This page displays measures for the network Semantic Network [Assets x Assets].
Network images have nodes colored by group and sized by betweenness centrality.
Assets-Level Measures
These measures were run on the specified network, and produced a vector of values, one value for each Assets node.
Input network: Semantic Network [Assets x Assets]
Measure Min Mean Max Std.Dev Centrality, Authority 0 0.024 0.197 0.055 Centrality, Authority [Unscaled] 0 0.017 0.139 0.039 Centrality, Betweenness 0 0.001 0.022 0.004 Centrality, Betweenness [Unscaled] 0 0.333 7 1.333 Centrality, Bonacich Power 0 1.200e-04 9.857e-04 2.750e-04 Centrality, Bonacich Power [Unscaled] 0 0.122 1 0.279 Centrality, Closeness 7.559e-04 7.957e-04 9.354e-04 7.459e-05 Centrality, Closeness [Unscaled] 9.690e-06 1.020e-05 1.199e-05 9.562e-07 Centrality, Contribution 0 0.024 0.199 0.055 Centrality, Contribution [Unscaled] 0 0.017 0.141 0.039 Centrality, Eccentricity 0 3.444 20 6.669 Centrality, Ego Betweenness 0 0.072 1 0.231 Centrality, Eigenvector 0 0.024 0.197 0.055 Centrality, Eigenvector [Unscaled] 0 0.017 0.139 0.039 Centrality, Exponential Rank 0.928 0.936 1 0.020 Centrality, Exponential Rank [Unscaled] 0.037 0.037 0.040 7.771e-04 Centrality, Hub 0 0.024 0.197 0.055 Centrality, Hub [Unscaled] 0 0.017 0.139 0.039 Centrality, In-Closeness 1.890e-04 1.911e-04 1.985e-04 3.957e-06 Centrality, In-Closeness [Unscaled] 2.423e-06 2.450e-06 2.545e-06 5.073e-08 Centrality, In-Degree 0 0.009 0.073 0.020 Centrality, In-Degree [Unscaled] 0 32.519 279 75.997 Centrality, In-Inverse Closeness 0 0.016 0.109 0.032 Centrality, In-Inverse Closeness [Unscaled] 0 0.142 0.946 0.279 Centrality, Information 0 0.037 0.198 0.071 Centrality, Information [Unscaled] 0 6.670 35.601 12.836 Centrality, Inverse Closeness 0 0.016 0.109 0.032 Centrality, Inverse Closeness [Unscaled] 0 0.142 0.946 0.279 Centrality, Katz 0 0.034 0.276 0.077 Centrality, Katz [Unscaled] 0 0.122 1 0.279 Centrality, Out-Degree 0 0.009 0.073 0.020 Centrality, Out-Degree [Unscaled] 0 32.519 279 75.997 Centrality, PageRank 0.007 0.037 0.269 0.071 Centrality, Radiality 0 0.043 0.192 0.080 Centrality, Radiality [Unscaled] 0 4,398.963 19,811 8,229.708 Centrality, Total-Degree 0 0.009 0.073 0.020 Centrality, Total-Degree [Unscaled] 0 32.519 279 75.997 Overall Top-Ranked Assets
This chart shows the Assets nodes that are top-ranked overall using the node-level measures listed below. The value shown for a node is the average of its measure values, each of which is first converted into a z-score. The final scores are then normalized to be between zero and one.
There are 27 nodes in the nodeset.
Overall Score Measure List
Centrality, Authority [Semantic Network [Assets x Assets]]
Centrality, Betweenness [Semantic Network [Assets x Assets]]
Centrality, Bonacich Power [Semantic Network [Assets x Assets]]
Centrality, Closeness [Semantic Network [Assets x Assets]]
Centrality, Contribution [Semantic Network [Assets x Assets]]
Centrality, Eccentricity [Semantic Network [Assets x Assets]]
Centrality, Ego Betweenness [Semantic Network [Assets x Assets]]
Centrality, Eigenvector [Semantic Network [Assets x Assets]]
Centrality, Exponential Rank [Semantic Network [Assets x Assets]]
Centrality, Hub [Semantic Network [Assets x Assets]]
Centrality, In-Closeness [Semantic Network [Assets x Assets]]
Centrality, In-Degree [Semantic Network [Assets x Assets]]
Centrality, In-Inverse Closeness [Semantic Network [Assets x Assets]]
Centrality, Information [Semantic Network [Assets x Assets]]
Centrality, Inverse Closeness [Semantic Network [Assets x Assets]]
Centrality, Katz [Semantic Network [Assets x Assets]]
Centrality, Out-Degree [Semantic Network [Assets x Assets]]
Centrality, PageRank [Semantic Network [Assets x Assets]]
Centrality, Radiality [Semantic Network [Assets x Assets]]
Centrality, Total-Degree [Semantic Network [Assets x Assets]]
Centrality, Authority
A node is authority-central to the extent that its in-links are from nodes that have many out-links. Individuals or organizations that act as authorities are receiving information from a wide range of others each of whom sends information to a large number of others.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 gain 0.197 0.139 2 loss 0.190 0.134 3 policy 0.116 0.082 4 source 0.088 0.062 5 resource 0.050 0.035 6 rewards 0.016 0.011 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.024 Lower quartile: 0 Max: 0.197 Std.dev: 0.055 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 0.017 Lower quartile: 0 Max: 0.139 Std.dev: 0.039 Median: 0 Upper quartile: 0 Centrality, Betweenness
The Betweenness Centrality of node v in a network is defined as: across all node pairs that have a shortest path containing v, the percentage that pass through v. When the data is weighted, the higher the weight the more value the link has. Individuals or organizations that are potentially influential are positioned to broker connections between groups and to bring to bear the influence of one group on another or serve as a gatekeeper between groups. This agent occurs on many of the shortest paths between other agents. The scientific name of this measure is betweenness centrality and it is calculated on agent by agent matrices.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 rewards 0.022 7 2 policy 0.003 1 3 source 0.003 1 4 air 0 0 5 airline 0 0 6 airport 0 0 7 baggage 0 0 8 communication_link 0 0 9 domain_generation_algorithms 0 0 10 facilities 0 0 11 firewalls 0 0 12 gain 0 0 13 house 0 0 14 hypervisor 0 0 15 label 0 0 16 labels 0 0 17 list 0 0 18 loss 0 0 19 news 0 0 20 product 0 0 21 remote_access_tools 0 0 22 report 0 0 23 resource 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.001 Lower quartile: 0 Max: 0.022 Std.dev: 0.004 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 0.333 Lower quartile: 0 Max: 7 Std.dev: 1.333 Median: 0 Upper quartile: 0 Centrality, Bonacich Power
This computes the centrality of each entity based on the centrality of its neighbors. Beta should be chosen such that its absolute value is less than the reciprocal of the largest eigenvalue of N.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 gain 9.857e-04 1 2 loss 9.474e-04 0.961 3 policy 5.605e-04 0.569 4 source 4.280e-04 0.434 5 resource 2.408e-04 0.244 6 rewards 7.669e-05 0.078 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 1.200e-04 Lower quartile: 0 Max: 9.857e-04 Std.dev: 2.750e-04 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 0.122 Lower quartile: 0 Max: 1 Std.dev: 0.279 Median: 0 Upper quartile: 0 Centrality, Closeness
The closeness of a node to the other nodes in a network (also called out-closeness). Loosely, Closeness is the inverse of the sum of distances in the network from a node to all other nodes.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 rewards 9.354e-04 1.199e-05 2 source 9.354e-04 1.199e-05 3 policy 9.353e-04 1.199e-05 4 gain 9.353e-04 1.199e-05 5 loss 9.351e-04 1.199e-05 6 resource 9.351e-04 1.199e-05 7 air 7.559e-04 9.690e-06 8 airline 7.559e-04 9.690e-06 9 airport 7.559e-04 9.690e-06 10 baggage 7.559e-04 9.690e-06 11 communication_link 7.559e-04 9.690e-06 12 domain_generation_algorithms 7.559e-04 9.690e-06 13 facilities 7.559e-04 9.690e-06 14 firewalls 7.559e-04 9.690e-06 15 house 7.559e-04 9.690e-06 16 hypervisor 7.559e-04 9.690e-06 17 label 7.559e-04 9.690e-06 18 labels 7.559e-04 9.690e-06 19 list 7.559e-04 9.690e-06 20 news 7.559e-04 9.690e-06 21 product 7.559e-04 9.690e-06 22 remote_access_tools 7.559e-04 9.690e-06 23 report 7.559e-04 9.690e-06 24 rundll32 7.559e-04 9.690e-06 25 space 7.559e-04 9.690e-06 26 time 7.559e-04 9.690e-06 27 toc 7.559e-04 9.690e-06
Value statistics Min: 7.559e-04 Mean: 7.957e-04 Lower quartile: 7.559e-04 Max: 9.354e-04 Std.dev: 7.459e-05 Median: 7.559e-04 Upper quartile: 7.559e-04
Unscaled value statistics Min: 9.690e-06 Mean: 1.020e-05 Lower quartile: 9.690e-06 Max: 1.199e-05 Std.dev: 9.562e-07 Median: 9.690e-06 Upper quartile: 9.690e-06 Centrality, Contribution
This computes Eigenvector Centrality on a transformation of the input network. Link values are transformed to be proportional to the dissimilarity of the nodes they connect. The intuition is that a link between two nodes with the same neighbors is not an important link since neither node gains new neighbors by the connection. Specifically, each link is weighted by the inverse of the Jaccard similarity of its nodes.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 gain 0.199 0.141 2 loss 0.190 0.134 3 policy 0.112 0.079 4 source 0.085 0.060 5 resource 0.054 0.038 6 rewards 0.019 0.013 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.024 Lower quartile: 0 Max: 0.199 Std.dev: 0.055 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 0.017 Lower quartile: 0 Max: 0.141 Std.dev: 0.039 Median: 0 Upper quartile: 0 Centrality, Eccentricity
The Eccentricity Centrality of a node is the normalized inverse of its maximum distance to any other node. It is highest when the distance to all other nodes is small.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value 1 loss 20 2 resource 20 3 gain 16 4 policy 14 5 rewards 13 6 source 10 7 air 0 8 airline 0 9 airport 0 10 baggage 0 11 communication_link 0 12 domain_generation_algorithms 0 13 facilities 0 14 firewalls 0 15 house 0 16 hypervisor 0 17 label 0 18 labels 0 19 list 0 20 news 0 21 product 0 22 remote_access_tools 0 23 report 0 24 rundll32 0 25 space 0 26 time 0 27 toc 0
Unscaled value statistics Min: 0 Mean: 3.444 Lower quartile: 0 Max: 20 Std.dev: 6.669 Median: 0 Upper quartile: 0 Centrality, Ego Betweenness
The Ego (Network) Betweenness Centrality of node in a network is its betweenness score within its own ego network. The ego network contains the following: the node itself, its immediate neighbor nodes, and all links between them.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value 1 rewards 1 2 resource 0.750 3 policy 0.100 4 source 0.100 5 air 0 6 airline 0 7 airport 0 8 baggage 0 9 communication_link 0 10 domain_generation_algorithms 0 11 facilities 0 12 firewalls 0 13 gain 0 14 house 0 15 hypervisor 0 16 label 0 17 labels 0 18 list 0 19 loss 0 20 news 0 21 product 0 22 remote_access_tools 0 23 report 0 24 rundll32 0 25 space 0 26 time 0 27 toc 0
Unscaled value statistics Min: 0 Mean: 0.072 Lower quartile: 0 Max: 1 Std.dev: 0.231 Median: 0 Upper quartile: 0 Centrality, Eigenvector
Calculates the principal eigenvector of the network. A node is central to the extent that its neighbors are central.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 gain 0.197 0.139 2 loss 0.190 0.134 3 policy 0.116 0.082 4 source 0.088 0.062 5 resource 0.050 0.035 6 rewards 0.016 0.011 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.024 Lower quartile: 0 Max: 0.197 Std.dev: 0.055 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 0.017 Lower quartile: 0 Max: 0.139 Std.dev: 0.039 Median: 0 Upper quartile: 0 Centrality, Exponential Rank
Computes the Exponential Ranking Centrality that defines the centrality of a node as its trustworthiness, which is based on the degree to which other nodes trust it. The link values define initial trust between nodes: positive values indicate trust and negative values distrust (negative link values can be used). This measure is similar to eigenvector centrality.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 gain 1 0.040 2 loss 0.996 0.039 3 policy 0.964 0.038 4 source 0.956 0.038 5 resource 0.943 0.037 6 rewards 0.933 0.037 7 air 0.928 0.037 8 airline 0.928 0.037 9 airport 0.928 0.037 10 baggage 0.928 0.037 11 communication_link 0.928 0.037 12 domain_generation_algorithms 0.928 0.037 13 facilities 0.928 0.037 14 firewalls 0.928 0.037 15 house 0.928 0.037 16 hypervisor 0.928 0.037 17 label 0.928 0.037 18 labels 0.928 0.037 19 list 0.928 0.037 20 news 0.928 0.037 21 product 0.928 0.037 22 remote_access_tools 0.928 0.037 23 report 0.928 0.037 24 rundll32 0.928 0.037 25 space 0.928 0.037 26 time 0.928 0.037 27 toc 0.928 0.037
Value statistics Min: 0.928 Mean: 0.936 Lower quartile: 0.928 Max: 1 Std.dev: 0.020 Median: 0.928 Upper quartile: 0.928
Unscaled value statistics Min: 0.037 Mean: 0.037 Lower quartile: 0.037 Max: 0.040 Std.dev: 7.771e-04 Median: 0.037 Upper quartile: 0.037 Centrality, Hub
A node is hub-central to the extent that its out-links are to nodes that have many in-links. Individuals or organizations that act as hubs are sending information to a wide range of others each of whom has many others reporting to them. Technically, an agent is hub-central if its out-links are to agents that have many other agents sending links to them. The scientific name of this measure is hub centrality and it is calculated on agent by agent matrices.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 gain 0.197 0.139 2 loss 0.190 0.134 3 policy 0.116 0.082 4 source 0.088 0.062 5 resource 0.050 0.035 6 rewards 0.016 0.011 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.024 Lower quartile: 0 Max: 0.197 Std.dev: 0.055 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 0.017 Lower quartile: 0 Max: 0.139 Std.dev: 0.039 Median: 0 Upper quartile: 0 Centrality, In-Closeness
The closeness of all other nodes to a node in the network. Loosely, In-Closeness Centrality is the inverse of the sum of distances in the network to a node and from all other nodes.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 rewards 1.985e-04 2.545e-06 2 source 1.985e-04 2.545e-06 3 policy 1.985e-04 2.545e-06 4 gain 1.985e-04 2.545e-06 5 loss 1.985e-04 2.545e-06 6 resource 1.985e-04 2.545e-06 7 air 1.890e-04 2.423e-06 8 airline 1.890e-04 2.423e-06 9 airport 1.890e-04 2.423e-06 10 baggage 1.890e-04 2.423e-06 11 communication_link 1.890e-04 2.423e-06 12 domain_generation_algorithms 1.890e-04 2.423e-06 13 facilities 1.890e-04 2.423e-06 14 firewalls 1.890e-04 2.423e-06 15 house 1.890e-04 2.423e-06 16 hypervisor 1.890e-04 2.423e-06 17 label 1.890e-04 2.423e-06 18 labels 1.890e-04 2.423e-06 19 list 1.890e-04 2.423e-06 20 news 1.890e-04 2.423e-06 21 product 1.890e-04 2.423e-06 22 remote_access_tools 1.890e-04 2.423e-06 23 report 1.890e-04 2.423e-06 24 rundll32 1.890e-04 2.423e-06 25 space 1.890e-04 2.423e-06 26 time 1.890e-04 2.423e-06 27 toc 1.890e-04 2.423e-06
Value statistics Min: 1.890e-04 Mean: 1.911e-04 Lower quartile: 1.890e-04 Max: 1.985e-04 Std.dev: 3.957e-06 Median: 1.890e-04 Upper quartile: 1.890e-04
Unscaled value statistics Min: 2.423e-06 Mean: 2.450e-06 Lower quartile: 2.423e-06 Max: 2.545e-06 Std.dev: 5.073e-08 Median: 2.423e-06 Upper quartile: 2.423e-06 Centrality, In-Degree
The number of links directed into a node normalized by the maximum number of such links. This measure is also called Column Degree Centrality because it is computed by taking the sum of the column values in the input network.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 gain 0.073 279 2 loss 0.069 265 3 policy 0.037 142 4 source 0.029 110 5 resource 0.016 61 6 rewards 0.005 21 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.009 Lower quartile: 0 Max: 0.073 Std.dev: 0.020 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 32.519 Lower quartile: 0 Max: 279 Std.dev: 75.997 Median: 0 Upper quartile: 0 Centrality, In-Inverse Closeness
The average closeness of a node to the other nodes in a network considering only paths emanating out from a node. Inverse Closeness is the sum of the inverse distances between a node and all other nodes.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 rewards 0.109 0.946 2 source 0.090 0.776 3 gain 0.074 0.637 4 policy 0.066 0.572 5 resource 0.053 0.456 6 loss 0.053 0.455 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.016 Lower quartile: 0 Max: 0.109 Std.dev: 0.032 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 0.142 Lower quartile: 0 Max: 0.946 Std.dev: 0.279 Median: 0 Upper quartile: 0 Centrality, Information
Calculates the Stephenson and Zelen information centrality measure for each node.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 loss 0.198 35.601 2 gain 0.197 35.558 3 policy 0.184 33.065 4 source 0.175 31.576 5 resource 0.150 26.979 6 rewards 0.096 17.312 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.037 Lower quartile: 0 Max: 0.198 Std.dev: 0.071 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 6.670 Lower quartile: 0 Max: 35.601 Std.dev: 12.836 Median: 0 Upper quartile: 0 Centrality, Inverse Closeness
The average closeness of a node to the other nodes in a network (also called out-inverse closeness centrality). Inverse Closeness is the average inverse distance from a node and to all other nodes.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 rewards 0.109 0.946 2 source 0.090 0.776 3 gain 0.074 0.637 4 policy 0.066 0.572 5 resource 0.053 0.456 6 loss 0.053 0.455 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.016 Lower quartile: 0 Max: 0.109 Std.dev: 0.032 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 0.142 Lower quartile: 0 Max: 0.946 Std.dev: 0.279 Median: 0 Upper quartile: 0 Centrality, Katz
This computes the centrality of each entity based on the centrality of its neighbors. Alpha should be chosen such that its absolute value is less than the reciprocal of the largest eigenvalue of N.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 gain 0.276 1 2 loss 0.266 0.961 3 policy 0.157 0.569 4 source 0.120 0.434 5 resource 0.068 0.244 6 rewards 0.022 0.078 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.034 Lower quartile: 0 Max: 0.276 Std.dev: 0.077 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 0.122 Lower quartile: 0 Max: 1 Std.dev: 0.279 Median: 0 Upper quartile: 0 Centrality, Out-Degree
For any node, e.g. an individual or a resource, the out-links are the connections that the node of interest has to other nodes. For example, imagine an agent by knowledge network where the number of out-links an agent would have is the number of pieces of knowledge it is connected to. The scientific name of this measure is out-degree and it can be calculated on any network.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 gain 0.073 279 2 loss 0.069 265 3 policy 0.037 142 4 source 0.029 110 5 resource 0.016 61 6 rewards 0.005 21 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.009 Lower quartile: 0 Max: 0.073 Std.dev: 0.020 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 32.519 Lower quartile: 0 Max: 279 Std.dev: 75.997 Median: 0 Upper quartile: 0 Centrality, PageRank
Calculates the importance of a node based on the importance of its in-coming neighbors. The input network links are normalized and interpreted as the probability of a transition from node i to node j. The PageRank of a node can be interpreted as the fraction of times a node would be visitied when traversing the network according to the network of probabilities.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value 1 gain 0.269 2 loss 0.256 3 policy 0.140 4 source 0.110 5 resource 0.063 6 rewards 0.026 7 air 0.007 8 airline 0.007 9 airport 0.007 10 baggage 0.007 11 communication_link 0.007 12 domain_generation_algorithms 0.007 13 facilities 0.007 14 firewalls 0.007 15 house 0.007 16 hypervisor 0.007 17 label 0.007 18 labels 0.007 19 list 0.007 20 news 0.007 21 product 0.007 22 remote_access_tools 0.007 23 report 0.007 24 rundll32 0.007 25 space 0.007 26 time 0.007 27 toc 0.007
Unscaled value statistics Min: 0.007 Mean: 0.037 Lower quartile: 0.007 Max: 0.269 Std.dev: 0.071 Median: 0.007 Upper quartile: 0.007 Centrality, Radiality
The Radiality Centrality of a node is the normalized sum of its closeness to all other nodes. The closeness of a node u to another node v is the network diameter minus the shortest path distance from u to v.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 rewards 0.192 19,811 2 source 0.192 19,805 3 policy 0.192 19,797 4 gain 0.192 19,796 5 loss 0.192 19,783 6 resource 0.192 19,780 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.043 Lower quartile: 0 Max: 0.192 Std.dev: 0.080 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 4,398.963 Lower quartile: 0 Max: 19,811 Std.dev: 8,229.708 Median: 0 Upper quartile: 0 Centrality, Total-Degree
The Total-Degree Centrality of a node is the normalized sum of its In-Degree and Out-Degree.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Assets x Assets]
Rank Assets Value Unscaled 1 gain 0.073 279 2 loss 0.069 265 3 policy 0.037 142 4 source 0.029 110 5 resource 0.016 61 6 rewards 0.005 21 7 air 0 0 8 airline 0 0 9 airport 0 0 10 baggage 0 0 11 communication_link 0 0 12 domain_generation_algorithms 0 0 13 facilities 0 0 14 firewalls 0 0 15 house 0 0 16 hypervisor 0 0 17 label 0 0 18 labels 0 0 19 list 0 0 20 news 0 0 21 product 0 0 22 remote_access_tools 0 0 23 report 0 0 24 rundll32 0 0 25 space 0 0 26 time 0 0 27 toc 0 0
Value statistics Min: 0 Mean: 0.009 Lower quartile: 0 Max: 0.073 Std.dev: 0.020 Median: 0 Upper quartile: 0
Unscaled value statistics Min: 0 Mean: 32.519 Lower quartile: 0 Max: 279 Std.dev: 75.997 Median: 0 Upper quartile: 0


