19 research outputs found

    Implementasi Algoritma K-Nearest Neighbour Untuk Menentukan Nomor Klasifikasi Buku Studi Kasus: Perpustakaan Universitas Katolik Musi Charitas)

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    Classification of library books is important to allow visitors in search of a book. The classification system in the library of the Catholic University of Charity Musi using guide books dewey decimal classification (DDC). The problem in this research is the difficulty in determining the classification number of new books. By utilizing the methods of Information Retrieval (IR) or retrieval of information, so in this study will build an application program for classification of library books. The method will be used to classify the book library is a method of k-nearest neighbor (k-NN). The application program classification of library books is built with training data from library books Musi-Caritas Catholic University and the test data is a new book. Applications are made capable of classifying new library book

    DataSheet1_A computational model-based study on the feasibility of predicting post-splenectomy thrombosis using hemodynamic metrics.PDF

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    For portal hypertensive patients with splenomegaly and hypersplenism, splenectomy is an effective surgery to relieve the complications. However, patients who have undergone splenectomy often suffer from portal venous system thrombosis, a sequela that requires prophylaxis and timely treatment to avoid deterioration and death. The aim of this study is to investigate the feasibility of predicting post-splenectomy thrombosis using hemodynamic metrics based on computational models. First, 15 portal hypertensive patients who had undergone splenectomy were enrolled, and their preoperative clinical data and postoperative follow-up results were collected. Next, computational models of the portal venous system were constructed based on the preoperative computed tomography angiography images and ultrasound-measured flow velocities. On this basis, splenectomy was mimicked and the postoperative area of low wall shear stress (ALWSS) was simulated for each patient-specific model. Finally, model-simulated ALWSS was statistically compared with the patient follow-up results to investigate the feasibility of predicting post-splenectomy thrombosis using hemodynamic metrics. Results showed that ALWSS could predict the occurrence of post-splenectomy thrombosis with the area under the receiver operating characteristic curve (AUC) equal to 0.75. Moreover, statistical analysis implied that the diameter of the splenic vein is positively correlated with ALWSS (r = 0.883, p < 0.0001), and the anatomical structures of the portal venous system also influence the ALWSS. These findings demonstrated that the computational model-based hemodynamic metric ALWSS, which is associated with the anatomorphological features of the portal venous system, is capable of predicting the occurrence of post-splenectomy thrombosis, promoting better prophylaxis and postoperative management for portal hypertensive patients receiving splenectomy.</p

    Vulnerability evaluation indicator system for urban agglomerations along the Yellow River.

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    Vulnerability evaluation indicator system for urban agglomerations along the Yellow River.</p

    Specific overview of the urban agglomerations along the Yellow River.

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    Specific overview of the urban agglomerations along the Yellow River.</p

    Classification of vulnerability.

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    Urban agglomerations are sophisticated territorial systems at the mature stage of city development that are concentrated areas of production and economic activity. Therefore, the study of vulnerability from the perspective of production-living-ecological space is crucial for the sustainable development of the Yellow River Basin and global urban agglomerations. The relationship between productivity, living conditions, and ecological spatial quality is fully considered in this research. By constructing a vulnerability evaluation index system based on the perspectives of production, ecology, and living space, and adopting the entropy value method, comprehensive vulnerability index model, and obstacle factor diagnostic model, the study comprehensively assesses the vulnerability of the urban agglomerations along the Yellow River from 2001 to 2020. The results reveal that the spatial differentiation characteristics of urban agglomeration vulnerability are significant. A clear three-level gradient distribution of high, medium, and low degrees is seen in the overall vulnerability; these correspond to the lower, middle, and upper reaches of the Yellow River Basin, respectively. The percentage of cities with higher and moderate levels of vulnerability did not vary from 2001 to 2020, while the percentage of cities with high levels of vulnerability did. The four dimensions of economic development, leisure and tourism, resource availability, and ecological pressure are the primary determinants of the urban agglomeration’s vulnerability along the Yellow River. And the vulnerability factors of various urban agglomerations showed a significant evolutionary trend; the obstacle degree values have declined, and the importance of tourism and leisure functions has gradually increased. Based on the above conclusions, we propose several suggestions to enhance the quality of urban development along the Yellow River urban agglomeration. Including formulating a three-level development strategy, paying attention to ecological and environmental protection, developing domestic and foreign trade, and properly planning and managing the tourism industry.</div

    Analysis of spatial variability within the urban agglomerations along the Yellow River, 2001–2005, 2006–2010, 2011–2015 and 2016–2020.

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    Analysis of spatial variability within the urban agglomerations along the Yellow River, 2001–2005, 2006–2010, 2011–2015 and 2016–2020.</p

    Urban agglomerations along the Yellow River’s vulnerability trends, 2001–2020.

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    Urban agglomerations along the Yellow River’s vulnerability trends, 2001–2020.</p

    Obstacle factors and obstacle degree in 2001 and 2020 for the urban ag-glomerations along the Yellow River.

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    Obstacle factors and obstacle degree in 2001 and 2020 for the urban ag-glomerations along the Yellow River.</p

    Naphthylamine–Rhodamine-Based Ratiometric Fluorescent Probe for the Determination of Pd<sup>2+</sup> Ions

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    A naphthylamine–rhodamine hybrid ratiometric and colorimetric fluorescent probe (<b>RN</b>) was designed and synthesized. <b>RN</b> can identify Pd<sup>2+</sup> ions with high selectivity and sensitivity. Furthermore, the probe can be used to monitor Pd<sup>2+</sup> ions in live mice by fluorescence imaging

    Theoretical Studies on the Mechanism of Thioesterase-Catalyzed Macrocyclization in Erythromycin Biosynthesis

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    Macrocyclic polyketides, biosynthesized by modular polyketide synthases (PKSs), have been developed successfully into generation-by-generation pharmaceuticals for numerous therapeutic areas. A great effort has been made experimentally and theoretically to elucidate the biosynthesis mechanisms, in particular for thioesterase (TE)-mediated macrocyclization, which controls the final step in the PKS biosynthesis and determines chemical structures of the final products. To obtain a better insight into the macrocyclization process (i.e., releasing step), we carried out MD simulations, QM and QM/MM calculations on complexes of 6-deoxyerythronolide B synthase (DEBS) TE and two substrates, one toward a macrocyclic product and another toward a linearly hydrolytic product. Our investigation showed the induced-fit mutual recognition between the TE enzyme and substrates: in the case of macrocyclization, a critical hydrogen-bonding network is formed between the enzyme and substrate <b>1</b>, and a hydrophobic pocket appropriately accommodates the substrate in the lid region, in which a pivotal prereaction state (<b>1</b><sub>IV′</sub>) with an energy barrier of 11.6 kcal/mol was captured on the potential energy surface calculation. Accompanied with the deprotonation of the prereaction state, the nucleophilic attack occurs with a calculated barrier of 9.9 kcal/mol and leads to the charged tetrahedral intermediate. Following the decomposition of the intermediate, the final macrocyclic product releases with a relatively low barrier. However, in the case of hydrolysis, such a prereaction state for cyclization was not observed in similar molecular simulations. These calculations are consistent with the previous biochemical and structural studies about the TE-mediated reactions. Our study indicated that the enzyme–substrate specificity stems from mutual molecular recognition via a prereaction state between DEBS TE and substrates, suggesting a prereaction-and-action mechanism in the TE macrocyclization and release of PKS product
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