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ObjectiveTo analyze the factors affecting the cost of hospitalization for patients and provide insights using the intrauterine lesion surgery group (DRG code NE19) as an example.MethodsThis study was a retrospective cross-sectional study, with data from the first page of medical records of patients enrolled under NE19 at a comprehensive tertiary hospital in Beijing from March 15, 2022 to November 30, 2023. Influence factor selection and multifactorial linear regression analysis were conducted with hospitalization cost as the dependent variable, and patient's basic information, treatment information and key concern factors as independent variables. The profit and loss of medical records containing key factors and differences in indicators of hospitalization cost structure were analyzed in the context of clinical practice.ResultsA total of 2213 valid medical records (all female patients) were included, with patients predominantly young and middle-aged women under 45 years of age (72.12%), and with 931 day surgery medical records (42.07%). The diagnosis records included 334(15.09%) multiple uterine leiomyomas, and 246(11.12%) pelvic adhesions. A total of 150(6.78%) medical records involved ovary- and tubal-related surgeries or manipulations, with 160(7.23%) main operations being laparoscopic hysterectomy of diseased uterine lesions and 38(1.72%) mechanical rotational excision of abnormal uterine tissue using transhysteroscopy. Linear regression analysis showed that whether or not ovarian and tubal surgical operations were involved (βi=0.30), whether or not the main operation was laparoscopic hysterectomy for uterine lesions (βi=0.30), and whether or not transhysteroscopic mechanical rotational excision of abnormal uterine tissue was used (βi=0.20) had a greater impact on hospitalization costs. In the analysis of the focal factors, the percentage of patients who experienced a deficit was higher for surgical operations involving the ovaries and fallopian tubes, whether the primary operation was laparoscopic hysterotomy for uterine lesions, multiple uterine leiomyosarcomas, and pelvic adhesions (all P < 0.05), and "whether or not transhysteroscopic mechanical rotational excision of abnormal uterine tissues was used" and "whether it was a day surgery" had a significant effect on several structural indicators of hospitalization costs (all P < 0.05).ConclusionsThe NE19 group of hospitals in the study had a high loss rate, and factors such as the severity of the patient's condition and the use of new technologies affected hospitalization costs, suggesting that there is room for further optimization of the existing grouping scheme. Tiered payment standards can be set up for different tiers of healthcare institutions, and a sound and optimized exclusion mechanism can be used to promote the development of new technologies. The internal management of hospitals should encourage the development of daytime surgery to improve the efficiency of medical services.

[Objective] Pipeline network companies need to forecast the short-term natural gas loads of downstream users to ensure a stable gas supply. However, traditional load forecasting methods have various problems such as poor fitting effect and low forecasting accuracy. A combined short-term natural gas load forecasting model based on the Complementary Ensemble of Empirical Mode Decomposition(CEEMD) and the Long Short-Term Memory(LSTM) network is proposed to improve the accuracy of short-term natural gas load forecasting. [Methods] To fully explore the internal hidden feature information of the load series and to avoid the mutual interference between different component features and additional noise, the original load series was decomposed into a finite number of Intrinsic Mode Function(IMF) components through CEEMD. Different IMF components were input into the LSTM model for iterative multi-step forecasting, the hyperparameters of the LSTM model were optimized based on the Bayesian algorithm to improve the learning effect and the forecasting accuracy, and the forecasting results of individual components were superimposed and reconstructed to obtain the final forecasting results. [Results] The comparison of forecasting results obtained by different combined models indicates that the errors in the values forecast by CEEMD-LSTM based on the real values are smaller, proving that the forecasting accuracy is higher. The Bayesian hyperparameter tuning further improves the forecasting accuracy but takes longer forecasting time. [Conclusion] Compared with other forecasting models, the combined CEEMDLSTM forecasting model can effectively extract the time order information of load series, eliminate the influence of nonlinear factors,and reduce reconstruction errors while suppressing modal superposition, thus improving forecasting accuracy. This method can provide a reference for the scheduling management and operation optimization of natural gas pipeline networks.

