Fuzzy Adaptive Shift Schedule of Tractor Subjected to Random Load

In this paper, the low frequency random load of a tractor is presented. Controlled by a theoretical three-parameter shift schedule, the random load would frequently trigger the random shift. Simultaneously, the driving force of the tractor should be consistent prior to and following this shift. Additionally, the higher traction efficiency and improved load utilization rate should be ensured by a choice of a transmission ratio of the tractor power shift transmission. The shift schedule was utilized for the aforementioned problems solution. An innovative method is presented for theoretical shift schedule modification by the fuzzy algorithm, based on the random load standard deviation and the alteration rate of both steady state values of the load and of the throttle position. The simulation results demonstrated that the modified shift schedule could discover the running state of the tractor. By shielding the random shift judgment caused by the random load, the stability of the tractor was ensured. When the shift was required, the schedule could rapidly respond, whereas the tractor driving force did not sustain a sudden alteration. The schedule could also automatically select and maintain the transmission ratio with higher traction efficiency

Calcium–magnesium–alumina–silicate (CMAS) resistance of LaPO4 thermal barrier coatings

Nanostructured LaPO4 thermal barrier coatings (TBCs) were prepared by air plasma spraying, and their resistance to calcium–magnesium–alumina–silicate (CMAS) attack at 1250 °C, 1300 °C and 1350 °C was investigated. The reaction products were characterized by X-ray diffraction, scanning electron microscopy, energy dispersive spectroscopy and transmission electron microscopy. Exposed to CMAS attack for 0.5 h, a continuous dense reaction layer formed, which was mainly composed of P–Si apatite based on Ca2+xLa8-x(PO4)x(SiO4)6-xO2, anorthite and spinel phases. Beneath the reaction layer, little evidence of CMAS trace could be found. With the increase in temperature and heat treatment duration, the reaction layer became thick, while penetration depth of the molten CMAS changed slightly. Due to the formation of a reaction layer suppressing CMAS further infiltration, LaPO4 TBCs are highly resistant to CMAS attack

Recent Advances in Morphological Cell Image Analysis

This paper summarizes the recent advances in image processing methods for morphological cell analysis. The topic of morphological analysis has received much attention with the increasing demands in both bioinformatics and biomedical applications. Among many factors that affect the diagnosis of a disease, morphological cell analysis and statistics have made great contributions to results and effects for a doctor. Morphological cell analysis finds the cellar shape, cellar regularity, classification, statistics, diagnosis, and so forth. In the last 20 years, about 1000 publications have reported the use of morphological cell analysis in biomedical research. Relevant solutions encompass a rather wide application area, such as cell clumps segmentation, morphological characteristics extraction, 3D reconstruction, abnormal cells identification, and statistical analysis. These reports are summarized in this paper to enable easy referral to suitable methods for practical solutions. Representative contributions and future research trends are also addressed

Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey

Multi-task learning has been widely applied in computational vision, natural language processing and other fields, which has achieved well performance. In recent years, a lot of work about multi-task learning recommender system has been yielded, but there is no previous literature to summarize these works. To bridge this gap, we provide a systematic literature survey about multi-task recommender systems, aiming to help researchers and practitioners quickly understand the current progress in this direction. In this survey, we first introduce the background and the motivation of the multi-task learning-based recommender systems. Then we provide a taxonomy of multi-task learning-based recommendation methods according to the different stages of multi-task learning techniques, which including task relationship discovery, model architecture and optimization strategy. Finally, we raise discussions on the application and promising future directions in this area

Integration of ideological education into professional courses for international students in China

In this paper, we provide the formal definition about the so called “Ideological Curriculum (IC)” in the universities of China, namely, integrating ideological education in the professional courses and curriculum. The significance, current trend and situation of IC are introduced. The different of ideological education between international and local students are analysed. With a specific case, we further introduce how to integrate the ideological education into a professional course for international students in China

Efficient Multi-Scale Attention Module with Cross-Spatial Learning

Remarkable effectiveness of the channel or spatial attention mechanisms for producing more discernible feature representation are illustrated in various computer vision tasks. However, modeling the cross-channel relationships with channel dimensionality reduction may bring side effect in extracting deep visual representations. In this paper, a novel efficient multi-scale attention (EMA) module is proposed. Focusing on retaining the information on per channel and decreasing the computational overhead, we reshape the partly channels into the batch dimensions and group the channel dimensions into multiple sub-features which make the spatial semantic features well-distributed inside each feature group. Specifically, apart from encoding the global information to re-calibrate the channel-wise weight in each parallel branch, the output features of the two parallel branches are further aggregated by a cross-dimension interaction for capturing pixel-level pairwise relationship. We conduct extensive ablation studies and experiments on image classification and object detection tasks with popular benchmarks (e.g., CIFAR-100, ImageNet-1k, MS COCO and VisDrone2019) for evaluating its performance.Comment: Accepted to ICASSP202

Export potential of Russian pharmaceutical companies in the emerging regional clusters

