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In this paper, we study about a method to optimize the fused track quality in intelligence network of radar target fusion system, considering the role of people in the fusion system; we start to find ways to optimize the quality of the fused track, and adaptive smoothing method is proposed based on fuzzy theory. Tests show that this method can greatly improve the quality of the fused track system for battlefield reconnaissance provides high-quality, high-reliability battlefield.

The complex language of eukaryotic gene expression remains incompletely understood. Despite the importance suggested by many proteins variants statistically associated with human disease, nearly all such variants have unknown mechanisms, for example, protein-protein interactions (PPIs). In this study, we address this challenge using a recent machine learning advance-deep neural networks (DNNs). We aim at improving the performance of PPIs prediction and propose a method called DeepPPI (Deep neural networks for Protein-Protein Interactions prediction), which employs deep neural networks to learn effectively the representations of proteins from common protein descriptors. The experimental results indicate that DeepPPI achieves superior performance on the test data set with an Accuracy of 92.50%, Precision of 94.38%, Recall of 90.56%, Specificity of 94.49%, Matthews Correlation Coefficient of 85.08% and Area Under the Curve of 97.43%, respectively. Extensive experiments show that DeepPPI can learn useful features of proteins pairs by a layer-wise abstraction, and thus achieves better prediction performance than existing methods. The source code of our approach can be available via http://ailab.ahu.edu.cn:8087/DeepPPI/index.html .

Object Deep brain stimulation (DBS) is the surgical procedure of choice for patients with advanced Parkinson disease (PD). The globus pallidus internus (GPi) and the subthalamic nucleus (STN) are commonly targeted by this procedure. The purpose of this meta-analysis was to compare the efficacy of DBS in each region. Methods MEDLINE/PubMed, EMBASE, Web of Knowledge, and the Cochrane Library were searched for English-language studies published before April 2013. Results of studies investigating the efficacy and clinical outcomes of DBS of the GPi and STN for PD were analyzed. Results Six eligible trials containing a total of 563 patients were included in the analysis. Deep brain stimulation of the GPi or STN equally improved motor function, measured by the Unified Parkinson's Disease Rating Scale Section III (UPDRSIII) (motor section, for patients in on- and off-medication phases), within 1 year postsurgery. The change score for the on-medication phase was 0.68 (95% CI – 2.12 to 3.47, p > 0.05; 5 studies, 518 patients) and for the off-medication phase was 1.83 (95% CI – 3.12 to 6.77, p > 0.05; 5 studies, 518 patients). The UPDRS Section II (activities of daily living) scores for patients on medication improved equally in both DBS groups (p = 0.97). STN DBS allowed medication dosages to be reduced more than GPi DBS (95% CI 129.27–316.64, p < 0.00001; 5 studies, 540 patients). Psychiatric symptoms, measured by Beck Depression Inventory, 2nd edition scores, showed greater improvement from baseline after GPi DBS than after STN DBS (standardized mean difference −2.28, 95% CI −3.73 to −0.84, p = 0.002; 3 studies, 382 patients). Conclusions GPi and STN DBS improve motor function and activities of daily living for PD patients. Differences in therapeutic efficacy for PD were not observed between the 2 procedures. STN DBS allowed greater reduction in medication for patients, whereas GPi DBS provided greater relief from psychiatric symptoms. An understanding of other symptomatic aspects of targeting each region and long-term observations on therapeutic effects are needed.

Background Reliable prediction of protein–protein interaction sites is an important goal in the field of bioinformatics. Many computational methods have been explored for the large-scale prediction of protein–protein interaction sites based on various data types, including protein sequence, structural and genomic data. Although much progress has been achieved in recent years, the problem has not yet been satisfactorily solved. Results In this work, we presented an efficient approach that uses ensemble learning algorithm with weighted feature descriptor (EL-WFD) to predict protein–protein interaction sites. Moreover, weighted feature descriptor was designed to describe the distance influence of neighboring residues on interaction sites. The results on two dataset (Hetero and Homo), show that the proposed method yields a satisfactory accuracy with 83.8 % recall and 96.3 % precision on the Hetero dataset and 84.2 % recall and 96.3 % precision on the Homo dataset, respectively. In both datasets, our method tend to obtain high Mathews correlation coefficient compared with state-of-the-art technique random forest method. Conclusions The experimental results show that the EL-WFD method is quite effective in predicting protein–protein interaction sites. The novel weighted feature descriptor was proved to be promising in discovering interaction sites. Overall, the proposed method can be considered as a new powerful tool for predicting protein–protein interaction sites with excellence performance.

