Health insurance expansion and academic production: The case of Medicare Part D legislation.

Understanding how market demand influences academic research is crucial for comprehending the innovation process and informing policy decisions. This study examines the impact of the 2003 Medicare Part D legislation on biomedical journal article production across diseases. Using a difference-in-differences framework, together with a sample of over 2 million original research articles published between 1987 and 2015 sourced from PubMed database, I find a relatively 18.

Autophagy-Enhancing Properties of Extracts in HaCaT Keratinocytes: Potential as an Anti-Photoaging Cosmetic Ingredient.

The decline in autophagy disrupts homeostasis in skin cells, leading to oxidative stress, energy deficiency, and inflammation-all key contributors to skin photoaging. Consequently, activating autophagy has become a focal strategy for delaying skin photoaging. Natural plants are rich in functional molecules and widely used in the development of anti-photoaging cosmetics.

The MADS-Box Transcription Factor EjAGL18 Negatively Regulates Malic Acid Content in Loquat by Repressing .

Malic acid is the major organic acid in loquat fruit, contributing to the sourness of fruit and affecting fruit flavor. However, the transcriptional regulation of malic acid in loquat is not well understood. Here, we discovered a MADS-box transcription factor (TF), EjAGL18, that regulated malic acid accumulation in loquat.

MaTableGPT: GPT-Based Table Data Extractor from Materials Science Literature.

Efficiently extracting data from tables in the scientific literature is pivotal for building large-scale databases. However, the tables reported in materials science papers exist in highly diverse forms; thus, rule-based extractions are an ineffective approach. To overcome this challenge, the study presents MaTableGPT, which is a GPT-based table data extractor from the materials science literature.

Identification of the clinical and genetic characteristics of gliomas with gene fusions by integrated genomic and transcriptomic analysis.

The identification of oncogenic gene fusions in diffuse gliomas may serve as potential therapeutic targets and prognostic indicators, representing a novel strategy for treating gliomas consistent with the principles of personalized medicine. This study identified detectable oncogene fusions in glioma patients through an integrated analysis of genomic and transcriptomic data, which encompassed whole exon sequencing and next-generation RNA sequencing. In addition, this study also conducted a comparison of the genetic characteristics, tumor microenvironment, mutation burden and survival between glioma patients with or without gene fusions.