The article provides an analysis of comparative importance of the company export potential growth factors in the emerging pharmaceutical clusters of the European part of Russia. The classification and assessment of export potential factors in terms of the elements of such potential (production, financial, labor, marketing potential) allowed identifying a strong link between cluster and regional factor groups and results of export activities. The goal of this paper is to propose to pharmaceutical companies involved in foreign trade activities a set of measures based on the test of a scientific hypothesis to improve their export potential. The authors have proposed and tested the hypothesis that the cumulative effect of these factors leads to increased export opportunities for the pharmaceutical cluster and promotes the effective integration of the region into the global economy. The methodological base of the research was provided by the method of geoeconomic analysis of the regional economy combined with the method of econometric modeling involving the use of mathematical statistics. After studying five Russian pharmaceutical clusters, including Belgorod, Kaluga, Moscow, Oryol, Yaroslavl clusters, the authors identified a causal link between the company export potential growth and the factors of competitiveness and cluster origin (interacting business chains, relationship and interoperability of functions, compact location in the region). The authors elaborated a set of measures to maximize the competitive advantages of cluster organization for export activities of pharmaceutical companies. The conclusions and recommendations of the study are intended for pharmaceutical companies and the authorities of regions that implement the concept of cluster development. To achieve sustainable growth of export potential and development objectives, Russian export-oriented companies should pay more attention to implementing the marketing and organizational innovations, competent optimization of commercial expenses within the cluster, and development of logistics chains for drug deliveries from the laboratory to the final consumers

Effects of APP/SiO2 polyelectrolyte composites on wood-plastic composite

This paper was aimed to evaluate process of APP/SiO2, which used Nano-crystalline cellulose (NCC) modified ammonium polyphosphate (APP) as anionic polyelectrolyte (a-APP), and cationic polyethyleneimine (PEI) modified Nano–SiO2 as cationic polyelectrolyte (c-SiO2). The flame retardant system was built due to the reaction of a-APP and c-SiO2. Polyelectrolyte composite of a-APP/c-SiO2 were then assembled on the surface of wood powder and HDPE composites. The effect of polyelectrolytes on wood-plastic composites (WPC) were investigated and the results showed that the flame-retardant property of WPC treated by polyelectrolyte was the best. The average heat release rate was 152.8kW/m2, the peak heat release rate was 352.2kW/m2, the total heat release was 108.5kW/m2, the limit oxygen index reached the maximum was 27.5%, compared with the WPC treated by APP, the elongation at break increased by 60.4%. After anionic and cationic polyelectrolyte treatment, making anionized a-APP and cationized c-SiO2 due to the charge interaction, in the WPC combustion process to form a dense, uniform WPC carbon layer, thereby reducing the heat transfer to the material inside, and increasing the flame retardancy of WPC composites

EFFECTS OF VIETNAMESE SOPHORA ROOT ON GROWTH, ADHESION, INVASION AND MOTILITY OF MELANOMA CELLS

Background: Vietnamese Sophora Root mainly contains active constituents such as alkaloids, and it has anti-tumour, antibacterial, and anti-inflammatory effects. The objective of the paper was to study the effects of Vietnamese Sophora Root on growth, adhesion, invasion and motility of mouse melanoma B16BL6 cells, and to preliminarily explore its mechanism of action. Materials and Methods: MTT assay was used to detect the effect of Vietnamese Sophora Root aqueous extract on B16BL6 cell proliferation. Cell adhesion assay, reconstituted basement membrane invasion assay and chemotactic motility assay were used to observe the effects of Vietnamese Sophora Root aqueous extract on adhesion, invasion and motility of B16BL6 cells. Results: Different concentrations of Vietnamese Sophora Root aqueous extracts had different degrees of inhibitory effects on B16BL6 proliferation. With the decrease of concentration, the proliferation inhibitory effect decreased and even turned to promoting effect. The extract significantly inhibited the adhesion of B16BL6 cells to the basement membrane component LN, and had a significant effect on both the invasive and migratory capacities of B16BL6 cells through the basement membrane. Conclusion: We concluded that the aqueous extract of Vietnamese Sophora Root can inhibit the proliferation of melanoma cells, as well as their adhesion and movement

Recent advances in therapeutic applications of neutralizing antibodies for virus infections : an overview

Antibodies are considered as an excellent foundation to neutralize pathogens and as highly specific therapeutic agents. Antibodies are generated in response to a vaccine but little use as immunotherapy to combat virus infections. A new generation of broadly cross-reactive and highly potent antibodies has led to a unique chance for them to be used as a medical intervention. Neutralizing antibodies (monoclonal and polyclonal antibodies) are desirable for pharmaceutical products because of their ability to target specific epitopes with their variable domains by precise neutralization mechanisms. The isolation of neutralizing antiviral antibodies has been achieved by Phage displayed antibody libraries, transgenic mice, B cell approaches, and hybridoma technology. Antibody engineering technologies have led to efficacy improvements, to further boost antibody in vivo activities. “Although neutralizing antiviral antibodies have some limitations that hinder their full development as therapeutic agents, the potential for prevention and treatment of infections, including a range of viruses (HIV, Ebola, MERS-COV, CHIKV, SARS-CoV, and SARS-CoV2), are being actively pursued in human clinical trials.”