Generalized Bilinear Differential Operators Application in a (3+1)-Dimensional Generalized Shallow Water Equation

The relations between Dp-operators and multidimensional binary Bell polynomials are explored and applied to construct the bilinear forms with Dp-operators of nonlinear equations directly and quickly. Exact periodic wave solution of a (3+1)-dimensional generalized shallow water equation is obtained with the help of the Dp-operators and a general Riemann theta function in terms of the Hirota method, which illustrate that bilinear Dp-operators can provide a method for seeking exact periodic solutions of nonlinear integrable equations. Furthermore, the asymptotic properties of the periodic wave solutions indicate that the soliton solutions can be derived from the periodic wave solutions

Nonlinear Super Integrable Couplings of Super Classical-Boussinesq Hierarchy

Nonlinear integrable couplings of super classical-Boussinesq hierarchy based upon an enlarged matrix Lie super algebra were constructed. Then, its super Hamiltonian structures were established by using super trace identity. As its reduction, nonlinear integrable couplings of the classical integrable hierarchy were obtained

Peanut Frostbite Detection Method Based on Near Infrared Hyperspectral Imaging Technology

Peanuts were susceptible to frost damage during harvesting, transportation, storage, and processing due to temperature and humidity changes, which could affect the quality of peanuts and their products. In order to explore the mechanism of peanut frost damage and improve the detection efficiency of frost-damaged peanuts, this study used near-infrared hyperspectral technology to study the feasibility of non-destructive detection of peanut frost damage, optimization methods based on feature variable screening discriminant models, and the mechanism of peanut frost damage. The effects of five preprocessing methods, including standard normalized variate (SNV), multiplicative scatter correction (MSC), Savizkg-Golag (SG) smoothing, SG smoothing-SNV, and SG smoothing-MSC, on the original data were experimentally studied. Then, eight variable selection methods, including competitive adaptive reweighted sampling (CARS), random frog (RF), variable importance in projection (VIP), successive projections algorithm (SPA), Monte Carlo uninformative variable elimination (MC-UVE), iteration retention information variable (IRIV), variable combination population analysis-iteration retention information variable (VCPA-IRIV), and variable combination population analysis-genetic algorithm (VCPA-GA), were used to screen the feature wavelengths related to peanut frost damage. Support vector machine (SVM) was used to select the feature wavelengths that reached the discrimination accuracy threshold of 90% as the feature wavelengths of peanut frost damage. The results showed that the detection of peanut frost damage based on near-infrared hyperspectral imaging technology was generally feasible and had high accuracy. All variable selection methods can effectively screen the feature wavelengths related to frost damage. Among them, the VCPA-GA algorithm selected the least 7 feature wavelengths, accounting for only 3.125% of all wavelengths in the dataset. The accuracy of the training set and the test set were 91.60% and 90.12%, respectively. The selected frostbite characteristic wavelength reflects information about oleic acid and protein, verifying that excessively low temperatures can lead to a decrease in oleic acid content and an increase in protein content in peanuts. This study provides a theoretical basis and technical support for the rapid non-destructive detection of peanut frost damage

Effects and mechanisms of auricular electroacupuncture on gastric hypersensitivity in a rodent model of functional dyspepsia

Background Functional dyspepsia (FD) is a common functional gastrointestinal disease, and abdominal pain is one of the main symptoms. The aim of this study was to explore the effects and mechanisms of auricular electro-acupuncture (AEA) on gastric hypersensitivity in a rodent model of FD. Methods Ten-day-old pups were gavaged with 0.2 ml of 0.1% iodoacetamide daily for 6 days. AEA at the “stomach” point with different parameters or sham-EA was performed on 8-week-old animals. Gastric sensitivity to gastric distention was measured under different conditions. Autonomic functions were assessed from the spectral analysis of heart rate variability (HRV) derived from the electrocardiogram. Naloxone was injected intraperitoneally before AEA to explore the opioid mechanism. Gastric emptying was measured at the end of the study. Results 1) Gastric sensitivity to gastric distention was higher in the FD rats. AEA with parameters of 0.1s on, 0.4s off, 100Hz, 0.3ms and 0.4–0.5mA, but not other parameters or sham-EA, decreased gastric hypersensitivity in the FD rats. Naloxone did not block the effect of AEA. 2) Lower vagal activity and higher sympathovagal ratio were noted in the FD rats, compared with the controls. AEA increased vagal activity and improved sympathovagal imbalance. Conclusions AEA ameliorates gastric hypersensitivity in FD rats and this effect may be attributed to the improvement of sympathovagal balance.Yeshttp://www.plosone.org/static/editorial#pee

