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The subtleties of human perception, as measured by vision scientists through the use of psychophysics, are important clues to the internal workings of visual recognition. For instance, measured reaction time can indicate whether a visual stimulus is easy for a subject to recognize, or whether it is hard. In this paper, we consider how to incorporate psychophysical measurements of visual perception into the loss function of a deep neural network being trained for a recognition task, under the assumption that such information can enforce consistency with human behavior. As a case study to assess the viability of this approach, we look at the problem of handwritten document transcription. While good progress has been made towards automatically transcribing modern handwriting, significant challenges remain in transcribing historical documents. Here we describe a general enhancement strategy, underpinned by the new loss formulation, which can be applied to the training regime of any deep learning-based document transcription system. Through experimentation, reliable performance improvement is demonstrated for the standard IAM and RIMES datasets for three different network architectures. Further, we go on to show feasibility for our approach on a new dataset of digitized Latin manuscripts, originally produced by scribes in the Cloister of St. Gall in the the 9th century.

Chromium propionate (Cr-Pro) and calcium propionate (Ca-Pro) are widely applied in dairy production, especially in the alleviation of heat stress (HS). HS can reduce the abundance of rumen microbiota and the lactation performance of dairy cows. The present work mainly focused on evaluating the effects of Cr-Pro and Ca-Pro on the performance, ruminal bacterial community, and stress of postpartum HS dairy cows as well as identifying the differences in their mechanisms. Fifteen multiparous postpartum Holstein cows with equivalent weights (694 ± 28 kg) and milk yields (41.2 ± 1.21 kg/day) were randomly divided into three groups: control (CON), Cr-Pro (CRPR), and Ca-Pro (CAPR). The control cows received the basal total mixed ration (TMR) diet, while the CRPR group received TMR with 3.13 g/day of Cr-Pro, and the CAPR group received TMR with 200 g/day of Ca-Pro. The rumen microbial 16S rRNA was sequenced using the Illumina NovaSeq platform along with the measurement of ruminal volatile fatty acids (VFAs) and milking performance. Cr-Pro and Ca-Pro improved lactation performance, increased the rumen VFA concentration, and altered the rumen microbiota of the HS dairy cows. Cr-Pro significantly improved the milk yield (p < 0.01). The richness and diversity of the microbial species significantly increased after feeding on Ca-Pro (p < 0.05). Gene function prediction revealed increased metabolic pathways and biological-synthesis-related function in the groups supplemented with Cr-Pro and Ca-Pro. Our results indicate that the application of Cr-Pro or Ca-Pro can provide relief for heat stress in dairy cows through different mechanisms, and a combination of both is recommended for optimal results in production.

NAFLD is a liver disease that is caused by liver damage or extreme lipid deposition but not alcohol. Nrf2 could mediate resistance to oxidative stress injury. Autophagy can degrade metabolic waste and accumulated toxic endogenous substances. Pterostilbene (PTE) is an active compound extracted from blueberry, and grape, that exhibits many biological effects, such as antiinflammation and antitumor.This study provides a mechanism of PTE affecting on oxidative stress and autophagy in NAFLD mice. Tyloxapol, oil acid (OA) and palmitic acid (PA) were used to induce lipid accumulation in mice and HepG2 cells.Western blotting, CRISPR/Cas 9 and other molecular biological approaches were applied to explore the mechanisms of PTE effected on NAFLD.PTE pretreatment effectively reduced the lipid accumulation in OA and PA induced HepG2 cells and tyloxapol induced mice, and significantly promoted the expression of nNrf2, PPAR-α and HO-1, and AMPK activity, but inhibited the expression of mTORC 1 and SREBP-1c. PTE activated phosphatidylinositide 3-kinase (PI3K) and proteins in the autophagy-related gene (ATG) family, and promoted the transformation of LC3Ⅰ to LC3Ⅱ which indicated the activation of autophagy, however, these effects were abolished after Nrf2 knockout.PTE effectively alleviated oxidative stress damage induced by excessive lipid accumulation in hepatocytes, thus promoting the metabolism and decomposition of fatty acids to improve NAFLD.

