To assist in reviewing the standardization of sentencing in cases and determining whether a sentence is disproportionately light, reasonable, or disproportionately heavy, two datasets for predicting sentencing standardization are constructed, and a multi-source knowledge aggregation-based model for sentencing standardization prediction is proposed. The model employs a large language model to represent criminal cases as knowledge graphs, from which similar cases are generated. To integrate knowledge from criminal law and similar cases, a multi-source attention module is designed in the model. The multi-source features generated by this module, together with case representations, are used for sentencing standardization prediction. Comparative experimental results on sentencing standardization prediction show that the F1-score of the proposed model is higher than that of other comparative models. Ablation experiments and case analyses demonstrate that criminal law and similar cases play an important auxiliary role in sentencing standardization prediction. 

Through the development of plant culture and imaging system, a low-cost plant living fluorescence imaging system was developed. The system adopts a double-layer box structure design, which is divided into two parts: the constant culture system and the fluorescence recording system. It can provide the necessary life support function for plant growth, and can also obtain the key images in the process of plant growth in real time, including the time-space mode of monitoring the fluorescence signal in the development of the transgenic plant. The EGFP transgenic tobacco and Arabidopsis were successfully cultured and observed in real time using this system. The low cost greatly expanded the application of the system in experimental teaching, and also laid a foundation for the further study of the observation and detection of follow-up life activities.

The existing phytohormones measurement methods are relatively cumbersome and difficult to measure the concentration of intracellular hormones. The paper describes whole-mount “immunolocalization” technique for the overall distribution of auxin (IAA) during lateral root and flower development in Arabidopsis. Based on the specific reaction of the antibody to the antigen, this method binds the antibody to the secondary antibody linked to enzymes, fluorescent molecules, etc. to detect the auxin in tissues or organs by light and electron microscopy, realizing the overall in situ localization of auxin (whole mount in situ localization of Hormone, WISIH). This method is not only suitable for growth hormone IAA, but also for rapid and reliable tissue or organ localization of hormones such as abscisic acid (ABA). The protocol is usually done within three to four days. It is a highly sensitive, specific and simple hormone in situ localization method, and is suitable for various plant tender organs and tissues.

Taking rice SUPERWOMAN1 (SPW1)/OsMADS16 gene as an example, by optimizing the preparation of hybridization probes, material immobilization, dissociation, permeabilization and color development, the SPW1/OsMADS16 gene expression patterns with high specificity but low backgrounds were obtained. The procedure of whole mount in situ hybridization (WISH) technology for rice is simple and inexpensive, and it can be performed simultaneously with several species in the centrifuge tube. The main experimental steps include probe preparation, material immobilization and dissociation, hybridization reaction, post-hybridization treatment and detection and color development. The proposed method provides a technological basement for a protentional high throughput detection of spatiotemporal gene expression patterns and functional analysis in rice.

 The response relationship between total pollution emission reduction and water quality improvement from 2011 to 2015 was analyzed by data envelopment analysis (DEA). The results show that the response relationship is different in time and space. The response relationship was further divided into four different models, and suggestions about total pollution emission controlling and water environment prevention were made under different models, in order to make total pollution emission controlling play a better role in water quality improvement. The result should provide scientific basis for precise pollution control in accordance with the water environment quality objectives of the basin.

The simulation of nitrogen (N) and phosphorus (P) pollution load structure in Bali Lake basin was performed by SWAT model using the spatial and attribute database acquired through social survey and statistical data. The model was applied and validated based on the data of meteorology, runoff and water quality from 2010 to 2014. The spatial-temporal distribution of N and P in the basin was also studied. The results showed that the urban life was the most important source of N and P load, following by agriculture and livestock breeding pollution source, and the least was industry pollution source. The annual TN and TP loads were mainly concentrated in flood season (from May to September) which took up nearly 55% of the whole year load. As the amount of precipitation increased, TN and TP loads increased during flood period, which was mainly due to the increasing of non-point rural living water and agricultural fertilization pollution source with scouring action of the heavy rainfall during flood season. The spatial distribution of N and P was centered on the Jiujiang county, Xunyang and Lushan district as the urban agglomeration area affected by urban sewage pollution.