Medicare Risk Adjustment
for humans
Exploring the CMS risk adjustment model based on Hierarchical Condition Categories (HCCs).
Introduction
This site contains an explanation and open-source implementation of the Risk Adjustment model used by the Center for Medicare and Medicaid Services (CMS) to pay Medicare Advantage plans. The full details of the model, along with a software implementation, are published on the CMS website. However, this information can be hard to parse, and CMS's software is written in SAS, a languge which is neither free nor widely used in the software development community. The risk adustment calculator on this page is based on pyriskadjust, an open-source python implementation.
What is Risk Adjustment?
To understand Risk Adjustment, you first need to understand the difference between the two flavors of Medicare: Original Medicare, and Medicare Advantage (MA). Patients who are eligible for Medicare (primarily seniors over the age of 65, but also some younger patients with disabilities) can choose between these two options. Both typically involve a monthly premium paid by the patient, after which the government foots the bill for some percentage of the patient's medical costs.
The government pays for the two types of Medicare in very different ways. Original Medicare is administered directly by the government under a "fee-for-service" model. This means that the government, acting as the insurer, simply pays their portion of whatever service the patient uses. If a patient visits the doctor for a standard office visit, gets some lab work done and also gets a flu shot, the government will pay their share for each of those three items (the office visit, the lab test, the flu shot). Although this "a la carte" model of healthcare is easy to describe, it is often criticized as incentizing quantity of care rather than quality of care.
In contrast to the fee-for-service model of original Medicare, Medicare Advantage is an example of "value based care," administered by private insurance companies like United Healthcare, Aetna, etc. Instead of paying for each individual service the patient uses, the government pays these private insurance company a fixed rate per patient per year. The insurers are required to provide the same level of benefits as Original Medicare, but it's up them to determine how to allocate their expenses. This, at least in principle, incentivizes payers to keep the overall costs of patient treatment low. Plans that do a better job of keeping patients healthier will have lower overall costs, and can thus profit from the difference between the fixed amount they're receiving and their expenses.
In the early days of Medicare Advantage, payers would make money by cherry-picking the healthiest patients with the lowest costs. Although this practice was technically prohibited, payers could get around it by advertising to the healthiest patients or by only offering their plans in regions with healthier populations. To disincentivize this kind of behavior, Risk Adjustment was born. Risk Adjustment is the process of adjusting the amount paid to Medicare Advantage plans based on the health conditions of the patients they insure. The idea is that by paying insurance companies more to insure sicker patients, they should be incentivized to insure all patients, not just the healthy ones.
How is the Risk Adjustment Factor calculated?
For each patient insured by Medicare Advantage, the amount that the government pays to the Medicare Advantage plan depends on the patient's demographic traits (age and sex) and medical conditions. The relevant medical conditions are divided into categories called Hierarchical Condition Categories (HCC). They are "hierarchical" because some categories represent more severe or specific versions of other categories. For instance, HCC 19 is "Diabetes without complications" and HCC 18 is "Diabetes with complications." The latter is a more severe version of the former.
To determine which HCC categories apply to a patient, Medicare looks at the diagnosis (ICD) codes that have been used on the patient's insurance claims throughout the year. For each HCC, there is a set of related ICD codes, and if a patient has at least one of those ICD codes, they qualify as having the HCC (there is no advantage to having multiple diagnosis codes that imply the same HCC). Sometimes, a patient's set of ICD codes will imply multiple HCCs. If two such HCCs are related in the hierachy, only the more specific/severe HCC will be used.
A final score for the patient, also known as the Risk Adjustment Factor or RAF score, is computed by adding a series of numeric coefficients. Formally, the score is simply a weighted sum of boolean variables, where each variable represesents the presence or absence of a certain condition based on the following features:
- The age and sex of the patient
- The HCCs the patient qualifies for (after filtering to only the most specific/severe ones that apply)
- Interactions between multiple HCCs
Compute the Risk Adjustment Factor
RAF Score: {{ rafScore.total }}
- {{ c.description }} : {{ c.score }}
- {{ c.description }} : {{ c.score }}
- {{ c.description }} : {{ c.score }}
Browse the ICD codes leading to each HCC
See how the HCCs are related
The child conditions are more specific/severe instances of the parent conditions.


Administrators of this application can list resources registered by resource owners via the UMA 2.0 Resource Registration Endpoint.
This endpoint defined by the UMA 2.0 specification is used by the resource server to register resources it wants the authorization server to protect and manage access policies.


|
| map< string, vector< Vertex2D > > | projection |
| |
| map< string, list< Vertex3D > > | model |
| |
| map< string, string > | pointToProj |
| |
| map< string, vector< Vertex3D > > | projLabels |
| |
| map< string, vector< string > > | faces_vertices |
| |
| map< string, vector< string > > | vertices_faces |
| |
| float | x = 0.0 |
| |
| float | y = 0.0 |
| |
| float | z = 0.0 |
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| float | a = 1.0 |
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| float | b = 0.0 |
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| float | c = 0.0 |
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| int | choice =0 |
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| Vertex3D | new_x |
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| Vertex3D | new_y |
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| string | input_file |
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| string | output_file |
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| map< string, Vertex3D > | vertices |
| |
| map< string, Vertex2D > | result |
| |
| map< pair< float, float >, vector< string > > | vertices2D |
| |
| int | m =0 |
| |
| int | n_edges =0 |
| |
| int | n_faces =0 |
| |
| map< string, string > | correspond |
| |
| vector< pair< string, string > > | edges |
| |
| int | n = 0 |
| |
| float | scale_factor = 1 |
| |
| vector< string > | vertices_list |
| |
| float | alpha = 0.0 |
| |
| float | beta = 0.0 |
| |
| float | gamma = 0.0 |
| |
Definition at line 12 of file ThreeToTwo.cpp.
| void Three_To_Two::calc_angle |
( |
| ) |
|
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inline |
| void Three_To_Two::getInput |
( |
string |
in | ) |
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inline |
| void Three_To_Two::getPlane |
( |
| ) |
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inline |
| void Three_To_Two::plotOutput |
( |
string |
out | ) |
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inline |
| void Three_To_Two::project |
( |
| ) |
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inline |
| void Three_To_Two::rotate_axis |
( |
| ) |
|
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inline |
| void Three_To_Two::scale |
( |
float |
factor, |
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bool |
autoscale, |
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bool |
update |
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) |
| |
|
inline |
| void Three_To_Two::setPlane |
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float |
a1, |
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float |
b1, |
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float |
c1 |
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) |
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inline |
| void Three_To_Two::shift_origin |
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bool |
calculate, |
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bool |
update |
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) |
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inline |
| void Three_To_Two::writeOutput |
( |
string |
out | ) |
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inline |
| float Three_To_Two::a = 1.0 |
| float Three_To_Two::alpha = 0.0 |
| float Three_To_Two::b = 0.0 |
| float Three_To_Two::beta = 0.0 |
| float Three_To_Two::c = 0.0 |
| int Three_To_Two::choice =0 |
| map<string,string> Three_To_Two::correspond |
| vector<pair<string,string> > Three_To_Two::edges |
| map< string, vector<string> > Three_To_Two::faces_vertices |
| float Three_To_Two::gamma = 0.0 |
| string Three_To_Two::input_file |
| map<string, list<Vertex3D> > Three_To_Two::model |
| int Three_To_Two::n_edges =0 |
| int Three_To_Two::n_faces =0 |
| string Three_To_Two::output_file |
| map< string, string> Three_To_Two::pointToProj |
| map<string, vector<Vertex2D> > Three_To_Two::projection |
| map< string, vector<Vertex3D> > Three_To_Two::projLabels |
| map<string, Vertex2D> Three_To_Two::result |
| float Three_To_Two::scale_factor = 1 |
| map<string, Vertex3D> Three_To_Two::vertices |
| map<pair<float,float>, vector<string> > Three_To_Two::vertices2D |
| map< string, vector<string> > Three_To_Two::vertices_faces |
| vector<string> Three_To_Two::vertices_list |
| float Three_To_Two::x = 0.0 |
| float Three_To_Two::y = 0.0 |
| float Three_To_Two::z = 0.0 |
The documentation for this class was generated from the following file:


Review of Class 5
Data | Introduction to Raster Model
Class 6
Introduction to GIS Analysis
Essential/Common Analysis Queries:
>Mapping where things are
>Mapping the Most and the Least (and everything in-between)
>Mapping Density
>Finding what's inside & finding what's nearby
>Mapping change over time
Essential Analysis Concepts
>Selections
>Measurement
>Boolean Logic
>Map Overlay vs. Single Layer Analysis
>Vector Analysis vs. Raster Analysis
Select by Attributes vs. Location...
'Straight' vs. 'Cost' distances...
Boolean Logic...
Map Overlay Compared...
Vector Map Overlay...
'Slivers' a common problem for vector overlay...
Raster Map Overlay...
Single Layer Analysis (Vector & Raster)...
Single Layer Analysis (Vector and Raster)...
Map Overlay Analysis (Vector)...
Map Overlay Analysis (Raster)...
Class 5 Assignment Review and Lab


EC413 - RISC-V Assembly to Machine Code Converter
Assembly Instruction:
Convert
Assembly
Instruction
Hex


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Pulse is a side scroller game where you must use your magnetic hands to advance through the levels. Push enemies and pull yourself to boxes in order to complete the level.
A procedural cave demo developed using marching squares, polishment steps, painter algorithm to remove isolate rooms, and 3d mesh generation from the generated data.