Non‐alcohol fatty liver disease (NAFLD) is a common disease which causes serious liver damage. Geniposide (GEN), a kind of iridoid glycoside extracted from Gardenia jasminoides fruit, has many biological effects, such as resistance to cell damage and anti‐neurodegenerative disorder. Lipid accumulation was obvious in tyloxapol‐induced liver and oil acid (OA) with palmitic acid (PA)‐induced HepG2 cells compared with the control groups while GEN improved the increasing conditions. GEN significantly lessened the total cholesterol (TC), the triglyceride (TG), low‐density lipoprotein (LDL), very low‐density lipoprotein (VLDL), myeloperoxidase (MPO), reactive oxygen species (ROS) and increased high‐density lipoprotein (HDL), superoxide dismutase (SOD) to response the oxidative stress via activating nuclear factor erythroid‐2–related factor 2 (Nrf2), haeme oxygenase (HO)‐1 and peroxisome proliferator‐activated receptor (PPAR)α which may influence the phosphorylation of adenosine 5’‐monophosphate–activated protein kinase (AMPK) signalling pathway in mice and cells. Additionally, GEN evidently decreased the contents of sterol regulatory element‐binding proteins (SREBP)‐1c, phosphorylation (P)‐mechanistic target of rapamycin complex (mTORC), P‐S6K, P‐S6 and high mobility group protein (HMGB) 1 via inhibiting the expression of phosphoinositide 3‐kinase (PI3K), and these were totally abrogated in Nrf2−/− mice. Our study firstly proved the protective effect of GEN on lipid accumulation via enhancing the ability of antioxidative stress and anti‐inflammation which were mostly depend on up‐regulating the protein expression of Nrf2/HO‐1 and AMPK signalling pathways, thereby suppressed the phosphorylation of mTORC and its related protein.

Chicoric acid is polyphenol of natural plant and has a variety of bioactivity. Caused by various kinds of stimulating factors, acute liver injury has high fatality rate. The effect of chicoric acid in acute liver injury induced by Lipopolysaccharide (LPS) and d‐galactosamine (d‐GalN) was investigated in this study. The results showed that CA decreased the aspartate aminotransferase (AST) and alanine aminotransferase (ALT) in serum and reduced the mortality induced by LPS/d‐GalN. CA can restrain mitogen‐activated protein kinases (MAPKs) and nuclear factor‐kappa B (NF‐κB) to alleviate inflammation. Meanwhile, the results indicated CA can active nuclear factor‐erythroid 2‐related factor 2 (Nrf2) pathway with increasing the level of AMP‐activated protein kinase (AMPK). And with the treatment of CA, protein levels of autophagy genes were obvious improved. The results of experiments indicate that CA has protective effect in liver injury, and the activation of AMPK and autophagy may make sense.

Morin (MO), a natural bioflavinoid, exists in many herbs. Previous studies have acclaimed MO's anti-inflammatory, antidiabetic, antioxidant, antifibrotic, anticancer, and antihyperglycemic biological effects. This study aimed to assess the molecular mechanism of MO involved in the oleic acid (OA)-induced inflammatory damage and lipid accumulation in HepG2 cell and tyloxapol (Ty)-induced hyperlipidemia in mice. We found that MO can efficaciously mitigate reactive tumor necrosis factor-α (TNF-α) level and triglyceride (TG) accumulation in OA-induced HepG2 cell and in tyloxapol-induced mice. Next, the study testified that MO apparently suppressed OA-excited nuclear factor-kappa B (NF-κB) and mitogen-activated protein kinases (MAPKs) signaling pathways in HepG2 cell. In addition, MO distinctly upregulated the expression of peroxisome proliferator-activated receptor α (PPARα) and decreased the expression of sterol regulatory element-binding protein 1c (SREBP-1c) in OA-induced HepG2 cell and in tyloxapol-induced mice, both of which are dependent upon the phosphorylation of acetyl-CoA carboxylase (ACC), adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK), and protein kinase B (AKT). In conclusion, these results suggest that MO has protective potential against hyperlipidemia and steatosis, and the potential mechanism may have a close relation with activation of PPARα and inhibition of SREBP-1c.