Location of origin: Midwest, USA
Job: Shock & Awe
Special Ability: Rocket Jumping
Though he wanted desperately to fight in World War 2, the Soldier was rejected from every branch of the U.S. military. Undaunted, he bought his own ticket to Europe. After arriving and finally locating Poland, the Soldier taught himself how to load and fire a variety of weapons before embarking on a Nazi killing spree for which he was awarded several medals that he designed and made himself. His rampage ended immediately upon hearing about the end of the war in 1949.
The Soldier is a crazed, jingoistic patriot from America's heartland. Tough and well-armed, he is versatile,
capable of both offense and defense, and a great starter class to get familiar with the game.
The Soldier is well known for his spectacular rocket jump. In defiance of all good sense and judgment, the
Soldier can detonate a rocket at his feet and launch himself skyward at the cost of some health (which can
be reduced by the Gunboats, or negated altogether by the Rocket Jumper). This ability allows the Soldier to
navigate the battlefield by air, appear from unexpected places, and reach areas off-limits even to the
Scout's double jump and Hype jumps. The Soldier's time airborne from a rocket jump can be increased with the
B.A.S.E. Jumper.
Well-balanced and possessing both survivability and mobility, the Soldier is considered one of the most
flexible classes in Team Fortress 2. Despite his low ground movement speed, he is capable of using rocket
jumps to reach his destination quickly. His large health pool is second only to that of the Heavy, and his
wide array of armaments and weaponry allows him to bring whatever weapon or equipment is best suited to the
situation at hand.


