18 research outputs found

    Study on the Implementation Path of Financial Support for Rural Revitalization

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    Rural revitalization is an important strategy of the Chinese government to solve the new “three rural” problems, Carrying out rural vitalization work, It creates a whole set of financial needs. This paper analyzes the current situation and existing problems of China’s financial support for rural revitalization, And then put forward financial support for rural revitalization related suggestions

    Preliminary investigation of intraperitoneal raltitrexed in patients with gastric cancer

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    BACKGROUND: Peritoneal implantation metastasis of gastric cancer is the major reason for cancer recurrence after radical operations. As a new chemotherapeutic agent, raltitrexed has been widely used in intravenous chemotherapy for many kinds of cancers. However, no study has reported the efficacy and safety of raltitrexed in intraperitoneal chemotherapy. This study aimed to explore the safety of intraperitoneal chemotherapy with raltitrexed during gastric cancer operation compared to normal saline (NS) rinsing of the abdominal cavity. METHODS: In this prospective study, 91 gastric cancer patients undergoing surgery and reconstruction were consecutively enrolled and randomly assigned into two groups. Raltitrexed in NS (500 ml) was injected into the abdominopelvic cavity for the patients in the RT group (n = 48), while for the patients in the group NS (n = 43), only NS (500 ml) was injected. The postoperative complications, gas passage time, and adverse effects, according to NCI-CTCAE v3.0, were compared between the two groups. RESULTS: There were no significant differences in age, sex, cancer pathological type, clinical stage or operation method between the two groups (all P >0.05). No significant difference was observed in adverse effects and postoperative complications between the two groups (all P >0.05). No significant change was found in the levels of red blood cells, white blood cells, platelets, lactate dehydrogenase, blood urea nitrogen, and alanine aminotransferase before and after the operation for both groups (all P >0.05). All adverse events were mild or moderate by NCI-CTCAE v3.0 (National Cancer Institute common terminology criteria for adverse events) grade. CONCLUSIONS: The findings of the present study demonstrate that intraperitoneal chemotherapy with raltitrexed after gastric cancer operation is safe and could be used for patients

    Raman–deuterium isotope probing to study metabolic activities of single bacterial cells in human intestinal microbiota

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    Summary: Human intestinal microbiota is important to host health and is associated with various diseases. It is a challenge to identify the functions and metabolic activity of microorganisms at the single-cell level in gut microbial community. In this study, we applied Raman microspectroscopy and deuterium isotope probing (Raman–DIP) to quantitatively measure the metabolic activities of intestinal bacteria from two individuals and analysed lipids and phenylalanine metabolic pathways of functional microorganisms in situ. After anaerobically incubating the human faeces with heavy water (D2O), D2O with specific substrates (glucose, tyrosine, tryptophan and oleic acid) and deuterated glucose, the C–D band in single-cell Raman spectra appeared in some bacteria in faeces, due to the Raman shift from the C–H band. Such Raman shift was used to indicate the general metabolic activity and the activities in response to the specific substrates. In the two individuals' intestinal microbiota, the structures of the microbial communities were different and the general metabolic activities were 76 ± 1.0% and 30 ± 2.0%. We found that glucose, but not tyrosine, tryptophan and oleic acid, significantly stimulated metabolic activity of the intestinal bacteria. We also demonstrated that the bacteria within microbiota preferably used glucose to synthesize fatty acids in faeces environment, whilst they used glucose to synthesize phenylalanine in laboratory growth environment (e.g. LB medium). Our work provides a useful approach for investigating the metabolic activity in situ and revealing different pathways of human intestinal microbiota at the single-cell level

    Psychometric properties of the Chinese version of adjustment disorder new module-20 in breast cancer patients

