie proporcjonalny w stosunku do przesunięcia elektrod ruchomych. Obecnie osiągnięto dokładność miernika rzędu 0.0015 stopnia co odpowiada dokładności pomiaru pojemności rzędu 4.5 aF.
EN
Hydrological time series refers to the observation time point and the observed time value. The simulation and prediction of hydrological time series will greatly improve the predictability of hydrological time series, which is of great significance for hydrological forecasting. TensorFlow, the second generation of artificial intelligence learning system in Google, has been favored by a large number of researchers by virtue of its high flexibility, portability, multi-language support, and performance optimization. However, the application of deep learning in hydrology is less. Based on the TensorFlow framework, the AR model and the LSTM model are constructed in Python language. The hydrological time series is used as the input object, and the model is deeply studied and trained to simulate and predict the hydrological time series. The effect of the model was tested by fitting degrees and other indexes. The fitting degree of the AR model is 0.9551, and the fitting degree of the LSTM model is 0.8012, which shows the feasibility of the model for predicting the hydrological time series, and puts forward the solution for the limitation of the existing analysis results.
EN
Amplitude versus offset (AVO) analysis is a conventional seismic exploration technique in geophysical and lithological interpretation and has been widely used in onshore and offshore exploration. Its use in marine gas hydrate research, however, is still in initial stages. In this study, AVO analysis is applied to seismic profiles at drilling sites where hydrate samples have been recovered. The AVO responses of free gas, bottom simulating reflector (BSRs), and gas hydrates are discussed, and the AVO attributes in relation to gas hydrates are summarized. The results show that changes in intercept, gradient, fluid factor and Poisson’s ratio clearly reflect: (i) location of free gas and the BSR, and (ii) spatial relations between blank zone, BSR, gas hydrate, and free gas.
8
Content available remote Analysis of Saussurea species from tibet using HPLC-DAD-ESI-MS n
38%
EN
An HPLC-DAD-ESI-MS n method has been developed for simultaneous quantification of eight major compounds in eight Saussurea species which have long been used as the traditional Tibetan medicines. The method was validated for sensitivity, precision, and accuracy. LODs were from 0.11 to 5.01 μg mL -1, overall intra-day and inter-day variation was less than 2.70%, and overall recovery was over 98.0%. The correlation coefficients ( r 2) of the calibration plots were >0.991. This newly established method was successfully used to reveal difference among the chemical profiles and analytes contents of eight Saussurea species collected in Tibet. In addition, by comparison of UV and mass spectra with those of authentic compounds, a total of fifteen peaks were identified. It can be concluded that this is an effective method for quantification and evaluation of the flavonoids and coumarins in the eight species of the genus Saussurea . It can be used as an efficient reference method for development and use of the eight traditional Tibetan medicines by comparing their different characteristics.
EN
To understand the effects of geomorphology and environment on the 13C character of soil organic carbon (SOC) in a hilly karst area, 26 soil samples were collected in 2008 in Nanchuan, Chongqing, SW China. The results showed that the δ13C-SOC values were between -18.66‰~-27.41‰, with the mean value of -23.3‰. The data firmly indicated that the modern soil organic carbon was the mixture of C3 and C4 plants and mainly originated from C3 plants rather than C4 plants. According to the sequence of δ13C-SOC along the geomorphological change at this hilly karst area, it can be seen that the δ13C-SOC values was the crest > brae > foot. Based on the results of correlation analysis, the positive correlation between the δ13C-SOC values and their altitude is 0.432 (p=0.028), which reflects the land/soil degradation effects caused by the hilly geomorphology, especially in the water and soil erosion process.