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NeoLoad Test Report
Summary
Results summary
Statistics Summary
Hot spots
Errors
Alerts
General statistics
Servers
Virtual Users
Containers
Push messages
Pages
Media Contents
Monitors
SLA per SLA Profile
SLA per VU Profile
Scenario
Main graphs
Average page response time
Average request response time
Average response time (containers)
Hits per second
Errors
Throughput
Response time against load
Distribution of Page Response Times
Top 10 First Alerts


|
Progressive Delivery in Kubernetes
🎥
|
jPrime |
2023/05/31 Sofia, Bulgaria |
|
We Moved one Java Product to Kubernetes and This Is What We Learned
🎥
|
Devoxx UK |
2023/05/12 London, UK |
|
Optimizing Resource Usage in Kubernetes
🎥
|
Devoxx Greece |
2023/05/06 Athens, Greece |
|
Improving Release Reliability with Argo Rollouts across 10k Customer Services
🎥
|
ArgoCon/KubeCon |
2023/04/18 Amsterdam, Netherlands |
|
We Moved one Java Product to Kubernetes and This Is What We Learned
🎥
|
Voxxed Days Romania |
2023/03/24 Bucharest, Romania |
|
Continuous Delivery to many Kubernetes Clusters
🎥
|
FOSDEM |
2023/02/04 Brussels, Belgium |
|
Optimizing Resource Usage in Kubernetes
|
Devoxx Morocco |
2022/10/05 Agadir, Morocco |
|
We Moved one Java Product to Kubernetes and This Is What We Learned
|
Devoxx Morocco |
2022/10/05 Agadir, Morocco |
|
We Moved one Java Product to Kubernetes and This Is What We Learned
🎥
|
JavaZone
|
2022/09/07 Oslo |
|
How Adobe is Optimizing Resource Usage in Kubernetes
🎥
|
KubeCon EU |
2022/05/20 Valencia, Spain |
|
Dedicated Infrastructure in a Multitenant World
🎥
|
EnvoyCon |
2021/10/11 Online |
|
Dedicated Infrastructure in a Multitenant World
🎥
|
KubeCon EU |
2021/05/05 Online |
|
The Cloud Native Journey at Adobe
🎥
|
KubeCon NA |
2020/11/19 Online |
|
GitOps at Adobe
|
DevOps World |
2020/09/22 Online |
|
Progressive Delivery in Kubernetes
🎥
|
Codecamp |
2020/09/10 Online |
|
Progressive Delivery in Kubernetes
🎥
|
KubeCon EU |
2020/08/18 Online |
|
GitOps at Adobe
🎥
|
GitOps Days |
2020/05/20 Online |
| Progressive Delivery: Continuous Delivery the Right Way |
FOSDEM |
2020/02/02 Brussels, Belgium |
| Progressive Delivery with Jenkins X |
DevOps World Lisboa |
2019/12/05 Lisbon, Portugal |
| Progressive Delivery: Continuous Delivery the Right Way |
DevFest Istanbul |
2019/11/24 Istanbul, Turkey |
| Progressive Delivery in Kubernetes |
Devoxx Morocco |
2019/11/04 Agadir, Morocco |
| Jenkins X: Progressive Delivery for Kubernetes |
Øredev |
2019/11/06 Malmo, Sweden |
| Progressive Delivery in Kubernetes |
AtlanticaConf |
2019/10/04 A Coruña, Spain |
| Jenkins X: Progressive Delivery for Kubernetes 🎥 |
JavaZone |
2019/09/11 Oslo, Norway |
| Progressive Delivery: Implementing Continuous Delivery the Right Way |
DevFest Georgia |
2019/09/08 Tbilisi, Georgia |
| Jenkins X: Progressive Delivery for Kubernetes |
I Code Java |
2019/07/25 Johannesburg, South Africa |
| Progressive Delivery en Kubernetes |
Northem Quality |
2019/07/18 Online |
| Jenkins X: Next Generation Cloud Native CI/CD |
Jenkins User Conference China |
2019/07/06 Beijing, China |
| Progressive Delivery: Continuous Delivery the Right Way |
Jenkins Area Meetup Shanghai
Jenkins Area Meetup Beijing |
2019/06/29 Shanghai, China 2019/06/30 Beijing, China |
| Progressive Delivery: Continuous Delivery the Right Way |
Continuous Delivery Summit, KubeCon, China |
2019/06/24 Shanghai, China |
| Jenkins X: Progressive Delivery for Kubernetes |
JNation |
2019/06/04 Coimbra, Portugal |
| The Rise of Kubernetes |
KPN |
2019/05/30 Pune, India |
| Jenkins X: Continuous Delivery for Kubernetes |
KPN |
2019/05/30 Pune, India |
| Jenkins X: Continuous Delivery for Kubernetes |
Voxxed Days Minsk |
2019/05/24 Minsk, Belarus |
| Progressive Delivery in Kubernetes: Automatic Canary Deployments |
CD Conference |
2019/04/30 Online conference |
| Jenkins X: Continuous Delivery for Kubernetes |
CloudBees
webinar |
2019/02/28 Online webinar |
| Jenkins X: Continuous Delivery for Kubernetes |
JFokus |
2019/02/05 Stockholm, Sweden |
| Jenkins X: Continuous Delivery for Kubernetes |
KubeCon |
2018/12/12 Seattle, WA |
| Jenkins X: Continuous Delivery for Kubernetes |
Commit
Conf |
2018/11/23 Madrid, Spain |
| Scaling Jenkins with Kubernetes |
Moscow Jenkins Meetup |
2018/11/15 Moscow, Russia |
| Using Kubernetes for Continuous Integration and Continuous Delivery |
DevOps Pro |
2018/11/15 Moscow, Russia |
| Using Kubernetes for Continuous Integration and Continuous Delivery |
XantarJ |
2018/09/29 Santiago de Compostela, Spain |
| Using Kubernetes for Continuous Integration and Continuous Delivery |
JavaZone |
2018/09/12 Oslo, Norway |
| Testing on Kubernetes |
Agile Testing Days USA |
2018/06/27 Boston, Massachusetts |
| Using Kubernetes for Continuous Integration and Continuous Delivery |
Devoxx
France |
2018/04/19 Paris, France |
| Using Containers for Continuous Integration and Continuous Delivery |
KubeCon |
2017/12/06 Austin, Texas |
| Jenkins and Containers. A Match Made in Heaven |
Agile Testing Days |
2017/11/16 Potsdam, Germany |
| Using Kubernetes for Continuous Integration and Continuous Delivery |
Joker |
2017/11/03 Saint Petersburg, Russia |
| Divide and Conquer: Easier Continuous Delivery using Micro-Services
|
Bosnia Agile Day |
2017/10/21 Sarajevo, Bosnia |
| Using Kubernetes for Continuous Integration and Continuous Delivery |
Java2Days |
2017/10/18 Sofia, Bulgaria |
| Using Containers for Continuous Integration and Continuous Delivery
|
Paris Container Day |
2017/06/13 Paris, France |
| Docker for Testing |
Gira 2017 SSTQB |
2017/05/25 Coruña, Spain |
| Scaling Jenkins with Docker: Swarm, Kubernetes or Mesos? |
GPUL
Talks |
2017/04/20 Coruña, Spain |
| Divide and Conquer: Easier Continuous Delivery using
Micro-Services |
Agile
testing Days Asia |
2017/03/03 Bengaluru, India |
| Using Containers for Building and Testing: Docker, Kubernetes and Mesos |
FOSDEM |
2017/02/05 Brussels, Belgium |
| Testing Distributed Micro-Services |
Agile Testing Days |
2016/12/07 Potsdam, Germany |
| CI and CD at Scale: Scaling Jenkins with Docker and Apache Mesos |
ApacheCon Europe |
2016/11/18 Sevilla, Spain |
| From Monolith to Docker Distributed Applications |
DevOps Pro |
2016/11/15 Moscow, Russia |
| From Monolith to Docker Distributed Applications |
JavaOne |
2016/09/21 San Francisco, CA |
| Scaling Jenkins with Docker: Swarm, Kubernetes or Mesos? |
Jenkins World |
2016/09/15 Santa Clara, CA |
| Scaling Jenkins with Docker and Apache Mesos |
Boulder Jenkins/Docker Meetup |
2016/06/02 Boulder, CO |
| Scaling Jenkins with Docker and Apache Mesos |
MesosCon North America |
2016/06/01 Denver, CO |
| From Monolith to Docker Distributed Applications |
DevOps Pro |
2016/05/26 Vilnius, Lithuania |
| From Monolith to Docker Distributed Applications |
DevExperience Romania |
2016/03/25 Iasi, Romania |


