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At present, the picking of nectarines mainly relies on manual completion in China, and the process involves high labor intensity during picking and low picking efficiency. Therefore, it is necessary to introduce automated picking. To improve the accuracy of nectarine fruit recognition in complex environments and to increase the efficiency of automatic orchard-picking robots, a lightweight nectarine detection method, YOLOv8n-CSD, is proposed in this study. This model improves on YOLOv8n by first proposing a new structure, C2f-PC, to replace the C2f structure used in the original network, thus reducing the number of model parameters. Second, the SEAM is introduced to improve the model's recognition of the occluded part. Finally, to realize real-time detection of nectarine fruits, the DySample Lightweight Dynamic Upsampling Module is introduced to save computational resources while effectively enhancing the model's anti-interference ability. With a compact size of 4.7 MB, this model achieves 95.1% precision, 84.9% recall, and a mAP@0.5 of 93.2%—the model's volume has been reduced while the evaluation metrics have all been improved over the baseline model. The study shows that the YOLOv8n-CSD model outperforms the current mainstream target detection models, and can recognize nectarines in different environments faster and more accurately, which lays the foundation for the field application of automatic picking technology. [ABSTRACT FROM AUTHOR]

Immunomodulatory drugs (IMiDs) represented by thalidomide exhibit benefits when combined with other chemotherapeutic drugs for patients with lung cancer, which inspired the exploration of combining pomalidomide with another agent to treat lung cancer as it is more potent than thalidomide. However, the drugs that can be combined with pomalidomide to benefit patients and related mechanisms remain unclear. Here, we performed a proteomic analysis based on the streptavidin pull-down to identify the potential target of pomalidomide in non-small cell lung cancer (NSCLC). In this work, electron transfer flavoprotein alpha subunit (ETFA), an important enzyme involved in electron transport in the respiratory chains was identified as a crucial cellular target of pomalidomide in NCI-H460 cells. Using apoptosis model and combination analyses, we found that pomalidomide directly targeted ETFA, and increased ATP generation, thereby significantly promoting tumor necrosis factor-related apoptosis-inducing ligand (TRAIL)-induced apoptosis. Specific knockdown of ETFA could effectively eliminate the promoting effect of pomalidomide on energy production. Furthermore, respiratory chain inhibitors can effectively block cell apoptosis induced by TRAIL and pomalidomide. These results suggested that pomalidomide may promote apoptosis by facilitating energy production by targeting ETFA and thus enhanced the anticancer effects of chemotherapeutic drugs. It is noteworthy that pomalidomide noticeably increased the anticancer efficacy of cisplatin (CDDP) in NCI-H460 xenograft model with the main mechanisms by inducing apoptosis. Collectively, our data not only provide new insights into the anticancer mechanisms of pomalidomide but also reflect translational prospects of combining pomalidomide with CDDP for NSCLC treatment., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)