Double tract reconstruction improves the quality of life and better maintain the BMI of patients with proximal gastric cancer.

PURPOSE: The aim of this study is to investigate the effect of double-tract reconstruction on short-term clinical outcome, quality of life and nutritional status of patients after proximal gastrectomy by comparing with esophagogastrostomy and total gastrectomy with Roux-en-Y reconstruction. METHODS: The clinical data of patients who underwent double tract reconstruction (DTR), esophagogastrostomy (EG), total gastrectomy with Roux-en-Y reconstruction (TG-RY) were retrospectively collected from May 2020 to May 2022. The clinical characteristics, short-term surgical outcomes, postoperative quality of life and nutritional status were compared among the three groups. RESULTS: Compared with the DTR group, the operation time in the TG group was significantly shorter (200(180,240) minutes vs. 230(210,255) minutes, p < 0.01), and more lymph nodes were removed (28(22, 25) vs. 22(19.31), p < 0.01), there were no significant differences in intraoperative blood loss, first flatus time, postoperative hospital stay and postoperative complication rate among the three groups. Postoperative digestive tract angiography was completed in 36 patients in the DTR group, of which 21 (58.3%) showed double-tract type of food passing. The incidence of postoperative reflux symptoms was 9.2% in the DTR group, 43.8% in the EG group and 23.2% in the TG group, repectively (P < 0.01). EORTCQLQ-STO22 questionnaire survey showed that compared with EG group, DTR group had fewer reflux symptoms (P < 0.05), fewer anxiety symptoms (P < 0.05) and more swallowing symptoms (P < 0.05). Compared with TG group, DTR group had fewer reflux symptoms (P < 0.05). There were no other significant differences between the two groups. Compared with TG group and EG group, DTR can better maintain postoperative BMI, and there is no statistical difference between the three groups in terms of hemoglobin and albumin. CONCLUSIONS: Although partial double-tract reconstruction approach does not always ensure food to enter the distal jejunum along the two pathways as expected, it still shows satisfactory anti-reflux effect. Moreover, it might improve patients' quality of life and maintain better nutritional status comparing with gastroesophageal anastomosis and total gastrectomy with Roux-en-Y reconstruction.

Multifunctional MXene/PEDOT:PSS-Based Phase Change Organohydrogels for Electromagnetic Interference Shielding and Medium-Low Temperature Infrared Stealth.

Electromagnetic interference (EMI) shielding and infrared stealth technologies are essential for military and civilian applications. However, it remains a significant challenge to integrate various functions efficiently into a material efficiently. Herein, a minimalist strategy to fabricate multifunctional phase change organohydrogels (PCOHs) was proposed, which were fabricated from polyacrylamide (PAM) organohydrogels, MXene/PEDOT:PSS hybrid fillers, and sodium sulfate decahydrate (Na2SO4·10H2O, SSD) via one-step photoinitiation strategies. PCOHs with a high enthalpy value (130.7 J/g) and encapsulation rate (98%) could adjust the temperature by triggering a phase change of SSD, which can hide infrared radiation to achieve medium-low temperature infrared stealth. In addition, the PCOH-based sensor has good strain sensing ability due to the incorporation of MXene/PEDOT:PSS and can precisely monitor human movement. Remarkably, benefiting from the electron conduction of the three-dimensional conductive network and the ion conduction of the hydrogel, the EMI shielding efficiency (k) of PCOHs can reach 99.99% even the filler content as low as 1.8 wt %. Additionally, EMI shielding, infrared stealth, and sensing-integrated PCOHs can be adhered to arbitrary targets due to their excellent flexibility and adaptability. This work offers a promising pathway for fabricating multifunctional phase change materials, which show great application prospects in military and civilian fields.

[Quantitative estimation of vegetation cover and management factor in USLE and RUSLE models by using remote sensing data: a review].

Soil loss prediction models such as universal soil loss equation (USLE) and its revised universal soil loss equation (RUSLE) are the useful tools for risk assessment of soil erosion and planning of soil conservation at regional scale. To make a rational estimation of vegetation cover and management factor, the most important parameters in USLE or RUSLE, is particularly important for the accurate prediction of soil erosion. The traditional estimation based on field survey and measurement is time-consuming, laborious, and costly, and cannot rapidly extract the vegetation cover and management factor at macro-scale. In recent years, the development of remote sensing technology has provided both data and methods for the estimation of vegetation cover and management factor over broad geographic areas. This paper summarized the research findings on the quantitative estimation of vegetation cover and management factor by using remote sensing data, and analyzed the advantages and the disadvantages of various methods, aimed to provide reference for the further research and quantitative estimation of vegetation cover and management factor at large scale.