Puppetry is one of the traditional folk art forms with a long history in China.Puppetry is one of the traditional folk art forms with a long history in China. After it was transmitted to the Gaozhou Prefecture of Guangdong by the Fujian Zhangzhou Puppet Show during the Wanli period of the Ming Dynasty, it gradually took root in the local culture of Guangdong, and the Gaozhou Puppet Theatre was born as a result. Under the radiant influence of Cantonese Opera, the number one theatre in Lingnan, in the western part of Guangdong, the Gaozhou Puppet Theatre has been passed down through the generations, and has used the Cantonese Opera cantata, an element of Cantonese Opera that is the essence of the art, in its unique puppetry accent. Nowadays, when many "non-heritage" cultures are facing difficulties in inheritance and development, it is especially crucial for the puppet theatre of Gaozhou to be able to use the elements of Cantonese Opera's singing in the new era, so as to make Gaozhou Puppet Theatre a new life and make the public appreciate the art again by incorporating the elements of Cantonese Opera's singing.

To save patients’ lives, it is important to go for an early diagnosis of intracranial hemorrhage (ICH). For diagnosing ICH, the widely used method is non-contrast computed tomography (NCCT). It has fast acquisition and availability in medical emergency facilities. To predict hematoma progression and mortality, it is important to estimate the volume of intracranial hemorrhage. Radiologists can manually delineate the ICH region to estimate the hematoma volume. This process takes time and undergoes inter-rater variability. In this research paper, we develop and discuss a fine segmentation model and a coarse model for intracranial hemorrhage segmentations. Basically, two different models are discussed for intracranial hemorrhage segmentation. We trained a 2DDensNet in the first model for coarse segmentation and cascaded the coarse segmentation mask output in the fine segmentation model along with input training samples. A nnUNet model is trained in the second fine stage and will use the segmentation labels of the coarse model with true labels for intracranial hemorrhage segmentation. An optimal performance for intracranial hemorrhage segmentation solution is obtained.

According to the World Health Organization (WHO), breast cancer is among the most common cancers worldwide. Most of the anticancer agents have been showing a variety of side effects. Recently, bacterial proteins have been investigated as promising anticancer agents. Azurin is a bacterial cupredoxin protein secreted from Pseudomonas aeruginosa and has been reported as a potent multi-targeting anticancer agent, which makes it an appropriate candidate for drug delivery. Azurin may be delivered to cancer cells using different carriers like polymeric micro and nanoparticles. In the present study, azurin was extracted from the bacterial host and loaded into chitosan particles. Then its effect on MCF-7 cell line was investigated. Chitosan-azurin particles were made using the ion gelation method. Results showed that chitosan-azurin particles are about 200 nm, and the loading of the protein in particles did not affect its integrity. The MTT assay showed a significant reduction in cell viability in azurin and chitosan-azurin-treated cells. The toxicity level after 5 days was 63.78% and 82.53% for free azurin and chitosan-azurin-treated cells, respectively. It seems using an appropriate carrier system for anticancer proteins like azurin is a promising tool for developing low side effect anticancer agents.

Currently, important efforts are being made to improve governability and governance by combining the monopoly of state decisions with the collaboration of diverse actors in public practice. Based on the above, the purpose of this article is to analyze the evolution of conceptual approaches to both terms over the last 23 years, examining scientific production by author authors, journals, and countries. The methodology was based on a bibliometric analysis: First, the WoS and Scopus databases were searched. Subsequently, scientometric techniques and the Science Tree methodology were used to identify patterns, structures, and trends, to understand the progress and behavior of scientific production, and to measure the quantity and quality of research that has addressed these issues from different perspectives. This study examined governability and governance publications and their annual citations to assess their impact and analyzed the total output of both datasets to identify similarities and differences in governability and governance research. The findings reveal that the number of publications and citations in this field is increasing, with the United States being the most academically influential country and the journal Marine Policy being the most prominent in ranking. These data provide key information for decision-makers, researchers, and academics for future debate and discussion toward operationalizing the concepts at the practical level of action, management, and the functioning of government structures.

Zero-valent iron is a moderately reducing reagent that is both non-toxic and affordable. In the present work, iron nanoparticles were synthesized using bitter guard leaf extract (Momordica charantia L.) (BGL-Fe NP). Using leaf samples from bitter protectant extract, iron nanoparticles were synthesized with secondary metabolites such as flavonoids and polyphenols acting as capping and reducing agents. Polyphenols reduce Fe²⁺/Fe³⁺ to nanovalent iron or iron nanoparticles. Iron nanoparticles were synthesized by reducing iron chloride as a precursor with bitter protective leaf extract in an alkaline environment. The obtained BGL-Fe NPs were calcined for 4 h at various temperatures of 400 °C, 500 °C, and 600 °C. The obtained samples were coded as BGL-Fe NPs-4, BGL-Fe NPs-5, and BGL-Fe NPs-6, respectively. The synthesized BGL-Fe NPs were systematically characterized by XRD, SEM, FTIR, UV-Vis and TG-DTA analysis. The obtained BGL-Fe NPs were then used as an adsorbent to remove the aqueous solution of basic methylene blue (MB) dye. MB concentration was monitored using UV-Vis spectroscopy.

Bioactive materials are those that cause a number of interactions at the biomaterial-living tissue inter-face that result in the evolution of a mechanically strong association between them. For this reason, an implantable material’s bioactive behavior is highly advantageous. Silicate glasses are encouraged to be used as bioactive glasses due to their great biocompatibility and beneficial biological effects. The sol-gel method is the most effective for preparing silicate glasses because it increases the material’s bioactivity by creating pores. Glass densities are altered by the internal network connectivity between network formers and network modifiers. The increase in the composition of alkali or alkaline oxides reduces the number of bridging oxygens and increases the number of non-bridging oxygens by retaining the overall charge neutrality between the alkali or alkaline cation and oxygen anion. Higher drying temperatures increase pore densities, while the melt-quenching approach encourages the creation of higher density glasses. Band assignments for the BAG structure can be explained in detail using Fourier Transform Infrared (FTIR) and Raman spectroscopic investigations. Raman spectroscopy makes it simple to measure the concentration of the non-bridging oxygens in the silica matrix.