The Impact of Belt and Road Initiative in Cultivating International Students in Chinese Universities

China’s Belt and Road Initiative (BRI), sometimes referred to as the “New Silk Road”, is one of the most significant projects ever to be carried out. Introduced by President Xi Jinping in 2013, the wide range of development and investment from East Asia to Europe, and Africa. BRI provides support for the education of international students in China. The countries along the Belt and Road ("Belt and Road Countries") have different endowments in resources and complementary economies and there is great potential for linkages and common development between them. China will strengthen cooperation with Belt and Road countries by strengthening cooperation on policies, infrastructure, trade, and finance and people-to-people connectivity with them.China has a rich and deep historical and cultural heritage, unique academic cultural traditions and a social custom of great respect for teachers and teaching; in such a favorable policy, China will attract even more foreign students. More foreign students will not only help "spread the word" about China's rich and profound culture, but also promote colleges and universities and improve the use of the Belt and Road as a platform through which the culture of messengers and international talents can better understand and appreciate its culture. However, there is still a deep gap between the demands and availability, mainly due to the quality of communication. This study expands the main problems in the cultivation of international students by identifying the kind of cultural exchange needed for The Belt and Road construction, and then makes suggestions to improve the quality of cultural exchange in terms of Belt and Road Initiative. Keywords: Cultivation Strategy; Chinese universities; international students; The Belt and Road Initiative DOI: 10.7176/EJBM/13-20-15 Publication date:October 31st 202

Investigation of Methane and Nitrous Oxide Greenhouse Gases Emissions on Wastewater Treatment Plant

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchive

Metal nanoparticle-induced micronuclei and oxidative DNA damage in mice

Several mechanisms regarding the adverse health effects of nanomaterials have been proposed. Among them, oxidative stress is considered to be one of the most important. Many in vitro studies have shown that nanoparticles generate reactive oxygen species, deplete endogenous antioxidants, alter mitochondrial function and produce oxidative damage in DNA. 8-Hydroxy-2'-deoxyguanosine is a major type of oxidative DNA damage, and is often analyzed as a marker of oxidative stress in human and animal studies. In this study, we focused on the in vivo toxicity of metal oxide and silver nanoparticles. In particular, we analyzed the induction of micronucleated reticulocyte formation and oxidative stress in mice treated with nanoparticles (CuO, Fe3O4, Fe2O3, TiO2, Ag). For the micronucleus assay, peripheral blood was collected from the tail at 0, 24, 48 and 72 h after an i.p. injection of nanoparticles. Following the administration of nanoparticles by i.p. injection to mice, the urinary 8-hydroxy-2'-deoxyguanosine levels were analyzed by the HPLC-ECD method, to monitor the oxidative stress. The levels of 8-hydroxy-2'-deoxyguanosine in liver DNA were also measured. The results showed increases in the reticulocyte micronuclei formation in all nanoparticle-treated groups and in the urinary 8-hydroxy-2'-deoxyguanosine levels. The 8-hydroxy-2'-deoxyguanosine levels in the liver DNA of the CuO-treated group increased in a dose-dependent manner. In conclusion, the metal nanoparticles caused genotoxicity, and oxidative stress may be responsible for the toxicity of these metal nanoparticles

Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos

A key challenge with procedure planning in instructional videos lies in how to handle a large decision space consisting of a multitude of action types that belong to various tasks. To understand real-world video content, an AI agent must proficiently discern these action types (e.g., pour milk, pour water, open lid, close lid, etc.) based on brief visual observation. Moreover, it must adeptly capture the intricate semantic relation of the action types and task goals, along with the variable action sequences. Recently, notable progress has been made via the integration of diffusion models and visual representation learning to address the challenge. However, existing models employ rudimentary mechanisms to utilize task information to manage the decision space. To overcome this limitation, we introduce a simple yet effective enhancement - a masked diffusion model. The introduced mask acts akin to a task-oriented attention filter, enabling the diffusion/denoising process to concentrate on a subset of action types. Furthermore, to bolster the accuracy of task classification, we harness more potent visual representation learning techniques. In particular, we learn a joint visual-text embedding, where a text embedding is generated by prompting a pre-trained vision-language model to focus on human actions. We evaluate the method on three public datasets and achieve state-of-the-art performance on multiple metrics. Code is available at https://github.com/ffzzy840304/Masked-PDPP.Comment: 7 pages (main text excluding references), 3 figures, 7 table

Early markers of angiogenesis and ischemia during bowel conduit neovascularization

Background Bowel flaps are a good and reliable method to restore the continuity of the aerodigestive tract. Radiated fields, contaminated recipient sites, or depleted recipient vessels may increase the risk for ischemic injury after transfer. During ischemic events, we believe that bowel conduits with serosa have a delayed neovascularization process at its new recipient site. We conducted an ischemia/reperfusion murine model to understand the difference among bowel conduits with and without serosa. Materials and Methods Two groups of rats were compared: control group (jejunal conduit with serosa) and a target group (jejunal conduit without serosa). These conduits were harvested from the peritoneal cavity and transferred into a subcutaneous pocket. After 72 hours of transfer and pedicle ligation, histological changes related to ischemia/reperfusion were assessed. In addition, tissue markers of angiogenesis (CD34), ischemia (lactate dehydrogenase [LDH]), and inflammation (interleukin [IL]-1β and IL-6) were analyzed. Results Two groups (n = 20) of male rats were analyzed. Histology showed intact jejunal mucosa in the target group. The control group showed decreased number of mucin, globet cells, decreased height, and fragmentation of villi with the absence of intestinal glands. Markers of angiogenesis (CD34) were higher in the target group. In addition, markers of ischemia (LDH) (p = 0.0045) and inflammation (IL-1b, p = 0.0008, and IL-6, p = 0.0008) were significantly lower in the target group as compared with the control group. Conclusions In circumstances in which the recipient site does not offer an adequate and healthy bed or a vascular insult occurs, bowel flaps with less amount of serosa may be able to neovascularize faster thereby increasing its chances of survival

Dichlorido[N-(2-pyridylmethyl­idene)benzene-1,4-diamine]zinc(II)

In the title compound, [ZnCl2(C12H11N3)], the ZnII atom is four-coordinated by two N atoms from an N-(2-pyridylmethyl­ene)benzene-1,4-diamine ligand and two Cl atoms in a distorted tetra­hedral geometry. In the crystal, the complex mol­ecules are connected by N—H⋯Cl and C—H⋯Cl hydrogen bonds into a two-dimensional layer structure parallel to (110)

3D-aware Image Generation and Editing with Multi-modal Conditions

3D-consistent image generation from a single 2D semantic label is an important and challenging research topic in computer graphics and computer vision. Although some related works have made great progress in this field, most of the existing methods suffer from poor disentanglement performance of shape and appearance, and lack multi-modal control. In this paper, we propose a novel end-to-end 3D-aware image generation and editing model incorporating multiple types of conditional inputs, including pure noise, text and reference image. On the one hand, we dive into the latent space of 3D Generative Adversarial Networks (GANs) and propose a novel disentanglement strategy to separate appearance features from shape features during the generation process. On the other hand, we propose a unified framework for flexible image generation and editing tasks with multi-modal conditions. Our method can generate diverse images with distinct noises, edit the attribute through a text description and conduct style transfer by giving a reference RGB image. Extensive experiments demonstrate that the proposed method outperforms alternative approaches both qualitatively and quantitatively on image generation and editing