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Hongquan Guo,1,&ast; Wei Xu,1,2,&ast; Xiaohao Zhang,3,&ast; Shuai Zhang,4 Zheng Dai,5 Shun Li,6 Yi Xie,3 Yingle Li,1 Jianzhong Xue,7 Xinfeng Liu1 1Department of Neurology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, Jiangsu, 210002, People’s Republic of China; 2Department of Neurology, Affiliated Changsha Central Hospital, University of South China, Changsha, Hunan, 410000, People’s Republic of China; 3Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, People’s Republic of China; 4Department of Neurology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, 225001, People’s Republic of China; 5Department of Neurology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, Jiangsu, 214023, People’s Republic of China; 6Department of Cerebrovascular Disease Treatment Center, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, 210002, People’s Republic of China; 7Department of Neurology, Changshu No.2 People’s Hospital, Changshu, Jiangsu, 215500, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Xinfeng LiuDepartment of Neurology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, No. 305 East Zhongshan Road, Nanjing, 210002, Jiangsu Province, People’s Republic of ChinaTel +86 2584801861Fax +86 2584805169Email xfliu2@vip.163.comJianzhong XueDepartment of Neurology, Changshu No.2 People’s Hospital, No. 18 Taishan Road, Changshu, Jiangsu Province, People’s Republic of ChinaTel +86 13506247572Email xjz2021@sina.comBackground and Aims: A reliable predictive score system to identify the risk of symptomatic intracranial hemorrhage (sICH) after intravenous thrombolysis (IVT) in acute ischemic stroke patients is of great essence. We aimed to develop a nomogram for predicting the risk of sICH after IVT in Chinese patients.Methods: We recruited acute ischemic stroke patients who were treated with IVT from five advanced stroke centers in China from April 2014 to November 2020. sICH was diagnosed according to the European Cooperative Acute Stroke Study II (ECASS-II) definition. Multivariable logistic regression was performed to construct the best-fit nomogram. The discrimination and calibration of the nomogram were evaluated by the area under the receiver operating characteristic curve (AUC-ROC) and calibration plot.Results: A total of 1200 patients were enrolled, of whom 66 (5.5%) developed sICH. In the multivariate logistic regression model, atrial fibrillation (odds ratio [OR] 3.25; 95% confidence interval [CI], 1.89− 5.60; P < 0.001), baseline glucose level (OR, 1.13; 95% CI, 1.07− 1.20; P < 0.001), neutrophil to lymphocyte ratio (OR, 1.05; 95% CI, 1.01− 1.09; P = 0.024) and baseline National Institute of Health Stroke Scale (NIHSS) (OR, 1.07; 95% CI, 1.04− 1.10; P < 0.001) were independent predictors for sICH and were used to generate the nomogram. The nomogram demonstrated good discrimination as the AUC-ROC value was 0.788 (95% CI, 0.737– 0.840). The calibration plot revealed good calibration.Conclusion: The nomogram consisted of atrial fibrillation, baseline glucose level, neutrophil to lymphocyte ratio, and NIHSS score may predict the risk of sICH in Chinese acute ischemic stroke patients treated with IVT.Keywords: stroke, intravenous thrombolysis, symptomatic intracranial hemorrhage, nomogram, predict

We assessed the value of computed tomography (CT) and automated Alberta Stroke Program Early CT Score (ASPECTS) with net water uptake (NWU) to predict stroke onset time. Two-hundred forty stroke patients with anterior circulation large-vessel occlusion were included. CT-ASPECTS-NWU values were calculated by comparing the mean Hounsfield units of affected ASPECTS regions with unaffected contralateral regions. The correlation between ASPECTS-NWU and stroke onset to CT time was assessed. ASPECTS-NWU predictive values were calculated to identify a stroke onset to CT time of within 4.5/6 h. A correlation existed between stroke onset to CT time and ASPECTS-NWU (r = 0.65, p

