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Bees play a crucial role in terrestrial ecosystems. However, beekeepers are unable to monitor the state of beehives (bees and environment) all the time, which often results in bees escaping or even dying. Currently, some researchers provided the scheme of intelligent beehive monitoring system equipped with the Internet of Things (IoT), There remain two challenges: accurately monitor the environmental status around the hive and accurately track and monitor bees in real time. With the development of the IoT and computer vision algorithms, we hope to provide an automated and efficient system to meet the above challenges. In this paper, we proposed a hive monitoring system, and build a visualization module in the cloud to monitor the activity of bee colonies and the environmental dynamic changes. (1) We proposed a multi-bee tracking algorithm to solve the problem of monitoring bees at the door of the hive; (2) we constructed a dataset containing various complex scenes, named BEE22, for training and testing the performance of our algorithm; (3) we designed a bee counting rule, based on results of multi-bee tracking algorithm, to reasonably count the bees entering or leaving the beehive; (4) we have deployed multiple sensors around(center, margin, door, and environment) the hive to accurately reflect the changes in the environment around the hive. Experimental results demonstrate the effectiveness and excellence of our system. In particular, the tracking performance of the multi-bee tracking algorithm reaches 83.5 % ± 0.7 % Multiple Object Tracking Accuracy (MOTA) and 77.3 %±0.2 % Multiple Object Tracking Precision (MOTP), speeds up to 16 frames per second, compared with other algorithms, MOTA and Identity F1 Score (IDF1) are improved by 5.4 % and 8.2 % respectively. Moreover, our counting algorithm also achieved excellent results, with root mean square error (RMSE) of 1.3 ± 0.1, 0.2 ± 0.0, and 1.6 ± 0.1 in counting the number of bees current, entry, and out scene in an episode, respectively. After that, the system will be deployed and monitored for a long time in the actual scenario, it was found that the activity of bees decreased significantly under heavy rainfall conditions. Additionally, the activity of the bee colony will also increase accordingly, when the amplitude is 500 dB to 2000 dB, the temperature of the center of the beehive is 25 °C to 37 °C, and the humidity is 48 % to 67 %. In summary, our system can provide valuable information for bee farmers to make control decisions on hives.

Purpose: To investigate the effect of reduced glutathione and ulinastatin on the expressions of interleukin-6 (IL-6), soluble interleukin-6 receptor (sIL-6R), and soluble glycoprotein 130 (sgp130) in peripheral blood of paraquat-poisoned patients. Methods: In this retrospective study, 88 patients with paraquat poisoning admitted to Dongying People's Hospital, Dongying, China from February 2017 to October 2020 were divided into control group (n = 40) and study group (n = 48), based on treatment type. The control group received conventional treatments, while the study group was given reduced glutathione in combination with ulinastatin. Treatment efficacy and peripheral blood expression levels were compared. Results: Compared to the control group, curative effect was significantly higher in the study group (p < 0.05). The expression levels of IL-6, sIL-6R, and sgp130 in the peripheral blood at the early, middle and late periods in the study group were markedly lower. The number of patients with flake-like or dotted opacity, increased lung texture, pleural effusion and ground glass opacity in the study group during the early period was lower (p < 0.05). Moreover, the number of patients with pulmonary edema, fibrous cord, pleural effusion, ground glass opacity and reticular opacity during the middle period was markedly lower for the study group, while the population of patients with honeycomb lung, fibrous cord, nodules and reticular opacity in the study group was higher t (p < 0.05). Conclusion: A combination of reduced glutathione and ulinastatin produces significant therapeutic effect on paraquat poisoning by down-regulating the serum expressions of IL-6, sIL-6 and sgp130, inhibiting inflammation, and mitigating pulmonary lesions. [ABSTRACT FROM AUTHOR]