This is where you can search for your fellow developers on Github
Git search is created by lewis mutuma


Here are the products that you can choose from, please click on any of the pictures:
View Results
Erase Memory


The following AWS accounts are being audited for this team.
| Name | Failures | Status |
|---|---|---|
|
{{ account_audit.account.account_name }}: {{ account_audit.account.account_id }}
Date of last audit: {{ account_audit.audit.date_started | datetime }} |
{%- if item.issues_found > 0 -%} {{ item.issues_found }} {{ "failed resource" if (item.issues_found == 1) else "failed resources" }} {%- else -%} 0 failed resources {%- endif -%} | {{ "Pass" if account_audit.passed else "Fail" }} |
| {{ account_audit.account.account_name }}: {{ account_audit.account.account_id }} | Unaudited |
The following AWS accounts are not being audited. All active AWS accounts should be monitored. Accounts labelled Unmonitored need to be resolved. We should either be monitoring them or they should be suspended. There is a risk that a disused account which has not been suspended could be put to malicious use without our noticing.
| Name | Status | Action |
|---|---|---|
| {{ account_audit.account.account_name }}: {{ account_audit.account.account_id }} | {{ 'Suspended' if account_audit.account.suspended else 'Unmonitored' }} | {{ 'None' if account_audit.account.suspended else 'Fix' }} |


- GARBAGE_COLLECTION_NOTIFICATION - Static variable in class com.sun.management.GarbageCollectionNotificationInfo
-
Notification type denoting that
the Java virtual machine has completed a garbage collection cycle.
- GarbageCollectionNotificationInfo - Class in com.sun.management
-
The information about a garbage collection
- GarbageCollectionNotificationInfo(String, String, String, GcInfo) - Constructor for class com.sun.management.GarbageCollectionNotificationInfo
-
Constructs a GarbageCollectionNotificationInfo
object.
- GarbageCollectorMXBean - Interface in com.sun.management
-
Platform-specific management interface for a garbage collector
which performs collections in cycles.
- GcInfo - Class in com.sun.management
-
Garbage collection information.
- get(String) - Method in class com.sun.management.GcInfo
-
- getAll(String[]) - Method in class com.sun.management.GcInfo
-
- getCommittedVirtualMemorySize() - Method in interface com.sun.management.OperatingSystemMXBean
-
Returns the amount of virtual memory that is guaranteed to
be available to the running process in bytes,
or -1 if this operation is not supported.
- getCompositeType() - Method in class com.sun.management.GcInfo
-
- getDiagnosticOptions() - Method in interface com.sun.management.HotSpotDiagnosticMXBean
-
Returns a list of VMOption objects for all diagnostic options.
- getDuration() - Method in class com.sun.management.GcInfo
-
Returns the elapsed time of this GC in milliseconds.
- getEndTime() - Method in class com.sun.management.GcInfo
-
Returns the end time of this GC in milliseconds
since the Java virtual machine was started.
- getFreePhysicalMemorySize() - Method in interface com.sun.management.OperatingSystemMXBean
-
Returns the amount of free physical memory in bytes.
- getFreeSwapSpaceSize() - Method in interface com.sun.management.OperatingSystemMXBean
-
Returns the amount of free swap space in bytes.
- getGcAction() - Method in class com.sun.management.GarbageCollectionNotificationInfo
-
Returns the action of the performed by the garbage collector
- getGcCause() - Method in class com.sun.management.GarbageCollectionNotificationInfo
-
Returns the cause the garbage collection
- getGcInfo() - Method in class com.sun.management.GarbageCollectionNotificationInfo
-
Returns the GC information related to the last garbage collection
- getGcName() - Method in class com.sun.management.GarbageCollectionNotificationInfo
-
Returns the name of the garbage collector used to perform the collection
- getId() - Method in class com.sun.management.GcInfo
-
Returns the identifier of this garbage collection which is
the number of collections that this collector has done.
- getLastGcInfo() - Method in interface com.sun.management.GarbageCollectorMXBean
-
Returns the GC information about the most recent GC.
- getMaxFileDescriptorCount() - Method in interface com.sun.management.UnixOperatingSystemMXBean
-
Returns the maximum number of file descriptors.
- getMemoryUsageAfterGc() - Method in class com.sun.management.GcInfo
-
Returns the memory usage of all memory pools
at the end of this GC.
- getMemoryUsageBeforeGc() - Method in class com.sun.management.GcInfo
-
Returns the memory usage of all memory pools
at the beginning of this GC.
- getName() - Method in class com.sun.management.VMOption
-
Returns the name of this VM option.
- getOpenFileDescriptorCount() - Method in interface com.sun.management.UnixOperatingSystemMXBean
-
Returns the number of open file descriptors.
- getOrigin() - Method in class com.sun.management.VMOption
-
Returns the origin of the value of this VM option.
- getProcessCpuLoad() - Method in interface com.sun.management.OperatingSystemMXBean
-
Returns the "recent cpu usage" for the Java Virtual Machine process.
- getProcessCpuTime() - Method in interface com.sun.management.OperatingSystemMXBean
-
Returns the CPU time used by the process on which the Java
virtual machine is running in nanoseconds.
- getStartTime() - Method in class com.sun.management.GcInfo
-
Returns the start time of this GC in milliseconds
since the Java virtual machine was started.
- getSystemCpuLoad() - Method in interface com.sun.management.OperatingSystemMXBean
-
Returns the "recent cpu usage" for the whole system.
- getThreadAllocatedBytes(long) - Method in interface com.sun.management.ThreadMXBean
-
Returns an approximation of the total amount of memory, in bytes,
allocated in heap memory for the thread of the specified ID.
- getThreadAllocatedBytes(long[]) - Method in interface com.sun.management.ThreadMXBean
-
Returns an approximation of the total amount of memory, in bytes,
allocated in heap memory for each thread whose ID is in the input
array ids
.
- getThreadCpuTime(long[]) - Method in interface com.sun.management.ThreadMXBean
-
Returns the total CPU time for each thread whose ID is
in the input array ids
in nanoseconds.
- getThreadUserTime(long[]) - Method in interface com.sun.management.ThreadMXBean
-
Returns the CPU time that each thread whose ID is in the input array
ids
has executed in user mode in nanoseconds.
- getTotalPhysicalMemorySize() - Method in interface com.sun.management.OperatingSystemMXBean
-
Returns the total amount of physical memory in bytes.
- getTotalSwapSpaceSize() - Method in interface com.sun.management.OperatingSystemMXBean
-
Returns the total amount of swap space in bytes.
- getValue() - Method in class com.sun.management.VMOption
-
Returns the value of this VM option at the time when
this VMOption was created.
- getVMOption(String) - Method in interface com.sun.management.HotSpotDiagnosticMXBean
-
Returns a VMOption object for a VM option of the given
name.


Up coming event
| Date: | Name: | Venue: | Info: | Reach: | Status: |
|---|---|---|---|---|---|
| 11 - 14 March | Westrand Careers Expo | Greenhills Sport Complex, Randfontein | Host event and have exhibition stand. | 7 500 high schooler's | Completed |
| 10 - 16 June | Youth Month Celebrations | Nasrec Expo Centre, Gauteng | Host event and have exhibition village area. | 75 000 to 100 000 youth | TBC |
| Mid July - End August | University Roadshow | 25 Universities countrywide. SA | Pride Factor and Bebold to host event and have exhibition space available. | 750 - 1000 per Uni x 25 = 20 000 | On |


Our mission to help mankind live healthier and longer. This begins with Practo Search – our product that helps you find the right healthcare practitioner.
The Practo Relevance Algorithm (PRA) is central to our search product and determines the order in which the search results are shown to each consumer for his/her specific query. PRA has been designed from the ground up to adhere to our ‘Patient First’ philosophy and has a singular goal – to provide the most relevant results to your query so that we can help you find the right healthcare practitioner with ease.
Read MoreSince each listing on Practo has been physically verified by our team, we usually have the accurate location for each of them. When you put a search query, our system recognizes the locality and assigns higher importance to doctors within a 5 km diameter. To give you choice, we also automatically show popular doctors in the neighbouring area.
Read MoreWe list doctors from over 200 specialties and sub-specialties recognised by relevant governing bodies. Any specialization listed on a doctor’s profile on Practo is verified by ensuring that the concerned doctor possesses valid qualifications, making him/ her eligible to publish the said specialization. This further ensures that you see the specialists only relevant to your query. This specialization-qualification mapping is governed by our central repository of medical information
Read MoreWe also believe that you should be going to healthcare practitioners who provide a great overall healthcare experience. We measure this by analyzing your waiting time, availability of the practitioner, and of course, patient feedback.
Appointments: If a lot of users end up selecting a particular doctor to book an appointment with, then we believe that doctor is popular and thus grant a few bonus points in our algorithm, which may positively impact the listing order.
Views: We also place importance on the number of views a doctor profile receives in a 30-day period. We separately measure views received via searches outside of Practo as well as clicks on the profile, post search query on Practo.


Bobsleigh: Humphries named to USA squad after battle with Canadian team
(Reuters) - Two-time Olympic gold medal-winning bobsledder Kaillie Humphries was officially named to the USA Bobsled National Team on Thursday, capping off the Calgary native’s long saga to be released from the Canadian squad.
Humphries filed a lawsuit against Bobsleigh Canada in September in order to compete in the United States, after lodging a harassment complaint last year against the governing body, for whom she competed in three Olympic Games.
Bobsleigh Canada freed her to compete in the States later that month, after a Calgary judge initially had blocked her bid.
“Today I’m feeling that whole purpose driven warrior princess save the world type of vibe,” Humphries tweeted on Friday. “@TeamUSA @USABS it’s official.”
The 34-year-old, who most recently won bronze at the Pyeongchang Games, is based out of Carlsbad, California, and was named to the 2019-2020 team after winning trials, according to USA Bobsled and Skeleton.