Aucubin (AU) is the main active ingredient of Aucuba japonica which has showed many positive effects such as anti‐inflammation and liver protection. Non‐alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease. In this research, we explored the effects of AU on the tyloxapol‐induced NAFLD in mice and apolipoprotein C‐III (apoC‐III) induced‐3T3L1 cells. Tyloxapol (300 mg/kg) was injected to C57BL/6 mice with aucubin. The differentiated 3T3‐L1 cells were treated with or without aucubin after stimulation of apoC‐III (100 μg/mL). In results, aucubin inhibited hyperlipidaemia, oxidative stress and inflammation by influencing the content of total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL), very low density lipoprotein (VLDL), myeloperoxidase (MPO), superoxide dismutase (SOD), tumour necrosis factor receptor‐α (TNF‐α), interleukin‐1β (IL‐1β), and IL‐6 in blood. AU activated NF‐E2‐related factor 2 (Nrf2), peroxisome proliferator‐activated receptor α (PPARα), PPARγ and hemeoxygenase‐1 (HO‐1) and promoted the phosphorylation of adenosine 5′‐monophosphate‐activated protein kinase (AMPKα), AMPKβ, acetyl‐CoA carboxylase (ACC) and protein kinase B (AKT). In conclusion, AU performed the function of hypolipidaemic by its obvious anti‐inflammation and antioxidant activity, which may become a kind of new drug targeting at NAFLD.

Rosmarinic acid (RA) has antioxidation, anticancer, antibacterial, anti-inflammatory and various biological functions. In our study, we aim to evaluate effects of RA on acute liver injury caused by LPS and d-galactosamine (d-GalN) and its underlying molecular mechanism in mice. Our findings showed that RA could protect C57BL/6 mice from LPS/d-GalN-induced acute liver injury, which not only reflected on declining aspartate aminotransferase (AST) and alanine aminotransferase (ALT) of the serum, but also restrained the phosphorylation of nuclear factor-kappa B (NF-κB), extracellular signal-regulated kinase (ERK1/2) and p38 protein expression and the content of tissue myeloperoxidase (MPO) elevation. Moreover, RA could enhance the level of glutathione-dependent peroxidase (GSH-PX). Furthermore, RA promoted that nuclear factor erythroid-2-related factor 2 (Nrf2) transported into nucleus, and then up-regulated heme oxygenase 1 (HO-1), glutamate-cysteine ligase catalytic (GCLC), glutamate cysteine ligase modifier (GCLM) and quinone oxidoreductase (NQO1). These results indicated that RA could protect the mice from acute liver injury induced by LPS/d-GalN.

Computer vision has achieved superior results with the rapid development of new techniques in deep neural networks. Object detection in the wild is a core task in computer vision, and already has many successful applications in the real world. However, deep neural networks for object detection usually consist of hundreds, and sometimes even thousands, of layers. Training such networks is challenging, and training data has a fundamental impact on model performance. Because data collection and annotation are expensive and labor-intensive, lots of data augmentation methods have been proposed to generate synthetic data for neural network training. Most of those methods focus on manipulating 2D images. In contrast to that, in this paper, we leverage the realistic visual effects of 3D environments and propose a new way of generating synthetic data for computer vision tasks related to city scenes. Specifically, we describe a pipeline that can generate a 3D city model from an input of a 2D image that portrays the layout design of a city. This pipeline also takes optional parameters to further customize the output 3D city model. Using our pipeline, a virtual 3D city model with high-quality textures can be generated within seconds, and the output is an object ready to render. The model generated will assist people with limited 3D development knowledge to create high quality city scenes for different needs. As examples, we show the use of generated 3D city models as the synthetic data source for a scene text detection task and a traffic sign detection task. Both qualitative and quantitative results show that the generated virtual city is a good match to real-world data and potentially can benefit other computer vision tasks with similar contexts.

