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Objective To investigate the effect of Traditional Chinese Medicine(TCM) nursing technology combined with health education on gastrointestinal adverse reactions during chemotherapy in elderly patients with cancer. Methods Totally84 elderly patients with cancer who received chemotherapy from March 2021 to July 2022 were included and divided into two groups by the random number table method. The control group (n=42) received routine nursing during treatment, while the observation group (n=42) received TCM characteristic nursing technology combined with health education. The gastrointestinal adverse reactions during chemotherapy were observed and analyzed. The psychological state of patients was measured by Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS). Results The incidences of constipation, loss of appetite, nausea and vomiting in the observation group were lower than those in the control group(P＜0. 05). Scores of SAS and SDS in the observation group were lower than those in the control group after implementation of nursing interventions(P＜0. 01). Conclusion The combination of TCM characteristic nursing techniques and health education has a positive impact on reducing gastrointestinal adverse reactions, and can also alleviate the negative emotions of patients with chemotherapy for cancer. (目的 探讨中医特色护理技术联合健康教育对老年肿瘤患者化疗期间胃肠道反应的影响。方法 选取2021年3月—2022年7月在医院接受化疗的84例老年肿瘤患者为研究对象, 采用随机数字表法分为观察组与对照组。对照组(n=42)接受常规护理干预, 观察组(n=42)开展中医特色护理技术联合健康教育。记录两组患者胃肠道反应发生情况, 采用焦虑自评量表(SAS)和抑郁自评量表(SDS)评估患者心理状态。结果 观察组患者便秘、食欲减退、恶心呕吐等发生率均低于对照组, 差异有统计学意义(P＜0. 05)。护理干预后观察组SAS和SDS量表评分低于对照组, 差异有统计学意义(P＜0. 01)。结论 老年肿瘤患者化疗期间采取中医特色护理技术联合健康教育对减轻胃肠道反应有着积极影响, 且能够缓解患者的负面情绪。)

Copyright of Journal of Modern Medicine & Health is the property of Journal of Modern Medicine & Health and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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As a common prosperity demonstration province, Zhejiang Province is facing the dilemma of traditional education methods in the cultivation of high-quality farmers, especially in the group of farmer college students. By sorting out the farmer training models of the advanced agricultural countries in Europe, such as Britain, France, the Netherlands and Germany, we summarized the references for farmer college students in Zhejiang Province, so as to explore the diversified governance paths for the cultivation of high-quality farmers in Zhejiang Province, and provide Zhejiang solutions for the cultivation of high-quality farmers in China. [ABSTRACT FROM AUTHOR]

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Due to the low resolution of spectroscopic instrument, the characteristics of elements with similar peak position overlap when detecting heavy metals in soil. Spectral overlapping peaks seriously affect the accuracy of quantitative analysis results. In order to obtain accurate heavy metal content, spectral overlapping peaks need to be decomposed. The African vulture algorithm was used to optimize the overlapping peaks of convolutional neural networks (AVOA-CNN). Firstly, 150 double Gaussian overlapping peaks and 43 triple Gaussian overlapping peaks with noise were simulated by Gaussian function model. Different wavelet basis functions were selected for spectral data denoising. With signal-to-noise ratio and root mean square error (RMSE) as evaluation indexes, coif 3 wavelet basis function was finally determined, and derivative method was used to pretreat spectral overlapping peaks. Then, AVOA-CNN was used to obtain the convolutional neural network (CNN) prediction results. The analytic results show that AVOA-CNN can decompose the overlapping peaks successfully and with high accuracy, and that the parameters of the double and triple Gaussian overlapping peaks (peak intensity, peak location, Peak width) are 3. 15% and 5. 90%, respectively. Finally, by comparing the sparrow search algorithm to optimize CNN, CNN and AVOA-CNN, the results show that the AVOA-CNN model has the highest prediction accuracy. [ABSTRACT FROM AUTHOR]

Transboundary water resource allocation is the core issue to alleviate water resources conflicts and realize effective management and utilization of water resources. Based on the perspective of equal negotiation, we used the Negotiation Game Model to describe the cooperation path among basin countries. Firstly, we introduced the idea of flexible weight to establish a fair and reasonable allocation mode by using a Multi-criteria Decision Model. Then, we used the negotiation game model to approximate the negotiation process of each basin country, to explore a fair and reasonable initial allocation scheme of transboundary water resources that can be generally recognized by each basin country. Taking the Lancang-Mekong River Basin (LMRB) as an example for empirical analysis, the results show that: ① The negotiation scheme proposed by each basin country based on the constraint of fair and reasonable allocation mode reflects the interest demands of each basin country, but the sum of the ideal water rights allocation ratio of each basin country does not meet the constraint condition equal to 100%, so negotiation is required. Each country bears a certain loss of water rights, and the reduction of water rights borne by each basin country ranges from zero to 5. 02%; ② The average satisfaction of the optimized allocation scheme under different preference scenarios is above 90%, which has higher satisfaction and stability compared with the negotiation scheme proposed by each basin country. It indicates that finding the optimal solution of water resource allocation based on the subject satisfaction function considers the interest demands of each basin country, which can improve the acceptability of the transboundary water rights allocation scheme; ③ Under different allocation scenarios, the proportion of transboundary water rights allocated to China and Thailand is higher, while the proportion allocated to Myanmar is lower. From the perspective of the change rate and the average satisfaction of each basin country before and after the negotiation, the transboundary water rights allocation scheme under the preference equity scenario and preference efficiency scenario is the less controversial scheme for each basin country. This study aims to improve the rationality and feasibility of transboundary water resource allocation and provide support for reducing water resource conflicts. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Academic Library & Information Science is the property of Anhui University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The risk of chlorinated vinyl carbonate fluorination was studied by adiabatic accelerated calorimeter (ARC) and reaction calorimeter(RC1), and the high-risk process was optimized by solvent method. The results show that the solvent-free process is extremely dangerous, and by selecting dimethyl carbonate and diethyl carbonate as the solvent of the reaction system for process optimization, diethyl carbonate solvent method found to be a less hazardous process, the adiabatic temperature rise(ATad) of the reaction process is 114.70 K, the maximum temperature(MTSR) of the synthesis reaction is 125.40 °C, and the maximum reaction rate arrival time under adiabatic is 24 h・ The corresponding temperature (TD24) is 161 ・ 00 °C, the risk level of the optimized process matrix is I, the process risk degree is reduced to 1, and the thermal safety of the process is significantly improved. [ABSTRACT FROM AUTHOR]

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