Start Boottrap can help you build better websites using Boottrap CSS frameworld just download your template and start going, no strings attached!
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Start Boottrap has everything you need to get your new websites up and running in no time! All of the templates and themes ce the 1500s, when an unknown printer took a galley of type and


Interface IOptions
Interface that represents the options that can be specified when configuring the commanding runtime
Namespace: AzureFromTheTrenches.Commanding.Abstractions
Assembly: AzureFromTheTrenches.Commanding.Abstractions.dll
Syntax
public interface IOptions
Properties
| Improve this Doc View SourceAuditItemEnricherFactoryFunc
By default audit item enrichers are created through the dependency resolver but if a function is assigned to the AuditItemEnricherFactoryFunc property then that function will be used to instantiate an enricher
Declaration
Func<Type, IAuditItemEnricher> AuditItemEnricherFactoryFunc { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Func<System.Type, IAuditItemEnricher> |
CommandExecutionExceptionHandler
Can be used to register a type that implements the ICommandExecutionExceptionHandler interface that will be invoked in the event of an execution error
Declaration
Type CommandExecutionExceptionHandler { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Type |
CommandHandlerContainerRegistration
Unless an alternative implementation of ICommandHandlerFactory is supplied or the CommandHandlerFactoryFunc in this options class is set then actors are created through the dependency resolver but not all IoC containers can resolve unregistered concrete types (for example the built in ASP.Net Core IServiceCollection and IServiceProvider IoC cannot). Where this is the case supply an implementation for the CommandHandlerContainerRegistration action that registers the actors in the container. For example using an IServiceCollection instance of serviceCollection: var options = new Options() { CommandHandlerContainerRegistration = type => services.AddTransient(type, type) };
Declaration
Action<Type> CommandHandlerContainerRegistration { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Action<System.Type> |
CommandHandlerFactoryFunc
By default actors are created through the dependency resolver but if a function is assigned to the CommandHandlerFactoryFunc property then that function will be called to instantiate an handler.
Declaration
Func<Type, object> CommandHandlerFactoryFunc { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Func<System.Type, System.Object> |
DisableCorrelationIds
Setting this to true will disable all correlatin ID generation which can give a small performance boost in super-low latency situations.
Declaration
bool DisableCorrelationIds { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Enrichers
It can be useful to include additional properties in the command context, for example the Application Insights Operation ID. This can be done by setting this property to a set of enrichment objects - these are called in sequence and are passed the current state of the command contexts enriched properties and can return a dictionary of properties to insert. If the returned dictionary contains a property that already exists it will be replaced in the command context property bag.
Declaration
IEnumerable<ICommandDispatchContextEnricher> Enrichers { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Collections.Generic.IEnumerable<ICommandDispatchContextEnricher> |
MetricCollectionEnabled
Set to true to gather timing metrics around command dispatch and execution. Note this has a minor performance implication in high throughput environments.
Declaration
bool MetricCollectionEnabled { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
Reset
The commanding system maintains command registrations, command context enrichers, and auditors between calls to UseCommanding to enable sub-modules to extend the system without any awareness / tight coupling between them. If you want to force a reset of the shared state then set this property to true (generally this is only useful in sample apps where you might repeatedly recreate and reconfigure an IoC container as the included samples do.
Declaration
bool Reset { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
UseLocallyUniqueCorrelationIds
By default correlation IDs will be generated as GUIDs so that they are unique across as distributed system however if performance is key a local;y unique (incrementing long, thread safe) correlation ID can be used by setting this to true
Declaration
bool UseLocallyUniqueCorrelationIds { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |


CGI Regional Working Groups
The Role of Regional Working Groups
The CGI’s broad aim is to enable the global exchange of geoscience information and systems. Recognising that the CGI council member will be able only to provide continentalscale regional representation, the CGI council recognises the potential need to institute working groups that will address the specialised technical or scientific needs of regions defined by culture, geography or politics and encourages the establishment of CGI Regional Working Groups (RWG).
RGW Activities
RWGs will be required to respect the aims and policies of the CGI as outlined in the CGI Statutes and organise their own activities. In the interests of maintaining a consistent approach across all CGI activities and regions, RGWs must seek CGI Council approval before endorsing as a CGI product or standard, any locally developed standard, tool, or system. Where appropriate, RWGs can play an important role representing and promoting CGI aims and policies at relevant regional conferences, workshops and meetings but must inform CGI council if doing so.
Funding
The CGI is unfortunately unable to provide funding support to RGWs but will work to facilitate their operations wherever possible.
Liaison with CGI Council
CGI council will identify a council member to act as a liaison with the chairman of the RGW. The designated CGI council member will represent the RWG at CGI council meeting and be responsible for keeping their RWG(s) informed of CGI developments. Where appropriate, RGW chairmen may be requested to attend all or part of CGI council meetings.
Application
Individuals wishing to form a RGW should make a written proposal to the CGI Council including:-
- Identification of the region they propose to represent;
- Their specific regional issues;
- Their proposed activities;
- Identification of a chairman and list of interested individuals and their affiliations;
- Full contact information for the proposed chairman (phone, address, email, fax).
Where possible, RGWs are encouraged to include as members, individuals from different institutions such as universities, geological surveys and industry. The CGI Council will evaluate proposals to establish RWGs and respond to the designated chairman within three weeks.


|
Xilin SUN
Master of Engineering, Industrial Engineering and Operations Research
|
Xilin (Harry, Aenon) Sun is a Master of Engineering cadidate in Industrial Engineering and Operations Research, University of California, Berkeley.
Prior to joining UC Berkeley, Xilin earned his Bachelor of Engineering degree in Product Analysis and Engineering Design in the Department of Mechanical Engineering, The Hong Kong Polytechnic University.
Representative design projects can be viewed in XILIN'S PORTFOLIO.
Currently, he is doing a data science project under supervision of Prof. Lee Fleming at UC Berkeley, in cooperation with Jay Yonamine from Google. This project utilizes Motorola patent data from Google and PAIR data from United States Patent and Trademark Office (USPTO). A tool to evaluate patents in terms of patent citation and blocking is being developed, using natural language processing (NLP) and machine learning techniques.
Xilin is an enthusiast of free software and its philosophy and a life member of USTC Linux User Group and Linux User Dinners. He is also a photographer.
Some useful information may be found at his blog (in Chinese), 500PX or LinkedIn.
He is in love with Wenying Liu, a Candidate of M.S. in Data Science at New York University.
Photo |
Name |
Duration |
Institution |
Role |
Duty |
|---|---|---|---|---|---|
Embedded system development for UAVs
|
June 2014 - Aug 2014
|
Beijing Wanhoo Aerospace Tech
|
Design Engineer Intern
|
Develop control and data collection system for UAVs
|
|
Arduino Workshop
|
Nov 2014
|
HKPU Hunghom Halls
|
Instructor
|
Giving introductions to students on Arduino and help them carry out simple projects
|
|
May 2014 - Aug 2014
|
Google Summer of Code
|
Student Participant
|
Rebuild and fixe some of the abnormal packages of Debian port on mips/mipsel, in order to improve the quality of Debian ports on these architectures.
|
||
Chinese Mainland Students' Association
|
May 2012 - May 2013
|
HKPU
|
I.T. Secretory (AKA Head of I.T. Department)
|
Managing online forum; online promotion
|
|
Red Hat Challenge 2014
|
Oct 2014 - Dec 2014
|
Red Hat
|
Finalist Competitor
|
Develop and build an application with theme “Smart Living, Smart Homes”. Deploy the application on OpenShift. Attend the exam for Red Hat Certified System Administrator.
|
|
Linux Workshop
|
Nov 2011
|
HKPU Hunghom Halls
|
Instructor
|
Give introduction to students on free software and Linux, and help them install and get started using Linux with Ubuntu, openSUSE or Fedora
|
University of California, Berkeley
Master of Engineering, Industrial Engineering and Operations Research, May 2016 (expected)
Subject Code |
Name |
Instructor |
Project |
|---|---|---|---|
CS289
|
Introduction to Machine Learning
|
Isabelle Guyon & Alexei Efros
|
|
This course introduction to theoretical foundations, algorithms, and methodologies for machine learning, emphasizing the role of probability and optimization and exploring a variety of real-world applications.
| |||
The Hong Kong Polytechnic University
Bachelor of Engineering in Product Analysis and Engineering Design, June 2015
Subject Code |
Name |
Instructor |
Project |
|---|---|---|---|
ME3103
|
Dynamics and Control for Product Design
|
Dr. WO WONG
|
Toy car dynamic analysis
|
Dynamics, vibration and control theories
| |||
ME3306
|
Product Modeling Simulation and Analysis
|
Dr. MW FU
|
Magic cube design and optimization
|
3D product modeling, analysis and optimization
| |||
ME3307
|
Structural Design and Analysis of Products
|
Dr. WO WONG and Prof. Alan LAU
|
Structural analysis of a product
|
Product design and optimization with consideration of material and structural properties
| |||
ME3403
|
Advanced Engineering Sciences in Products
|
Dr. Peng ZHANG and Prof. CW Leung
|
Design of wind-powered water heater
|
Fluid mechanics, heat transfer and acoustics
| |||
ME4209
|
Product Mechatronics
|
Dr. Yuan JING
|
Mechatronics analysis and improvement of an air purifier
|
Control theories and robot design
| |||
ME4214
|
Design for Product Safety
|
Dr. David YUEN
|
Analysis and improvement in safety of an air purifier
|
Product liability, risk management, safety standards and safety analysis
| |||
ME4216
|
Design of Automotive Mechanical Systems
|
Prof. CS CHEUNG and Dr. Ernest NG
|
Design Features of Air-Propelled Vehicle
|
Vehicle dynamics, engine performance, transmission system, HVAC, aerodynamics, suspension, steering and braking systems
| |||
ME4303
|
Product Testing Technology
|
Prof. Alan LAU
|
|
Destructive/non-destructive testing, examination techniques, standards and data handling and virtual testing
| |||
ME4906
|
Numerical Methods for Product Analysis
|
Dr. Ernest NG and Dr. KF LEE
|
|
Computer solusion of non-linear equations and simultaneous linear equations, numerical differentiation, integration and ODE, finite difference method and FEM
| |||
SD348
|
Introduction to Industrial Design
|
Mr. Paul LO
|
Design of smart bicycle light
|
Industrial design processes and techniques, and their application
| |||
SD3401
|
Designing for Humanities
|
Prof. KW SIU
|
Design of toilet aid wiper
|
Product design for special society groups
| |||
SD4041
|
Design in Business for Engineering
|
Prof. KW SIU
|
Development of fruit/vegetable preparation product
|
Application of arts, mathematics, information technology, material technology, manufacturing processes via analytical and computational appraches to realize design concepts addressing certain market needs
| |||
ISE410
|
Rapid Prototyping Technologies
|
Dr. KM YU
|
Sculpture with scanned student faces
|
Rapid prototyping, rapid tooling and reverse engineering technologies
| |||
ISE441
|
Engineering Project Management
|
Dr. Joseph CHAN
|
|
Skills for analysing and applying engineering project management tools
| |||
Coursera
|
Dr. Roger D. Peng
|
||
Introduction to the main tools and ideas in the data scientist's toolbox
| |||
Coursera
|
Dr. Roger D. Peng
|
||
How to program in R and how to use R for effective data analysis
|