My primary passion is writing. I love to write just about anything that inspires me. In time I developed a preference for the tech field, especially web development. Soon after that I also started to teach about writing and speak at conferences
I've been writing my entire life. Started with fiction, social issues but now settled on technology and web development
Most of my courses and videos are about copywriting and freelancing. Many viewers and students expressed their gratitude
Public speaking was a natural progression after writing and teaching. I attend a couple of technology focused events per year
I would love to use my skills to help your project. My expertise spans from copywriting and tech writing to teaching courses and public speaking
Based on my experience working with fast growing startups I can offer ideas for your business strategy
While trying to build my personal brand and sell my copywriting services I've learned a few marketing tricks
I can create marketing copy, sales literature even blog posts so don't hesitate to get in touch for a quote
You've built a software product and now you need to create your documentation? I am here to help with that
The easiest way to help someone learn how to use your product is with video tutorials. I can create them for you
I can speak at your conference about writing, teaching and how to create a successful business based on skills
Here are some of the projects I am most proud of. I am grateful for working with some amazing people from which I had the pleasure to learn a lot
Worked with the best
It's easy to get in touch with my main office and inquire anything about my writing, teaching and speaking services
Copyright © Your name


| Rescue Ranger
| Primary
|
- Being marked for death while carrying buildings doesn't matter much, since you'll only need to carry your dispenser a short distance thru your base.
- You can repair your buildings from a distance without putting yourself at risk.
|
| Short Circuit
| Secondary
|
- Improves defense against Demoman and Soldier, which is a better bonus than any other available secondary weapon.
- You get Support/Bonus when you destroy enemy projectiles.
|
| Eureka Effect
| Melee
|
- Idle animation doesn't make sound that other players can hear.
- Less construction rate boosting from wrench hits doesn't really matter, since the diff is only a few seconds. Engineers should help build the buildings of other engineers.
- Less metal from dispensers and pickups doesn't matter, because you will not be near your dispenser when repairing your sentry and you have easy access to resupply cabinets.
- You can quickly teleport back to your spawn or teleporter exit via a 2 second taunt by using the reload button.
- Your teleporters cost 50% less metal to build and upgrade.
|
| Dispenser
| 600 healing
|
- Deploy a level 3 dispenser in the lobby corner closest to the area below the grate.
- Second priority for construction and repair.
- You can repair your dispenser by shooting it with your Rescue Ranger from the courtyard.
- You should move your dispenser forward to inside the dual main entrance fork if you have multiple dispeners in the lobby corner or if your team has control of the bridge.
- Your dispenser will provide your team with ammo and healing at a fallback location and your team will protect your dispenser by preventing the enemy team from advancing.
|
| Sentry
|
|
- Deploy a level 3 sentry at the sweet spot facing towards the grate. Make sure you have to jump over it to get past it.
- First priority for construction and repair.
- Your sentry will cover the battlements entrance, the top floor grate room entrance, part of the courtyard, and both entrances to the intelligence.
- Your teammates will protect the sentry from enemies advancing via the courtyard as long as you keep your dispenser and teleporter deployed in the proper positions.
|
| Teleporters
| 2 teleports not by you
|
- Deploy a level 3 teleporter entrance at the corner of your primary resupply room entrance closest to the battlements.
- Deploy a level 3 teleporter exit in the center of the long back wall behind your dispenser. To prevent disorientation, make sure it is facing towards the direction players would go to leave via the main entrance.
- Don't build your teleporters too close to other teleporter entrances, for it may make their usage more difficult.
- Third priority for construction and repair.
- Other players using this teleport will learn about the dispenser they can run back to, and will be available to defend your dispenser by preventing the enemy team from advancing.
- You can repair both the teleporter entrance and exit by repairing either one. Repairing the exit by repairing the entrance can stall opposing players and cause them to expend additional ammo before retreating or moving on to attack the courtyard.
- You can use your teleporter to place down a freshly constructed level 3 dispenser if your dispenser gets destroyed.
|


About Us
Los Aztecas is a family-owned business. We as a family and a restaurant have an Aztec influence. Our home state in Mexico, Jalisco, is known for sombreros, rodeos, the Mexican Hat Dance, mariachi music, and is the birthplace of tequila. Where we come from it is common to own a Mexican restaurant.


Proficient with HTML, CSS, Javascript, jQuery. Worked with veriety of frameworks like Ionic, Angular, Backbone, Mustache and more Server side development using Nodejs and Python Flask Database connection using SQL and Mongo DB.
Conducted contextual interviews, developed persona , work model , usability testing. Practiced research methods like survey design, experiment design, hypothesis and statistical testing using R.
Practiced data cleaning Python and R. Worked on visualization and data presentation projects using, Adobe Illustrator, D3.js, Highcharts, Tableau.
#ContextualInterview #PersonaDevelopment #Prototyping #UserTesting
#Illustrator #D3 #Tableau #javascript #infographic #DataVisualization #dataAnalysis
#D3 #javascript #radarChart #parallelCoordinates
I’m currently a master’s student at UC Berkeley’s School of Information with a focus on user centric product design and development.
I did my undergrad in computer science engineering and worked for two years in Oracle Cloud Services as system admin for cloud architecture.
At Berkeley I am learning to look at technology from engineering as well as from a social and behavioural lens. I am exploring UI design and development, UX research, data analysis and visualization. I aim to combine my technical skills with knowledge of human centric design and decision making.


Carefull, OCR is not exact sience, depending on your font or specific image, there can always be errors, so plase check your text before you copy it.