We aimed to develop a double-injection model of intracerebral hemorrhage (ICH) in rabbits and to evaluate it as a tool for investigating post-ICH brain injury. Rabbits were injected with 300 μL fresh autologous whole blood into the right basal ganglia. Behavioral changes were rated, brain water content (BWC) was measured and brain tissue morphology was also examined. ICH was established in 93.5% of the blood injection group. At 1, 3 and 7 days after ICH, there were significant differences in the total neurological scores (p < 0.01) and BWC (p < 0.01) between a sham-operated group and the ICH group. These findings suggest that the model produces a persistent neurological deficit, hematoma volume and perihematomal edema and closely mimics human hypertensive basal ganglia ICH; it is a controllable and reproducible hematoma that lends itself to quantitative investigation.

Background/Aims: HIF-1α is accumulated in the cellular nucleus and cytoplasm under conditions of oxygen deprivation and engaged in pathophysiologic changes of homeostasis by modulating the expression of several target genes. As an endogenous signaling protein, HIF-1α contributes to in neuroprotection, erythropoiesis, and apoptosis modulation. The purpose of this study was to examine the role played by HIF-1α in regulating neurological injury evoked by intracerebral hemorrhage (ICH) through its downstream product, namely vascular endothelial growth factor (VEGF). In particular, we examined the effects of diabetic hyperglycemia on HIF-1α response in the processing of ICH. Methods: ELISA was used to measure HIF-1α and VEGF; and Western Blot analysis to examine the protein expression of VEGFR-2 and Caspase-3. Neurological Severity Score and brain water content were used to indicate neurological function and brain edema. Results: HIF-1α and VEGF were significantly increased in the brain after induction of ICH in non-diabetic control rats and diabetic rats; however, the amplified levels of HIF-1α and VEGF were attenuated in diabetic rats (P

Background and Purpose— We aimed to develop a risk score (intracerebral hemorrhage–associated pneumonia score, ICH-APS) for predicting hospital-acquired stroke-associated pneumonia (SAP) after ICH. Methods— The ICH-APS was developed based on the China National Stroke Registry (CNSR), in which eligible patients were randomly divided into derivation (60%) and validation (40%) cohorts. Variables routinely collected at presentation were used for predicting SAP after ICH. For testing the added value of hematoma volume measure, we separately developed 2 models with (ICH-APS-B) and without (ICH-APS-A) hematoma volume included. Multivariable logistic regression was performed to identify independent predictors. The area under the receiver operating characteristic curve (AUROC), Hosmer–Lemeshow goodness-of-fit test, and integrated discrimination index were used to assess model discrimination, calibration, and reclassification, respectively. Results— The SAP was 16.4% and 17.7% in the overall derivation (n=2998) and validation (n=2000) cohorts, respectively. A 23-point ICH-APS-A was developed based on a set of predictors and showed good discrimination in the overall derivation (AUROC, 0.75; 95% confidence interval, 0.72–0.77) and validation (AUROC, 0.76; 95% confidence interval, 0.71–0.79) cohorts. The ICH-APS-A was more sensitive for patients with length of stay >48 hours (AUROC, 0.78; 95% confidence interval, 0.75–0.81) than those with length of stay P =0.20) and validation ( P =0.66) cohorts. Similarly, a 26-point ICH-APS-B was established. The ICH-APS-A and ICH-APS-B were not significantly different in discrimination and reclassification for SAP after ICH. Conclusion— The ICH-APSs are valid risk scores for predicting SAP after ICH, especially for patients with length of stay >48 hours.

Purpose To examine associations of matrix metalloproteinase-9 (MMP-9) and monocyte chemoattractant protein-1 (MCP-1) concentrations with the severity of carotid atherosclerosis, based on measurements of carotid plaque and intima–media thickness (IMT). Methods This cross-sectional study included 116 stroke-free participants (45.7% males, 54.3% females; mean age, 64.73 ± 14.53 years). Serum MMP-9 and MCP-1 concentrations were measured, and plaque morphology, including total plaque score (PS), plaque stability, and IMT, was assessed ultrasonographically. Participants were grouped according to total PS (0, 1–2, ≥3), plaque stability (no plaque, stable, unstable) and IMT tertiles ( 1 mm). Multinomial logistic regression models were used to assess the associations of MMP-9 and MCP-1 concentrations with plaque and IMT values after adjusting for vascular risk factors. Results MMP-9 quartiles ( vs . quartile 1) were significantly associated with a greater prevalence of plaque instability [Q2: odds ratio (OR) = 5.13, 95% confidence interval (CI) = 1.01–24.9, p = 0.042; Q3: OR = 15.5, 95% CI = 3.1–78.1, p = 0.001; Q4: OR = 13.2, 95% CI = 2.7–64.97, p = 0.001] and high total PS (Q3: OR = 10.02, 95% CI = 1.5–65.33, p = 0.016; Q4: OR = 21.5, 95% CI = 3.5–132.1, p = 0.001). MCP-1 concentration was significantly associated with IMT (OR = 22.94, 95% CI = 2.14–245.66, p = 0.01). Conclusions Elevated serum MMP-9 concentration was independently associated with high total carotid artery PS, plaque instability, and large IMT value. MCP-1 concentration was independently associated with IMT, but not with plaque morphology.