The activation of nuclear factor erythroid 2-related factor 2 (Nrf2) is closely related to the alleviation of nonalcoholic fatty liver disease (NAFLD) by regulating oxidative stress and lipid homeostasis. Gentiopicroside (GPS), an iridoid glycoside found in the Gentianaceae, possesses anti-inflammatory and antioxidant effects. However, the protective effects of GPS on lipid accumulation and oxidative damage have not been investigated thoroughly in free fatty acid- (FFA-) induced HepG2 cells and tyloxapol- (Ty-) induced hyperlipidemia mice. Cell counting kit-8 assays, Oil Red O staining, Western blotting analysis, extraction of nuclear and cytosolic proteins, and biochemical index assay were employed to explore the mechanisms by which GPS exerts a protective effect on FFA-induced HepG2 cells and Ty-induced hyperlipidemia mouse model. This paper demonstrates that GPS could effectively alleviate NAFLD by elevating cell viability, reducing fatty deposition, downregulating TG, and activating nucleus Nrf2 in FFA-induced HepG2 cells. Meanwhile, GPS significantly regulated the activation of phosphatidylinositol 3-kinase (PI3K)/AKT signaling pathway, Nrf2 antioxidant pathway, peroxisome proliferator-activated receptor α (PPARα), and GPS-inhibited sterol regulatory element-binding protein-1c (SREBP-1c) expression in FFA-stimulated lipid accumulation of HepG2 cells and Ty-treated mice. Interestingly, we highlight that PI3K/AKT inhibitor (LY294002) markedly increased the expression of Nrf2 antioxidant pathway, PPARα, and downregulated SREBP-1c in FFA-stimulated HepG2 cells. For these reasons, we found that the deletion of Nrf2 could lose the protective effects of GPS on the Nrf2 antioxidant pathway and PPARα activation and SREBP-1c inactivation in FFA-stimulated HepG2 cells and Ty-treated mice. GPS treatment had no effect on abnormal lipogenesis and antioxidant enzymes in Ty-induced Nrf2-/- mice. This work gives a new explanation that GPS may be a useful therapeutic strategy for NAFLD through upregulation of the Nrf2 antioxidant pathway, which can alleviate oxidative damage and lipid accumulation.

The ease with which one can edit and redistribute digital documents on the Internet is one of modernity's great achievements, but it also leads to some vexing problems. With growing academic interest in the study of the evolution of digital writing on the one hand and the rise of disinformation on the other, the problem of identifying the relationship between texts with similar content is becoming more important. Traditional vector space representations of texts have made progress in solving this problem when it is cast as a reconstruction task that organizes related texts into a tree expressing relationships-this is dubbed text phylogeny in the information forensics literature. However, as new text representation methods have been successfully applied to many other text analysis problems, it is worth investigating if they too are used in text phylogeny tree reconstruction. In this paper, we explore the use of word embeddings as a text representation method, with the aim of trying to improve the accuracy of reconstructed phylogeny trees for real-world data and compare it with other widely used text representation methods. We evaluate the performance on established benchmarks for this task: a synthetic data set and data collected from Wikipedia. We also apply our framework to a new data set of fan fiction based on some famous fairy tales. Experimental results show that word embeddings are competitive with other feature sets for the published benchmarks, and are highly effective for creative writing.

