Enterprise chart question and answer method based on multi modal cross fusion.

To enhance enterprises' interactive exploration capabilities for unstructured chart data, this paper proposes a multimodal chart question-answering method. Facing the challenge of recognizing curved and irregular text in charts, we introduce Gaussian heatmap encoding technology to achieve character-level precise text annotation. Additionally, we combine a key point detection algorithm to extract numerical information from the charts and convert it into structured table data.

Longitudinal Associations between Future Time Perspective, Sleep Problems, and Depressive Symptoms among Chinese College Students: Between- and within-Person Effects.

Depressive symptoms and sleep problems are extremely prevalent in adolescence, and future time perspective has been found to be strongly associated with them. However, little is known about the longitudinal relationship and the temporal dynamics of future time perspective, sleep problems, and depressive symptoms. Moreover, it is unclear whether sleep problems mediate the associations between future time perspective and depressive symptoms.

Effect of cooking methods on flavor profiles of Xuanwei Ham: Analytical insights into aromatic composition and sensory attributes.

To examine flavor variations in Xuanwei ham due to different cooking methods, we selected one-year cured Xuanwei ham and applied four techniques: dry frying (DF), baking (BA), steaming (ST), and boiling (BO). Organoleptic evaluation revealed ST received the highest overall sensory score. High-performance liquid chromatography (HPLC) revealed that the total nucleotide content was significantly different ( < 0.

leaf alleviates functional constipation via regulating the gut microbiota and the enteric nervous system in mice.

Lam. leaf is not only a new food resource in China, but also a traditional medicinal plant. It is commonly used in the folk to alleviate constipation, but its laxative mechanism is not fully understood.

Construction of Knowledge Graph English Online Homework Evaluation System Based on Multimodal Neural Network Feature Extraction.

This paper defines the data schema of the multimodal knowledge graph, that is, the definition of entity types and relationships between entities. The knowledge point entities are defined as three types of structures, algorithms, and related terms, speech is also defined as one type of entities, and six semantic relationships are defined between entities. This paper adopts a named entity recognition model that combines bidirectional long short-term memory network and convolutional neural network, combines local information and global information of text, uses conditional random field algorithm to label feature sequences, and combines domain dictionary.

Agrobacterium tumefaciens-mediated transformation of Botryosphaeria dothidea.

Botryosphaeria dothidea is a severe causal agent of die-back and cankers of many woody plants and causes great losses in many regions. The pathogenic mechanism of this pathogen has not been well explored due to lack of mutants and genetic information. In this study, we developed an Agrobacterium tumefaciens-mediated transformation (ATMT) protocol for B.