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Objective To investigate the value of HALP+NIHSS score in predicting the prognosis of patients with large artery atherosclerosis (LAA) cerebral infarction. Methods A retrospective analysis was performed for the clinical data of 500 patients who were diagnosed with LAA cerebral infarction in our hospital from January 2020 to October 2021. On day 30 after di-sease onset, modified Rankin Scale (mRS) score was used to evaluate clinical outcome, and according to the mRS score, the patients were divided into good prognosis group (mRS score ≤2) and poor prognosis group (mRS score >2). Related clinical data were compared between the two groups. A logistic regression analysis was used to evaluate the influencing factors for poor prognosis in patients with LAA cerebral infarction, and the receiver operating characteristic (ROC) curve was plotted to analyze the value of NIHSS score, HALP score, and NIHSS+HALP score in predicting the prognosis of patients with LAA cerebral infarction. Results The multivariate logistic regression analysis showed that old age, hypertension, high NIHSS score, and increased low-density lipoprotein level were risk factors for poor prognosis in patients with LAA cerebral infarction (P

In order to determine the physiological mechanism of drought resistance of northern wheat in China, six drought resistant wheat and one sensitivity to drought wheat were planted in pots. They were subjected to drought treatment and normal water when the plants grew to the 3-leaf stage. Samples were collected at 10, 20, 30, and 40 days after the drought treatment, respectively. The electrical conductivity, photosynthetic parameters, chlorophyll fluorescence parameters, sugar content, proline content, protein content, and active oxygen scavenging enzyme activity of the plants were detected, and the agronomic traits of the wheat varieties were investigated at maturity. The results indicated that the phenotype and yield-related factors of Darkhan 144 changed little under the drought stress. The relative electrical conductivity of Kefeng 6 and Darkhan 166 was lower under the drought stress, and their cell membrane was less damaged. The Darkhan 144 and Darkhan 166 had higher drought resistance coefficients, and were the wheat varieties with stronger drought resistance. However, the physiological mechanisms of drought resistance of these three wheat were different: Darkhan 144 maintained a higher photosynthetic activity under the drought stress; Darkhan 166 maintained a higher protein content, photosynthetic activity and active oxygen scavenging enzyme activity. In addition, other drought-resistant varieties Kefeng 6, Kefeng 10 and Longmai 26 had a higher content of osmoregulatory substances under the drought stress. [ABSTRACT FROM AUTHOR]

Group shilling attacks are more threatening than individual shilling attacks due to the collusive behaviours among group members, which pose a great challenge to the credibility of recommender systems. Detection of group shilling attacks can reduce the risk caused by such attacks and ensure the credibility of recommendations. The existing methods for detecting group shilling attacks mainly extract features from the rating patterns of users at group level to measure the shilling behaviours of groups. However, they may become ineffective with the change of attack strategy, resulting in a decrease in detection performance. Aiming at this problem, a new solution based on user multi-dimensional features and collusive behaviour analysis is presented for detecting group shilling attacks. First, we employ the information entropy and latent semantic analysis to analyse the user behavioural patterns from dimensions of item, rating, time and interest, and propose a suite of indicators to measure the anomaly behaviours of users. Second, we propose a measure based on the multi-dimensional features of users to capture the collusion of group members from the perspective of their synchronized behaviours and abnormal behaviours, and treat the groups with high collusion as candidate groups. Finally, based on the multi-dimensional features of users, we construct the user behaviour similarity matrix using Gaussian radial basis function (Gaussian-RBF) and adopt the spectral clustering algorithm to spot group shilling attackers in the candidate groups. Experiments show that the detection performance (F1-measure) of the proposed method can achieve 0.965, 0.964, 0.991 and 0.868 on the Netflix, CiaoDVD, Epinions and Amazon datasets, respectively, which is better than that of state-of-the-art methods. [ABSTRACT FROM AUTHOR]

Background: Arterial spin labeling (ASL) has been proven to be effective in ischemia‐induced acute kidney injury (AKI); however, validation of ASL magnetic resonance imaging (MRI) is limited in AKI in the presence of cirrhosis. Purpose: To investigate the feasibility of ASL in revealing renal blood flow (RBF) changes in kidney injury in the presence of cirrhosis and to assess its value in the early diagnosis of disease. Study Type: Longitudinal. Animal Model: Rats were randomized into baseline group (N = 3), sham surgery group (N = 18), and common bile duct ligation (BDL) group (N = 48). All groups were divided into six subgroups based on different sacrificed time points. Field Strength/Sequence: 3 T scanner, prototypic pulsed ASL sequence using flow‐sensitive alternating inversion recovery preparation, half‐Fourier acquisition single‐shot turbo spin echo sequence. Assessment: RBF measurement was performed by ASL. Hematoxylin–eosin (HE) score, Hypoxia‐inducible factor‐1alpha (HIF‐1α) score, peritubular capillar (PTC) density, alanine aminotransferase, aspartate aminotransferase, serum total bilirubin, total bile acids, serum creatinine (Scr), and blood urea nitrogen (BUN) were harvested. Statistical Tests: Analysis of variance, Pearson's correlation coefficient, and receiver operating characteristic curves were performed. P < 0.05 was considered statistically significant. Results: RBF, HE score, HIF‐1α score, and PTC density after BDL were significantly different from baseline. RBF was highly correlated with HE score, HIF‐1α score, and PTC density (r = −0.7598, r = −0.7434, r = 0.6406, respectively). RBF and Scr began to differ significantly from baseline at day 3 and 7 after intervention, respectively. The areas under the curves of RBF, Scr, and BUN for distinguishing non‐AKI from AKI in cirrhosis were 1.00, 0.888, and 0.911, while those for distinguishing mild from severe kidney injury were 0.961, 0.830, and 0.857, respectively. Data Conclusion: ASL allows the longitudinal assessment of the degree of AKI induced by cholestatic cirrhosis in rats and can serve as a noninvasive marker for the early and accurate diagnosis of AKI. Level of Evidence: 2 Technical Efficacy Stage: 2 [ABSTRACT FROM AUTHOR]