Compound Classification and Consideration of Correlation with Chemical Descriptors from Articles on Antioxidant Capacity Using Natural Language Processing.

In recent times, there has been a substantial increase in the number of articles focusing on antioxidants. However, the development of a comprehensive estimator for antioxidant capacity remains elusive due to the challenge of integrating information from these articles. Furthermore, the complexity of the antioxidant mechanism, which involves a multitude of factors, makes it difficult to establish a simple equation or correlation. Hence, there is a pressing need for a model that can effectively interpret the collective knowledge from these articles, especially from a chemistry perspective. In this research, we employed natural language processing techniques, specifically Word2Vec, to analyze articles related to antioxidant capacity. We extracted representation vectors of compound names from these documents and organized them into 10 distinct clusters. In our investigation of two of these clusters, we unveiled that the majority of the compounds in question were flavonoids and flavonoid glycosides. To establish a link between the descriptors and clusters, we utilized kernel density estimation and generated scatter plots to visualize their similarity. These visualizations clearly indicated a strong relationship between the descriptors and clusters, affirming that a tangible connection exists between word vectors and compound descriptors through a document analysis conducted with natural language processing techniques. This study represents a pioneering approach that utilizes document analysis to shed light on the field of antioxidant capacity research, marking a significant advancement in this domain.

Incidence of spinal instability among patients with discogenic low back pain with different backgrounds.

[Purpose] To investigate the incidence of spinal instability among patients with discogenic low back pain and its various effects with respect to the patients' age, gender, sports activity, and occupation. [Participants and Methods] We assessed 65 patients diagnosed with discogenic low back pain at our clinic between May 2016 and May 2020. After measuring segmental angulation using plain radiographs, we divided these patients into two groups: (1) instability group with >10° of segmental angulation or >3 mm of sagittal translation and (2) stability group with <10° of segmental angulation and <3 mm of sagittal translation. Patient data such as age, gender, sports activity, and occupation were collected using their medical records. [Results] The incidence of spinal instability was 57% (37 patients) among the patients with discogenic low back pain. No significant differences in age, gender, sports activity, and occupation were identified between the groups. [Conclusion] The incidence of spinal instability accounted for more than half of the total number of patients. Additionally, age, gender, sports activity, and occupation did not affect the incidence of spinal instability. Our results support the importance of rehabilitation, such as stability training for spinal instability, for patients with discogenic low back pain.