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    BACKGROUND: After the new definition of adjustment disorder (AjD) by the International Classification of Diseases-11(ICD-11), AjD has attracted more and more attention. Adjustment disorder new module-20 (ADNM-20), which is used to diagnose AjD, has been verified in some countries, but it has not been verified in China. As a result, the purpose of this study was to investigate the validity and reliability of the Chinese version of the Adjustment disorder new module-20 (ADNM-20) in female breast cancer patients. METHODS: The ADNM-20 translated into Chinese employed the translation and back translation technique. Three hundred fifty four newly diagnosed (< 1 year) female breast cancer patients were recruited from Tongji Hospital and Hubei Cancer Hospital in Hubei, China. The patients completed the self-report questionnaire including demographic characteristics and the scale ADNM-20. Data on psychometric properties were evaluated in terms of internal consistency, item-total correlations, test-retest reliability, and factorial validity. RESULTS: ADNM-20 core symptoms included 8 items and two factors, which were extracted by using exploratory factor analysis (EFA). It could explain 61.74% of the total variance. ADNM-20 accessory symptoms including 12 items and four factors, which were extracted by using EFA. It could explain 68.34% of the total variance. Cronbach's α coefficient for ADNM-20 was 0.93, split-half reliability was 0.87, and the test-retest correlation coefficient was 0.74. The correlation coefficient between each subscale was ranged from 0.53 to 0.71 (P < 0.01), while the correlation coefficient between the subscales and total scale was ranged from 0.79 to 0.89 (P < 0.01). CONCLUSIONS: The study verified the validity and reliability of the Chinese version of ADNM-20. It is applicable to measure the prevalence of adjustment disorder in the breast cancer population

    The Effects of Early Post-Operative Soluble Dietary Fiber Enteral Nutrition for Colon Cancer

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    We examined colon cancer patients who received soluble dietary fiber enteral nutrition (SDFEN) to evaluate the feasibility and potential benefit of early SDFEN compared to EN. Sixty patients who were confirmed as having colon cancer with histologically and accepted radical resection of colon cancer were randomized into an SDFEN group and an EN group. The postoperative complications, length of hospital stay (LOH), days for first fecal passage, and the difference in nutritional status, immune function and inflammatory reaction between pre-operation and post-operation were all recorded. The statistical analyses were performed using the t-test and the chi square test. Statistical significance was defined as p &lt; 0.05. After the nutrition support, differences in the levels of albumin, prealbumin and transferrin in each group were not statistically significant (p &gt; 0.05); the levels of CD4+, IgA and IgM in the SDFEN group were higher than that of the EN group at seven days (p &lt; 0.05); the levels of TNF-α and IL-6 in the SDFEN group were lower than that of the EN group at seven days (p &lt; 0.05); and patients in the SDFEN group had a significantly shorter first flatus time than the EN group (p &lt; 0.05). Early post-operative SDFEN used in colon cancer patients was feasible and beneficial in immune function and reducing inflammatory reaction, gastrointestinal function and speeding up the recovery

    Classification of Ground-Based Cloud Images by Improved Combined Convolutional Network

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    Changes in clouds can affect the outpower of photovoltaics (PVs). Ground-based cloud images classification is an important prerequisite for PV power prediction. Due to the intra-class difference and inter-class similarity of cloud images, the classical convolutional network is obviously insufficient in distinguishing ability. In this paper, a classification method of ground-based cloud images by improved combined convolutional network is proposed. To solve the problem of sub-network overfitting caused by redundancy of pixel information, overlap pooling kernel is used to enhance the elimination effect of information redundancy in the pooling layer. A new channel attention module, ECA-WS (Efficient Channel Attention–Weight Sharing), is introduced to improve the network’s ability to express channel information. The decision fusion algorithm is employed to fuse the outputs of sub-networks with multi-scales. According to the number of cloud images in each category, different weights are applied to the fusion results, which solves the problem of network scale limitation and dataset imbalance. Experiments are carried out on the open MGCD dataset and the self-built NRELCD dataset. The results show that the proposed model has significantly improved the classification accuracy compared with the classical network and the latest algorithms

    In Situ Generation of Fluorescent Amino Acids and Peptides via Double C–H Activation/Annulation

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    Unnatural fluorescent amino acids have been synthesized to obtain better emission wavelengths, fluorescence lifetime, and quantum yields. Despite major advances, most of them face inherent restrictions as fluorophores and are limited to the methods from coupling between amino acids and fluorophores. Herein, we develop a Rh­(III)-catalyzed double C–H activation/annulation reaction of diverse benzamides with alkynes for the synthesis of tricyclic-fused aromatic hydrocarbon carbocations. The robustness of this strategy is demonstrated by the diversification of Lys-based amino acids and peptides, in situ generating tricyclic fluorophores. This method features broad substrate scope and high atom and step economy as well as high chemo- and site selectivity. Unsymmetrical double C–H activation/annulation employing two different alkynes is well tolerated to produce the unnatural fluorescent amino acids in high yields. These tricyclic fluorophores display tunable fluorescence emission, low cytotoxicity, and the potential for specifically targeting lysosomes
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