MoWLD: A Robust Motion Image Descriptor for Violence Detection

Abstract Automatic violence detection from video is a hot topic for many video surveillance applications. However, there has been little success in designing an algorithm that can detect violence in surveillance videos with high performance. Existing methods typically apply the Bagof-Words (BoW) model on local spatiotemporal descriptors. However, traditional spatiotemporal features are not discriminative enough, and also the BoW model roughly assigns each feature vector to only one visual word and therefore ignores the spatial relationships among the features. To tackle these problems, in this paper we propose a novel Motion Weber Local Descriptor (MoWLD) in the spirit of the well-known WLD and make it a powerful and robust descriptor for motion images. We extend the WLD spatial descriptions by adding a temporal component to the appearance descriptor, which implicitly captures local motion information as well as low-level image appear information. To eliminate redundant and irrelevant features, the nonparametric Kernel Density Estimation (KDE) is employed on the MoWLD descriptor. In order to obtain more discriminative features, we adopt the sparse coding and max pooling scheme to further process the selected MoWLDs. Experimental results on three benchmark datasets have demonstrated the superiority of the proposed approach over the state-of-the-arts

PGC-1α Participates in the Protective Effect of Chronic Intermittent Hypobaric Hypoxia on Cardiomyocytes

Background/Aims: Myocardial ischemia/reperfusion (I/R) or hypoxia/reoxygenation (H/R) injury is always characterized by Ca2+ overload, energy metabolism disorder and necrocytosis of cardiomyocytes. We showed previously that chronic intermittent hypobaric hypoxia (CIHH) improves cardiac function during I/R through improving cardiac glucose metabolism. However, the underlying cellular and molecular mechanisms of CIHH treatment improving energy metabolism in cardiomyocytes are still unclear. In this study, we determined whether and how CIHH protects cardiomyocytes from Ca2+ overload and necrocytosis through energy regulating pathway. Methods: Adult male Sprague-Dawley rats were randomly divided into two groups: control (CON) and CIHH group. CIHH rats received a hypobaric hypoxia simulating 5,000-m altitude for 28 days, 6 hours each day, in hypobaric chamber. Rat ventricular myocytes were obtained by enzymatic dissociation. The intracellular calcium concentration ([Ca2+]i) and cTnI protein expression were used to evaluate the degree of cardiomyocytes injury during and after H/R. The mRNA and protein expressions involved in cardiac energy metabolism were determined using quantitative PCR and Western blot techniques. PGC-1α siRNA adenovirus transfection was used to knock down PGC-1α gene expression of cardiomyocytes to determine the effect of PGC-1α in the energy regulating pathway. Results: H/R increased [Ca2+]i and cTnI protein expression in cardiomyocytes. CIHH treatment decreased [Ca2+]i (p< 0.01) and cTnI protein expression (p< 0.01) in cardiomyocytes after H/R. Both mRNA and protein expression of PGC-1α increased after CIHH treatment, which was reversed by PGC-1α siRNA adenovirus transfection. Furthermore, CIHH treatment increased the expression of HIF-1α, AMPK and p-AMPK in cardiomyocytes, and pretreatment with AMPK inhibitor dorsomorphin abolished the enhancement of PGC-1α protein expression in cardiomyocytes by CIHH (p< 0.01). In addition, PGC-1α knock down also abolished the increased protein level of GLUT4 (p< 0.01) and decreased the protein level of CPT-1b (p< 0.05) in cardiomyocytes by CIHH treatment. Conclusion: CIHH treatment could reduce the calcium overload and H/R injury in cardiomyocytes by up-regulating the expression of PGC-1α and regulating the energy metabolism of glucose and lipid. The HIF-1α-AMPK signaling pathway might be involved in the process

Transfer path analysis and its application in low-frequency vibration reduction of steering wheel of a passenger vehicle

Abstract(#br)The demands on improving the noise, vibration and harshness of passenger vehicles are growing rapidly. Low-frequency vibration of steering wheel is one of the most important factors leading to the discomfort of drivers. This study proposes a systematic analysis methodology to reduce the low-frequency vibration of steering wheel using classical transfer path analysis (CTPA). The theoretical basics of TPA using dynamic stiffness approach and inverse matrix approach are briefly introduced, and then the experimental apparatus and analysis procedures in performing the TPA are introduced. The static forces in the rubber mounts of the powertrain system are calculated, the dynamic stiffness of the rubber mounts are estimated, and the operational forces are determined. The contributions of different transfer paths to the vibration of steering wheel are analyzed and compared, and the predominant causes are identified. The results show that the vibration of steering wheel along the X direction is protruded at the engine ignition frequency, and the vibration of the exhaust system along the X direction contributes most to the vibration because of large frequency response function. The mounting structure of the exhaust system is modified based on modal analysis results using finite element method to reduce the vibration of steering wheel

FairEdge: A Fairness-Oriented Task Offloading Scheme for Iot Applications in Mobile Cloudlet Networks