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The CommandContext Class
Building the CommandContext with given options.
Options to build CommandContext
The CommandContext Class


| Award | This Track | All Time | |
|---|---|---|---|
| Golden Star
90-100% Correct |
8 | 10 | |
| Silver Star
80-90% Correct |
0 | 0 | |
| Bronze Star
70-80% Correct |
2 | 2 | |
| Phodium Star
60-70% Correct |
0 | 0 |


PEOPLE WILL TALK A film review by Edwin Jahiel Copyright 1996 Edwin Jahiel
PEOPLE WILL TALK (1951) Written and directed by Joseph L. Mankiewicz, from the play "Dr. Praetorius" by Curt Goetz. Produced by Darryl F. Zanuck. Photography, Milton Krasner. Editing, Barbara McLean. Art direction, Lyle Wheeler, George W. Davis. Set design, Thomas Little, Walter M. Scott. Music, Wagner and Brahms. Music direction, Alfred Newman. Cast: Cary Grant (Dr. Noah Praetorius), Jeanne Crain (Annabel Higgins), Finlay Currie (Shunderson) Hume Cronyn (Prof. Elwell), Walter Slezak (Prof. Barker), Sidney Blackmer (Arthur Higgins), Basil Ruysdael (Dean Lyman Brockwell), Katherine Locke (Miss James), Will Wright (John Higgins), Margaret Hamilton (Miss Pickett), et al. 110 minutes.
M.D. Cary Grant teaches at a University, also runs a clinic. He meets Jeanne Crain who is so desperate (because she is pregnant and unmarried) that she attempts suicide. Grant tricks her into thinking she is not pregnant--attributing this to a lab mix-up of tests--and marries her.
Parallel to this subject (rather than used as a subplot) is an investigation launched by mean-spirited, jealous colleague Hume Cronyn into the mysterious past of Grant and his strange companion Finlay Currie.
The film's pregnancy theme may be very dated these days, but it was quite progressive in its time. The University's investigation is a reflection of McCarthy-type witch-hunts. The title refers to gossip, intolerance and slander, but in addition everyone talks and talks and talks. Some of this talk is literate, some is Hollywood- heatrical.
The movie has a great deal of charm and color, makes good use of music, is pleasant to watch. It is also full of improbabilities and loose ends, along with a strong dose of corn. Implausibilities include Crain's instant love of Grant; Crain's suicide attempt, as neither her having a gun nor using it right outside Grant's office make sense; the odd story of Grant's past...
The entire tete-a-tete part where Grant proposes to Crain is ho-hum, if not ho-ho-ho-hum-hum-hum; the sequence of playing with toy trains is exaggerated in its effort to be humorous. In general, whimsy in this movie is on the heavy side. There are other flaws.
The characters don't really satisfy, even though most are played by consumate character actors. Many of the thespians are overdrawn and overdone. Attractive Jeanne Crain is, as usual (with exceptions, notably in "Pinky") too cold an actress; Sidney Blackmer, as Crain's father, is too smug in his admission he has been a failure in life; Cronyn is much too evil. Even Grant is too idealized, too smart, self -possessed, angelic and multi-talented.
On the other hand, bass-playing physicist Walter Slezak is charming and convincing as Grant's friend, and Finlay Currie is memorable. Currie, an accomplished Scots musician who only entered movies in his early 40s, had made a strong impression as the convict in the 1946 "Great Expectations." His role here is unusual by any standards. Shunderson is an older, big, silent man, possessed of what looks like Scottish dourness (but isn't), and with unclear functions.    The Shunderson-Praetorius rapport is interesting and touching enough to justify the whole film.
I must admit that the movie's weaknesses may become apparent only after repeated viewings. Seen once (perhaps even a second time), PEOPLE papers over the holes, thanks to brio, warmth and originality. And, even for those whose logic does not allow them to suspend disbelief, this movie still ranks as good, enjoyable and recommended. After all, it is a J.L.Mankiewicz product. (Edwin Jahiel)
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
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Related links: index of all rec.arts.movies.reviews reviews


Can React Native compare and compete with true native code?
Why Write this Article? Great question, I’m glad you asked! First, let me say that this is NOT going to be a benchmarking article to compare numbers and load times or anything like that. This article is going to be a look into whether a developer who currently works using native code for either or both mobile platforms should consider React Native. I am writing this article because that is the position I find myself in currently.


Global Consultation on Open Science
The survey is designed to collect inputs for the development of the UNESCO Recommendation on Open Science.This survey forms part of a broader process of input gathering that includes online consultations, regional and thematic meetings and numerous debates on implications, benefits and challenges of Open Science across the globe.


California attorney general says he has been investigating Facebook's privacy practices since 2018
by EndPlayNEW YORK - NEW YORK (AP) - California attorney general says he has been investigating Facebook's privacy practices since 2018 .
NEW YORK - NEW YORK (AP) - California attorney general says he has been investigating Facebook's privacy practices since 2018 .


{% extends 'base.html' %} {% import 'macros.html' as macro%} {% block content %} {% for alert in get_flashed_messages() %}
Sport is about a range of specific activities which involves competition and requires physical conditioning and skills. A good way to define it would be to say, "It is a structured physical activity, usually competitive, that requires complex skills and a high level of individual commitment and motivation".The best short articles and essays about sports Interesting sport articles and sports essays by famous authors
My experience for Highlighting some of my favorite travel blogs that can help you travel better informative and inspirational features, destination roundups, travel ideas, tips and beautiful photos in order to help you plan your next holiday .
Exercising regularly, every day if possible, is the single most important thing you can do for your health. In the short term, exercise helps to control appetite, boost mood, and improve sleep. In the long term, it reduces the risk of heart disease, stroke, diabetes, dementia, depression, and many cancers. The Centers for Disease Control and Prevention for Fitness enthusiasts like you and me need the help of experts to stay focused and motivated.
Fashion is a popular aesthetic expression at a certain time and in a certain context, especially in clothing, footwear, lifestyle, accessories, makeup, hairstyle and body proportions.[1] Whereas a trend often connotes a very specific aesthetic expression, and often lasting shorter than a season, fashion is a distinctive and industry-supported expression traditionally tied to the fashion season and collections
Find out everything there is to know about food and stay updated on the latest health news with the comprehensive articles and interactive features focused on the food you eat. Food Blog that shares recipes and cooking videos from all over the world with focus on using ingredients readily available.
It refers to achieving and exercising positions of governance—organized control over a human community, particularly a state.The academic study focusing on just politics, which is therefore more targeted than general political science, is sometimes referred to as politology (not to be confused with politicology, a synonym for political science Check out this articles for the best and juiciest political blogs on the web


{% extends "preview.html" %} {% block title %}Getting Started {{ block.super }}{% endblock %} {% block content %}
Flakes is intended to be used for business facing web applications. If you're building an internal tool to help your sales team manage leads or are building an inventory tracking solution for your watch business, you'll need Flakes.
Flakes is a starting point, It helps you get a quick start. It is not a collection of everything you'll ever need and it doesn't aim to become one.
Flakes is a collection of components. These components follow the Flakes aesthetic and go well together. Since these components are low level abstractions like forms and grids, you really can build almost anything you'll need.
I've built a few example layouts for you play around with. Check out the example layouts using the navigation to your left to get a feel for what is possible.
Until now, Flakes has been a one man show with me designing and developing for it. When you work on something for long enough, you'll run out of ideas on how to improve it. If you are keen on contributing I'd love to have you make a pull request with your change. If it's a sufficiently big change, I'd recommend filing an issue on Github to discuss the change to avoid duplicate or unnecessary work.
If you need help with something the documentation does not cover, send me an email and I'd be happy to help you<EMAIL_ADDRESS>Please report all bugs on the Github issues page. If you have some time, I'd appreciate it a whole lot more if you could make a pull request with a fix.
{% endblock %}


Research Associate/Doctoral Candidate, MIT Department of Ocean Engineering.
Research Interests
€ Sensor data fusion in marine robotic systems
€ Navigation and control
of autonomous underwater vehicles (AUVs)
€ Integration of remote sensing
systems with in-situ observation platforms.
€ Distributed,
physically-based, interactive ocean simulation
Thesis Title
€ Prof. John J.
Leonard
€ Prof.
Henrik Schmidt
€ Prof.
Michael S. Triantafyllou
Publications
(1) Sclater, J. G., L. Meinke, A. Bennett, C. Murphy, "The Depth of the Ocean
Through the Neocene," CENOP publication, March 1984.
(2) Bennett, A.,
"Combining Planning With Reactive Architectures in an Autonomous Underwater
Vehicle," UUST Conference Proceedings, October 1993.
(3) Bennett, A.,
Leonard, J.J., Bellingham, J.G., "Bottom Following for Survey Class Autonomous
Underwater Vehicles," UUST Conference Proceedings, September 1995.
(4) Bennett, A.,
Leonard, J.J., "Autonomous Mapping With an AUV: An Approach for Ground Truthing
of Remote Sensing Data," Oceans '96 Conference Proceedings, September 1996.
Contact Information
MIT Dept. of Ocean Engineering
77 Mass Ave., Room 5-424
Cambridge,
Massachusetts 02139
Telephone:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Email:
abennett@mit.edu


The CdTabsComponent component is organized under several sub-components and interfaces:
CdTabsComponent
component is the entry point of the tabs definition.| selectMode | |
| Description |
String : set-up the select mode of tabs:
|
| displayMode | |
| Description |
String : set-up the display mode of tabs:
|
| disposition | |
| Description |
String : set-up the disposition of tabs:
|
| select | |
| Description | Select a tab by the index number in list, or tab id or CdTabButtonComponent reference. |
| Signature |
select(tab: number | string | CdTabButtonComponent) => Promise<boolean>
|
| getSelected | |
| Description | Get the currently selected tab. |
| Signature |
getSelected() => Promise<CdTabInterface | null>
|
| getTab | |
| Description | Get a specific tab by the reference index number of its tab property, the tab id or the CdTabButtonComponent. |
| Signature |
getTab(tab: number | string | CdTabButtonComponent) => Promise<CdTabInterface | null>
|
| tabChanged |
Emitted when the tab has changed (from routing or component). Emit the |
| tabContentChanged |
Emitted when the tab content has changed. Emit the |
CdTabBarComponent
component allow you to define and structure all tab buttons for your implementation.| color | |
| Description |
You can define CSS variables for standalone integration. |
| --cd-color | Color of the tab button font. |
| --cd-color-selected | Color of the tab button font when the tab is selected. |
| --cd-color-hover | Color of the tab button font when the mouse over the tab. |
| --cd-background | Color of the background tab button and bar. |
| --cd-background-selected | Color of the background tab button when the tab is selected. |
| --cd-background-hover | Color of the background tab button when the mouse over the tab. |
CdTabButtonComponent
component allow you to define the button of tabs for your implementation.| iconPosition | |
| Description |
|
| ripple | |
| Description |
|
| routerLink | |
| Description |
Array<String> : Define the link to activate by Angular Router.
|
| selected | |
| Description |
Boolean : activate (true ) the tab at start-up if the parameter selectMode is set to config .
|
| tab | |
| Description | String : define the tab id to activate when clicked. |
CdTabContentComponent
component allow you to define the content of tabs for your implementation.| id | |
| Description | String : define the tab id linked to tab property of CdTabButtonComponent. |
CdTabInterface
is the interface used for interaction with CdTabsComponent.| num | Number : the tab index in list. |
| tabId | String : the tab id. |
| tabButton | CdTabButtonComponent : the tab button. |
| tabContent | CdTabContentComponent : the tab content. |


Mozilla’s Global Sprint is a fun, fast-paced and two-day collaborative event to hack and build projects for a healthy Internet. A diverse network of scientists, educators, artists, engineers and others come together in person and online to innovate in the open.
For Participants
Protect and build the open Web
Everyone is welcome, from students and librarians to coders, designers, researchers, community organizers -- and you!
Join us!
For Project Leads
Bring your project to the Sprint
Supercharge your open project with amazing contributions from around the Mozilla Network.
Register Your Project
For Site Hosts
Collaborate and create in person
Unite local projects with global contributors for a fun event. Work, teach and learn together to grow your projects and your local open web community.
Host a Site!