Erythropoietin (EPO) has been shown to be neuroprotective in various models of neuronal injury. The aim of the present study was to investigate the beneficial effect of recombinant human EPO (rhEPO) following intracerebral hemorrhage (ICH) and the underlying molecular and cellular mechanisms. ICH was induced using autologous blood injection in adult rats. rhEPO (5000 IU/kg) or vehicle was administered to rats with ICH 2 h following surgery and every 24 h for 1 or 3 days. To study the involvement of the PI3K signaling pathway in the rhEPO‑mediated effect, the PI3K inhibitor wortmannin (15 µg/kg), was intravenously administered to rats with ICH 90 min prior to rhEPO treatment. Brain edema was measured 3 days following ICH and behavioral outcomes were measured at 1, 7, 14, 21 and 28 days following ICH using the modified neurological severity score (mNSS) and the corner turn test. Proinflammatory cytokines, including tumor necrosis factor (TNF)‑α, interleukin (IL)-1β and IL-6, in the ipsilateral striatum were analyzed using an enzyme-linked immunosorbent assay 24 h following ICH. Neuronal apoptosis in the perihematomal area was determined by NeuN and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) double-staining. The results showed that rhEPO treatment reversed ICH, increased brain water content, upregulated proinflammatory cytokines, neuronal loss and apoptosis in the perihematomal area and rescued behavioral deficits in injured rats. Inhibiting the PI3K pathway with wortmannin abolished the rhEPO‑mediated neuroprotective effects. Moreover, western blot analysis showed that rhEPO induced the upregulation of Akt phosphorylation and downregulation of glycogen synthase kinase (GSK)‑3β phosphorylation, which were reversed by pretreatment with wortmannin, indicating the involvement of PI3K signaling in rhEPO-mediated anti-apoptotic and anti-inflammatory effects following ICH. In conclusion, these results suggested that rhEPO may exert its beneficial effects in ICH through the activation of the PI3K signaling pathway.

We explored the possibility that hypoxia-inducible factor-1alpha (HIF-1alpha) might contribute to the therapeutic effect of neural stem cell (NSC) transplantation in cerebral ischemia. The relative efficacy of modified NSC to promote behavioral recovery was investigated in a rat model of stroke induced by a transient middle cerebral artery occlusion (MCAO). A recombinant adenovirus (Ad-HIF-1alpha) was engineered to express HIF-1alpha. Control NSC infected with control adenovirus (NSC-Ad), recombinant adenovirus Ad-HIF-1alpha, or NSC infected by Ad-HIF-1alpha (NSC-Ad-HIF-1alpha), were used for intraventricular transplantion into rat brain 24 hours after MCAO. Neurological deficits were assessed over 4 weeks using the modified neurological severity scale (NSS) score. Long-term in vivo expression of HIF-1alpha was demonstrated by Western blotting and immunocytochemistry, and derivatives of nestin-positive transplanted cells contributed to both neuronal (neurofilament-positive) and astroglial (glial fibrillary acidic protein-positive) lineages. All animals showed functional improvement. Improvement was accelerated in animals receiving either NSC-Ad or Ad-HIF-1alpha, while improvement at all times between 7 days and 28 days post MCAO was significantly greater in animals transplanted with NSC-Ad-HIF-1alpha than for other treated animals. NSC-Ad-HIF-1alpha cells also increased the number of factor VIII-positive cells in the region of ischemic injury, indicating that HIF-1alpha expression can promote angiogenesis. Gene-modified NSC expressing HIF-1alpha have therapeutic potential in ischemic stroke.

In order to realize the integration and sharing of the enterprise resources information in supply chain, and improve the synthesis competition of the whole supply chain. This paper analyzes the supply chain resources in terms of process, sets up the process-based supply chain resources descriptive model, and applies to XML to form a knowledge representation model. In the end, we set up a process-based supply chain resources information management system, and make research on the structural frame, function modules and the key technology for this system. It not only realizes the integration and sharing of the enterprise resources information in supply chain, but also establishes a basis for the supply chain to respond to the market in time.