To accommodate exponentially increasing traffic demands, operators are seeking to offload cellular traffic to small base stations (BSs) in heterogeneous cellular networks (HCNs), which is promising in alleviating traffic congestion. In HCNs, operators are eager to balance the traffic globally, where users may be pushed to less preferred small BSs, resulting in possible conflict with user local preference. Thus, it is a big challenge to achieve dynamic load balancing for operators and provide participation incentive for users simultaneously. Due to the dynamics of network state and user traffic demand, we are inspired to utilize Lyapunov optimization to develop a congestion-aware cellular offloading scheme. Specifically, an operator profit maximization problem involving network selection and rate control is formulated. To achieve long-term network stability, we propose a congestion-aware network selection algorithm, obtaining the BS alternative set that maintains traffic congestion constraint. By exploring the heterogeneity of user quality sensitivity, we devise the optimal quality-price contract, which maximizes operator profit. With effective pricing and resource allocation, users are motivated to make proper association strategy chosen from the BS alternative set. Simulation results demonstrate the effectiveness of our scheme in improving operator profit. User incentive and network stability are also validated.

The veil of anonymity provided by smartphones with pre-paid SIM cards, public Wi-Fi hotspots, and distributed networks like Tor has drastically complicated the task of identifying users of social media during forensic investigations. In some cases, the text of a single posted message will be the only clue to an author’s identity. How can we accurately predict who that author might be when the message may never exceed 140 characters on a service like Twitter? For the past 50 years, linguists, computer scientists, and scholars of the humanities have been jointly developing automated methods to identify authors based on the style of their writing. All authors possess peculiarities of habit that influence the form and content of their written works. These characteristics can often be quantified and measured using machine learning algorithms. In this paper, we provide a comprehensive review of the methods of authorship attribution that can be applied to the problem of social media forensics. Furthermore, we examine emerging supervised learning-based methods that are effective for small sample sizes, and provide step-by-step explanations for several scalable approaches as instructional case studies for newcomers to the field. We argue that there is a significant need in forensics for new authorship attribution algorithms that can exploit context, can process multi-modal data, and are tolerant to incomplete knowledge of the space of all possible authors at training time.

This paper presents an investigation for bioconvection heat transfer of a nanofluid containing gyrotactic microorganisms over a stretching sheet, in which the effects of radiation, velocity slip and temperature jump are taken into account. The nonlinear governing equations are reduced into four ordinary differential equations by similarity transformations and solved by Homotopy Analysis Method (HAM), which is verified with numerical results in good agree. Results indicate that the density of motile microorganisms and gyrotactic microorganisms increase with bioconvection Rayleigh number, while decrease with increasing in bioconvection Peclet number and bioconvection Lewis number. It is also found that the Nusselt number, Sherwood number and gyrotactic microorganisms density depend strongly on the buoyancy, nanofluids and bioconvection parameters.

Shikonin (SHK) has various biological and pharmacological activities, including anticancer, antibacterial and anti-inflammation activities. However, the protective effects and mechanism of SHK on lipopolysaccharide (LPS) and D-galactosamine (D-GalN) induced acute liver injury remain unclear. In this study, LPS/D-GalN caused acute liver injury by intraperitoneal injection. SHK was administrated for 1 h. Then, LPS/D-GalN was given to C57BL/6 mice for 3 h. Our results showed that SHK treatment distinctly decreased serum TNF-α, IL-1β, IL-6 and IFN-γ inflammatory cytokine production, reduced serum ALT, AST, hepatic MPO and ROS production levels, and tissue histology harmful effects, inhibited JNK1/2, ERK1/2, p38 and NF-κB (p65) phosphorylation, and suppressed IκBα phosphorylation and degradation. Furthermore, our research showed that SHK could dramatically increase SOD and GSH production, as well as reduce ROS production, through up-regulating the protein expression of HO-1, Nqo1, Gclc and Gclm, which was related to the induction of Nrf2 nuclear translocation. These results showed that SHK exerted anti-inflammatory activity, which was associated to the inhibition of inflammatory production via down-regulation of the MAPK and NF-κB signaling pathways, and anti-oxidative effects were connected with GSH and SOD activation through up-regulation of the Nrf2/HO-1 signaling pathways.

