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The PID controller is widely used in the automatic water conveyance system of canal. However, the conventional PID controller has poor adaptability to canal operating conditions, and along with the variation of canal operating conditions, we must continuously adjust the PID control parameters, it brings some difficulties to the practical operation. And the online self-adapting of PID parameters is also the problem difficult to solve of conventional PID controller, so we combined the fuzzy control with the PID control, designed the fuzzy self-adaptive PID controller, and applied it to the automatic control system of canal operation. When canal operates, according to actual response conditions, the computer uses fuzzy reasoning, and the optimal adjustment of PID parameters can be automatically realized. The simulation results show that this controller can remarkably improve the control effects of canal automatic operation.

IntroductionAccumulating evidence shows that epilepsy is a disease caused by brain network dysfunction. This study explored changes in brain network structure in epilepsy patients based on graph analysis of diffusion tensor imaging data.MethodsThe brain structure networks of 42 healthy control individuals and 26 epilepsy patients were constructed. Using graph theory analysis, global and local network topology parameters of the brain structure network were calculated, and changes in global and local characteristics of the brain network in epilepsy patients were quantitatively analyzed.ResultsCompared with the healthy control group, the epilepsy patient group showed lower global efficiency, local efficiency, clustering coefficient, and a longer shortest path length. Both healthy control individuals and epilepsy patients showed small-world attributes, with no significant difference between groups. The epilepsy patient group showed lower nodal local efficiency and nodal clustering coefficient in the right olfactory cortex and right rectus and lower nodal degree centrality in the right olfactory cortex and the left paracentral lobular compared with the healthy control group. In addition, the epilepsy patient group showed a smaller fiber number of edges in specific regions of the frontal lobe, temporal lobe, and default mode network, indicating reduced connection strength.DiscussionEpilepsy patients exhibited lower global and local brain network properties as well as reduced white matter fiber connectivity in key brain regions. These findings further support the idea that epilepsy is a brain network disorder.

Jiangyin is a typical plain river network city in the Yangtze River Delta. The water ecological environment in urban area faces a range of environmental challenges, including poor water quality, black and odorous water bodies, serious isolation of river network, degradation of water ecological environment and low efficiency in urban wastewater treatment. This study proposed a systematic treatment plan which includes source sewage control, river regulation, water cycle enhancement, water environment restoration and waterscape improvement. Such an approach was informed by four principles, which is prioritizing pollutant control, introducing flowing water, co-management of river and bank, and combination of construction and management. By implementing such measures, the water environment carrying capacity and water ecological restoration capacity of the urban area have been greatly improved, and the overall water ecological environment quality has been significantly improved. The urban water system has realized a new picture of smooth river, clear water, green bank and beautiful scenery.

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