The functions and characters of USTCXAFS 2.0 software package were described in detail, which is a standrd data analysis program for analyzing EXAFS data at the window desktop.
ve, we have focused on sharing our content with those in need, enhancing community philanthropy, reducing our carbon impact, crea ng global guidelines and best prac ces for paper use, establishing a vendor code of ethics, and engaging our colleagues and other stakeholders in our e orts.
The correlation between cuff inflatable hypertension and the difference in interarm diastolic pressure induced by single arm ischemia is investigated. A total of 126 patients undergoing coronary angiography in our hospital from January 2020 to January 2021 are selected and divided into the non-pseudohypertension (non-PHT) group (64 cases) and the PHT group (62 cases) according to the difference between systolic blood pressure and diastolic blood pressure measured directly and indirectly. The patients are subjected to the beam arm ischemia test and blood pressure measurement. The diastolic pressure differences between the patients before and after the beam arm are analyzed, and endothelial function and imaging indicators are compared. The risk factors for PHT are analyzed by binary logistic regression, and the diagnostic efficacy of diastolic blood pressure difference interarms (DBPI-r) for PHT patients is analyzed by receiver operating characteristic (ROC) curve. The experimental results show that the diastolic pressure difference induced by single arm ischemia can be used in the diagnosis of cuff inflatable hypertension.
Abstract Background Nowadays, the internal fixation has been an effective way for calcaneal fractures treatment. However, high risk of infection was found after the internal fixation, and the mechnism remains unclear. Objective In this work, we systematically preformed a comparative proteomic analysis between necrotic tissues and normal soft tissues aiming to find the molecular changes of the tissue during the fixation. Method The necrotic tissues (NTs) samples (n = 3) and the normal soft tissues control (NC) samples (n = 3) which was 2 -3 cm away from the NT were collected after the surgery. ALC-MS/MS analysis. A label free quantitation stragy was used to compare the proteome alterations followed by detailed bioinformatic analysis. Results A total of 902 and 1286 protein groups were quantified in the NT group and the NC group separately, with 233 proteins upregulated and 484 proteins downregulated in the NT group. Those differently expressed proteins were highly correlated with the metabolic pathways, especially those downregulated proteins in the necrotic tissue indicating an inacitive cell states in the nearby of the plate internal fixation. In addition, the detailed functiona analysis showed that the the upregutated proteins in necrotic tissue were highly enriched in the disease-related functions. Conclusion This alerted us to clean the wound in time and found a safer strategy for internal fixation. Altogether, the emerging understanding of the proteomic properties in the necrotic tissue will guide the development of new strategies for internal fixation of calcaneal fractures
A modified pseudocovariance matrix is described which can improve the performance of Kim 's ("Fast DOA estimation algorithm using pseudocovariance matrix," IEEE Trans. Antennas Propagat., vol. 53, no. 4, pp. 1346-1351, Apr. 2005) algorithm to realize the fast direction finding with single snapshot in coherent or uncorrelated case. By adding the backwards formulation of pseudocovariance matrix, the rank of pseudocovariance matrix is enhanced. Then a set of pseudocovariance matrices are constructed by circularly shifting the matrix. By weighted averaging, a modified pseudocovariance matrix is reconstructed whose noise is reduced. The proposed matrix has less array element loss than that of the original matrix. Moreover, this algorithm can be applied in the lower signal-noise-ratio (SNR) through noise preprocessing. The new matrix has expanded the application of high-resolution direction finding to nonuniform linear array (NLA), since traditional methods usually assume the array is uniform linear when handling coherent sources. Simulations are conducted to compare the performance of the modified method and the original method. The results illustrate that the high performance of DOA estimate could be obtained rapidly
Szemerédi’s Regularity Lemma (SRL) is a crucial tool in the analysis of large graphs, having made significant contributions in the proof of some sensational results in mathematics. Traditional methods for studying proteins in Protein–Protein Interaction (PPI) networks typically only extract the first-order or second-order neighbor information of proteins, ignoring the potential third-order or higher-order neighbor information between proteins, which may hide certain relationships between proteins. To explore more in-depth insights for PPI networks, we take into account the fourth-order neighbor information of proteins and reconstruct the network in this paper, naming it the weighted dense PPI network. We then partition it using SRL, which primarily utilizes the structural information and corresponds to a unique partition of the original network. Bioinformatics analyses such as those for pathway enrichment analysis and multiple sequence alignment show that our method can classify interacting protein pairs, grouping proteins with functional association, disease association, and sequence similarity together. Overall, this paper has three essential contributions: (1) we present a new model to overcome the astronomically large demand of vertices in applying SRL, and achieve protein classification; (2) we reconstruct a weighted dense PPI network which can make SRL work and mine potential interactions more efficiently; and (3) proteins in the same class partitioned by our method not only have sequence similarity, but also have functional associations.
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