Research of the Measurement on Palmitic Acid in Edible Oils by Near-Infrared Spectroscopy

International audienceA method for determination of palmitic acid in edible oils by the near-infrared spectroscopy was addressed in this paper. 56 samples were collected in the experiment. In terms of concentration content gradient method, 44 samples were selected for modeling set and 12 for testing set. This paper described the utilization of PLS for establishing a quantitative analysis model for predicting the content of palmitic acid in edible oils by near-infrared spectroscopy. The result shows that the model has a high accuracy for predicting the palmitic acid content with vector normalization and first-derivative preprocessing spectra with its best main factorial number of 8.The determination coefficients (R2), root mean square error of cross validation (RMSECV), root mean square error of prediction (RMSEP) and average bias are 99.59, 0.162, 0.306 and 0.148, respectively. The model used in the paper can be adopted for the measurement of palmitic acid in edible oils accurately

Experimental Investigation Of The Real Contact Arc Length Measurement In The Cylindrical Plunge Grinding

The real contact arc length in grinding is one of the most important indicators in investigating of the material removal mechanism for precision machining. It is generally affected by a combination of plastic and thermal deformations in the machining process. This paper will provide a systematic investigation of the contact arc length in the cylindrical grinding of titanium alloy Ti-6Al-4V. A series of single grit experiments and grinding temperature measurements, together with FEM simulation, will be utilized to determine the real contact arc length. The contact behavior between a grinding wheel and the workpiece was investigated by the contact time in the workpice surface temperature curves. It was found that in FEM simulation, the real contact length was about 2 times of the geometric length. With the experimental results of the different grinding parameters, the real contact lengths calculated by temperature curves were about 1.5 - 2 times of the geometric length

Experimental Investigation Of The Real Contact Arc Length Measurement In The Cylindrical Plunge Grinding

The real contact arc length in grinding is one of the most important indicators in investigating of the material removal mechanism for precision machining. It is generally affected by a combination of plastic and thermal deformations in the machining process. This paper will provide a systematic investigation of the contact arc length in the cylindrical grinding of titanium alloy Ti-6Al-4V. A series of single grit experiments and grinding temperature measurements, together with FEM simulation, will be utilized to determine the real contact arc length. The contact behavior between a grinding wheel and the workpiece was investigated by the contact time in the workpice surface temperature curves. It was found that in FEM simulation, the real contact length was about 2 times of the geometric length. With the experimental results of the different grinding parameters, the real contact lengths calculated by temperature curves were about 1.5 - 2 times of the geometric length

Establishment of quantitative nested-PCR of Abelson interactor 1 transcript variant-11

Abelson interactor 1 (ABI1), which presents 18 Transcript Variants (TSV), plays an important role in CRC metastasis. Different ABI1-TSVs play synergistic or antagonistic roles in the same pathophysiological events. ABI1 Transcript Variant-11 (ABI1-TSV-11) functionally promotes lymph node metastasis of left-sided colorectal cancer (LsCC) and is an independent molecular marker to evaluate the prognosis of patients with LsCC. However, there is still lack of a quick and accurate method to detect the expression of ABI-TSV-11, distinguishing ABI1-TSV-11 from other 17 TSVs. To establish a rapid method specific for ABI1-TSV-11detection, we developed a quantitative nested-PCR method composed of pre-amplification regular PCR using ABI1 universal primer pair and the followed Real Time (RT)-qPCR using ABI1-TSV-11 specific primer pair spanning exon-exon junction. ABI1-TSV-11-overexpressed SW480 and LoVo cell lines were used to verify the quantitative nested-PCR assay, and the sequencing data was used to evaluate the accuracy of ABI1-TSV-11 quantitative nested-PCR assay. The detection limit was 5.24×104 copies/ml. ABI1-TSV-11 quantitative nested-PCR provides a new technical means for the detection of ABI1-TSV-11