Mobile cloud computing has emerged as a promising paradigm to facilitate computation-intensive and delay-sensitive mobile applications. Computation offloading services at the edge mobile cloud environment are provided by small-scale cloud infrastructures such as cloudlets. While offloading tasks to in-proximity cloudlets enjoys benefits of lower latency and smaller energy consumption, new issues related to the cloudlets are rising. For instance, unbalanced task distribution and huge load gaps among heterogeneous mobile cloudlets are becoming challenging with respect to network dynamics and distributed task offloading. In this paper, we propose 'FairEdge', a Fairness-oriented computation offloading scheme to enable balanced task distribution for mobile Edge cloudlet networks. By integrating the balls-and-bins theory with fairness index, our solution promotes effective load balancing with limited information at low computation cost. The evaluation results from extensive simulations and experiments with real-world datasets show that FairEdge outperforms conventional task offloading methods, it can achieve a network fairness up to 0.85 and reduce the unbalanced task offload by 50%

Two novel dual GLP-1/GIP receptor agonists are neuroprotective in the MPTP mouse model of Parkinson's disease

Type 2 diabetes mellitus (T2DM) is a risk factors for developing Parkinson's disease (PD). Insulin desensitization is observed in the brains of PD patients, which may be an underlying mechanism that promotes neurodegeneration. Incretin hormones are growth factors that can re-sensitize insulin signalling. We have previously shown that analogues of the incretins GLP-1 or GIP have neuroprotective effects in the MPTP mouse model of PD. Novel dual GLP-1/GIP receptor agonists have been developed as treatments for T2DM. We have tested 3 novel dual receptor agonists DA-JC1, DA-JC4 and DA-CH5 in comparison with the GLP-1 analogue liraglutide (all drugs at 25 nmol/kg ip once-daily for 6 days) in the MPTP mouse model of PD (4 × 25 mg/kg ip). In the Rotarod and grip strength assessment, DA-CH5 performed best in reversing the MPTP–induced motor impairment. Dopamine synthesis as indicated by levels of tyrosine hydroxylase was much reduced by MPTP in the substantia nigra and striatum, and DA-CH5 was the best drug to reverse this. Pro-inflammatory cytokines were best reduced by DA-CH5, while expression levels of the neuroprotective growth factor Glial-Derived Neurotrophic Factor (GDNF) was most increased by DA-JC4. Synapses were protected best by DA-JC4 and DA-CH5. Both DA-JC1 and liraglutide showed inferior effects. These results show that a combination of GLP-1 and GIP receptor activation is more efficient compared to single GLP-1 receptor activation. We conclude that dual agonists are a promising novel treatment for PD. The GLP-1 mimetic exendin-4 has previously shown disease modifying effects in two clinical trials in Parkinson patients

Shallow wet irrigation reduces nitrogen leaching loss rate in paddy fields by microbial regulation and lowers rate of downward migration of leaching water: a 15N-tracer study

China consumes 35% of the world’s fertilizer every year; however, most of the nitrogen fertilizers, which are essential for rice cultivation, are not used effectively. In this study, factors affecting the nitrogen leaching loss rate were studied in typical soil and rice varieties in South China. The effects of various irrigation measures on rice growth and nitrogen leaching loss were investigated by conducting experiments with eight groups. These groups included traditional irrigation (TI) and shallow wet irrigation (SWI). The TI is a common irrigation method for farmers in South China, maintaining a water layer of 5-8 cm depth. For SWI, after establishing a shallow water layer usually maintaining at 1-2 cm, paddy is irrigated when the field water level falls to a certain depth, then this process is then repeat as necessary. The nitrogen distribution characteristics were determined using 15N isotope tracing. In addition, the effects of nitrification, denitrification, and microbial composition on soil nitrogen transformation at different depths were studied by microbial functional gene quantification and high-throughput sequencing. The results revealed that in the SWI groups, the total nitrogen leaching loss rate reduced by 0.3-0.8% and the nitrogen use efficiency (NUE) increased by 2.18-4.43% compared with those in the TI groups. After the 15N-labeled nitrogen fertilizer was applied, the main pathways of nitrogen were found to be related to plant absorption and nitrogen residues. Furthermore, paddy soil ammonia-oxidizing archaea were more effective than ammonia-oxidizing bacteria for soil ammonia oxidation by SWI groups. The SWI measures increased the relative abundance of Firmicutes in paddy soil, enhancing the ability of rice to fix nitrogen to produce ammonium nitrogen, thus reducing the dependence of rice on chemical fertilizers. Moreover, SWI enhanced the relative abundance of nirS and nosZ genes within surface soil bacteria, thereby promoting denitrification in the surface soil of paddy fields. SWI also promoted ammonia oxidation and denitrification by increasing the abundance and activity of Proteobacteria, Nitrospirae, and Bacteroidetes. Collectively, SWI effectively reduced the nitrogen leaching loss rate and increase NUE