EN
The development of the spiral ganglion was studied in steps sections of 81 human temporal bones. By the 8th week, the spiral ganglion has already separated from the vestibular ganglion. At 13 weeks two distinct populations are observed that correspond to neuron and Schwann cells. At 15 weeks the spiral ganglion has increased its distance from the cochlear duct and is surrounded by mesenchyme near the scala tympani. At 14 weeks a gradual decrease in the nucleus-to-cell area ratio was observed in spiral ganglion neurons that may reflect a morphological adaptation to function. By the 23rd week the modiolus begins to ossify and the spiral ganglion is surrounded by bony trabeculae. The time course of spiral ganglion development follows that of the stria vascularis and organ of Corti, although maturation changes are still observed in the neuronal population even beyond 20 weeks.
EN
Research on the optimization of hydrological model parameters is an important issue in the field of hydrological forecasts, as these parameters not only directly impact the accuracy of forecast programs, but also relate to the development, application, and popularization of hydrological models. In this paper we selected the double-excess runoff generation model as the subject for research, and the data obtained from tens of flooding events in the Fen River Basin were used for the construction of these models. The SCE-UA and MOSCDE algorithms were then taken to optimize the models’ parameters. The results showed that: as compared with the SCE-UA algorithm, higher flood forecast accuracies were obtained through model parameter optimization using the MOSCDE algorithm. During the examination period, the compliance rate of the flood peak magnitude increased from 60% to 70%, while the compliance rate of the flood peak duration increased from 80% to 90%. The Nash-Sutcliffe efficiency (NSE) of the flood peak magnitudes increased from 0.664 to 0.878, which demonstrates an improvement in goodness-of-fit; the RMSE value of flood peak magnitudes also decreased from 399.8 to 236.84, thus showing a decrease in dispersion and an improvement in goodness-of-fit. With the continuous improvements made in hydrological parameter algorithms and the creation of new optimization algorithms, there is no doubt that the optimization of hydrological model parameters will become more reasonable.
EN
Tuberculosis (TB), affecting one-third of the global population, kills an estimated two to three million people every year. The development of drug resistance is becoming a serious threat to any attempt to control this disease, which underscores the need for new agents targeting Mycobacterium tuberculosis (M. tuberculosis). Osthole (7-methoxy-8-isopentenoxycoumarin) is a coumarin derivative present in many medicinal plants. Previous studies have shown that osthole possesses antimycobacterial effects, however, the action mechanism of osthole is unclear. In the study, we used a commercial oligonucleotide microarray to determine the overall transcriptional response of M.tuberculosis H37Rv triggered by exposure to osthole. Analysis of the microarray data revealed that a total of 478 genes were differentially regulated by osthole. Of these, 241 genes were upregulated, and 237 genes were downregulated. Some of the important genes that were significantly regulated are related to different pathways such as fumarate reductase, class I peroxidase, cell wall, nitrate respiration, and protein synthesis. Real-time quantitative RT-PCR was performed for chosen genes to validate the microarray results. To our knowledge, this genome-wide transcriptomics approach has produced the first insights into the response of M. tuberculosis when exposed to osthole.
EN
Barley stripe mosaic virus (BSMV) is an established and extensively used virus-induced gene silencing (VIGS) vector for gene function analysis in monocots. However, the phenotypes generated by targeted gene silencing may be affected or masked by symptoms of BSMV infection. To better understand the potential effects of BSMV-VIGS in hulless barley (Hordeum vulgare var. nudum), the accumulation pattern of BSMV and its impacts on vegetative growth and water status were investigated. The results indicated that the vegetative growth of infected plants was significantly and continuously impacted by BSMV from 10 to 40 days post inoculation (dpi). When the accumulation of BSMV was extremely high (7 to 11 dpi), infected plants displayed twisted leaf tips with an increased water lose rate (WLR) and decreased water content (WC). Virus accumulation declined and stabilized after 25 dpi, at this stage, the WLR and WC were unaffected in the infected plants. The efficiency of VIGS was tested by the silencing of Phytoene desaturase (PDS). RT-qPCR indicated that BSMV-VIGS can be sustained with good efficiency for up to 40 dpi under an altered condition with lower temperature (22 ±1°C) and higher relative humidity (70 ±10%). It was concluded that 25 to 40 dpi was the appropriate time zone for drought-related gene analysis by BSMV-VIGS under such condition.
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