ONE gets away from stress and struggles in full 'Hard To Love' MV
by beansssHip-hop musician ONE recently shared the full MV for his comeback title track "Hard To Love", from his 1st full album 'PRVT 01' released earlier this month.
ONE's 'PRVT 01' marks the musician's first album release since his independence from YG Entertainment, as well as his first comeback to music in approximately 2 years. The album encompasses themes of growth and maturity, and the lessons learned from the pains of growing up.
You can catch ONE's somewhat lonely, quiet getaway with friends in his "Hard To Love" MV, above.


--- title: "Invited Speakers" link: "InvitedSpeakers" order: 3 --- {% assign sortedSpeakers = site.data.invitedSpeakers | sort:"LastName" %}


This is the API documentation for 'treetop-1.5.3 Documentation'.
[Validate]
Generated with the Darkfish Rdoc Generator 2.


80,000
total cases
20,000
40,000
60,000
March 1
First case in New York
5
March 10
Cornell annouces virtual classes beginning April 6 through the rest of the semester. Undergraduates must move out of housing by March 28.
10
March 13
Class are suspended for the next two weeks leading up to spring break.
15
March 19
The semester is extended by one week.
20
In-person commencement
ceremonies are postponed.
March 20
The first two cases of COVID-19 in the Cornell community are reported.
25
Classes
suspended
March 31
As of this date, a total of 11 Cornell community
members had tested positive for COVID-19.
30
75,832 cases
Spring break
80,000
total cases
20,000
40,000
60,000
March
1
First case in New York
5
March 10
Cornell annouces virtual classes beginning April 6 through the rest of
the semester. Undergraduates must move out of housing by March 28.
10
March 13
Class are suspended for the next two weeks leading up to spring break.
15
March 19
The semester is extended by one week.
20
March 20
In-person
commencement
ceremonies
are postponed.
The first two cases of COVID-19 in the Cornell community are reported.
25
Classes
suspended
March 31
A total of 11 Cornell community
members had tested positive
for COVID-19.
30
75,832 cases
Spring break


{% extends 'hr/base.html' %} {% block head %} {% endblock head %} {% block content %} {% if not member.key_id or not member.v_code %}
You need to have at least 1 API Key on file
| Item | Setting | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Character name | {{ member.character_name }} | ||||||||||
| Current corporation | {{ member.corporation }} | ||||||||||
| Reddit username | {% if member.reddit %} {{ member.reddit }} {% else %} Link your account! {% endif %} | ||||||||||
| Membership status | {{ member.status }} | ||||||||||
| API key(s) | Edit | ||||||||||
| Training Progress |
Please note that having all of these filled by Mentors doesn't mean that you're automatically advanced to Bro; it's still handled on a case by case basis. |


To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video


| Name | Picture | Nation | Discription | Year | Yield (Kilotons of TNT) | |
|---|---|---|---|---|---|---|
| Trinity | US | First A-Bomb | 1945 | 18 | ||
| Little boy | US | Hiroshima | 1945 | 15 | ||
| Fat Man | US | Nagasaki | 1945 | 20 | ||
| RDS-1 | USSR | First Russian A-Bomb | 1949 | 22 | ||
| Ivy Mike | US | First thermonuclear Bomb | 1952 | 10,400 | ||
| Tsar Bomba | USSR | Most powerful bomb ever | 1961 | 50,000 |


Cu current collector
Silicon (S1, S2 and S3)
Glass fiber
canarator
Al current collector
LP40 electrolyte


This shows dygraphs without any boxlike elements (i.e. axes or grids):
Disable the legend though, otherwise it’s not very interactive…


Although Boca Chica is the only natural site for a marina in western Panama, the proposal to build one never came to fruition. Currently there is just a small village here. The anchorage is protected by lines of off-lying islands.
Position 8º12.5' N, 82º11.5' W.
Read Panama Formalities for detailed information on procedures for clearing into and out of Panama.
This is a good anchorage but there are no yacht pontoons in place at the proposed marina site.
There is a small yard which launches and recovers small motorboats past the town around the north point. This is owned by Carlos Spragge, a well known diver master who also runs a dive operation. Carlos is a very hospitable and fun man who offers his dinghy dock and friendly atmosphere. There are only a few spots for anchoring here and a few mooring buoys, so it's advisable to make arrangements in advance by calling on Channel 16. It is possible to get fuel here with advance warning, come alonside the pontoon at slack tide. Call<PHONE_NUMBER>.
If heading up to Carlos' place, be aware that there is an unmarked reef in front of the town, not mentioned in several guide books. The current runs very fast in the narrow channel in front of the town at peak periods and yachts should stay to the far starboard side to avoid the reef. There are also unmarked overhead power lines across the channel just before the reef, so the transit in front of the town needs to be done at low(ish) tides to avoid the power lines for boats with high masts. Call Carlos on VHF Ch.16 and he will guide you through the channel.
The three hotels here all have restaurants and bars, and are cruiser friendly places. The village has a small provision store.
There is a bus to David, the nearest large town, for more serious shopping.
Last updated March 2013.


Founder Laser Calibration Inc.
Electro-Mechanical Repair for high
precision measurement equipment
Mexico , South America , Brazil.
Jan 1995 - Feb 2013
LAMP+J Software Development Bootcamp
Codeup
San Antonio, TX
Graduating in Fall 2014
Undergrad
Devry Institute of Technology
Electronics
3 Years Course
Oct 1984


Guidance
2017 performance tables: technical and vocational qualifications
Technical and vocational qualifications for teaching from September 2015 and reporting in 2017 performance tables.
Documents
Ref:
DFE-00686-2014
PDF
,
539KB
,
12 pages
Ref:
DFE-00097-2015
PDF
,
637KB
,
19 pages
Ref:
DFE-00096-2015
PDF
,
972KB
,
26 pages
Ref:
DFE-00095-2015
PDF
,
506KB
,
18 pages
Details
These documents include:
-
2 new qualification categories:
-
technical awards, for reporting in the key stage 4
performance tables
in 2017 (these are practical qualifications for 14- to 16-year-old students)
-
technical certificates
, for reporting in the 16 to 19 performance tables in 2017
-
the list of qualifications in the
tech level
category, for reporting in the 16 to 19 performance tables in 2017
-
the list of qualifications in the
applied general qualifications
category, for reporting in the 16 to 19 performance tables in 2017


25th Oct 2018:
New Films by Zvyagintsev, Avranas, Trier and Coppola in Together Again
Russian director Andrey Zvyaginstev, two times the main award winner in Zagreb – for The Return and The Banishment, is coming with the hypnotic thriller Loveless, this year’s Cannes Jury Award winner. A story about tragic consequences of a failed marriage in its final stage and child kidnapping is a grim portrayal of present-day Russia. A decadent society in a financial and ethical crisis is also the focus of the film Love Me Not by the prominent Greek New Wave director Alexandros Avranas, who came into the spotlight of the film world with a powerful domestic violence drama Miss Violence, screened at the 11th Brooklyn OFF. A quiet flow of the story about a childless married couple hiring a young immigrant as a surrogate mother is interrupted by a tragic accident.
Following the brilliant titles Oslo, 31 August and Louder than Bombs, screened in ZFF’s sections, Norwegian director Joachim Trier and his latest work Thelma for the first time embark on the adventure of genre film, using elements of horror and thriller. The protagonist is a shy biology student who abandons her religious family to go study in Oslo, falls in love with her beautiful colleague and discovers she has telekinetic powers. Another director together with us again is Sofia Coppola, whose film Lost in Translation was screened at the 10th Brooklyn OFF. This year we will be watching her latest film The Beguiled, a lavish period drama starring Nicole Kidman, Kirsten Dunst, Elle Fanning and Colin Farrell, the winner of this year’s Cannes best director award.
The Italian directing duo, Antonio Piazza and Fabio Grassadonia, won the Golden Pram in the short film category at the 8th Brooklyn OFF for the film Rita, and several years later their feature film Salvo was presented. This year they return with Sicilian Ghost Story, a tale about the mysterious disappearance of a boy in rural Sicily, interweaving mafia kidnapping with mythology. Romanian director Andrei Cretulescu won the 12th ZFF Golden Pram for his short film Kowalski. This year, Together Again is screening his feature debut Charleston, an unusual love story with elements of dark humour.