Unscramble the words into a sentence. Put words you don't need in the extras bin.
Word Bank:
yellow
is
The
sun
calm
Sentence:
Extras:
Submit


Login
Register
explore
the space
Travel around the cosmos
News
Facts
Technology
Cosmos
Indian Space Research organization
Read more
Does not support landscape mode please rotate to portrait!


Getting Started
The Census is a big subject and there's a lot to learn, but you don't have to learn it all at once.
Here's some help knowing the lay of the land.
Here's some help knowing the lay of the land.
What is the Census?
-
The Census isn't one thing. The U.S. Census Bureau has a number of data collection programs and even more data products based on them. Census Reporter focuses on just one of them, the American Community Survey, or ACS. Our About the Census page gets into the basics you should know about the other Census products.
OK then, what's in the ACS?
+
The ACS covers a good variety of general-interest topics about the US: not only basic demographics like age, sex, and race, but also a number of economic and social questions, and details about the actual homes where people live, like how many rooms are in a housing unit and how many units are in the building. Our guide to the structure of table codes includes a list of the main subject areas.
When is the ACS updated?
+
Every fall the Census Bureau releases new ACS estimates in three forms. The different releases are based on data collected over different periods of time. Collecting data over longer periods of time helps to reduce the margin of error for places with a smaller population.
The releases are staggered, with the 1-year release delivered first, usually in September, followed by the 3-year release, and finally, the 5-year release is usually delivered in early December.
Census Reporter always shows you the data for the release appropriate to the places you're looking at, so you generally don't have to worry about it too much. However, technically you shouldn't directly compare data from different releases, so be careful if you are gathering estimates from different profile pages.
The releases are staggered, with the 1-year release delivered first, usually in September, followed by the 3-year release, and finally, the 5-year release is usually delivered in early December.
Census Reporter always shows you the data for the release appropriate to the places you're looking at, so you generally don't have to worry about it too much. However, technically you shouldn't directly compare data from different releases, so be careful if you are gathering estimates from different profile pages.


In vitro cytotoxicity of amantadine, ribavirin and pleconaril in HCT8 WT/RETO cells. Cytotoxicity was measured over 24 hours by MTT assay. Amantadine and pleconaril show a specific activity in the highly chemotherapy-resistant subline. Values represent the means ± standard deviation of at least n = 3 independent experiments


--- layout: post title: Oriflame Very Me Lipmania - Flirty Pink tags: - Oriflame status: publish type: post published: true meta: _edit_last: '2' _graphene_slider_img: global _graphene_slider_imgurl: '' _graphene_show_addthis: global wp_plus_one_redirect: '' al2fb_facebook_image_id: '2087' _aioseop_keywords: Oriflame Very Me Lipmania - Flirty Pink _aioseop_title: Oriflame Very Me Lipmania - Flirty Pink al2fb_facebook_link_id: '218440691518395_321653964530400' al2fb_facebook_link_time: '2011-12-11T09:45:55+00:00' al2fb_facebook_link_picture: meta=http://missenchanted.com/wp-content/uploads/2011/12/IMG_2389-150x150.jpg _yoast_wpseo_linkdex: '0' _thumbnail_id: '2087' --- I picked up this cute little package from the last month's Oriflame brochure on offer :), but I had a different expectation from this :( Oriflame says: Go head over heels for colour! This must-have lipstick comes in ten intense shades that give your lips sheer, high-gloss coverage. Specially designed packaging for every facet of you! 4 g. Price: Rs. 169(appx), I picked it up for Rs.129 in an offer :Cool: Color options:


code
Quiz
Game
About
High Scores
High Scores
User
Score
codeQuiz
Page design by
Jonathan Andrews
Background effects by
Louis Hoebregts
Close


--- layout: page title: About Me description: This is what I do. background: '/img/bg-about.jpg' ---
My name is Sagiv Barhoom I work, live and breathe information systems. Extensive parts of my field of work is in the gray area between project management, infrastructure, and programming.
During my years of work, I managed and maintained, among other things, websites and call centers for the organization in which I work. I have been engaged in data analytics and ETL. For the past year I have been leading our great DBA team that includes Oracle and SQLserver DBAs and Oracle infrastructure.
I enjoy writing code when I can, in the past I wrote in Perl - nowadays I mostly write code in Python. In my spare time, I also work as a research assistant in the field of computational chemistry with Prof. Inbal Tuvi


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TeamDrive can be co-branded and customized for our partners.
Overview: TeamDrive can be co-branded with your graphic and service information. This personalizes TeamDrive and makes it easy for your users, because they only need to enter their username and password to connect.
Co-Branding Features
- Your branding graphic appears at the top to personalize TeamDrive
- Your service name and setup information is hard-coded
- Users just need to enter their username and password and select Connect
- If users don't have an account yet, they can select Signup to be taken to your signup page
- No other services can be accessed
- Your service entry cannot be deleted
- Your service entry can be duplicated in case the user has more than one account
Information Needed For Co-Branding
- The name of your service
- The type of server: FTP, WebDAV, HTTP, proprietary
- The URL of your server
- The URL of a 468x60 GIF file to use as the branding graphic
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I've published two books of fiction, Blood and Milk (Sarabande, 1996)
and Bloody Mary (Sarabande, 2003).
I'm offering a writing workshop in Greece this summer, for 1 or 2 wks July 8-25. It's very inexpensive, includes room and board in a tiny town called Kissos on the Aegean coast. Write in the morning, beach in the afternoon... for more info look upKalikalos.org.


{% extends "base.html" %} {% block body %}
We are sorry but worklogger does not accept registration at this moment.
Please try again in near future to see if are accepting new users.


Dear Friend, TREAT WITH UTMOST SECRECY AND CONFIDENTIALITY My name is John Bruno; I worked in a bank here in the United Kingdom. I am contactingyou of a business transaction, of a huge sum of money from A deceased client of mine.Though I know that a transaction of this magnitude Will make any one apprehensive and worried, butI am assuring you that everything has been taken care off, and all will be well at the end Of the day. I decided to contact you due to the urgency of thistransaction. FACT: I was the account officer of a foreigner named Gerald Welsh who died in an air crash along with his wife on The 31st October 1999 in an Egyptian airline 990 with Otherpassengers on board. You can confirm this from The website below which was published by CNN.WEBSITE.http://news.bbc.co.uk/1/world/americas/502503.stm since his death,none of his next-of-kin are alive to Make claims for this monies as his heir, because they all died in the same accident himself and his wife (May Their soul rest in peace). We could not release the funds from his account unless someone applied for claim as The next-of- kin to the deceased .At that period he had $14,210,045m(fourteen Million two hundred and ten thousand dollars) in his account. After four to five years the money was called back to the bank treasury as unclaimed bills and the money shared amongst the directors of the bank, which has already been done by the directors mid last year. PROPOSITION; Due to the relationship between i and the deceased (Gerald Welsh) he told me of a diamond business which he had to do and left me in care of the” CERTIFICATE OF DEPOSIT” which he used to lodge the funds in a security company in Europe which is to the tune of $8.4m(eight million Four hundred thousand dollars). Note: that I decided to seek for whom his/her name shallbe used as the next of kin/beneficiary to claim the funds at the security company rather than allow the funds to lay unclaimed. It may interest you to know that i have secured from the probate an order of mandamus to locate any of the deceased beneficiaries again and no one was found. Please acknowledge receipt of this message in acceptance of our mutual business endeavor by furnishing me with the following information if you are interested. 1.Full name in order for me to prepare the Document in your name. 2. Direct Telephone and fax numbers for our personal Contact and Mutual trust in each other. I shall be compensating you with 20% percent of the Whole funds on final conclusionof this project for your assistance, while the balance shall be for me for investment Purposes. Because I just retired. If this proposal is Acceptable by you, please endeavor to contact me immediately. Do not take undue advantage of the trust I have bestowed in you. I await your urgent mail. Regards, John Bruno.


I saw this quote on a message board in someone's signature and thought it was just hilarious:
"In order to understand recursion, one must first understand recursion."
I can't seem to find who originally said it.
--- layout: post title: "Recursion Quote" date: 2008-09-03T15:29:00-06:00 categories: - Recursion - Quote - Humor ---
I saw this quote on a message board in someone's signature and thought it was just hilarious:
"In order to understand recursion, one must first understand recursion."
I can't seem to find who originally said it.


Felix A Krüger
Welcome to my homepage! I am a PhD student at the European Bioinformatics Institute (EMBL-EBI) and graduate member of Fitzwilliam College at the University of Cambridge.
My project is set within the ChEMBL group with John Overington as my thesis advisor. ChEMBL is an open source data base providing bioactivity data for small, drug-like molecules. We also keep a group blog to which I occasionally contribute posts about newly approved drugs.
For my research, I am interested in small molecules that can be used as chemical probes in the life sciences. I am integrating data from ChEMBL and other relevant sources to infer properties of such compounds and to map the target space in reach of current chemical probes. Please feel free to contact me if you have a request or ideas for a collaboration on chemical probes.


