OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue

Large multimodal language models (LMMs) have achieved significant success in general domains. However, due to the significant differences between medical images and text and general web content, the performance of LMMs in medical scenarios is limited. In ophthalmology, clinical diagnosis relies on multiple modalities of medical images, but unfortunately, multimodal ophthalmic large language models have not been explored to date. In this paper, we study and construct an ophthalmic large multimodal model. Firstly, we use fundus images as an entry point to build a disease assessment and diagnosis pipeline to achieve common ophthalmic disease diagnosis and lesion segmentation. Then, we establish a new ophthalmic multimodal instruction-following and dialogue fine-tuning dataset based on disease-related knowledge data and publicly available real-world medical dialogue. We introduce visual ability into the large language model to complete the ophthalmic large language and vision assistant (OphGLM). Our experimental results demonstrate that the OphGLM model performs exceptionally well, and it has the potential to revolutionize clinical applications in ophthalmology. The dataset, code, and models will be made publicly available at https://github.com/ML-AILab/OphGLM.Comment: OphGLM:The first ophthalmology large language-and-vision assistant based on instructions and dialogu

Research Progress of Spatio-Temporal Interpolation in the Field of Public Health

Abstract The spatio-temporal interpolation method aims to use the existing spatio-temporal data to estimate missing values and to finely express the spatiotemporal distribution of the research content. The application of the spatiotemporal interpolation method in the field of public health is of great significance to the study of the spatiotemporal distribution and prevention of diseases. This article first introduces the principle of the current main spatiotemporal interpolation methods (spatiotemporal kriging, Bayesian maximum entropy, and regression-based methods) and their applications in the field of public health. Then analyze the advantages and disadvantages of different spatio-temporal interpolation methods. Finally, in view of the shortcomings of the existing spatio-temporal interpolation methods, the future development direction is proposed in order to enrich disease risk prediction methods.</jats:p

Research on Ecological Environmental Carrying Capacity in Yellow River Delta

AbstractThe Yellow River Delta was selected as study area in this paper. Based on a comprehensive analysis of environmental capacity theory, environmental carrying capacity was studied using ecological footprint model, combining with the economic and social data of the Yellow River Delta from 2001-2008. The results showed that the ecological footprint per capita had increased two times from 2001-2008, which was from 0.1885 hm2 in 2001 to 0.4639 hm2 in 2008. The diversity of ecological footprint had changed slightly, and the ratio of biotic resources requirement was largest among all the other types. The development ability of ecosystem had a little improved. Environmental carrying capacity of the Yellow River Delta had increased. But compared to the increasing of ecological footprint, the increasing degree was not notable, and the ecological deficit increased obviously. The unsustainable development has already appeared from the analysis of ecological footprint index. Finally, some countermeasures were advanced in order to improve the environment situation of the Yellow River Delta, such as adjusting industrial structure through developing circulate economy vigorously, saving mine resources and protecting pasture environment through strengthening management, controlling the population and advocating sustainable life style

Comparison of Microstructure and Mechanical Properties of Ultra-Narrow Gap Metal Active Gas Arc Welded and Narrow Gap Submerged Arc Welded Q235A Low Carbon Steel

The 18 mm thick Q235A low carbon steel plates were welded via the ultra-narrow gap metal active gas arc welding (ultra-NGMAGW) and narrow gap submerged arc welding (NGSAW), and the microstructure and mechanical properties of the welded joints&rsquo; area were characterized. The results showed that there is acicular ferrite (AF) in the weld zone of the joint obtained via the ultra-NGMAGW. The AF grains are fine and have a great difference in growth direction, resulting in high local dislocation density. However, there is no AF in the welded joint obtained via the NGSAW. Using numerical simulation analysis of the temperature field distribution and the thermal cycle curve in the welding process of the ultra-NGMAGW, it was found that the mechanism of microstructure evolution is that during the welding process of the ultra-NGMAGW, the heat input is low, the cooling rate is quick, and the residence time in the high temperature region is short. Therefore, pearlite with coarse grains is basically not formed. AF nucleates in different directions with inclusions as the core. The tensile strength of the weld joint obtained via the ultra-NGMAGW is 643 MPa, which corresponds to 139% of that of the base metal, and 132% of that obtained via the NGSAW. The ultra-NGMAGW joints exhibited better tensile strength and higher microhardness than the NGSAW joints, which is mainly due to the existence of AF

Research on Structural Design of an Isolated High-Rise Building with Enlarged Base and Multiple Tower Layer in High-Intensity Area

In the high intensity areas, the application of interlayer spacing technology can achieve the unity of quality and seismic performance of high-rise buildings with enlarged base and multiple tower layers. Through the comparison and analysis of the structural schemes of an enlarged base multiple tower-layer high-rise building, the ultimate seismic isolation scheme was adopted, and its seismic response and seismic performance were analyzed and studied. The results show that the overall seismic isolation effect of the story isolation technique is good, which can greatly reduce the seismic response, and is an effective means to improve the seismic safety of the structure. Considering the structural characteristics of the project, the improvement of the economy and the quality of the building, the use of story isolation technique in the enlarged base multiple tower-layer structure in the high-intensity region is an optimal scheme. Finally, several key technical issues such as the combined seismic isolation scheme of the enlarged base story isolation technique and the additional bending moment of the isolator and the tensile device of the isolator were discussed, which can provide some references for similar engineering practices.</jats:p

Genome-Wide Identification and Comparison of Cysteine Proteases in the Pollen Coat and Other Tissues in Maize

Cysteine proteases, belonging to the C1-papain family, play a major role in plant growth and development, senescence, and immunity. There is evidence to suggest that pollen cysteine protease (CP) (ZmCP03) is involved in regulating the anther development and pollen formation in maize. However, there is no report on the genome-wide identification and comparison of CPs in the pollen coat and other tissues in maize. In this study, a total of 38 homologous genes of ZmCP03 in maize were identified. Subsequently, protein motifs, conserved domains, gene structures, and duplication patterns of 39 CPs are analyzed to explore their evolutionary relationship and potential functions. The cis-elements were identified in the upstream sequence of 39 CPs, especially those that are related to regulating growth and development and responding to environmental stresses and hormones. The expression patterns of these genes displayed remarked difference at a tissue or organ level in maize based on the available transcriptome data in the public database. Quantitative reverse transcription PCR (RT-qPCR) analysis showed that ZmCP03 was preferably expressed at a high level in maize pollen. Analyses by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and immunoblot, immunofluorescence and immunogold electron microscopy all validated the cellular localization of ZmCP03 in both the pollen coat and pollen cytoplasm. In addition, 142 CP genes from Arabidopsis (Arabidopsis thaliana), rice (Oryza sativa) and cotton (Gossypium hirsutum), together with 39 maize CPs, were retrieved to analyze their evolution by comparing with orthologous genes. The results suggested that ZmCP03 was relatively conservative and stable during evolution. This study may provide a referential evidence on the function of ZmCP03 in pollen development and germination in maize