(Section A: Planning Strategies and Design Concepts)

Spatial planning is a term with ambiguity because there is no generally agreed definition (Kai, 2007). “Spatial planning system” is still a complex topic strongly related to the context of administrative systems. As long as there are urbanization and development around the world, those topics will stay important along with the changing socio-economic situations. Right now there is a common phenomenon in many countries/regions where numerous layers of spatial plans are formulated by different stakeholders or governing bodies. Therefore, to avoid spatial policies overlapping or contradicting with each other, some countries/regions are promoting new ways to coordinate spatial plans, making integral spatial policy frameworks. Thus, this special issue focuses on several reviews of spatial planning system reform, as well as some relevant case studies

(Section A: Planning Strategies and Design Concepts)

Studies have shown that the city size distribution is in line with the power law distribution. By testing the city size distribution of cities in certain administrative levels in sub-national administrative areas in China, it was found that compared with power law distribution, the triangle law distribution put forward can better fit the city size distribution characteristics. The triangle law means the city size distribution structure is shaped like the city administrative division structure. That is, cities of the highest administrative level have far bigger size than other cities, and the city size distribution law of cities in the next administrative level is in accordance with the normal distribution. The triangle law hypothesis is put forward by the analysis of city size growth logic in China, and the institutional influence was considered as the main influencing factor. The results show that the city administrative system has probably shed light on the city size distribution. Further analysis shows the triangle law is more applicable in areas with higher population and fewer next levelled cities. Lastly, by new parameters extracted from the triangle law, the city size distribution characteristics of different regions in China are analysed

Research progress in diagnosis and differential diagnosis of severe fever with thrombocytopenia syndrome and hemorrhagic fever with renal syndrome

Severe fever with thrombocytopenia syndrome (SFTS) and hemorrhagic fever with renal syndrome (HFRS) are infectious diseases. The epidemic of these two diseases can seriously affect human life and health, and is also a public health problem currently facing in the world. Due to the uneven level of medical development around the world, many doctors have insufficient understanding of these two diseases, which is likely to lead to missed diagnosis or misdiagnosis, and the patients are not treated correctly, which leads to aggravation of the disease and affects their prognosis. Clinically, the diagnosis of SFTS and HFRS mainly depends on the results of pathogenic examination and serological examination, but many medical institutions have not carried out these two examinations. Therefore, if epidemiological and clinical characteristics can be used to diagnose and differentiate these two diseases, it will help guide clinical practice. This paper reviews the research progress in the diagnosis and differential diagnosis of SFTS and HFRS at home and abroad in recent years

Analysis on the Symbolic Effect of Calligraphy Landscape of Tourism Scenic Spots: The Case of China

Calligraphy landscape is a kind of special cultural landscape and symbols with Chinese characteristics, and has become an important type of tourism landscape in scenic spots. This paper takes calligraphy landscape of two famous tourism scenic spots in Guilin city of China as a study case, measures its symbolic effect with 5-point Likert scale. The result shows that calligraphy landscape receives high cognition and appreciation interest from tourists. Calligraphy landscape has certain symbolic effect on tourists in the dimensions of calligraphy appreciation, cultural symbol and landscape metaphor. Significant differences of symbolic effect of calligraphy landscape exist in the dimension of calligraphy appreciation, but not in the dimensions of cultural symbol and landscape metaphor. Symbolic effect research of calligraphy landscape provides theoretical guidance to revealing the relationship among people’s sense of place, environmental behavior and calligraphy landscape. The study has practical reference significance for designing calligraphy landscape and creating cultural atmosphere in tourism scenic spot

The fabrication and properties of magnetorheological elastomers employing bio-inspired dopamine modified carbonyl iron particles

To obtain magnetorheological elastomers (MREs) with improved mechanical properties and exhibiting an enhanced magnetorheological (MR) effect, bio-inspired dopamine modification has been used to improve the functionality at the surface of carbonyl iron (CI) particles. Various techniques including x-ray photoelectron spectroscopy (XPS), scanning electron microscopy (SEM) and transmission electron microscopy (TEM) were used to confirm that a polydopamine (PDA) layer of about 27.5 nm had been successfully deposited on the surface of the carbonyl iron particles prior to their inclusion in the MRE composites. The magnetic properties of PDA modified CI particles were shown to be almost the same as those for untreated CI particles. With the introduction of a PDA layer to the surfaces of the particles, both the tensile strength and the elongation at break of the MREs were improved. Furthermore, the MRE composites filled with PDA-coated CI particles exhibited lower zero-field storage moduli but higher magnetic field induced storage moduli when magnetization saturation was reached. The absolute and relative MR effect for the MREs reached 0.68 ± 0.002 MPa and 294% respectively, which were higher than those of MREs with pristine CI particles whose absolute and relative MR effect were 0.57 ± 0.02 MPa and 187% respectively. The findings of this work provide insights into enhanced fabrication of MREs with both improved mechanical properties and magneto-induced performance

GenRec: Large Language Model for Generative Recommendation

In recent years, large language models (LLM) have emerged as powerful tools for diverse natural language processing tasks. However, their potential for recommender systems under the generative recommendation paradigm remains relatively unexplored. This paper presents an innovative approach to recommendation systems using large language models (LLMs) based on text data. In this paper, we present a novel LLM for generative recommendation (GenRec) that utilized the expressive power of LLM to directly generate the target item to recommend, rather than calculating ranking score for each candidate item one by one as in traditional discriminative recommendation. GenRec uses LLM's understanding ability to interpret context, learn user preferences, and generate relevant recommendation. Our proposed approach leverages the vast knowledge encoded in large language models to accomplish recommendation tasks. We first we formulate specialized prompts to enhance the ability of LLM to comprehend recommendation tasks. Subsequently, we use these prompts to fine-tune the LLaMA backbone LLM on a dataset of user-item interactions, represented by textual data, to capture user preferences and item characteristics. Our research underscores the potential of LLM-based generative recommendation in revolutionizing the domain of recommendation systems and offers a foundational framework for future explorations in this field. We conduct extensive experiments on benchmark datasets, and the experiments shows that our GenRec has significant better results on large dataset