Nodal Solutions for Some Second-Order Semipositone Integral Boundary Value Problems

Using bifurcation techniques, we first prove a global bifurcation theorem for nonlinear second-order semipositone integral boundary value problems. Then the existence and multiplicity of nodal solutions of the above problems are obtained. Finally, an example is worked out to illustrate our main results

An analysis on Bank Loan Loss provisioning behaviour in China

The aim of this study is to investigate the loan loss provisioning behavior of Chinese bank. It uses an unbalanced panel data of 118 banks with 336 observations over the period of 2012-2016, using the General Moment methodology and Stochastic Frontier analysis methodology. Based on previous studies on earning management, capital management and business cycle hypothesis, X-efficiency is included as a determinant and it proved to be an variable which can affect the LLP behavior. The result of this study strongly support the capital management hypothesis and showing a counter-cyclical provisioning practice in Chinese banking sector. However, we do not find significant evidence supporting the earning management hypothesis

Antitumor immunostimulatory activity of the traditional Chinese medicine polysaccharide on hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a prevalent malignancy, often associated with compromised immune function in affected patients. This can be attributed to the secretion of specific factors by liver cancer cells, which hinder the immune response and lead to a state of immune suppression. Polysaccharides derived from traditional Chinese medicine (TCM) are valuable constituents known for their immunomodulatory properties. This review aims to look into the immunomodulatory effects of TCM polysaccharides on HCC. The immunomodulatory effects of TCM polysaccharides are primarily manifested through the activation of effector T lymphocytes, dendritic cells, NK cells, and macrophages against hepatocellular carcinoma (HCC) both in vivo and in vitro settings. Furthermore, TCM polysaccharides have demonstrated remarkable adjuvant antitumor immunomodulatory effects on HCC in clinical settings. Therefore, the utilization of TCM polysaccharides holds promising potential for the development of novel therapeutic agents or adjuvants with advantageous immunomodulatory properties for HCC

Transfer Learning Applied to Stellar Light Curve Classification

Variability carries physical patterns and astronomical information of objects, and stellar light curve variations are essential to understand the stellar formation and evolution processes. The studies of variations in stellar photometry have the potential to expand the list of known stars, protostars, binary stars, and compact objects, which could shed more light on stages of stellar lifecycles. The progress in machine-learning techniques and applications has developed modern algorithms to detect and condense features from big data, which enables us to classify stellar light curves efficiently and effectively. We explore several deep-learning methods on variable star classifications. The sample of light curves is constructed with $\delta$ Scuti, $\gamma$ Doradus, RR Lyrae, eclipsing binaries, and hybrid variables from \textit{Kepler} observations. Several algorithms are applied to transform the light curves into images, continuous wavelet transform (CWT), Gramian angular fields, and recurrent plots. We also explore the representation ability of these algorithms. The processed images are fed to several deep-learning methods for image recognition, including VGG-19, GoogLeNet, Inception-v3, ResNet, SqueezeNet, and Xception architectures. The best transformation method is CWT, resulting in an average accuracy of 95.6\%. VGG-19 shows the highest average accuracy of 93.25\% among all architectures, while it shows the highest accuracy of 97.2\% under CWT transformation method. The prediction can reach $\sim1000$ light curves per second by using NVIDIA RTX 3090. Our results indicate that the combination of big data and deep learning opens a new path to classify light curves automatically.Comment: 30 pages, 19 figure

Effect of space flight factors on alfalfa seeds

To explore the effect of space flight factors on the early development of alfalfa seedling, dry seeds were placed onboard a satellite for a 15-day flight. After retrieval, the ultra structure of seed coat and the chemical content of seed were tested, followed by tests for germinate ability, seedling growth, and mitotic and chromosome aberrations. Results showed that space flight factors have both positive and negative effects on alfalfa seeds. Positive effects include: (1) A 6.2% increase in germinate potential and (2) an 80% decrease in the number of hard seed in flight seeds. Meanwhile, negative effects included a decrease of 3.0 and 33.2% in the index of germination and vigor of flight seeds, respectively, which may be partly due to the inhibition of cell mitotic (26% less than ground control) and root growth (29.0% less than ground control) after the space flight. Moreover, the DNA and Ca2+ content of alfalfa seeds increased after the space flight, while the reserve energy content of alfalfa seeds, such as saccharine and fatty acid, decreased after the space flight. Conclusively, space flight factors accelerate the germination process of alfalfa seeds but restrain the root from growing due to chromosomal damage and abnormal mitosis induced by cosmic radiation.Key words: Alfalfa, space flight factors, germination, chromosome aberration

Preparation and characterization of polypropylene/silica composite particle with interpenetrating network via hot emulsion sol–gel approach

AbstractA novel interpenetrating structural ultrafine polypropylene-silica nanocomposite particles were synthesized by a modified sol–gel approach in the presence of the melt polypropylene emulsion. A series of samples with different polypropylene content was prepared to investigate the unique characteristics of this original nanocomposite. The thermal gravimetric analysis and differential scanning calorimetry results showed that the nanocomposites had the interpenetrating structure and good thermal stability, and the crystallization behavior of polypropylene was confined by the silica matrix. The interpenetrating structure of nanocomposites was also suggested by the nitrogen adsorption–desorption measurement results. The scanning electronic microscope and transmission electron microscopy images indicated that the nanocomposites had irregular particle morphology. The nanoparticle tracking analysis results show that the mean size of the nanocomposites was around 160nm. According to the results obtained from different measurements, a reasonable formation mechanism was proposed