| MATLAB 文件帮助: cv.imwrite | 查看 cv.imwrite 的代码 | Index |
imwrite Saves an image to a specified file
cv.imwrite(filename, img)
cv.imwrite(filename, img, 'OptionName', optionValue, ...)
The following format-specific save parameters are currently supported:
For advanced uses, you can directly pass a vector of paramters:
[paramId_1, paramValue_1, paramId_2, paramValue_2, ...]
.The function imwrite saves the image to the specified file. The image format
is chosen based on the filename extension (see cv.imread for the list of
extensions). Only 8-bit (or 16-bit unsigned uint16
in case of PNG,
JPEG 2000, and TIFF) single-channel or 3-channel (with RGB channel order)
images can be saved using this function. If the format, depth or channel
order is different, use cv.cvtColor to convert it before saving. Or, use the
universal cv.FileStorage I/O functions to save the image to XML or YAML
format.
If the image cannot be saved (because of IO errors, improper permissions, unsupported or invalid format), the function throws an error.
It is possible to store PNG images with an alpha channel using this function. To do this, create 8-bit (or 16-bit) 4-channel image RGBA, where the alpha channel goes last. Fully transparent pixels should have alpha set to 0, fully opaque pixels should have alpha set to 255/65535.
The sample below shows how to create such a RGBA image and store to PNG file. It also demonstrates how to set custom compression parameters:
% Create mat with alpha channel
nrows = 480; ncols = 640;
[I,J] = ndgrid(1:nrows, 1:ncols);
img = zeros(nrows, ncols, 4, 'uint8');
img(:,:,1) = uint8(255 * (nrows-I+1)/nrows); % red
img(:,:,2) = uint8(255 * (ncols-J+1)/ncols); % green
img(:,:,3) = uint8(255); % blue
img(:,:,4) = uint8(0.5 * sum(img(:,:,[1 2]),3)); % alpha
% save PNG file with alpha data
%imwrite(img(:,:,1:3), 'alpha.png', 'Alpha',img(:,:,4))
cv.imwrite('alpha.png', img, 'PngCompression',9, 'PngStrategy','RLE');
imfinfo('alpha.png')
% show image with alpha transparency
figure('Menubar','none', 'Color','k')
image(img(:,:,1:3), 'AlphaData',img(:,:,4))
axis image off


I am an Insightful Full-Stack Web Developer with a passion for web design technology ideas that has potential to further enhance organizational values; owing to my knowledge in various full stack languages including but not limited to HTML, CSS, Node.js, JavaScript, JSON and JQuery. I have attended a professional certification training course outline on Web Development with University Of Minnesota IT Boot Camp to enhance my proficiency.. My passion for e-business and product promotions has brought me to the field of web developer.
Finding scalable growth strategies is all I need to bring tangible results through coding and application architecture. I add values and pick up new concepts and skills incredibly fast, love working with people who share my enthusiasm for creating solutions to complex problems that meets both technical and design requirements. I adapt at working with diverse teams to implement projects as I leverage my Accounting background and Mathematical principles. A quick study on new technologies.


"""
try:
conn, cur = postgres_svr()
cur.execute("""alter table tabmember alter column user_name type character varying(255)""")
print(" Table TabMember altered successfully")
conn.commit()
except:
try:
conn = config.DB_CON
cur = conn.cursor()
cur.execute("""alter table tabmember alter column user_name type character varying(255)""")
print(" Table TabMember altered successfully")
conn.commit()
except:


Find a Band
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Simple, Purpose-Driven Tech
CoLab Cooperative is a decentralized, transnational tech worker co-operative.
CoLab Cooperative was founded in 2010 to co-create simple, purpose-driven web technology for a better world.
CoLab was born of diversity, with intercultural collaboration a part of its organizational DNA. In growing, we have prioritized heart-centered and inclusive cooperation, welcoming committed and aligned collaborators into the owner-membership as they become woven into our team.
Today, we have member-owners on three continents, and a larger collaborator network in seven U.S. states and eight countries from Austin, Texas to Australia. Our humble headquarters is in Ithaca, New York. We run our office as coworking space called The Hive.
Our specialty is agile web development and cooperative co-design.
We’re proudly building platforms with clients ranging from established institutions like Virginia Tech University, or B-Corporations like Seventh Generation, to cooperatives like Green Worker Cooperative, and the innovative platform cooperative Up&Go, one of the only digital tools owned and governed by its members.
As a co-op, we’re especially committed to cooperative alternatives. In 2017, we completed a study for the International Cooperative Alliance on financing for co-op startups, In 2018, we collaborated with Vancity Credit Union to validate new concepts for high-impact, community-led investment. In 2019 we are co-working with Democracy Collaborative on a report that gives an overview of the many models for scalable democratic organizations.


SameDiff
Graph
Plots
Evaluation
Performance
Toggle Sidebar
Select File
[No File Loaded]
Selected Node:
(None)
Find Node:
Graph Layout:
Down
Right
Alt
Spread


class Solution: def minimumTimeRequired(self, jobs: List[int], k: int) -> int: time = [0] * k answer = math.inf def recurse(j): nonlocal answer if j == len(jobs): answer = min(answer, max(time)) return for i in range(k): if time[i] + jobs[j] <= answer: time[i] += jobs[j] recurse(j+1) time[i] -= jobs[j] if time[i] == 0: break recurse(0) return answer


First Name
Last Name
DoB
School
E-Mail
Tries
(1st cipher)
Success?
Tries
(2nd cipher)
Success?
Clear Records
Save text to file


|
BL3 SDK
0.0.1
Borderlands 3 Class Documentation
|
#include <BL3_Paper2D_classes.hpp>
Static Public Member Functions | |
| static UClass * | StaticClass () |
| Static Public Member Functions inherited from UObject | |
| static FChunkedFixedUObjectArray & | GetGlobalObjects () |
| template<typename T > | |
| static T * | FindObject (const std::string &name) |
| static UClass * | FindClass (const std::string &name) |
| template<typename T > | |
| static T * | GetObjectCasted (std::size_t index) |
| static UClass * | StaticClass () |
Public Attributes | |
| int | MapWidth |
| int | MapHeight |
| int | TileWidth |
| int | TileHeight |
| float | PixelsPerUnrealUnit |
| float | SeparationPerTileX |
| float | SeparationPerTileY |
| float | SeparationPerLayer |
| TSoftObjectPtr< class UPaperTileSet > | SelectedTileSet |
| class UMaterialInterface * | Material |
| TArray< class UPaperTileLayer * > | TileLayers |
| float | CollisionThickness |
| TEnumAsByte< ESpriteCollisionMode > | SpriteCollisionDomain |
| TEnumAsByte< ETileMapProjectionMode > | ProjectionMode |
| unsigned char | UnknownData00 [0x2] |
| int | HexSideLength |
| unsigned char | UnknownData01 [0x4] |
| class UBodySetup * | BodySetup |
| int | LayerNameIndex |
| unsigned char | UnknownData02 [0x4] |
| Public Attributes inherited from UObject | |
| void * | VTableObject |
| int32_t | ObjectFlags |
| int32_t | InternalIndex |
| class UClass * | Class |
| FName | Name |
| class UObject * | Outer |
Additional Inherited Members | |
| Public Member Functions inherited from UObject | |
| std::string | GetName () const |
| std::string | GetFullName () const |
| bool | IsA (UClass *cmp) const |
| void | ProcessEvent (class UFunction *function, void *parms) |
| void | ExecuteUbergraph (int EntryPoint) |
| Static Public Attributes inherited from UObject | |
| static FUObjectArray * | GObjects |
|
inlinestatic |
| class UBodySetup* BodySetup |
| float CollisionThickness |
| int HexSideLength |
| int LayerNameIndex |
| int MapHeight |
| int MapWidth |
| class UMaterialInterface* Material |
| float PixelsPerUnrealUnit |
| TEnumAsByte<ETileMapProjectionMode> ProjectionMode |
| TSoftObjectPtr<class UPaperTileSet> SelectedTileSet |
| float SeparationPerLayer |
| float SeparationPerTileX |
| float SeparationPerTileY |
| TEnumAsByte<ESpriteCollisionMode> SpriteCollisionDomain |
| int TileHeight |
| TArray<class UPaperTileLayer*> TileLayers |
| int TileWidth |
| unsigned char UnknownData00[0x2] |
| unsigned char UnknownData01[0x4] |
| unsigned char UnknownData02[0x4] |


Ex-PSV star Adam Maher advises Myron Boadu on transfer amid AC Milan rumours
Former PSV Eindhoven star Adam Maher has called on Myron Boadu to continue his development at a less prestigious club amid AC Milan rumours ahead of the January transfer window.
The 18-year-old has been identified as a transfer target for the Rossoneri in the forthcoming window following his scintillating display for AZ Alkmaar in the ongoing season.
Adam Maher is however trying to save the career of his former AZ Alkmaar teammate Boadu from the same mistakes he made in his career, advising him that it's too early to depart the club to a bigger European club.
Maher made his professional debut for AZ on 15 December 2010 in a 2010–11 UEFA Europa League game against FC BATE Borisov and scored a goal on his debut. He was the youngest player playing for a Dutch football club ever to score a goal in the Europa League and UEFA Cup.
In 2013, Maher moved to PSV for a fee of €6.5 million, scoring 12 goals in 72 appearances for the Philip Stadion outfit.
Maher had an unsuccessful second spell at AZ during the 2018/2019 season, before joining FC Utrecht in the summer of 2019.
At AZ Alkmaar last season, Maher took the young Boadu under his wing. Even now that Maher plays at Utrecht, he continues to provide advice to the brand new Dutch international: "It is so beautiful that he can go to the big Orange, I really wish him that," Maher tells the newspaper.
He wants to protect Boadu and other talents from the mistakes he has made, such as a too early switch to a larger club. "That's why I'm trying to alert boys to the choices they make."
Boadu has scored 9 goals in 13 Dutch Eredivisie games and provided 4 assists.
He has also netted a further 6 goals in 10 Europa League matches including the qualifying round.