Access control is often reported to be "profoundly broken" in real-world practices due to prevalent policy misconfigurations introduced by system administrators (sysadmins). Given the dynamics of resource and data sharing, access control policies need to be continuously updated. Unfortunately, to err is human-sysadmins often make mistakes such as over-granting privileges when changing access control policies. With today's limited tooling support for continuous validation, such mistakes can stay unnoticed for a long time until eventually being exploited by attackers, causing catastrophic security incidents. We present P-DIFF, a practical tool for monitoring access control behavior to help sysadmins early detect unintended access control policy changes and perform postmortem forensic analysis upon security attacks. P-DIFF continuously monitors access logs and infers access control policies from them. To handle the challenge of policy evolution, we devise a novel time-changing decision tree to effectively represent access control policy changes, coupled with a new learning algorithm to infer the tree from access logs. P-DIFF provides sysadmins with the inferred policies and detected changes to assist the following two tasks: (1) validating whether the access control changes are intended or not; (2) pinpointing the historical changes responsible for a given security attack. We evaluate P-DIFF with a variety of datasets collected from five real-world systems, including two from industrial companies. P-DIFF can detect 86%-100% of access control policy changes with an average precision of 89%. For forensic analysis, P-DIFF can pinpoint the root-cause change that permits the target access in 85%-98% of the evaluated cases.

Subacute ruminal acidosis (SARA) can increase the level of inflammation and induce rumenitis in dairy cows. Berberine (BBR) is the major active component of Rhizoma Coptidis, which is a type of Chinese anti-inflammatory drug for gastrointestinal diseases. The purpose of this study was to investigate the anti-inflammatory effects of BBR on lipopolysaccharide (LPS)-stimulated rumen epithelial cells (REC) and the underlying molecular mechanisms. REC were cultured and stimulated with LPS in the presence or absence of different concentrations of BBR. The results showed that cell viability was not affected by BBR. Moreover, BBR markedly decreased the concentrations and mRNA expression of pro-inflammatory cytokines, including tumor necrosis factor-α, interleukin-1β, and interleukin-6 in the LPS-treated REC in a dose-dependent manner. Importantly, Western blotting analysis showed that BBR significantly suppressed the protein expression of toll-like receptor 4 (TLR4) and myeloid differentiation primary response protein (MyD88) and the phosphorylation of nuclear factor-κB (NF-κB), inhibitory kappa B (IκBα), p38 mitogen-activated protein kinase (MAPK), and c-Jun N-terminal kinase (JNK) in LPS-treated REC. Furthermore, the results of immunocytofluorescence showed that BBR significantly inhibited the nuclear translocation of NF-κB p65 induced by LPS treatment. In conclusion, the protective effects of BBR on LPS-induced inflammatory responses in REC may be due to its ability to suppress the TLR4-mediated NF-κB and MAPK signaling pathways. These findings suggest that BBR can be used as an anti-inflammatory drug to treat inflammation induced by SARA.

Magnolol (MG) is a kind of lignin isolated from Magnolia officinalis, which serves several different biological functions, such as antifungal, anticancer, antioxidant, and hepatoprotective functions. This study aimed to evaluate the protective effect of MG against oleic acid (OA)-induced hepatic steatosis and inflammatory damage in HepG2 cells and in a tyloxapol (Ty)-induced hyperlipidemia mouse model. Our findings indicated that MG can effectively inhibit OA-stimulated tumor necrosis factor α (TNF-α) secretion, reactive oxygen species generation, and triglyceride (TG) accumulation. Further study manifested that MG significantly suppressed OA-activated mitogen-activated protein kinase (MAPK) and nuclear factor-kappa B (NF-κB) signaling pathways and that these inflammatory responses can be negated by pretreatment with inhibitors of extracellular regulated protein kinase and c-Jun N-terminal kinase (U0126 and SP600125, respectively). In addition, MG dramatically upregulated peroxisome proliferator-activated receptor α (PPARα) translocation and reduced sterol regulatory element-binding protein 1c (SREBP-1c) protein synthesis and excretion, both of which are dependent upon the phosphorylation of adenosine monophosphate (AMP)-activated protein kinase (AMPK), acetyl-CoA carboxylase, and AKT kinase (AKT). However, MG suspended the activation of PPARα expression and was thus blocked by pretreatment with LY294002 and compound c (specific inhibitors of AKT and AMPK). Furthermore, MG clearly alleviated serum TG and total cholesterol release; upregulated AKT, AMPK, and PPARα expression; suppressed SREBP-1c generation; and alleviated hepatic steatosis and dyslipidemia in Ty-induced hyperlipidemia mice. Taken together, these results suggest that MG exerts protective effects against steatosis, hyperlipidemia, and the underlying mechanism, which may be closely associated with AKT/AMPK/PPARα activation and MAPK/NF-κB/SREBP-1c inhibition.

