Children have an innate curiosity and desire to explore. Curiosity, easy to ask, good exploration is the age characteristics of children, inquiry is not only the goal of children's scientific learning, but also the way of children's scientific learning. Phenomenon of nature and the real things in life and also children explore the vivid content in the mixed age club, so when mixed age club activities from the Angle of view of the child, with various kinds of way to carry out exploratory area activities, around the child's interest, with the advanced type questions as clues of mixed age club inquiry activity, inspire children's bold, independent to participate in class activities, Really become a small host of activities.

Preserving roads involves regularly evaluating government policy through advanced assessments using vehicles with specialized capabilities and high-resolution scanning technology. However, the cost is often not affordable due to a limited budget. Road surface surveys are highly expected to use low-cost tools and methods capable of being carried out comprehensively. This research aims to create a road damage detection application system by identifying and qualifying precisely the type of damage that occurs using a single CNN to detect objects in real time. Especially for the type of pothole, further analysis is to measure the volume or dimensions of the hole with a LiDAR smartphone. The study area is 38 province’s representative area in Indonesia. This research resulted in the iRodd (intelligent-road damage detection) for detection and classification per type of road damage in real-time object detection. Especially for the type of pothole damage, further analysis is carried out to obtain a damage volume calculation model and 3D visualization. The resulting iRodd model contributes in terms of completion (analyzing the parameters needed to be related to the road damage detection process), accuracy (precision), reliability (the level of reliability has high precision and is still within the limits of cost-effective), correct prediction (four-fifths of all positive objects that should be identified), efficient (object detection models strike a good balance between being able to recognize objects with high precision and being able to capture most objects that would otherwise be detected-high sensitivity), meanwhile, in the calculation of pothole volume, where the precision level is established according to the volume error value, comparing the derived data to the reference data with an average error of 5.35% with an RMSE value of 6.47 mm. The advanced iRodd model with LiDAR smartphone devices can present visualization and precision in efficiently calculating the volume of asphalt damage (potholes).

Extensive reading has enjoyed the increasing popularity from L2 educators as a potentially effective form of L2 reading instruction. However, many researchers tend to ignore the importance of selection of material. The paper is an attempt to explore the appropriate criteria of qualified graded readers, which can be helpful for English teachers and learners in ER program.

The construction of practical education bases in the construction of medical colleges in vocational colleges is an important way to meet the teaching requirements of medical courses and reflect the comprehensive practical education ability of vocational colleges. For medical students in vocational colleges, the improvement of practical ability is also an important way to continuously enhance and improve their professional and technical abilities. This article analyzes the construction of relevant training bases in the field of medical imaging, and explores the scientific methods for teaching and constructing traditional Chinese medicine imaging professional bases in vocational colleges through four typical paths: basic construction of practice bases, effective management of practice bases, targeted practical abilities, and professional skill training for cultivating teacher teams.

The study examines the economic and social impacts of a Southeast Asian multinational company operating in the northwestern region of Hungary, with a particular focus on the local labor market and community responses. The research aims to explore the company’s location choice motivations, its integration process into the local economy, and its cooperation with the local government and communities. The research provides a comprehensive picture of the company’s impacts by employing qualitative and quantitative methodologies—including management interviews and household surveys. The findings indicate that the company has significantly increased employment, enhanced infrastructure, and promoted cultural diversity. However, challenges related to cultural integration persist. The study offers valuable guidance for policymakers and businesses on leveraging the economic benefits of foreign investments and fostering cultural cooperation. Future research could delve deeper into the long-term socio-economic impacts.

The comprehensiveness, practicality, and intersection of science education major determine the necessity of constructing professional laboratories. This article explores the necessity of constructing a virtual simulation laboratory for science education in the context of the "new humanities", which meets the goals of cultivating new talents, the basic requirements of the new humanities construction, and the high-quality development requirements of higher education. In this context, considerations and prospects have been put forward for the construction of virtual laboratories, building virtual simulation laboratories that are in line with the new liberal arts background, modernization, and subject characteristics.