Network Proactive Defense Model Based on Immune Danger Theory

Recent investigations into proactive network defense have not produced a systematic methodology and structure; in addition, issues including multi-source information fusion and attacking behavior analysis have not been resolved. Borrowing ideas of danger sensing and immune response from danger theory, a proactive network defense model based on danger theory is proposed. This paper defines the signals and antigens in the network environment as well as attacking behavior analysis algorithm, providing evidence for future proactive defense strategy selection. The results of preliminary simulations demonstrate that this model can sense the onset of varied network attacks and corresponding endangered intensities, which help to understand the attack methods of hackers and assess the security situation of the current network, thus a better proactive defense strategy can be deployed. Moreover, this model possesses good robustness and accuracy

Experimental Study on Mechanical Deformation Characteristics of Inclined and Straight Alternating Pile Groups

In order to investigate the bearing characteristics of inclined straight alternating pile groups under vertical and horizontal loads, the indoor model test of 2 × 2 inclined straight alternating pile groups with two layers of soil on low pile caps was carried out, the manufacturing method of inclined straight alternating pile groups was studied, and the test scheme was reasonably designed. In the test, the fast maintenance load method was used to simulate vertical loads, and the horizontal force loading frame was designed to simulate horizontal loads. The experimental data were obtained by pasting strain gauges on the pile body, and the computer was used to process the data according to the mechanical formula. The distribution of axial force, lateral friction resistance, and end resistance of each characteristic pile of the pile group foundation was obtained, and the settlement law of the pile group was analyzed. At the same time, combined with the test data and the existing theories, the interaction mechanism between pile caps, piles, and soil of inclined and straight alternating pile groups is discussed. The load sharing characteristics between piles and pile caps are analyzed, and the horizontal load is in the proportion between straight piles and inclined piles. The stress characteristics of straight piles and pile groups in the pile group system are compared and analyzed, and some valuable conclusions are obtained

Effect of Curing Conditions on the Strength Development of Alkali-Activated Mortar

In this study, the strength development and microstructure evolution of alkali-activated fly ash (AAF), granulated blast furnace slag (AAG), and metakaolin (AAM) mortars under standard curing, steam curing, and oven curing conditions were investigated. The results show that 80 °C steam curing was more suitable for AAF mortar. Although oven curing was not as good as steam curing under the same temperature, the water evaporation increased the volume density of the N-A-S-H gel and refined the pore structure. For AAG mortar, the strength developed according to a Boltzmann function with time under steam curing conditions, which increased rapidly in the first 8 h, but grew little after about 15 h. Moreover, the strength development was severely limited by steam curing at 60 °C, and decreased under oven curing conditions due to the formation of microcracks that were induced by temperature stress and chemical shrinkage. For AAM mortar, the strength developed according to an Allometric power function with time under steam curing conditions, and the N-A-S-H gel formed in AAM had a higher polymerization degree and denser structure compared to that in AAF. The compressive strength of AAM mortar was 31.7 MPa after 80 °C steam curing for 4 h, and the standard curing time required to reach the same strength was less than 24 h, indicating that the standard curing was more suitable

Serum hepatokines in dairy cows: periparturient variation and changes in energy-related metabolic disorders

International audienceBACKGROUND: During peripartum period, dairy cows are highly susceptible to energy metabolism disorders such as fatty liver and ketosis. Angiopoietin-like protein 4 (ANGPTL4) and fibroblast growth factor 21 (FGF21), known as hepatokines, play important roles in lipid metabolism. The purposes of our study were to evaluate variations of serum ANGPTL4 and FGF21 concentrations in periparturient dairy cows and changes in these serum analyte concentrations of energy-related metabolic disorders in early lactation dairy cows. This study was divided into two experiments. Experiment I: Blood parameters were measured in healthy periparturient Holstein cows from 4 wk antepartum to 4 wk postpartum (n = 219). In this experiment, weekly blood samples were obtained from 4 wk before the expected calving date through 4 wk after calving. Experiment II: Blood parameters were measured in healthy cows (n = 30) and cows with clinical ketosis (n = 29) and fatty liver (n = 25) within the first 4 wk of lactation. In the present study, all blood samples were collected from the coccygeal vein in the early morning before feeding.RESULTS: Serum ANGPTL4 and FGF21 concentrations peaked at parturition, and declined rapidly over the following 2 wk Serum ANGPTL4 and FGF21 concentrations were positively correlated with serum non-esterified fatty acids (NEFA) concentration (r = 0.856, P = 003; r = 0.848, P = 0.004, respectively). Cows with clinical ketosis and fatty liver had significantly higher serum ANGPTL4 and FGF21 concentrations than healthy cows (P < 0.01).CONCLUSION: Serum ANGPTL4 and FGF21 concentrations were elevated during peripartum period, suggesting that energy balance changes that were associated with parturition contributed significantly to these effects. Although FGF21 and ANGPTL4 could play important roles in the adaptation of energy metabolism, they may be involved in the pathological processes of energy metabolism disorders of dairy cows in the peripartum period

Division of Labor among Worker Bees Is Associated with the Lipidomic Plasticity in Their Brains

The division of labor is a dominant characteristic of honeybees and is accompanied by behavioral specialization and cognitive enhancement. As the central nervous system to control the labor-specific behaviors of honeybee, the brain is richest in lipid in terms of both diversity and abundance. In this study, an in-depth LC-MS/MS-based lipidomic method was applied to systematically characterize the brain lipid compositions of worker bees with three labor stages: newly emerged bee (NEB), nurse bee (NB), and forager bee (FB). A total number of 337 lipid species that assigned to 20 lipid classes were analyzed. The association of the brain lipidomes with the division of labors was suggested by the results of both the unsupervised and supervised multivariate pattern recognition analysis. More than 68% of the identified lipid species were found to be significantly changed in at least one comparison between NEB, NB, and FB. A total of 81 lipid species were identified as the potential labor-featured molecules with VIP &gt; 1 and p-adj &lt; 0.05. The labor-featured lipids of FA(18:2), FA(18:3), FA(26:0), PC(18:0_18:3), PS(18:1_18:1), SM(d38:1), CoQ10, and CoQ9, as well as their interactions with 12 behavior-related genes, including AmEST-6, AmFABP, AmE75, AmDGAT2, AmLSD1, AmNPC1, AmABCA1, AmNMDAR1, AmHTT, AmNOS, etc., were revealed by the further IPA analysis. These findings demonstrate for the first time that the brain lipidomes of worker bees are associated with the stable differences in their labors, which help understand the function of brain lipids on the labor-dependent behaviors of honeybees