This study aimed to use the automated Alberta Stroke Program Early CT Score (ASPECTS) software to assess the value of different CT modalities (non-contrast CT, CT angiography [CTA]-arterial, CTA-venous, and arterial- and venous-phase mismatch-ASPECTS) in predicting the final infarct extent and clinical outcome in large-vessel occlusion stroke.This retrospective study included patients with large-vessel occlusion stroke who underwent reperfusion therapy during 2015 to 2019. Correlations between different CT-ASPECTS modalities and follow-up CT-ASPECTS and outcome were determined using Spearman rank correlation coefficient. Receiver operating characteristic curve analysis was used to assess the ability of different CT-ASPECTS modalities to identify patients with good outcomes.One hundred and thirty-five patients were included. We found almost-perfect correlation between CTA-venous-ASPECTS and follow-up CT-ASPECTS (r = 0.92; 95% CI: 0.89-0.95), better than that in other CT modalities. The 90-day modified Rankin scale (mRS) score substantially correlated with CTA-venous-ASPECTS (r = -0.64; 95% CI: -0.73 to -0.52). The ROC curve analysis showed CTA-venous-ASPECTS had the highest area under the curve (AUC: 0.82; 95% CI: 0.75-0.89; P 0.001), followed by mismatch-ASPECTS (AUC: 0.75; 95% CI: 0.65-0.85; P 0.001). When emphasizing the sensitivity for identifying patients with good outcomes, the best cut-off point of mismatch-ASPECTS was -3 with the highest sensitivity (91.30%).CTA-venous-ASPECTS is a reliable tool to predict the infarct extent and outcome. Furthermore, mismatch-ASPECTS may represent images in different angiographic phases and was sensitive for prognosis prediction.

In recent years, mobile internet technology and positioning technology have been rapidly developed and widely used, mobile users can enjoy location-based services through mobile smart devices anywhere and anytime. However, they may lead to the leakage of personal sensitive information such as user's spatial temporal location data and so on. Trying to solve this problem and overcoming the shortcoming of traditional randomized dummy generation algorithm, a real-time location privacy protection algorithm based on spatial transform is proposed in the paper, without influencing the quality of user real-time location service. The algorithm uses the number of interest points in the history log file and the road network topology as the key elements of the query context and the motion model, which makes the generated dummy more realistic and effective in both time and space dimension. And the dummy set is encrypted by using the algorithm based on Hilbert space transformation, to make the user query data more secure. The results of experiment show that the algorithm can improve the effectiveness of dummy and gain better obfuscation query result in condition of preserving user privacy information.

The size distribution and canting angle distribution for non-spherical rain drops are taken into account. Utilizing the Muller matrix, the backscattering power densities are computed at different rain rate and different polarization in millimeter waves band, according the rainfall condition in Xi'an, China. Finally the results obtained are discussed.

A method of determining the rationality for raindrop size distribution is first presented. The relative volume occupied by raindrops is derived. The attenuation and cross-polar discrimination induced by rainfall at millimeter waves are investigated with the incoming expression and a brief analysis is presented.

The reflection and transmission of an incident Gaussian beam by a uniaxial anisotropic slab are investigated, by expanding the incident Gaussian beam, reflected beam, internal beam as well as transmitted beam in terms of cylindrical vector wave functions. The unknown expansion coefficients are determined by virtue of the boundary conditions. For a localized beam model, numerical results are provided for the normalized field intensity distributions, and the propagation characteristics are discussed concisely.

Twitter is emerging social media. There is an important practical significance to study its communication effect in many aspects of the Marketing Management, Public Sentiment, Hot Extraction and so on. The retweeting scale is an important indicator to reflect the communication effect. Based on analyzing the factors, a prediction algorithm based on SVM was proposed for retweeting with five features: publisher influence, acceptor activity, interest level, content importance and intimacy. Furthermore, the prediction algorithm for retweeting scale was proposed based above, the method to evaluate the prediction accuracy was given. At last the experiment with Twitter data showed a good result that the prediction accuracy of retweeting scale was up to 86.63%.

Within the generalized Lorenz–Mie theory framework, an analytic solution to Gaussian beam scattering by a rotationally uniaxial anisotropic sphere is presented. The scattered fields as well as the fields within the anisotropic sphere are expanded in terms of infinite series with spherical vector wave functions by using an appropriate expansion of the incident Gaussian beam. The unknown expansion coefficients are determined from a system of linear equations derived from the boundary conditions. Numerical results of the normalized differential scattering cross section are shown, and the scattering characteristics are discussed concisely.

Based on the generalized Lorenz-Mie theory (GLMT) that provides the general framework and expansion of the incident shaped beam in terms of cylindrical vector wave functions, an analytic solution to the electromagnetic scattering by coated infinite cylinders is constructed, for arbitrary incidence of a shaped beam. As an example, for a tightly focused Gaussian beam propagating perpendicular to the cylinder axis, the scattering characteristics that obviously demonstrate the three-dimensional nature are described in detail.

In the detection and identification of a target, the position fusion of the measurements for sensors is necessary and the target's optimization trajectory is required for recognizing. A new position fusion algorithm is introduced. The measurements from multisensors (such as TV, IR, laser, radar, and so on) can be fused so as to achieve result of higher accuracy. The instantaneous weight values of the data are obtained utilizing the weight reciprocal propagation (WRP) to achieve a positional fusion to a single target. The simulations show that the method is an effective distributed fusion algorithm.