59 research outputs found

    Research on the Integrated Development Mode of Pastoral Agriculture

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    As an emerging thing different from traditional agriculture, the pastoral complex covers a wide range. This paper mainly designs the agricultural landscape under the concept of the pastoral complex to create a more attractive park, attract more tourists to travel and consume here, develop the local economy, improve local income, and promote the implementation of the rural revitalization strategy in the local area. This paper combines theory with practice, broadens the application methods and theoretical framework of the design of rural complexes, has specific reference value for the research of the design of rural complexes, is conducive to the construction of rural landscapes and the protection of rural ecology, arouses people’s re-examination of the construction of rural landscape, and has specific theoretical and practical significance for the development of rural landscape and the implementation of rural revitalization strategy

    OTIEA:Ontology-enhanced Triple Intrinsic-Correlation for Cross-lingual Entity Alignment

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    Cross-lingual and cross-domain knowledge alignment without sufficient external resources is a fundamental and crucial task for fusing irregular data. As the element-wise fusion process aiming to discover equivalent objects from different knowledge graphs (KGs), entity alignment (EA) has been attracting great interest from industry and academic research recent years. Most of existing EA methods usually explore the correlation between entities and relations through neighbor nodes, structural information and external resources. However, the complex intrinsic interactions among triple elements and role information are rarely modeled in these methods, which may lead to the inadequate illustration for triple. In addition, external resources are usually unavailable in some scenarios especially cross-lingual and cross-domain applications, which reflects the little scalability of these methods. To tackle the above insufficiency, a novel universal EA framework (OTIEA) based on ontology pair and role enhancement mechanism via triple-aware attention is proposed in this paper without introducing external resources. Specifically, an ontology-enhanced triple encoder is designed via mining intrinsic correlations and ontology pair information instead of independent elements. In addition, the EA-oriented representations can be obtained in triple-aware entity decoder by fusing role diversity. Finally, a bidirectional iterative alignment strategy is deployed to expand seed entity pairs. The experimental results on three real-world datasets show that our framework achieves a competitive performance compared with baselines

    Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

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    Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

    A Study of Carbon Emission Driving Factors of a Metal Chemical Enterprise in China Based on the LMDI Model

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    The chemical industry is a typical high-carbon emitting industry, and achieving the goal of net zero emissions by 2050 is challenging. Therefore, metal chemical enterprises have to explore a special path of low-carbon development. This article conducted a case study on a Chinese metal chemical production enterprise with a processing scale of 28,000 t/year. Starting from the analysis of energy consumption carbon emissions, this article used available statistical data at the enterprise level to build a carbon emission estimation model for the enterprise combining different emission categories. Moreover, we also calculated the carbon emissions and carbon emission intensity of the enterprise from 2014 to 2022. Further quantitative analyses on the impact of production scale, energy efficiency, energy structure, and emission coefficient on carbon increment were also conducted using a logarithmic mean divisia index (LMDI) model. The results showed that the reduction in carbon emissions of the enterprise during the research period was due to the improvement of energy efficiency, while the production scale and energy structure served as important driving factors. Based on the results, this article proposes some policy suggestions on the future direction and focus of the enterprise’s carbon reduction work

    Identification of different species of Zanthoxyli Pericarpium based on convolution neural network.

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    Zanthoxyli Pericarpium (ZP) are the dried ripe peel of Zanthoxylum schinifolium Sieb. et Zucc (ZC) or Zanthoxylum bungeanum Maxim (ZB). It has wide range of uses both medicine and food, and favorable market value. The diverse specifications of components of ZP is exceptional, and the common aims of adulteration for economic profit is conducted. In this work, a novel method for the identification different species of ZP is proposed using convolutional neural networks (CNNs). The data used for the experiment is 5 classes obtained from camera and mobile phones. Firstly, the data considering 2 categories are trained to detect the labels by YOLO. Then, the multiple deep learning including VGG, ResNet, Inception v4, and DenseNet are introduced to identify the different species of ZP (HZB, DZB, OZB, ZA and JZC). In order to assess the performance of CNNs, compared with two traditional identification models including Support Vector Machines (SVM) and Back Propagation (BP). The experimental results demonstrate that the CNN model have a better performance to identify different species of ZP and the highest identification accuracy is 99.35%. The present study is proved to be a useful strategy for the discrimination of different traditional Chinese medicines (TCMs)

    Heat-Activated Persulfate Oxidation of Diuron in Water

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    Heat-activated persulfate oxidation of diuron, a commonly found herbicide in groundwater, was evaluated in this study. Sulfate radicals SO4- was the principal oxidizing agent responsible for the diuron degradation. The diuron decomposition exhibited a pseudo-first-order kinetics pattern at all the conditions tested. The observed rate constants determined at 50-70°C well fit the Arrhenius equation, yielding an activation energy of 166.7±0.8kJmol-1. Temperature, persulfate dose, initial diuron concentration, pH, and three common groundwater solutes (CO32-,HCO3-, and Cl-), to different degrees, influenced the degradation. Typically, high temperature, high persulfate dose, and low initial diuron concentration increased the decomposition rate of diuron. At the tested pH range of 5.5-8.1, the highest degradation rate (kobs=0.18min-1) occurred at pH 6.3. The three groundwater anions inhibited the diuron decomposition with the following order: CO32-\u3eHCO3-\u3eCl- The major oxidation products in this study were C15H15ON3Cl4 (P3, m/z=376.2), C16H16O4N3Cl4 (P4, m/z=420.3), and C17H17O7N3Cl4 (P5, m/z=465.4), different from those produced during hydroxyl radical-induced advanced oxidation. The in situ chemical oxidation (ISCO) technology can be achieved in practice through combination with in situ thermal remediation

    Selective Value Difference Metric

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    Degradation of Antipyrine by Heat Activated Persulfate

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    Heat activated persulfate is an emerging water treatment technology utilizing highly active sulfate radicals (SO4-) as the principal oxidizing agent. The objective of this study was to evaluate the degradation of antipyrine, a representative pharmaceutically active compound, in a heat-activated persulfate system. Bench-scale kinetics tests were conducted to evaluate the impacts of key factors controlling the treatment performance, including pH, chloride, alkalinity, dissolved oxygen, dissolved organic matters, chemical addition mode, and water matrices. Under different experimental conditions, the antipyrine degradation exhibited a pseudo-first-order kinetics pattern (R2 \u3e 0.95). Solution pH influenced the treatment efficiency because the fractions of different oxidizing agents were pH-dependent. SO4- predominated under an acidic condition, while hydroxyl radicals (OH+) gradually prevailed at a basic condition. Chloride could enhance the degradation at an appropriate concentration ([Cl -1]:[persulfate] = 10:1 in this study achieved a 80% removal of antipyrine within 2 h), but inhibited the treatment at other levels. The alkalinity species apparently reduced the reaction rate (kobs decreased from 7.5 × 10-3 s-1 to 3.4 × 10 -3 s-1 when [HCO3]0:[Persulfate] 0 was increased from 0:1 to 200:1). Dissolved organic matter decreased the antipyrine degradation rate by 76% when initial DOC increased from 0 to 10 mg/L due to their competition for sulfate radicals. Anaerobic condition (dissolved oxygen = 0.01 mg/L) improved the kobs by 20% compared with an aerobic condition (dissolved oxygen = 8.20 mg/L). A single step of persulfate addition favored the antipyrine degradation rate. The findings demonstrate that the heat-activated persulfate oxidation is a promising technology for water pollution caused by emerging contaminants such as pharmaceuticals, and the treatment is optimized only after the impacts of water characteristics and operation methods are carefully considered
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