Picroside II is the main active ingredient in the root department of Chinese medicine Picrorhiza scrophulariiflora which has been proved to have beneficial effects on health, such as ameliorating the cerebral ischemia and protecting the liver. However, its effects on acute lung injury remain unclear. The purpose of the study was to evaluate the effects of picroside II on acute lung injury in mice and the inflammation in A549 cells which are lipopolysaccharide (LPS) induced. We evaluated the levels of tumor necrosis factor-α (TNF-α), interleukin-1 (IL-1β), and interleukin-6 (IL-6) in vivo and vitro by enzyme-linked immunosorbent assay (ELISA) and quantitative polymerase chain reaction (qRT-PCR). Results showed picroside II significantly decreased the concentrations of TNF-α, IL-1β, and IL-6 in cells and mice. In addition, Western blot and immunofluorescence analysis indicated that picroside II suppressed the activation of p65 NF-κB signaling pathway compared with LPS stimulation. In the acute lung injury model of mice, after picroside II treatment, the pathologic changes of lung tissues had been alleviated and lung wet/dry weight ratio was decreased. In summary, picroside II showed the promising effects of anti-inflammation in cells and animals.

Pasteurellosis caused by Pasteurella multocida manifest often as respiratory infection in farmed small ruminants. Although the incidence of pasteurellosis due to P. multocida mainly takes the form of pneumonia, there is limited information on host factors that play a role in disease pathogenesis in the milieu of host-pathogen interactions. Nuclear factor-erythroid 2 related factor 2 (Nrf-2), a critical regulator for various inflammatory and immune responses by controlling oxidative stress, may play an important role in the processes of inflammation induced by P. multocida. In this study, linalool, a natural compound of the essential oils in several aromatic plant species, elevated nuclear Nrf-2 protein translocation in the A549 lung cell line and in vivo. The P. multocida-induced pro-inflammatory cytokines expression was abrogated by Nrf-2 siRNA. Postponed treatment with linalool decreased lung neutrophil accumulation and enhanced clearance of P. multocida. Furthermore, linalool significantly increased the expression of antioxidant enzymes regulated by Nrf-2 and diminished lung tissue levels of several pro-inflammatory cytokines, including tumor necrosis factor α (TNF-α) and interleukin (IL)-6. In addition, animals treated with linalool had a marked improvement in survival. These findings have uncovered that linalool acts as a novel Nrf-2 activator for a novel therapeutic strategy in pathogen-mediated lung inflammation.

A new expression is proposed to simulate Brownian force based on the experimental measurement results of Brownian motion, which follows white Gaussian noise process. As the time t → 0 and the particle density is equal to the fluid density, the new expression approaches the classical formula of the model used by many researchers. The modified model is validated by theoretical and experimental data. On the other hand, as it origins from the unbalanced force exerted by surrounding fluid molecules, the drag analogy force model is constructed describing the Brownian force, which depends on size-related statistical velocity. Thus, a different expression for the Langevin equation is presented. The present model is applied in simulating flow and heat transfer in a channel utilizing alumina–water nanofluid. Navier–Stokes equations with modified source terms for the continuous flow have been discretized using finite element method. The velocities and temperatures of nanoparticles are determined in the Lagrangian reference frame. The simulation results show that the distribution of nanoparticles inside the channel is obviously unsteady and nonuniform. The fluid velocity and temperature profiles show significant fluctuation feature at low Reynolds numbers (Re). The impact of Brownian motion on the fluid flow is analyzed quantitatively. We have found that for Re

