The role of RGD-rosette nanotubes in migration and apoptosis of bovine neutrophils

Bovine respiratory disease complex is the most common disease that causes sig-nificant economic loss, typically in feedlot cattle. Current treatment methods are focused on reducing inflammatory responses, control of airway reactivity and improvement of pulmonary functions without potential side effects. Neutrophils are the key contributors in acute lung inflammation. However, activated neutrophils live longer and cause exces-sive tissue damage upon migration into lungs. Therefore, modulation of their migration and lifespan are attractive approaches in treatment strategies of bovine respiratory dis-ease. Nanotechnology holds significant potential to design new compounds by our ability to manipulate at the nanoscale. Helical rosette nanotubes are a class of novel, biologi-cally inspired, water soluble and metal-free nanotubes. I used helical rosette nanotubes conjugated to arginine-glycine-aspartic acid (RGD-RNT) to study their effects on neu-trophil chemotaxis, cell signaling and apoptosis. Bovine neutrophils exposed to 5% RGD-RNT reduced their migration in response to fMLP (formyl-Methionyl-Leucyl-Phenylalanine), compared to the non-treated group (

THE FACTORS AFFECT CONSUMERS’ INTENTION TO PURCHASE ECO-FRIENDLY BAGS IN HAIPHONG CITY

This research focuses on understanding the factors that influence consumers' intention to purchase environmentally friendly bags in Hai Phong City. There are 5 factors proposed to be included in the research model. However, with the collected data from 328 Hai Phong consumers tested using the SMARTPLS software, the testing results showed that 3 factors positively influence the intention to purchase environmentally friendly bags, which the factor with the greatest influence is "Expectations for a good life for future generations" (KVCS) (0.394), followed by the factor "Personal Image" (HACN) (0.219) and finally the factor "Attitude towards eco-friendly bags" (TD) (0.150). The results of testing the factors "Green Marketing Programs" (MX) and "Environmental Understanding" (HBMT) are not statistically significant enough to influence the intention to purchase environmentally friendly bags of consumers in Hai Phong City. With the above testing results, the research team exchanged and discussed ideas to convey messages and encourage consumers to use environmentally friendly bags

INDIGENOUS KNOWLEDGE OF BEN TRE PROVINCE COASTAL RESIDENTS IN WEATHER FORECAST AND RESPONDING TO CLIMATE CHANGE

Indigenous knowledge is an important cultural element in the coastal community, which is constantly created, fostered, and transmitted between generations through production, application, and application. dealing with nature and social relations in the community. This article analyzes the correlation between Ben Tre marine knowledge and Central sea knowledge, presents knowledge related to weather forecasting and response to climate changes in the community of residents and fishermen in the coastal province of Ben Tre. The research results are the collected documents to prove the origin and characteristics of the indigenous knowledge in the coastal areas of Ben Tre province in adapting to the natural environment, contributing to the completion of studies on anthropology. sea ​​in Ben Tre province

Research on Urban Land Use Change in Ha Noi, Viet Nam Using Remote Sensing and GIS for Planning Oriented Work

Currently, 55% of the world’s population lives in urban areas, this proportion is expected to increase to 68% by 2050. In the next 30 years, a large amount of the world's population is predictably concentrated in urban areas in the developing world. Ha Noi is the capital and largest city of Viet Nam which has the average growth rate of approximately 3% per year. Urban development management has become an important issue in Viet Nam since the negative impacts of the urban sprawl on the environmental sustainability, life quality has been increasing as well. Hence, urban planning and management would be pivotal for creating the effective framework conditions for a sustainable development. The objective of our study is to explore the urban growth of Ha Noi using the Landsat images from 1975 to 2020 compared to the city planning. The volatility analysis information from classified urban land maps is considered supportive for urban management and planning oriented work. In addition, the remote sensing data analysis is a useful tool to support planners, managers for urban management and decision. This study results showed the urban land area in study site city has been growing about 3 times and the largest rate (4-6 times) for the Dong Anh, Tu Liem, Gia Lam and smallest rate (10-25%) for Ba Dinh and Hai Ba Trung districts

DART: Distribution Aware Retinal Transform for Event-based Cameras

We introduce a generic visual descriptor, termed as distribution aware retinal transform (DART), that encodes the structural context using log-polar grids for event cameras. The DART descriptor is applied to four different problems, namely object classification, tracking, detection and feature matching: (1) The DART features are directly employed as local descriptors in a bag-of-features classification framework and testing is carried out on four standard event-based object datasets (N-MNIST, MNIST-DVS, CIFAR10-DVS, NCaltech-101). (2) Extending the classification system, tracking is demonstrated using two key novelties: (i) For overcoming the low-sample problem for the one-shot learning of a binary classifier, statistical bootstrapping is leveraged with online learning; (ii) To achieve tracker robustness, the scale and rotation equivariance property of the DART descriptors is exploited for the one-shot learning. (3) To solve the long-term object tracking problem, an object detector is designed using the principle of cluster majority voting. The detection scheme is then combined with the tracker to result in a high intersection-over-union score with augmented ground truth annotations on the publicly available event camera dataset. (4) Finally, the event context encoded by DART greatly simplifies the feature correspondence problem, especially for spatio-temporal slices far apart in time, which has not been explicitly tackled in the event-based vision domain.Comment: 12 pages, revision submitted to TPAMI in Nov 201