Combined treatment of DG and EA could increase both plasma motilin and electrogastrographic frequencies, promote gastric emptying, alleviate the symptom of dyspepsia so as to increase quality of life, with better safety and long-term effect.

Both FLM and acupuncture can significantly shorten the defecation interval and GITT, increase MTL levels in serum, decrease the scores of stool property, constipation symptoms, and accompanying symptoms in patients with FC to increase their life quality. The combined therapy is much better in long-term efficacy and the safety is also good, worth spreading in clinical practice.

No abstract

Adiponectin gene promoter -11377C/G (CG), -11377C/G (GG), GPx-1 gene C594T (CT), C594T (TT), and cigarette smoking are risk factors in NAFLD, and the significant association between genetic polymorphisms of -11377C/G, C594T, and cigarette smoking amplify the risk of NAFLD.

Acupuncture plus Plantain and Senna Granule can significantly decrease gastrointestinal transit time and defecation cycle in patients with functional constipation; it can also change stool property and alleviate constipation symptom and accompanying symptoms, with good security and tolerance.

No abstract

EC-SOD (C/G), ALDH2 variant genotypes and drinking might be the risk factors of pancreatic cancer.

Insulators are important safety devices on high-voltage transmission lines. An insulator inspection system based on UAVs is widely used. Insulator defect detection is performed against two main engineering problems: 1. The scarcity of defect images, which leads to a network overfitting problem. 2. The small object detection, which is caused by the long aerial photography distance, and the low resolution of the insulator defect area pictures. In this study, firstly, the super-resolution reconstruction method is used to augment the dataset, which can not only solve the overfitting problem but also enrich the image texture features and pixel values of defect areas. Secondly, in the process of insulator defect detection, a two-stage cascading method is used. In the first stage, the rotated object detection algorithm is used to realize the object location of insulator strings, and then images of the identified insulators are cropped to reduce the proportion of the background area in defect images. In the second stage, YOLO v5 is used for the detection of insulator caps that are missing defects. The method proposed shows good detection effect on the self-built training set which contains only 85 images captured from real inspection environments. The method has practical industrial application value.