Abstract-In this paper, a new subband-based classification scheme is developed for classifying underwater mines and mine-like targets from the acoustic backscattered signals. The system consists of a feature extractor using wavelet packets in conjunction with linear predictive coding (LPC), a feature selection scheme, and a backpropagation neural-network classifier. The data set used for this study consists of the backscattered signals from six different objects: two mine-like targets and four nontargets for several aspect angles. Simulation results on ten different noisy realizations and for signal-to-noise ratio (SNR) of 12 dB are presented. The receiver operating characteristic (ROC) curve of the classifier generated based on these results demonstrated excellent classification performance of the system. The generalization ability of the trained network was demonstrated by computing the error and classification rate statistics on a large data set. A multiaspect fusion scheme was also adopted in order to further improve the classification performance.

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IntroductionThe optimal transfusion protocol remains unknown in the trauma setting. This retrospective cohort study aimed to determine if goal-directed transfusion protocol based on standard thrombelastography (TEG) is feasible and beneficial in patients with abdominal trauma.MethodsSixty adult patients with abdominal trauma who received 2 or more units of red blood cell transfusion within 24 hours of admission were studied. Patients managed with goal-directed transfusion protocol via TEG (goal-directed group) were compared to patients admitted before utilization of the protocol (control group).ResultsThere were 29 patients in the goal-directed group and 31 in the control group. Baseline parameters were similar except for higher admission systolic blood pressure in the goal-directed group than the control group (121.8 ± 23.1 mmHg vs 102.7 ± 26.5 mmHg, p < 0.01). At 24 h, patients in the goal-directed group had shorter aPTT compared to patients in the control group (39.2 ± 16.3 s vs 58.6 ± 36.6 s, p = 0.044). Administration of total blood products at 24 h appeared to be fewer in the goal-directed group than the control group (10.2 [7.0-43.1]U vs 14.8 [8.3-37.6]U, p = 0.28), but this was not statistically significant. Subgroup analysis including patients with ISS ≥16 showed that patients in the goal-directed group had significantly fewer consumption of total blood products than patients in the control group (7[6.1, 47.0]U vs 37.6[14.5, 89.9]U, p = 0.015). No differences were found in mortality at 28d, length of stay in intensive care unit and hospital between the two groups.ConclusionsGoal-directed transfusion protocol via standard TEG was achievable in patients with abdominal trauma. The novel protocol, compared to conventional transfusion management, has the potential to decrease blood product utilization and prevent exacerbation of coagulation function.

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The rolling bearing is an important part of the train’s running gear, and its operating state determines the safety during the running of the train. Therefore, it is important to monitor and diagnose the health status of rolling bearings. A convolutional neural network is widely used in the field of fault diagnosis because it does not require feature extraction. Considering that the size of the network model is large and the requirements for monitoring equipment are high. This study proposes a novel bearing fault diagnosis method based on lightweight network ShuffleNet V2 with batch normalization and L2 regularization. In the experiment, the one-dimensional time-domain signal is converted into a two-dimensional Time-Frequency Graph (TFG) using a short-time Fourier transform, though the principle of graphics to enhance the TFG dataset. The model mainly consists of two units, one for extracting features and one for spatial down-sampling. The building units are repeatedly stacked to construct the whole model. By comparing the proposed method with the origin ShuffleNet V2, machine learning model and state-of-the-art fault diagnosis model, the generalization of the proposed method for bearing fault diagnosis is verified.

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Background/Aims: the pathogenesis of sepsis-associated encephalopathy (SAE) is multifactorial, involving neurotransmitter alterations, inflammatory cytokines, oxidative damage, mitochondrial dysfunction, apoptosis, and other factors. Mitochondria are major producers of reactive oxygen species, resulting in cellular injury. Omi/HtrA2 is a proapoptotic mitochondrial serine protease involved in caspase-dependent cell death; it is translocated from mitochondria to the cytosol after an apoptotic insult. We previously found that UCF-101, a specific inhibitor of Omi/HtrA2, has neuroprotective effects on cerebral oxidative injury and cognitive impairment in septic rats. In this study, the mechanisms and molecular pathways underlying these effects were investigated. Methods: Male Sprague–Dawley rats were subjected to cecal ligation and puncture (CLP) or sham-operated laparotomy and were administered vehicle or UCF-101 (10 µmol/kg). The hippocampus was isolated for subsequent analysis. Omi/HtrA2 expression in the mitochondria or cytosol was evaluated by immunofluorescence or western blotting. Terminal deoxynucleotidyl transferase dUTP nick end labeling staining was utilized to evaluate levels of apoptosis, and western blotting was used to evaluate apoptosis-related proteins, such as cleaved caspase-3, caspase-9, and poly (ADP-ribose) polymerase (PARP). Tight junction expression was assessed by immunofluorescence and western blotting. Mitochondrial function, inflammatory cytokines, and oxidative stress were also assayed. In addition, a wet/dry method was used to evaluate brain edema and Evans blue extravasation was used to evaluate blood–brain barrier (BBB) integrity. Results: After CLP treatment, the hippocampus exhibited a mild increase in Omi/HtrA2 expression; cytosolic Omi/HtrA2 expression increased significantly, whereas mitochondrial Omi/HtrA2 expression was reduced, indicating that CLP-induced oxidative stress resulted in the translocation of Omi/HtrA2 from mitochondria to the cytosol. Hippocampal cleaved caspase-3, caspase-9, and PARP levels were significantly higher in animals treated with CLP than in sham-operated animals, while XIAP expression was lower. Treatment with UCF-101 prevented the mobilization of Omi/HtrA2 from mitochondria to the cytosol, attenuated XIAP degradation, and decreased cleaved caspase-3, caspase-9, and PARP expression as well as apoptosis. UCF-101 also reversed the decreased mitochondrial complex I, II, and III respiration and the reduced ATP caused by CLP. In addition, UCF-101 treatment resulted in a significant improvement in BBB integrity, as demonstrated by increased occludin, claudin-5, and zonula occludens 1 levels and reduced Evans blue extravasation. No significant effects of UCF-101 on brain edema were found. Inflammatory cytokines and oxidative stress were significantly higher in the CLP-treated group than in the sham-operated group. However, the inhibition of Omi/HtrA2 by UCF-101 significantly alleviated these responses. Conclusion: Our data indicated that Omi/ HtrA2 regulates a ...

In this work, the boron nitride (BN) nanosheets were dispersed in natural esters to fabricate the dielectric nanofluid. Microstructures and chemical compositions of the nanosized BN are determined. The stability, viscosity, and thermal conductivity of the BN nanofluid, were obtained. And the dissipation factor, electrical conductivity, and relative permittivity of the BN nanofluid, were measured. The ion mobilities and migrating times of the nanofluid were measured under different volumetric fractions of BN nanosheets and temperatures. Results show that the electrical conductivity and dissipation factor of the nanofluid decreased by 54% and 48% with the addition of only 0.1% of BN nanosheets under 110°C. Both the half‐reduced carrier mobility of the nanofluid and the declined ion concentration by blocking of BN nanosheet contributed to the exponentially reduced electrical conductivity and enhanced dielectric performances of the BN nanofluid. The suppression coefficient k is proposed to quantitatively describe the hinder effect of ion migration in nanofluids by 2D BN nanosheet. Results provide a strategy to design and develop advanced nanofluids with low‐dielectric loss by aids of surface adsorption of ion and steric hindrance of 2D nanosheets.