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Objective: To evaluate the clinical effect of transabdominal preperitoneal laparoscopic hernia repair in the treatment of incarcerated inguinal hernia. Methods: Retrospective analysis was done with the clinical data of 44 patients of incarcerated inguinal hernia enrolled and operated in our hospital from January 2015 to December 2019. Twenty-four cases in study group were treated with transabdominal preperitoneal laparoscopic hernia repair and 20 cases undergoing Lichtenstein surgery in control group. Operative time, the time of first postoperative off-bed activities, postoperative hospital stay, pain score of first postoperative day, total hospital cost were compared between two groups. Follow-up was done for 12 months and postoperative seroma, incision infection, mesh infection, and recurrence were compared between two groups. Results: Operative time and total hospital cost in study group were higher than those in control group，(80.96±13.25) min vs. (64.90±18.80) min (P0.05). Conclusions: Transabdominal preperitoneal laparoscopic hernia repair in the treatment of incarcerated inguinal hernia had longer operative time and higher cost, but with the advantages of less pain and faster recovery after surgery.

Detection of tiny object in complex environments is a matter of urgency, not only because of the high real-world demand, but also the high deployment and real-time requirements. Although many current single-stage algorithms have good detection performance under low computing power requirements, there are still significant challenges such as distinguishing the background from object features and extracting small-scale target features in complex natural environments. To address this, we first created real datasets based on natural environments and improved dataset diversity using a combination of copy–paste enhancement and multiple image enhancement techniques. As for the choice of network, we chose YOLOV5s due to its nature of fewer parameters and easier deployment in the same class of models. Most improvement strategies to boost detection performance claim to improve the performance of privilege extraction and recognition. However, we prefer to consider the combination of realistic deployment feasibility and detection performance. Therefore, based on the hottest improvement methods of YOLOV5s, we try to make adaptive improvements in three aspects, namely attention mechanism, head network, and backbone network. The experimental results proved that the decoupled head and Slimneck based improvements achieved, respectively, 0.872 and 0.849, 0.538 and 0.479, 87.5% and 89.8% on the mAP0.5, mAP0.5:0.95, and Precision metrics, surpassing the results of the baseline model on these three metrics: 0.705, 0.405 and 83.6%. This result suggests that the adaptively improved model can better meet routine testing needs without significantly increasing the number of parameters. These models perform well on our custom dataset and are also effective on images that are difficult to detect by naked eye. Meanwhile, we find that YOLOV8s, which also has the decoupled head improvement, has the results of 0.743, 0.461, and 87.17% on these three metrics. It proves that under our dataset, it is possible to achieve more advanced results with lower number of model parameters just by adding decoupled head. And according to the results, we also discuss and analyze some improvements that are not adapted to our dataset, which also provides ideas for researchers in similar scenarios: in the booming development of object detection, choosing the suitable model and adapting to combine with other technologies would help to provide solutions to real-world problems. [ABSTRACT FROM AUTHOR]

Trimethoprim (TMP) is a commonly used BCS class II antibiotic, the water solubility of which needs to be improved to overcome the limitations in oral administration. Herein, we combined TMP with pharmaceutically acceptable coformers (CCFs) by co-crystallization method and reported five new salts (two solvated salts and three unsolvated salts) of TMP. The crystal structures of the salts were determined by single-crystal X-ray diffraction. The supramolecular interactions in the crystal structures were theoretically investigated via molecular electrostatic potential surface (MEPs), Hirshfeld surface, and atoms-in-molecules (AIM) analyses of TMP and CCFs. The properties of the salts were experimentally characterized by using TGA, DSC, hot stage microscopy, and Fourier transform infrared (FTIR) spectroscopy. Furthermore, the equilibrium solubility and intrinsic dissolution rate (IDR) of the salts were determined and compared to that of bare TMP in buffers of pH 1.2 and 6.8. It was found that the equilibrium solubility and IDR of TMP–GA–2M (GA: gallic acid; M: methanol), TMP–SYA–0.16H (SYA: syringic acid; H: H2O), and TMP–OA (OA: orotic acid) dramatically increased in both buffers. The antibacterial activity measurement of these three salts against Escherichia coli revealed that the bacteriostasis rate of the three salts all increased by more than 40% and the minimum inhibitory concentrations (MICs) of salts all decreased compared to that of TMP. There may be drug synergism between the API and the CCF. Based on food safety considerations, TMP–SYA–0.16H and TMP–OA will have more potential prospects in further application of TMP. [ABSTRACT FROM AUTHOR]

An extensive economic growth mode leads to resource depletion and environmental degradation. Green development is the best way to solve this problem. We analyzed the sample data of 41 cities in the Yangtze River Delta of China from 2007 to 2019. We used the spatial Durbin model and interaction term model to study the effects of regional financial agglomeration (FA) on green development and the moderating role of green technology innovation. The results show that FA promotes local green development but inhibits the green development of neighboring areas. Because the polarization effect of the growth pole is greater than its dispersion effect, cities with high levels of FA have a strong "siphon effect" on the surrounding areas. Green technology innovation positively moderates the promoting effect of FA on green development; the higher the level of green technology innovation and the degree of emphasis on it, the stronger the promoting effect. The government should encourage green finance to promote green technology innovation and promote the green development of the regional economy. These findings provide new insights for developing countries to achieve sustainable development under environmental constraints. [ABSTRACT FROM AUTHOR]