Enhanced tumor targeting and penetration of fluorophores via iRGD peptide conjugation: a strategy for the precision targeting of lung cancer.

Background: Accurate real-time tumor delineation is essential for achieving curative resection (R0 resection) during non-small cell lung cancer (NSCLC) surgery. The unique characteristics of lung tissue structure significantly challenge the use of video-assisted thoracoscopic surgery in the identification of lung nodules. This difficulty often results in an inability to discern the margins of lung nodules, necessitating either an expansion of the resection scope, or a transition to open surgery.

Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation.

Generative approaches to molecular design are an area of intense study in recent years as a method to generate new pharmaceuticals with desired properties. Often though, these types of efforts are constrained by limited experimental activity data, resulting in either models that generate molecules with poor performance or models that are overfit and produce close analogs of known molecules. In this paper, we reduce this data dependency for the generation of new chemotypes by incorporating docking scores of known and de novo molecules to expand the applicability domain of the reward function and diversify the compounds generated during reinforcement learning.

Influencing factors of the treatment level of elderly care workers and their career development prospects.

Background: The increasingly aging population in current China has encouraged the emergence of the diversified and multi-level elderly care service industry, and the demand for high-quality elderly life with the help of elderly caregivers continues to grow.

Methods: Based on the existing questionnaire data, this article explores the influencing factors of the treatment level of care staff, and explores their future development prospects.

Results: The results show that whether they have participated in relevant vocational skills competitions, whether they have worked overtime, whether they have overtime wages, and their monthly income have significant effects on their satisfaction of treatment levels.