Morin, a bioactive flavonoid extracted from the bark of Moraceae plants and many medicinal herbs, has anti-inflammatory and antioxidative effects. In this research, we explored the protective effects of morin against lipopolysaccharide (LPS) and d-galactosamine (D-GalN) induced acute liver injury in mice. Mice were given an intraperitoneal injection of morin before LPS and D-GalN treatment and the HepG2 cells were only given morin to investigate its effects. The results showed that morin markedly inhibited the production of serum alanine transaminase (ALT), aspartate aminotransferase (AST), interleukin-6 (IL-6), tumor necrosis factor (TNF-α) and hepatic TNF-α, IL-6, and myeloperoxidase (MPO) induced by LPS/D-GalN. In order to evaluate morin effect in the future, we investigated the expression of nuclear factor E2 related factor 2 (Nrf2), nuclear factor-kappaB (NF-κB), toll like receptor 4 (TLR4) on liver injury. Taken together, these results suggested that morin could exert the anti-inflammatory and anti-oxidative effects against LPS/D-GalN-induced acute liver injury by activating Nrf2 signal pathways and inhibiting NF-κB activation.

Isorhamnetin, a flavonoid mainly found in Hippophae fhamnoides L. fruit, has been known for its antioxidant activity and its ability to regulate immune response. In this study, we investigated whether isorhamnetin exerts potent antiinflammatory effects in RAW264.7 cell and mouse model stimulated by LPS. The cytokine (TNF-α, IL-1β, and IL-6) levels were determined. In the mouse model of acute lung injury, the phosphorylation of NF-κB proteins was analyzed and inhibitor of NF-κB signaling (PDTC) was used on mice. Our results showed that isorhamnetin markedly decreased TNF-α, IL-1β, and IL-6 concentrations and suppressed the activation of NF-κB signaling. Meanwhile, isorhamnetin reduced the amount of inflammatory cells, the lung wet-to-dry weight ratio, protein leakage, and myeloperoxidase activity. Interference with specific inhibitor revealed that isorhamnetin-mediated suppression of cytokines and protein was via NF-κB signaling. So, it suggests that isorhamnetin might be a potential therapeutic agent for preventing inflammatory diseases.

Atherosclerosis is a chronic inflammatory disease of the vascular walls. ApoCIII is an independent factor which promotes atherosclerotic processes. This study aimed to investigate whether Loganin administration inhibits the inflammatory response in vitro and in vivo. In the apoCIII-induced mouse adipocytes, the levels of cytokines, including TNF-α, MCP-1 and IL-6 were determined by enzyme-linked immunosorbent assay and their gene expressions were measured through RT-PCR. The phosphorylation of nuclear factor-κB (NF-κB) proteins was analyzed by Western blotting. Our results showed that Loganin markedly decreased TNF-α, MCP-1 and IL-6 concentrations as well as their gene expressions. Western blotting analysis indicated that Loganin suppressed the activation of NF-κB signaling. In the Tyloxapol-treated mouse model, Loganin reduced the contents of TC and TG in mouse serum. The results of Oil Red-O Staining showed that Loganin reduced the production of lipid droplets. So it is suggested that Loganin might be a potential therapeutic agent for preventing the inflammation stress in vitro and in vivo.

Flow of a viscoelastic fluid in porous channels with expanding or contracting walls is investigated. Using similar transformation, the governing equations are reduced to a nonlinear fifthorder differential equation. The Adomian method is employed to obtain the expression for velocity fields. The analytical solutions are influenced by the permeation Reynolds number Re, the wall expansion ratio α and viscoelastic parameter ω. The effects of some values of parameters on velocity are discussed in details.