Configure logging drivers
Estimated reading time: 7 minutesDocker includes multiple logging mechanisms to help you get information from running containers and services. These mechanisms are called logging drivers.
Each Docker daemon has a default logging driver, which each container uses unless you configure it to use a different logging driver.
In addition to using the logging drivers included with Docker, you can also implement and use logging driver plugins.
Configure the default logging driver
To configure the Docker daemon to default to a specific logging driver, set the
value of log-driver
to the name of the logging driver in the daemon.json
file, which is located in /etc/docker/
on Linux hosts or
C:\ProgramData\docker\config\
on Windows server hosts. The default logging
driver is json-file
. The following example explicitly sets the default
logging driver to syslog
:
{
"log-driver": "syslog"
}
If the logging driver has configurable options, you can set them in the
daemon.json
file as a JSON object with the key log-opts
. The following
example sets two configurable options on the json-file
logging driver:
{
"log-driver": "json-file",
"log-opts": {
"max-size": "10m",
"max-file": "3",
"labels": "production_status",
"env": "os,customer"
}
}
Note:
log-opts
configuration options in thedaemon.json
configuration file must be provided as strings. Boolean and numeric values (such as the value formax-file
in the example above) must therefore be enclosed in quotes ("
).
If you do not specify a logging driver, the default is json-file
. Thus,
the default output for commands such as docker inspect <CONTAINER>
is JSON.
To find the current default logging driver for the Docker daemon, run
docker info
and search for Logging Driver
. You can use the following
command on Linux, macOS, or PowerShell on Windows:
$ docker info --format '{{.LoggingDriver}}'
json-file
Configure the logging driver for a container
When you start a container, you can configure it to use a different logging
driver than the Docker daemon’s default, using the --log-driver
flag. If the
logging driver has configurable options, you can set them using one or more
instances of the --log-opt <NAME>=<VALUE>
flag. Even if the container uses the
default logging driver, it can use different configurable options.
The following example starts an Alpine container with the none
logging driver.
$ docker run -it --log-driver none alpine ash
To find the current logging driver for a running container, if the daemon
is using the json-file
logging driver, run the following docker inspect
command, substituting the container name or ID for <CONTAINER>
:
$ docker inspect -f '{{.HostConfig.LogConfig.Type}}' <CONTAINER>
json-file
Configure the delivery mode of log messages from container to log driver
Docker provides two modes for delivering messages from the container to the log driver:
- (default) direct, blocking delivery from container to driver
- non-blocking delivery that stores log messages in an intermediate per-container ring buffer for consumption by driver
The non-blocking
message delivery mode prevents applications from blocking due to logging back pressure. Applications are likely to fail in unexpected ways when STDERR or STDOUT streams block.
WARNING: When the buffer is full and a new message is enqueued, the oldest message in memory is dropped. Dropping messages is often preferred to blocking the log-writing process of an application.
The mode
log option controls whether to use the blocking
(default) or non-blocking
message delivery.
The max-buffer-size
log option controls the size of the ring buffer used for intermediate message storage when mode
is set to non-blocking
. max-buffer-size
defaults to 1 megabyte.
The following example starts an Alpine container with log output in non-blocking mode and a 4 megabyte buffer:
$ docker run -it --log-opt mode=non-blocking --log-opt max-buffer-size=4m alpine ping <IP_ADDRESS>
Use environment variables or labels with logging drivers
Some logging drivers add the value of a container’s --env|-e
or --label
flags to the container’s logs. This example starts a container using the Docker
daemon’s default logging driver (let’s assume json-file
) but sets the
environment variable os=ubuntu
.
$ docker run -dit --label production_status=testing -e os=ubuntu alpine sh
If the logging driver supports it, this adds additional fields to the logging
output. The following output is generated by the json-file
logging driver:
"attrs":{"production_status":"testing","os":"ubuntu"}
Supported logging drivers
The following logging drivers are supported. See the link to each driver’s documentation for its configurable options, if applicable. If you are using logging driver plugins, you may see more options.
| Driver | Description |
|---|---|
none |
No logs are available for the container and docker logs does not return any output. |
local |
Logs are stored in a custom format designed for minimal overhead. |
json-file |
The logs are formatted as JSON. The default logging driver for Docker. |
syslog |
Writes logging messages to the syslog facility. The syslog daemon must be running on the host machine. |
journald |
Writes log messages to journald . The journald daemon must be running on the host machine. |
gelf |
Writes log messages to a Graylog Extended Log Format (GELF) endpoint such as Graylog or Logstash. |
fluentd |
Writes log messages to fluentd (forward input). The fluentd daemon must be running on the host machine. |
awslogs |
Writes log messages to Amazon CloudWatch Logs. |
splunk |
Writes log messages to splunk using the HTTP Event Collector. |
etwlogs |
Writes log messages as Event Tracing for Windows (ETW) events. Only available on Windows platforms. |
gcplogs |
Writes log messages to Google Cloud Platform (GCP) Logging. |
logentries |
Writes log messages to Rapid7 Logentries. |
Limitations of logging drivers
-
Users of Docker Enterprise can make use of “dual logging”, which enables you to use the
docker logs
command for any logging driver. Refer to Reading logs when using remote logging drivers for information about usingdocker logs
to read container logs locally for many third party logging solutions, including:- syslog
- gelf
- fluentd
- awslogs
- splunk
- etwlogs
- gcplogs
- Logentries
-
When using Docker Community Engine, the
docker logs
command is only available on the following drivers:local
json-file
journald
- Reading log information requires decompressing rotated log files, which causes a temporary increase in disk usage (until the log entries from the rotated files are read) and an increased CPU usage while decompressing.
- The capacity of the host storage where docker’s data directory resides determines the maximum size of the log file information.


STARTING AT
$22,495*
Fuel Efficiency
L/100KM*
8.5/7.1
(city/Hwy)
ENGINE
1.4L MultiAir
16V I-4 Turbo
HORSEPOWER
135 hp*
Standard key Features
BUILD & PRICE
*Legal Disclaimer
STARTING AT
$22,495*
Fuel Efficiency
L/100KM*
8.5/7.1
(city/Hwy)
ENGINE
1.4L MultiAir
16V I-4 Turbo
HORSEPOWER
135 hp*
Standard key Features
BUILD & PRICE
*Legal Disclaimer
STARTING AT
$22,495*
Fuel Efficiency
L/100KM*
8.5/7.1
(city/Hwy)
ENGINE
1.4L MultiAir
16V I-4 Turbo
HORSEPOWER
135 hp*
Standard key Features
BUILD & PRICE
*Legal Disclaimer


Millets are extremely defiant to pest attacks. This is the quality of millets that comes in very handy when planning a mixed crop farm cultivated using non pesticide management techniques. A few rows of millets separating rows of more susceptible leguminous crops is a common practice in farms in different parts of the world.


Class GameplayAbilityTags
Inheritance
System.Object
GameplayAbilityTags
Assembly: Assembly-CSharp-firstpass.dll
public class GameplayAbilityTags : object, IAbilityTags
Fields
|
Improve this Doc
View Source
Declaration
protected List<GameplayTag> _abilityTags
Field Value
|
Improve this Doc
View Source
Declaration
protected List<GameplayTag> _activationBlockedTags
Field Value
|
Improve this Doc
View Source
Tags to apply to activating owner while this ability is active
Declaration
protected List<GameplayTag> _activationOwnedTags
Field Value
|
Improve this Doc
View Source
Declaration
protected List<GameplayTag> _activationRequiredTags
Field Value
|
Improve this Doc
View Source
Declaration
protected List<GameplayTag> _blockAbilitiesWithTags
Field Value
|
Improve this Doc
View Source
Declaration
protected List<GameplayTag> _cancelAbilitiesWithTags
Field Value
|
Improve this Doc
View Source
Declaration
protected List<GameplayTag> _sourceBlockedTags
Field Value
|
Improve this Doc
View Source
Declaration
protected List<GameplayTag> _sourceRequiredTags
Field Value
|
Improve this Doc
View Source
Declaration
protected List<GameplayTag> _targetBlockedTags
Field Value
|
Improve this Doc
View Source
Declaration
protected List<GameplayTag> _targetRequiredTags
Field Value
Properties
|
Improve this Doc
View Source
Any additional tags that the ability has
Declaration
public List<GameplayTag> AbilityTags { get; }
Property Value
|
Improve this Doc
View Source
Ability is blocked if activating object has any of these tags
Declaration
public List<GameplayTag> ActivationBlockedTags { get; }
Property Value
|
Improve this Doc
View Source
Tags to apply to activating owner while this ability is active
Declaration
public List<GameplayTag> ActivationOwnedTags { get; }
Property Value
|
Improve this Doc
View Source
Ability can only be activated if the activating object has all of these tags
Declaration
public List<GameplayTag> ActivationRequiredTags { get; }
Property Value
|
Improve this Doc
View Source
Abilities with these tags are blocked
Declaration
public List<GameplayTag> BlockAbilitiesWithTags { get; }
Property Value
|
Improve this Doc
View Source
Abilities with these tags are cancelled
Declaration
public List<GameplayTag> CancelAbilitiesWithTags { get; }
Property Value
|
Improve this Doc
View Source
Ability is blocked if source object has any of these tags
Declaration
public List<GameplayTag> SourceBlockedTags { get; }
Property Value
|
Improve this Doc
View Source
Ability can only be activated if source object has all of these tags
Declaration
public List<GameplayTag> SourceRequiredTags { get; }
Property Value
|
Improve this Doc
View Source
Ability is blocked if target object has any of these tags
Declaration
public List<GameplayTag> TargetBlockedTags { get; }
Property Value
|
Improve this Doc
View Source
Ability can only be activated if target object has all of these tags
Declaration
public List<GameplayTag> TargetRequiredTags { get; }
Property Value
Implements


The Holy Trinity.
John 1:1-3
1 In the beginning was the Word, and the Word was with God, and the Word was God.
2 The same was in the beginning with God.
3All things were made by him; and without him was not any thing made that was made.
1 John 5:7
7 For there are three that bear record in heaven, the Father, the Word, and the Holy Ghost: and these three are one.
We believers need to act Christ-like in everything that we do.
1 Peter 1:15-16
15 but as he which hath called you is holy, so be ye holy in all manner of conversation;
16 because it is written, Be ye holy; for I am holy.


