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Objective: To investigate the effect of perioperative oral nutritional supplementation on the short-term curative effect of obese patients after laparoscopic sleeve gastrectomy (LSG). Methods: A prospective research method was adopted. The clinical data of 218 obese patients who underwent LSG in Ningxia Medical University General Hospital from January 2018 to December 2021 were selected. The patients who received oral nutritional supplement therapy during the perioperative period were set as the experimental group, and those who received conventional treatment were set as the control group. Observation indicators: (1) Grouping of enrolled patients. (2) Postoperative and follow-up situation. (3) Nutrition-related indicators. (4) Diet compliance. (5) Status of weight loss-related indicators. Follow-up visits were conducted by telephone, We Chat and outpatient visits. The patients were followed up once 30 days after discharge, including albumin (Alb), hemoglobin (Hb), dietary compliance and weight loss-related indicators. The follow-up time will end in February 2022. The measurement data with normal distribution were expressed as x+or-s, and the comparison between groups was performed by independent sample t test. The measurement data is represented by M (range), and the comparison between groups is performed by Mann?Whitney U test. Enumeration data were expressed as absolute numbers or percentages, and the X2 test was used for comparison between groups. Repeated measures data were analyzed by repeated measures analysis of variance. The rank sum test was used to compare the rank data. Results (1) Grouping of the enrolled patients. Screened 218 eligible patients;42 males and 176 females;age (32+or-9) years;body mass index (BMI) (39+or-7) kg/m2. Among the 218 patients, there were 109 cases in the test group and 109 cases in the control group. Gender (male, female), age, BMI, preoperative Alb, and preoperative Hb of patients in the test group were 17 and 92 cases, (33+or-9) years old, (39+or-7) kg/m2, (40.6+or-4.8) g /L, (141.7+or-13.9) g/L;the above indicators in the control group were 25 and 84 cases, (31+or-8) years old, (39+or-8) kg/m2, (40.9+or-4.2) g/L, (142.9+or-9.7) g/L;there was no significant difference in the above (X2=1.89, t=-1.52, 0.51, 0.40, 0.71, P > 0.05). (2) Postoperative and follow-up situation. The first hospitalization time and first hospitalization expenses of the patients in the experimental group were (9.1+or-2.9) d and (3.6+or-0.5) ten thousand yuan respectively;the above indicators of the patients in the control group were (4.9+or-1.0) ten thousand yuan respectively;There were statistically significant differences in the above indicators between the two groups (t=5.58, 12.38, P < 0.05). Among the 218 patients, 119 were followed up, including 62 in the experimental group and 57 in the control group. The 119 patients were followed up for 31.0 (25.0-38.0) days. Among the 218 patients, 14 cases had postoperative complications and led to rehospitalization, including 2 cases in the experimental group, 1 case of nausea and vomiting and 1 case of intestinal obstruction;12 cases in the control group, 10 cases of nausea and vomiting, gastric fistula 2 cases;there was a statistically significant difference between the two groups in hospital readmission (X2=7.63, P < 0.05). The time interval between re-admission and first discharge of 14 patients was (22.0+or-6.7) days. (3) Nutrition-related indicators. The Alb and Hb levels of 62 patients in the experimental group who were followed up before operation, before the first discharge, and 1 month after operation were (40.4+or-5.5) g/L, (35.9+or-3.8) g/L, (45.4+or-2.9) g/L, respectively and (140.8+or-13.9) g/L, (130.5+or-16.9) g/L, (147.8+or-17.2) g/L;the above indicators of 57 patients in the control group were (41.2+or-3.9) g/L, (34.2 +or-3.9) g/L, (42.7+or-5.3) g/L and (143.0+or-9.7) g/L, (122.9+or-12.8) g/L, (139.0+or-11.4) g/L;There was a statistically significant difference between the Alb and Hb groups from preoperative to postoperative 1 mont
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In recent years, with the outbreak and epidemic of the novel coronavirus in the world, how to obtain clean water from the limited resources has become an urgent issue of concern to all mankind. Atmospheric water harvesting technology and solar-driven interfacial evaporation technology have shown great potential in seeking clean and sustainable water resources. Here, inspired by a variety of organisms in nature, a multi-functional hydrogel matrix composed of polyvinyl alcohol (PVA), sodium alginate (SA) cross-linked by borax as well as doped with zeolitic imidazolate framework material 67 (ZIF-67) and graphene owning macro/micro/nano hierarchical structure has successfully fabricated for producing clean water. The hydrogel not only can reach the average water harvesting ratio up to 22.44 g g-1 under the condition of fog flow after 5 h, but also be capable of desorbing the harvested water with water release efficiency of 1.67 kg m-2 h-1 under 1 sun. In addition to excellent performance in passive fog harvesting, the evaporation rate over 1.89 kg m-2 h-1 is attained under 1 sun on natural seawater during long-term. This hydrogel indicates its potential in producing clean water resources in multiple scenarios in different dry or wet states, and which holds great promise for flexible electronic materials and sustainable sewage or wastewater treatment applications.
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In recent years, the new type of coronary pneumonia (COVID-19) has become a highly contagious disease worldwide, posing a serious threat to the public health. This paper is based on the SEIR model of the new coronavirus pneumonia, considering the impact of cold chain input and re-positive on the spread of the virus in the COVID-19. In the process of model design, the food cold chain and re-positive are used as parameters, and its stability is analyzed and simulated. The experimental results show that taking into account the cold chain input and re-positive can effectively simulate the spread of the epidemic. The research results have important research value and practical significance for the prevention and control of the COVID-19 and the prediction of important time nodes.
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In recent years, the new type of coronary pneumonia (COVID-19) has become a highly contagious disease worldwide, posing a serious threat to the public health. This paper is based on the SEIR model of the new coronavirus pneumonia, considering the impact of cold chain input and re-positive on the spread of the virus in the COVID-19. In the process of model design, the food cold chain and re-positive are used as parameters, and its stability is analyzed and simulated. The experimental results show that taking into account the cold chain input and re-positive can effectively simulate the spread of the epidemic. The research results have important research value and practical significance for the prevention and control of the COVID-19 and the prediction of important time nodes.
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At present, the Corona Virus Disease 2019 (COVID-19) is ravaging the world, bringing great impact on people's life safety and health as well as the healthy development of economy and society, so the research on the prediction of the development trend of the epidemic is crucial. In this paper, we focus on the prevention and control of epidemic using the relevant technologies in the field of artificial intelligence and signal analysis. With the unknown principle of epidemic transmission, we first smooth out the complex and variable epidemic data through the empirical mode decomposition model to obtain the change trends of epidemic data at different time scales. On this basis, the change trends under different time scales are trained using an extreme learning machine to obtain the corresponding prediction values, and finally the epidemic prediction results are obtained by fitting through Adaptive Network-based Fuzzy Inference System. The experimental results show that the algorithm has good learning ability, especially in the prediction of time-series sequences can guarantee the accuracy rate while having low time complexity. Therefore, this paper not only plays a theoretical support for epidemic prevention and control, but also plays an important role in the construction of public emergency health system in the long run.