Summary: In photosynthetic cells, plants convert carbon dioxide to sugars that can be moved between cellular compartments by transporters before being subsequently metabolized to support plant growth and development. Most pathogens cannot synthesize sugars directly but have evolved mechanisms to obtain plant‐derived sugars as C resource for successful infection and colonization. The availability of sugars to pathogens can determine resistance or susceptibility. Here, we summarize current progress on the roles of sugar transporters in plant–pathogen interactions. We highlight how transporters are manipulated antagonistically by both host and pathogens in competing for sugars. We examine the potential application of this target in resistance breeding and discuss opportunities and challenges for the future. [ABSTRACT FROM AUTHOR]

A number of studies have reported that drug addiction is associated with microRNAs (miRNAs). However, the roles of plasma miRNAs in methamphetamine (METH) addicts have not been clearly explained. This study aimed to profile a panel of miRNAs as non-invasive predictive biomarkers and therapeutic targets for METH addiction. Differentially expressed miRNAs were derived from next-generation sequencing technology (NGS) and were validated by quantitative real-time PCR (RT-qPCR). The diagnostic value of specific altered miRNAs was evaluated by receiver operating characteristic (ROC) analysis and area under the curve (AUC). NGS results revealed that 63 miRNAs were significantly altered in the METH-exposed paradigm. The levels of hsa-miR-592, hsa-miR-9-3p, hsa-miR-206 and hsa-let-7b-3p were significantly elevated in the plasma of METH addicts. Hsa-miR-9-3p was a useful biomarker discriminating METH addicts from normal (AUC was 0.756). Importantly, combining detection of hsa-miR-592 and hsa-miR-9-3p achieved the highest AUC of 0.87, with a sensitivity and specificity of 82.7% and 78.9%, respectively. Target gene BDNF decreased significantly in METH addicts. Although METH addicts showed significant depressive symptoms, there was no correlation between the expression level of miR-592 and miR-9-3p and the degree of depression. Our findings suggested that hsa-miR-592, hsa-miR-9-3p, hsa-miR-206, and hsa-let-7b-3p may play a potential role in the pathology of METH addiction, and a combination of hsa-miR-592 and hsa-miR-9-3p could serve as potential peripheral biomarker and therapeutic target for METH addiction. [ABSTRACT FROM AUTHOR]

Purpose: The incidence of visceral leishmaniasis (VL), a global infectious disease, has been on the rise in China's Hebei province. When patients achieve clinical cure, they often do not reach an etiological cure, which may lead to recurrence of the disease. Here, we report a case of visceral leishmaniasis with a negative blood smear and bone marrow cytology. Patients and Methods: A 65-year-old man and bronchoalveolar lavage fluid mNGS. Results: A 65-year-old man developed a chronic fever, anorexia, splenomegaly, and pancytopenia. The blood metagenomic second-generation sequencing (mNGS) revealed Leishmania sequence readings, which led to the diagnosis of VL. After sodium antimony gluconate treatment, the blood smear and bone marrow cytology revealed no Leishmania bodies. However, pancytopenia and respiratory failure did not fully subside, and cardiotoxic damage emerged. The bronchoalveolar lavage fluid (BALF) mNGS was performed to detect the pathogen. Through BALF mNGS, Leishmania sequence was still detectable. Therefore, after the ECG returned to normal, antimony sodium gluconate was administered as a next course of treatment. Conclusion: BALF mNGS may assist in evaluating the therapeutic efficacy of VL with respiratory failure, especially in patients with negative blood and bone marrow cytology. Plain Language Summary: Accurate detection of visceral leishmaniasis is essential for clinical diagnosis.It is uncommon to use alveolar lavage fluid mNGS in etiological diagnosis.Patient with negative bone marrow cytology may refer to alveolar lavage fluid mNGS. [ABSTRACT FROM AUTHOR]