Customize what standard attributes you want to use:
Customize what custom attributes you want to use:


Loan payments are calculated according
to a non-homogeneous linear recurrance relation. The balance owed on a
loan is called
principal. The charge for the borrowed money is called
interest,
and it is calculated as a percentage of the principal. Interest is typically
published according to an annual rate, although it may be charged on a
monthly basis.
If we let P be the initial loan principal,
and let R be the annual interest rate, and let N be the number
of months over which the loan is to be repaid, then we can calculate the
monthly payment M according to the following formula:
Each month when a loan payment is made, therefore,
a portion of the payment is applied to interest while the remainder is
applied to principal. If the principal balance in month n is Pn,
then the interest amount levied that month is (R/12) * Pn.
Banks and tax accountants are keenly interested (heh, heh) in knowing how
much money each month is applied to each category.
Write a program to calculate loan payments
and display an amortization schedule. |


Warehouse Keeper Holvas:
The manuscript pieces are 30 pages in total...
Go to the execution ground and
eliminate the Amber Basilisk, Strain, Ghoul, Granite Golem, Corpse Pursuer and Hanged Man Ripper. Please gather the pieces of the manuscript and bring them to me as quickly as you can...


Application for visualizing High Energy Physics data.
Get started with the different Phoenix features.
This test should show some simple geometry.
Show the ATLAS detector. One simple event.
Show the LHCb detector. One simple event.
Show the CMS detector. One simple event.
Visualisation for TrackML. Shows how to write a custom event loader.


This is designed to take a simple static html website (like this one) and turn any code it finds into interactive editors. This page is intended to be a demo of that functionality so is more descriptive and uses jupyterlite.
For additional, very static and more specific, html examples, see the table at the bottom of the page.
thebe
can be configured by adding a script tag to your web page with an
options object, that will be loaded by the `bootstrap` function.
By default this demo used the pyodide
WASM kernel with
jupyterlite
but you can also configure it to use
a local jupyter server or the
mybinder.org service.
Configuration for jupyterlite
is simply:

By adding the following tags to the page, once loaded, thebe
will add default
UI elements to the page (these are customisable by css).

These should appear below 👇
The following code snippet has been marked as

meaning
thebe will turn it into an editor when activated!
Note: this is quite a lot of code, thanks because it's producing the excellent Lorentz Attractor plot - taken from the ipywidgets documentation.
%pip install ipywidgets import numpy as np import matplotlib.pyplot as plt %matplotlib inline from ipywidgets import interact, interactive from IPython.display import clear_output, display, HTML import numpy as np from scipy import integrate from matplotlib import pyplot as plt from mpl_toolkits.mplot3d import Axes3D from matplotlib.colors import cnames from matplotlib import animation def solve_lorenz( N=10, angle=0.0, max_time=4.0, sigma=10.0, beta=8./3, rho=28.0): fig = plt.figure() ax = fig.add_axes([0, 0, 1, 1], projection='3d') ax.axis('off') # prepare the axes limits ax.set_xlim((-25, 25)) ax.set_ylim((-35, 35)) ax.set_zlim((5, 55)) def lorenz_deriv(x_y_z, t0, sigma=sigma, beta=beta, rho=rho): """Compute the time-derivative of a Lorenz system.""" x, y, z = x_y_z return [sigma * (y - x), x * (rho - z) - y, x * y - beta * z] # Choose random starting points, uniformly distributed from -15 to 15 np.random.seed(1) x0 = -15 + 30 * np.random.random((N, 3)) # Solve for the trajectories t = np.linspace(0, max_time, int(250*max_time)) x_t = np.asarray([integrate.odeint(lorenz_deriv, x0i, t) for x0i in x0]) # choose a different color for each trajectory colors = plt.cm.viridis(np.linspace(0, 1, N)) for i in range(N): x, y, z = x_t[i,:,:].T lines = ax.plot(x, y, z, '-', c=colors[i]) plt.setp(lines, linewidth=2) ax.view_init(30, angle) plt.show() return t, x_t w = interactive(solve_lorenz, angle=(0.,360.), max_time=(0.1, 4.0), N=(0,50), sigma=(0.0,50.0), rho=(0.0,50.0)) display(w)
Follow the links in the table to check out minimal examples of thebe
in
different configurations, in each case "view source" to see how each is configured.
| demo | description |
|---|---|
| Running on a local jupyter server | simple plots |
| ipywidgets examples | |
| math rendering | |
| Using JupyterLite with the pyodide kernel | simple plots |
| ipywidget examples | |
| Running on mybinder.org | simple Plots |
| ipywidgets examples |
Some of the demos require you to run a jupyter server on your machine, which is pretty easy if you are a regular jupyter user.
If needed, setup a new virtual environment using the requirements.txt file here.
python -m venv thebe-env source thebe-env/bin/activate python -m pip install -r requirements.txt python -m pip install jupyterlab
Then start a jupyter server using the command:
jupyter lab --NotebookApp.token=test-secret --NotebookApp.allow_origin='*'


Node.js v0.10.7 Manual & Documentation
Table of Contents
Global Objects#
These objects are available in all modules. Some of these objects aren't actually in the global scope but in the module scope - this will be noted.
global#
- {Object} The global namespace object.
In browsers, the top-level scope is the global scope. That means that in
browsers if you're in the global scope var something
will define a global
variable. In Node this is different. The top-level scope is not the global
scope; var something
inside a Node module will be local to that module.
process#
- {Object}
The process object. See the process object section.
console#
- {Object}
Used to print to stdout and stderr. See the stdio section.
Class: Buffer#
- {Function}
Used to handle binary data. See the buffer section
require()#
- {Function}
To require modules. See the Modules section. require
isn't actually a
global but rather local to each module.
require.resolve()#
Use the internal require()
machinery to look up the location of a module,
but rather than loading the module, just return the resolved filename.
require.cache#
- Object
Modules are cached in this object when they are required. By deleting a key
value from this object, the next require
will reload the module.
require.extensions#
Stability: 0 - Deprecated
- Object
Instruct require
on how to handle certain file extensions.
Process files with the extension .sjs
as .js
:
require.extensions['.sjs'] = require.extensions['.js'];
Deprecated In the past, this list has been used to load non-JavaScript modules into Node by compiling them on-demand. However, in practice, there are much better ways to do this, such as loading modules via some other Node program, or compiling them to JavaScript ahead of time.
Since the Module system is locked, this feature will probably never go away. However, it may have subtle bugs and complexities that are best left untouched.
__filename#
- {String}
The filename of the code being executed. This is the resolved absolute path of this code file. For a main program this is not necessarily the same filename used in the command line. The value inside a module is the path to that module file.
Example: running node example.js
from /Users/mjr
console.log(__filename);
// /Users/mjr/example.js
__filename
isn't actually a global but rather local to each module.
__dirname#
- {String}
The name of the directory that the currently executing script resides in.
Example: running node example.js
from /Users/mjr
console.log(__dirname);
// /Users/mjr
__dirname
isn't actually a global but rather local to each module.
module#
- {Object}
A reference to the current module. In particular
module.exports
is the same as the exports
object.
module
isn't actually a global but rather local to each module.
See the module system documentation for more information.
exports#
A reference to the module.exports
object which is shared between all
instances of the current module and made accessible through require()
.
See module system documentation for details on when to use exports
and
when to use module.exports
.
exports
isn't actually a global but rather local to each module.
See the module system documentation for more information.
See the module section for more information.
setTimeout(cb, ms)#
Run callback cb
after at least ms
milliseconds. The actual delay depends
on external factors like OS timer granularity and system load.
The timeout must be in the range of 1-2,147,483,647 inclusive. If the value is outside that range, it's changed to 1 millisecond. Broadly speaking, a timer cannot span more than 24.8 days.
Returns an opaque value that represents the timer.
clearTimeout(t)#
Stop a timer that was previously created with setTimeout()
. The callback will
not execute.
setInterval(cb, ms)#
Run callback cb
repeatedly every ms
milliseconds. Note that the actual
interval may vary, depending on external factors like OS timer granularity and
system load. It's never less than ms
but it may be longer.
The interval must be in the range of 1-2,147,483,647 inclusive. If the value is outside that range, it's changed to 1 millisecond. Broadly speaking, a timer cannot span more than 24.8 days.
Returns an opaque value that represents the timer.
clearInterval(t)#
Stop a timer that was previously created with setInterval()
. The callback
will not execute.
The timer functions are global variables. See the timers section.


Structure that holds all of the available texture map look-up options. More...
#include <ai_texture.h>
Data Fields | |
| int | filter |
| texture look-up mode | |
| int | mipmap_mode |
| mode for mipmap blending and filtering | |
| int | mipmap_bias |
| mipmap level bias | |
| bool | single_channel |
| treat image as single channel | |
| AtByte | start_channel |
| starting channel index to read from | |
| float | fill |
| value for nonexistent channels (e.g. More... | |
| bool | flip_s |
| flip S coordinate | |
| bool | flip_t |
| flip T coordinate | |
| bool | swap_st |
| enable swapping of S and T coordinates | |
| float | scale_s |
| scale S coordinate | |
| float | scale_t |
| scale T coordinate | |
| int | wrap_s |
| wrap mode for S coordinate | |
| int | wrap_t |
| wrap mode for T coordinate | |
| float | width_s |
| multiplicative widening of look-ups on the S axis | |
| float | width_t |
| multiplicative widening of look-ups on the T axis | |
| float | blur_s |
| additive blur in look-ups along the S axis | |
| float | blur_t |
| additive blur in look-ups along the T axis | |
Structure that holds all of the available texture map look-up options.
| float AtTextureParams::fill |
value for nonexistent channels (e.g.
alpha)


Cyclic File Encryption
Actual Game of Life Algorithm...
Please view this in a modern browser such as Google Chrome, Firefox, or Safari.
Play/Stop
1 Step
How the state evolves and encrypts the image...


Previous: Deprecated Variables, Up: Deprecated Language Features
The #S reader macro forces keyword names into the KEYWORD package; see Sharpsign S. This feature is deprecated; in the future, keyword names will be taken in the package they are read in, so symbols that are actually in the KEYWORD package should be used if that is what is desired.