Home is where the heart is..
Most of the important information could be put here.
Active and effective skin resurfacing solutions for the treatment of typical signs of ageing like photo-ageing, pigment changes, dull sallow appearance, superficial and medium expression lines.
The pHformula A.G.E. solutions were specifically formulated as advanced anti-ageing skin resurfacing treatments to help correct typical signs of ageing.
For best results and to reduce the risk of complications, it is recommended that patients should use the correct pHformula topical prescription products 2 to 3 weeks prior to the treatment.
Patients should use the pHformula E.X.F.O. cleanse for soothing post treatment cleansing and exfoliation.
Patients should use the prescribed pHformula recovery treatment to enhance overall results and to assist with the post-treatment healing processes.
The use of the pHformula U.V. protect SPF 30+ or SPF 50+ is essential to protect the skin from UV radiation. Please note that it is recommended that extended sun exposure must be avoided, especially in the 10 days prior to the treatment.
The unique pHformula powerclay formula used in the M.E.L.A. resurfacing treatments is a powerful hyperpigmentation treatment designed to reduce the accumulation of epidermally located melanin. It effectively inhibits the enzymatic activity of tyrosinase, whilst stimulating epidermal differentiation and therefore accelerates epidermal cellular turnover causing the removal of already formed melanin pigment. Due to the innovative highly effective mode of action, significant visible results are obtained with minimal risk.
For best results and to reduce the risk of complications, it is recommended that patients use the correct pHformula topical prescription products 2 – 3 weeks prior to the treatment.
Patients should use the pHformula E.X.F.O. cleanse for soothing post treatment cleansing and exfoliation.
Patients should use the prescribed pHformula recovery treatment to enhance overall results and to assist with the post-treatment healing processes.
The use of the pHformula U.V. protect SPF 30+ is essential to protect the skin from UV radiation. Please note that it is recommended that extended sun exposure must be avoided, especially in the 10 days prior to the treatment.
The unique combination of actives in the pHformula A.C. solutions were specifically formulated to correct the main acneic manifestations such as comedones, papules and pustules. It was designed to act on the 4 factors that trigger acne.
For best results and to reduce the risk of complications, it is recommended that patients should use the correct pHformula topical prescription products 2 – 3 weeks prior to the treatment.
Patients should use the pHformula E.X.F.O. cleanse for soothing post treatment cleansing and exfoliation.
Patients should use the prescribed pHformula recovery treatment to enhance overall results and to assist with the post-treatment healing processes.
The use of the pHformula U.V. protect SPF 30+ o SPF 50+ is essential to protect the skin from UV radiation. Please note that it is recommended that extended sun exposure must be avoided, especially in the 10 days prior to the treatment.
An active and effective complex for complete restoration, chronic redness and rosacea prone skin. Specifically formulated with anti-microbial activity to help reduce redness and prevent relapses.
For best results and to reduce the risk of complications, it is recommended that patients should use the correct pHformula topical prescription products 2 – 3 weeks prior to the treatment.
Patients should use the pHformula E.X.F.O. cleanse for soothing post treatment cleansing and exfoliation.
Patients should use the prescribed pHformula recovery treatment to enhance overall results and to assist with the post-treatment healing processes.
The use of the pHformula U.V. protect SPF 30+ or SPF 50+ is essential to protect the skin from UV radiation. Please note that it is recommended that extended sun exposure must be avoided, especially in the 10 days prior to the treatment.
Maximum Vitamin C concentration levels are achieved in a highly absorbable medium. An advanced system which addresses early signs of cutaneous damage.
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Sorry, Kate. But, your mug should go here.
Everyone likes a background story!


RED PLANET A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): * 1/2
Is there life on Mars? Even after the inert actors in Antony Hoffman's RED PLANET make their journey there, the count of life forms still appears to be about zip. With an arid landscape that is the spitting image of Utah, the tedious movie is about as much fun as a long stroll through a hot Utah desert without benefit of water.
The near-comatose cast is led by Carrie-Anne Moss (THE MATRIX) as Commander Kate Bowman. In one of the blandest narrations on record, she explains the setup to us. It seems that Earth's resources have been depleted by bad ecological choices, so the planet's inhabitants have decided to colonize Mars. In order to prepare our promised land, we have blanketed Mars with algae. This has been working for twenty years, but suddenly the algae have started to disappear. Commander Bowman is leading the first manned mission to Mars in order to find out what happened to the algae. Yes, RED PLANET is about lost algae. If you think that AWOL algae doesn't sound like a hot recipe for a picture, you'd be right.
Along on the expedition with the commander are Robby Gallagher (Val Kilmer), Dr. Quinn Burchenal (Tom Sizemore), Ted Santen (Benjamin Bratt), Chip Pettengill (Simon Baker) and Dr. Bud Chantillas (Terence Stamp). In a dead-end subplot, Dr. Chantillas is a scientist turned philosopher who spends his time looking for God. Exactly why he was chosen to join them is a mystery not worth solving.
The good news about the cast is that Val Kilmer avoids his usual proclivity for overacting with a vengeance. The bad news is that he phones in his part without one scintilla of emotion. Actually, the whole cast seems affected by the lighter Martian gravity which appears to make time slow down and brains go into idle loops.
In order to jazz up this PG-13-rated science fiction tale, writers Jonathan Lemkin and Channing Gibson have the commander parade naked and wear tight see-through tops. Moss demonstrates as much sexuality in her nude scenes as she does fear when disaster strikes, which is to say, none at all. After standing nude in front of Gallagher and telling him to think of her as his sister, she orders him to get busy.  she requests. "Yes, sir, uh, ma'am!" he shoots back.
About the only satisfactory moment in RED PLANET comes when the commander's computer decides to get sarcastic with her. "That's not good," the commander remarks when something unexpected happens. "No, it isn't," the computer replies wittily.
Usually, one wants to see science fiction movies on the big screen in order to appreciate the impressive images. In RED PLANET, Peter Suschitzky's dark and dull cinematography gives you little reason not to wait for video. And if you do wait, you would be better off renting MISSION TO MARS, which is a superior movie.  Burchenal asks Gallagher at one point. You'll be hoping, against hope, that he says "yes," so that this miserable mission can draw to a quick close.
RED PLANET runs 1:47. It is rated PG-13 for sci-fi violence, brief nudity and language and would be acceptable for kids around 12 and up.
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[gecode-users] Channel Constraints
Daniel Araya
daniel.araya at gmail.com
Fri May 20 21:59:50 CEST 2011
On Fri, May 20, 2011 at 1:34 AM, Mikael Zayenz Lagerkvist
<zayenz at gmail.com>wrote:
> 2011/5/20 Daniel Araya <daniel.araya at gmail.com>:
> > I'm using Gecode/J for make some tests
>
> First of all, Gecode/J has been discontinued for quite some time now.
> There are a lot of bugs and it is very slow compared to other methods
> of running Gecode. In other words, it shouldn't be used anymore.
>
> If your need is to integrate Gecode into a Java project, it is much
> better to write the model in C++, and to write a small and simple
> JNI-function that takes any parameters needed and instantiates and
> runs the model.
>
Thanks Mikael for the update. I use Gecode/J only for test...
But, this restriction is "more easy" to implement in Gecode C++?
> > and I have to make channel constraint related to:
> >
> > If X_i=j then Y_i_j=1
> >
> > but the documentation says:
> >
> > "Throws an exception of type Int.ArgumentSizeMismatch, if x and y are of
> > different size."
> >
> > There is some additional approach to address these kinds of restrictions?
>
> If that is the constraint you want, then the restriction is strictly
> necessary. If x and y are of different sizes, then the constraint
> would be trivially violated, and represents an error in constructing
> the model.
>
I'm not sure about the posibility for make this restriction without reified
constraint, do you
have any ideas? Exit any example in Gecode C++?
Thanks. BR,
--
Daniel
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About a month and a half ago I was prescribed 20mg paxil (paroxetine) daily for treatment of a general anxiety disorder. As a believer in the medicine I have, for the most of the period, avoided all drugs. Until last Friday.
I've been invited by a DJ friend to go to a progressive house party he was organizing. The party took place in a complex called Metelkova City, a former military barracks but now a squat occupied by a group of idealists, artists & club owners.
My primary decision was to stick to alcohol, because, due to the information I've gathered, taking MDMA would be a waste of money & drugs, all this due to the fact that SSRIs are supposed to block the empathogenic effects of this drug. But as the evening passed and I got more & more drunk (drinking mostly Finlandia + orange juice), my self-control begun to fail and I took half a pill. Surprisingly I noticed a slight, but distinct feeling pretty quickly, so without much thought I stopped drinking and acquired three more pills.
Results were pretty much typical MDMA high resulting in a pretty entertaining evening, although I suffered from a few black outs and some happenings acquired a certain dream like quality (did this happen or not? kind of thing). The interesting thing that I noted was that, although I had a typical MDMA high, it appeared to be a lot more even, with no or definitely less distinct plateau or comedown.
When the party ended and I sobered up (alcohol wise, I still felt some speediness of MDMA), we ventured to a friends house for a chill. There I took the last half of the pills I had and, to my surprise, felt no effect at all. Actually, an hour after ingesting the pill I went straight to bed and had 4 hours of good sleep, waking up feeling slightly distorted from alcohol, but otherwise in good spirits.
I really don't know what I can make out of this. I'm familiar with the research done which showed that alcohol can potentiate MDMA effects by increase of the plasmic concentration of this substance. Is it then possible that MDMA concentration was potentiated to such an extent that it overrode SSRI?
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.