IntroductionIn recent years, with the popularity of many social media platforms worldwide, the role of “virtual social network platforms” in the field of cross-cultural communication has become increasingly important. Scholars in psychology and neuroscience, and cross-disciplines, are attracted to research on the motivation, mechanisms, and effects of communication on social media across cultures.Methods and AnalysisThis paper collects the co-citation of keywords in “cultural psychology,” “cross-culture communication,” “neuroscience,” and “social media” from the database of web of science and analyzes the hotspots of the literature in word cloud.ResultsBased on our inclusion criteria, 85 relevant studies were extracted from a database of 842 papers. There were 44 articles on cultural communication on social media, of which 26 were from the perspective of psychology and five from the perspective of neuroscience. There are 27 articles that focus on the integration of psychology and neuroscience, but only a few are related to cross-cultural communication on social media.ConclusionScholars have mainly studied the reasons and implications of cultural communication on social media from the perspectives of cultural psychology and neuroscience separately. Keywords “culture” and “social media” generate more links in the hot map, and a large number of keywords of cultural psychology and neuroscience also gather in the hot map, which reflects the trend of integration in academic research. While cultural characteristics have changed with the development of new media and virtual communities, more research is needed to integrate the disciplines of culture, psychology, and neuroscience.

The integration of culture and tourism has become an important factor in the development of the cultural tourism industry, and a quantitative measure of the degree of integration is important for understanding and promoting the high-quality development of the global cultural tourism industry. This study aims to put forward a comprehensive analysis model to show the development trend of cultural and tourism integration, measure the degree of cultural and tourism integration, and analyze the factors affecting the regional heterogeneity of cultural and tourism integration. Using the spatial quantification method of entropy, the spatial coupling coordination degree model, and the geographical weighting model, this paper analyzes the effect and influencing factors of cultural and tourism integration in various districts and counties in Beijing. The results show that the cultural tourism resource endowment of Beijing presents an upward trend and a gradual spillover trend, with obvious spillover to the east and north. The effect of district integration in Beijing has gradually weakened from the city center to the outside, but there is still a serious phenomenon of two levels of differentiation. Factors such as the economic development level, tourism output, cultural output, policy support, and consumption level have spatial heterogeneity on the effect of cultural and tourism integration in each district of Beijing, but the degree of influence is small. [ABSTRACT FROM AUTHOR]

It is of great significance to find out the mutual interference mechanism between CBM drainage wells to rationally arrange well networks and improve CBM recovery. To this end, Lattice Boltzmann Method （LBM） was used to reproduce the migration process of CBM from cleat space to drainage wellhead, and the influence mechanism of different drainage parameters and mutual interference between CBM drainage wells on gas production were systematically analyzed. The results showed that the difference of gas production between wellbores showed fluctuation characteristics with the change of well spacing due to inter-well interference. If single well gas production was considered, inter-well interference had segmented effect on gas production. When the spacing of Ds between wells was less than 382.5 lu, it showed inhibiting effect; otherwise, it showed facilitation. Too small well spacing was not conducive to CBM production. When the well spacing exceeded the critical threshold of 382.5 lu, the recovery rate of CBM could be accelerated. The power law relationship ■≈3.2△p0.94 was followed by mean velocity ■ of CBM in wellhead and pressure difference △p.

The development of polysaccharide drugs requires a thorough understanding of their quantitative and pharmacokinetic properties. However, the complexity of biological samples presents a challenge for direct analysis using UHPLC-QTOF MS. Therefore, it is essential to establish a method for the selective enrichment of polysaccharides. In this study, we developed an efficient method for the quantitative determination of polysaccharides by integrating magnetic molecularly imprinted polymers (MIPs) for sample pretreatment and UHPLC-QTOF MS for analysis. The MIPs were prepared using molecularly imprinted and boric acid affinity technologies, which combined the advantages of specific recognition and reversible binding to polysaccharides. The MIPs exhibited high dispersibility and uniform particle size, and adsorption experiments demonstrated their specific recognition of BG136, a polysaccharide with immunological activity. The proposed method was used for the purification and enrichment of BG136 in plasma with recoveries between 91.29% and 113.03%. This simple method demonstrated high selectivity, fast separation, and satisfactory recoveries providing an approach for polysaccharide determination with UHPLC-QTOF MS. [ABSTRACT FROM AUTHOR]