ClogAgent
关于ClogAgent »
this project is for ctrip internal tools,help everyone to handle log interface more efficiently.
Just start »


--- layout: post title: Dan Benjamin interviewed by the Rails Podcast categories: - sightings author: David published: true date: 2005-12-08 22:54:01.000000000 +00:00 ---
Dan Benjamin is the developer behind A List Apart. Geoffrey Grosenbach caught up with him for a chat about building high-traffic sites on Rails and launching ALA. Listen to the latest Rails Podcast. Catch episodes you may have missed in the archives.


whether to enable long stack trace. They should only be enabled in development mode as they significantly impact perf.
Whether there are any outstanding asynchronous tasks of any kind that are scheduled to run within Angular zone.
Useful as a signal of UI stability. For example, when a test reaches a
point when [hasPendingAsyncTasks] is false
it might be a good time to run
test expectations.
Whether there are any outstanding microtasks.
Whether there are any outstanding timers.
Notifies subscribers immediately after the final onTurnDone
callback
before ending VM event.
This event is useful for validating application state (e.g. in a test).
Notifies subscribers immediately after Angular zone is done processing the current turn and any microtasks scheduled from that turn.
Used by Angular as a signal to kick off change-detection.
Notifies subscribers just before Angular event turn starts.
Emits an event once per browser task that is handled by Angular.
Sets the zone hook that is called when an error is thrown in the Angular zone.
Setting the hook overrides any previously set hook.
Sets the zone hook that is called immediately after the onTurnDone
callback is called and any
microstasks scheduled from within that callback are drained.
onEventDoneFn
is executed outside Angular zone, which means that we will no longer attempt to
sync the UI with any model changes that occur within this callback.
This hook is useful for validating application state (e.g. in a test).
Setting the hook overrides any previously set hook.
Sets the zone hook that is called immediately after Angular zone is done processing the current task and any microtasks scheduled from that task.
This is where we typically do change-detection.
The hook is called once per browser task that is handled by Angular.
Setting the hook overrides any previously set hook.
Sets the zone hook that is called just before a browser task that is handled by Angular executes.
The hook is called once per browser task that is handled by Angular.
Setting the hook overrides any previously set hook.
Executes the fn
function synchronously within the Angular zone and returns value returned by
the function.
Running functions via run
allows you to reenter Angular zone from a task that was executed
outside of the Angular zone (typically started via {@link #runOutsideAngular}).
Any future tasks or microtasks scheduled from within this function will continue executing from within the Angular zone.
Executes the fn
function synchronously in Angular's parent zone and returns value returned by
the function.
Running functions via runOutsideAngular
allows you to escape Angular's zone and do work that
doesn't trigger Angular change-detection or is subject to Angular's error handling.
Any future tasks or microtasks scheduled from within this function will continue executing from outside of the Angular zone.
Use {@link #run} to reenter the Angular zone and do work that updates the application model.
Generated using TypeDoc
An injectable service for executing work inside or outside of the Angular zone.
The most common use of this service is to optimize performance when starting a work consisting of one or more asynchronous tasks that don't require UI updates or error handling to be handled by Angular. Such tasks can be kicked off via {@link #runOutsideAngular} and if needed, these tasks can reenter the Angular zone via {@link #run}.
Example (live demo)
``` import {Component, View, NgZone} from 'angular2/core'; import {NgIf} from 'angular2/common';
({ selector: 'ng-zone-demo'. template: `
Demo: NgZone
<p>Progress: {{progress}}%</p> <p *ngIf="progress >= 100">Done processing {{label}} of Angular zone!</p> <button (click)="processWithinAngularZone()">Process within Angular zone</button> <button (click)="processOutsideOfAngularZone()">Process outside of Angular zone</button>
`, directives: [NgIf] }) export class NgZoneDemo { progress: number = 0; label: string;
constructor(private _ngZone: NgZone) {}
// Loop inside the Angular zone // so the UI DOES refresh after each setTimeout cycle processWithinAngularZone() { this.label = 'inside'; this.progress = 0; this._increaseProgress(() => console.log('Inside Done!')); }
// Loop outside of the Angular zone // so the UI DOES NOT refresh after each setTimeout cycle processOutsideOfAngularZone() { this.label = 'outside'; this.progress = 0; this._ngZone.runOutsideAngular(() => { this._increaseProgress(() => { // reenter the Angular zone and display done this._ngZone.run(() => {console.log('Outside Done!') }); }})); }
_increaseProgress(doneCallback: () => void) { this.progress += 1; console.log(
Current progress: ${this.progress}%
);if (this.progress < 100) { window.setTimeout(() => this._increaseProgress(doneCallback)), 10) } else { doneCallback(); }
} } ```


If the extension only has a single element (ie is a simple extension) then only the datatype/s are needed.
The code element and description will be ignored. If the extension is complex (has more than one element) then
the code and description are required.


This is the group that you are a member of.
Please enter your current and a new password to change your password.


A self-driven, enthusiastic developer who deeply cares about bridging the gap between business goals and user needs.
- Professional
- - Currently I work in Amazon, Seattle as a Development Engineer
- Personal
- - I live in Bellevue, and I drive to office everyday.
- - My favorite number is 10.


Want to take ties with India to high levels: Rajapaksa
Sri Lankan president Gotabaya Rajapaksa seeks to take Sri Lanka-India relationship to 'very high level'
by PTISri Lankan President Gotabaya Rajapaksa on Friday said he would strive to take his country's relationship with India to a "very high level".
He also said both India and Sri Lanka need to work together on issues related to security and overall welfare of the people of the two countries.
Rajapaksa was speaking to reporters after a ceremonial welcome at the forecourt of the Rashtrapati Bhavan.


Trouble shooting test site
This site is used to gauge your ability to troubleshoot existing applications.


Light Alarm Clock Project
The purpose of this project to to build an alarm clock to replace my 25 year old one (that I've worn out the
snooze button on).
This replacement will be designed for better sleep hygiene. I'd like to incorporate the following features:
- The alarm will have an array of RGB LED's that will gradually brighten the room before the alarm goes off.
- The time display will be an turned off in the dark to reduce light sources in the bedroom.
- The buttons will be capacitive.
- Most settings and controls will be accessed through a web interface rather than the front panel.
- Support for multiple alarms.
- RTC battery backup.
Some other features I'd like to add:
- I'd like to use an E-ink display, simply because I think they are easy on the eyes.
- The display will have external "Clapper" style illumination for when the time needs to be read in the dark.
- As an option, the alarm can be turned off by playing a Simon style game.
- The web interace will allow the user to program in a light show using the RGB LED's
- NTP time setting.
Progress


About
Contact
FAQ
Contact
Complete Name
Main Email
Celphone
Subject
Message
Send
St. Sal Carlo, 232. All Village - EUA


this text has lan attribute = en-us(english - united states
this text has lan attribute = en-in(english - indian)
this text has lan attribute = fr(france)
this text has lan attribute = it(italy)


Today after i installed your plugin on Chrome i always got kicked for "MD5 queries" after 3-4 min.
After i deinstalled the plugin everything was ok again.
Maybe you could take a look, because i really like your plugin.
Thanks
BrainFooLong
Administrator
BBLOG is not the web plugin from battlelog, its a Addon. So bblog does not affect any game related stuff. Goto EA support for yiur question.
 Ignoring MD5 queries means that Punkbuster cannot scan the MD5's on the local client game folder so Punkbuster kicks the client to make him fix the problem. It has nothing to do with Better Battlelog. Some people say that you need to update Punkbuster manually. Others say that it's a known bug from PBBans.
You can turn Better Battlelog on again (if you still want) I think it was coincidence that it stops kicking you after you disabled the addon.
Regards.
Topicstarter
Guest
I have already updated my Punkbuster manually.
I could only play after i deinstalled the BBLog plugin.
Today i tried to install it again and again i started to get kicked.
I could play again after i deinstalled ist it.
I have tested today this 2x times and always the same problem.
BBLog @ Chrome (newest version)
Intalled = kicked
Deinstalled = no problem at all.
BrainFooLong
Administrator
Ok, if you think its bblog, keep it deinstalled.
We can say that BBLog does 100% not affect the game itself, because its simple impossible (technically).
Greetz


(Insert 1-2 paragraphs of cousre intro)
Click on the "Next" button on the tab strip at the top of this page, or use the right-arrow below to move to the next page.
The Office of the Vice Provost for Advances in Learning (VPAL) creates and catalyzes deeply engaging and scalable learning experiences that make a difference at Harvard and beyond.
VPAL is committed to convening and nurturing a diverse community dedicated to promoting inclusive excellence and leadership in teaching and learning. We celebrate, welcome, and honor all backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values. We strive to ensure that all feel included in our mission, our work, and our learning inside and outside our organization. We affirm that inclusivity and belonging are the foundations of excellence.


{% load staticfiles %}
Neighbors
The Title or Explanation of your Map
0 - 20%
40%
60%
80%
100%
Source:
Name of source


Script failed to load.
Was the google closure compilation clean? If so...
Please check the browser console for diagnostics.


private fun sendResult(): Unit
Sends the correct result back to where this activity was invoked from, and finishes the activity.
An "ok" result will be used if the tree has been modified, otherwise a "cancelled" result.
See Also
android.app.Activity.RESULT_OK
android.app.Activity.RESULT_CANCELED


Photography
Faces
Here will be text about photos under title
Who Would Have Known
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Lines
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Swedish PHP developers
PHP Sweden is a non-profit organization that want to bring togheter the Swedish PHP community. We are working to increase the knowledge and usage of PHP and to help and teach each other. PHP Sweden started in 2012 under the name Symfony Sweden but the name was changed 2016 because we wanted to include the wider PHP-community.
Since we started, we've hosted over 50 meetups in Stockhom and Gothenburg. We have also organized two conferences; November camp 2013 and November Camp 2014. At the time of writing we have over 900 members in our meetup groups. If you are interested in joining us on our meetups you should check out or pages at meetup.com: PHP Göteborg and PHP Stockholm.
Like all proper organization we have board meetings and annual meetings for all the members. Here are some good documents:
The current board of directors are:
| Position | Name |
|---|---|
| President | Tobias Nyholm |
| Board members | Daniel Kolvik Magnus Nordlander Nicholas Ruunu |
| Auditor | Jon Gotlin |
| Election comittee | Jon Gotlin Rickard Bennison |
If you agree with our mission and would like to join us, you are very much welcome to.
Beeing a member includes the following perks:
Applying to a membership is easy. Just send a PR to our membership repository with some details about yourself. On our latest annual meeting we decided that all memberships should be free.
If you want someting changed, removed or if you want PHP Sweden to do or be something more. Please add an issue to our motions repository. Motions must be submitted at least 4 weeks before the annual meeting.
If you have any questions, comments, feedback please open an issue. If you have found a typo or want to add something on this page then send us a PR.


{% block content %}
I have experience in C-family languages. I have even worked with people who were in different time-zones with a home-office system. Thus, I am suitable for both classic and home-office system. I am currently improving myself to be better in game development.
{% endblock %}


Co-op looking for new board member
by Lucy TodmanThe Co-op, which has 40,000 members in Shropshire, is offering members with proven experience at board level a unique opportunity to stand for election to its main Group Board.
This year there is one vacancy for a Member Nominated Director (MND) to join the Co-op Board of Directors.
Giving members a voice in the boardroom, the role combines overseeing commercial and financial performance with ensuring that Co-op’s unique values and principles are front and centre in everything it does.
It’s an opportunity for members to join an experienced and high calibre board that is committed to ensuring that one of the world’s largest consumer co-ops continues to deliver on its exciting plans for the future.
Adrienne Lowe, from the Members’ Council who chairs the joint MND Nominations Committee, said: “This is a fantastic opportunity for Co-op members to have their voice heard in the boardroom. Having our members on our board is part of our Co-op difference – it sets us apart from other investor-owned businesses.”
Candidates can find information on how to apply at co-operative.coop/mndelection and have until December 18 to put themselves forward.


A set of 9 Jupyter notebooks as tutorials to explain how to use Tensorflow Eager! The code is extremely clear and clean. It also shows how to make the best of the whole Keras API which is now ubiquitous in modern Tensorflow.
DeepMind keeps bringing some insane stuff. Imagine a 3d-rendered scene (with a ball and a square placed somewhere on the ground) and take two pictures of this scene, from different viewpoints. Give these images to an agent. And now query the agent by asking it to generate the image corresponding to a novel viewpoint. That's exactly what this paper is all about. From a limited number of viewpoints, the agent learns a representation of the scene, such that it is virtually (or mentally) able to move around in the scene. By doing so, it implies the agent has learned relationship between objects (distances, shapes, colors) as well as physical/optical properties of the world (occllusions, illumination, shadows). Highly recommend to check out the article as well as the presentation video. It's breathtaking!!
Authors make the quite shocking observation that modern deep learning architectures are NOT invariant to translation. They explain that this is due to the subsampling operation (generally called stride with CNNs) which is often greater than 1 in modern deep net architectures; besides not being coupled with a pooling operation. As a result, the neural network is not invariant to any translation, but by translations which are multiples of the overall stide. In essence, this means that by shifthing an image by just 1 pixel can result in a completely different network output.
This work proposes an object relation module. It processes a set of objects simultaneously through interaction between their appearance feature and geometry, thus allowing modeling of their relations. It is lightweight and in-place. It does not require additional supervision and is easy to embed in existing networks. It is shown effective on improving object recognition and duplicate removal steps in the modern object detection pipeline. It verifies the efficacy of modeling object relations in CNN based detection. It gives rise to the first fully end-to-end object detector.
The novelty of this paper is that it proposes a single model to multiple multiple types of image-to-image translation (i.e. transfer to different domains). Being able to handle multiple domains has been a challenge or a while with GANs. The immediate benefit is that training can be done using multiple types of datasets; in the paper, the example presented is one dataset for gender/hair color and the other for facial emotion. An implemenation is given here.
This is another set of tutorials for deep reinforcement learning.
In this article, authors explain how they significatively improved performance over SOTA on a variety of NLP benchmarks. Interestingly, the key is not a better model or a clever trick but rather a better initialization. More precisely, 8 GPUs worked for a month on a very large corpus of texts to train a model in an unsupervised manner. Fine tuning from there leads to impressive improvement compared to training from a random initialization (~+55% relative performance for question answering, for example). I particularly liked that they were open and direct on the drawbacks of their method as well as the remaining open questions.
Hey, know what? I started mentioning this article at the beginning of the week. And by Friday, we already have some open-source implementations available: here.
A compilation of the best GitHub projects that provide a pre-trained model, with a nice Bootstrap interface. Projects can be categorized by framework and application. It's pretty neat as a way to skim through available models. However, for downloading and implementing the model, you'll still have to go to the corresponding GitHub page.
I really love the intersection between ML and arts. Here, a process called Computational Pattern Producing networks is used to generate abstract color images from a randomly initialised neural network. The idea seems extremely simple: we give a network some coordinates (x, y) and it outputs 3 values (r, g, b) (or similar for another color-encoding scheme) which we can display as an image. The Computational Pattern Producing pattern appears to be an iterative process whereby the produced image gets refined and sharpened in several steps. The results are quite surprising I have to say. A great source for psychedelic visuals. :) The author uses Tensorflow JS so you can create your own visuals directly in-the-browser. Additional links are included if you want to learn more about Computation Pattern Producing Networks.


Static arrays
Model: {{selected | json}}
Asynchronous results
Model: {{asyncSelected | json}}
Custom templates for results
Model: {{customSelected | json}}
Custom templates for results popup
Model: {{customSelected | json}}


Add New Battery
Add New Battery
Batteries
Title
Disabled
Description
Actions
False
False
Edit
False
False
False
False
False
Help
Welcome Last Name, First Name | Logout
* This wireframe provide the workflow, the structure, and the interaction between some specific pages and sections in the eScreening project and it's covered all the interaction between the application features and behaviours.
* Some of the interaction between pages may require using a specific rules and steps in order to demonstrate.
* This wireframe still in progress.
IMPORTANT NOTE - Click to Expand
U.S. Department of Veterans Affairs | eScreening Health Assessment (Ver 1.0)
10
25
50
100


Just go there and provision a bunch of new machines. And please remember to take them down once the spike is over!
But our systems were not making use of this elasticity...
Revamp the provisioning process.
When you're auto-scaling to meet real time customer demand, you can't waste any time.
k mint spi -b SPI-Bundle-RELEASE-1.5.370-NSDK-<IP_ADDRESS>
{
"environment" : "production",
"role" : "thumbnailer"
}
A separate script reads the user data, calls Chef using the given role and environment. Instance gets configured and services are ready to action.
This is where it gets interesting.
It has to be in CloudWatch but you can push anything there. Using a metric that is already provided by AWS is always simpler.
Alarms trigger actions when their threshold is met.
"ScaleUpWorkerAlarm": {
"Type": "AWS::CloudWatch::Alarm",
"Properties": {
"AlarmDescription": "Scale-Up if queue depth exceeds our limit",
"Namespace": "AWS/SQS",
"MetricName": "ApproximateNumberOfMessagesVisible",
"Dimensions": [
{
"Name": "QueueName",
"Value": "MyQueue"
}
],
"Statistic": "Average",
"Period": "60",
"EvaluationPeriods": "3",
"Threshold": 100,
"ComparisonOperator": "GreaterThanThreshold",
"AlarmActions": [
{
"Ref": "WorkerScaleUpPolicy"
}
]
}
}
"WorkerScaleUpPolicy": {
"Type": "AWS::AutoScaling::ScalingPolicy",
"Properties": {
"AdjustmentType": "ChangeInCapacity",
"AutoScalingGroupName": {
"Ref": "WorkerAutoScalingGroup"
},
"Cooldown": 300,
"ScalingAdjustment": 1
}
}
Metrics, alarms and policies work together to make your auto-scaling group grow or shrink as needed. You can have as many alarms, metrics and policies as you want, just make sure they actually represent how you want your app to grow.
Resource creation was all over the place, now only CloudFormations do it.
Now you just open the CloudFormations associated with it and it should be there.
Templates must include their own security policies and allow access only to resources they themselves create, using IAM (Identity and Access Management) profiles.
The service went from being manually provisioned and scaled to a full fledged auto-scaling solution. It now runs at 1/2 of the original cost and served as an example for all new services being created.
and being bitten every once in a while.
If AWS can generate a name for it, do not name it. Use CloudFormation outputs to get their names.
If you really need to do it make sure the dependency tree is shallow or you will have trouble.
Don't place your RDS database at the same template as your webapp auto-scaling group.
And make sure these tools understand how to name stacks and validate parameters.
k cfn id2 server update -e qa -c neat
Whenever you want to deploy something, scale up the group that is not currently scaled and then scale down the one that was.
Yes, I'm repeating this.
We're all humans, send notifications for more than one threshold to make sure they won't be snoozed into oblivion.

Want to figure out what will change between the current template and the one deployed? Run it. If Justin Campbell was here he would say Terraform has diffs.
You'll be in for a lot of trouble.
But are tools to use other languages like Python or Ruby to declare templates.
S3 notifications still don't have all the options available at the console/API.

Problemns? Open a ticket and wait.
Check what we did at https://github.com/TheNeatCompany/cfn-bridge
We already have the numbers and the usage patterns are quite consistent, scaling up based on time means customers wait even less when they actually start to use the app.
While all new apps have moved to CF-based setups, our monolith is still work in progress, but we will get there.
Right now the health checks are rudimentar and not very effective and spotting instances that are misbehaving.


--- layout: newsstory title: News Story match: Kings Lynn 0 Yeltz 0 ---
The goal drought (in the league anyway) continues with yet another 0-0 draw, this time away at King's Lynn. Once again we were very solid at the back, but to be honest we never looked like scoring. Forest Green stuff Gresley 5-1, and are beginning to pull away at the top.