Effective date: May 17, 2019
E-Logistics ("us", "we", or "our") operates the http://www.elogistics.com website (the "Service").
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We do not knowingly collect personally identifiable information from anyone under the age of 18. If you are a parent or guardian and you are aware that your Children has provided us with Personal Data, please contact us. If we become aware that we have collected Personal Data from children without verification of parental consent, we take steps to remove that information from our servers.
We may update our Privacy Policy from time to time. We will notify you of any changes by posting the new Privacy Policy on this page.
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Utils
Utility Methods
Static Method Summary
| Static Public Methods | ||
| public static |
getComponent($ref: *, schema: *): * |
|
| public static |
getLookupQuery(model: *) |
|
| public static |
getRequestParamsSchema(operation: *) |
|
| public static |
getRequestSchema(operation: *): * Retrieves schema or schema ref for operation request |
|
| public static |
getResponseSchema(operation: *): * |
|
| public static |
getSchemaRef(content: *): boolean | string | object |
| Static Private Methods | ||
| private static |
createReference(model: *, collection: *): * TODO: remove if defunct/unused |
|
| private static |
deriveSchema(schema: *, scopeSchema: *): * Attempts to derive model schema from GET response |
|
| private static |
derivefromElement(elPath: *): * Attempts to derive model schema from element |
Constructor Summary
| Public Constructor | ||
| public |
constructor($scope: *) |
Member Summary
| Public Members | ||
| public get |
apiOptions: *: * Helper Method returns REST Request Headers from Config |
|
| public get |
Returns true if polyfill is set on |
Method Summary
| Public Methods | ||
| public |
createRequestId(target: *, type: *): string generates unique Request ID |
|
| public |
parseDate(iso8601: *): * Implementation of Parse._parseDate used to parse iso8601 UTC formatted |
|
| public |
Returns passes object as Key/Value paired string |
|
| public |
validateRoute(route: *): boolean |
Static Public Methods
public static getComponent($ref: *, schema: *): * source
Params:
| Name | Type | Attribute | Description |
| $ref | * | ||
| schema | * |
Return:
| * | Object | null |
public static getLookupQuery(model: *) source
Params:
| Name | Type | Attribute | Description |
| model | * |
public static getRequestParamsSchema(operation: *) source
Params:
| Name | Type | Attribute | Description |
| operation | * |
public static getRequestSchema(operation: *): * source
Retrieves schema or schema ref for operation request
Params:
| Name | Type | Attribute | Description |
| operation | * |
Return:
| * |
public static getResponseSchema(operation: *): * source
Params:
| Name | Type | Attribute | Description |
| operation | * |
Return:
| * |
public static getSchemaRef(content: *): boolean | string | object source
Params:
| Name | Type | Attribute | Description |
| content | * |
Static Private Methods
private static createReference(model: *, collection: *): * source
TODO: remove if defunct/unused
Params:
| Name | Type | Attribute | Description |
| model | * | ||
| collection | * |
Return:
| * |
private static deriveSchema(schema: *, scopeSchema: *): * source
Attempts to derive model schema from GET response
Params:
| Name | Type | Attribute | Description |
| schema | * | ||
| scopeSchema | * |
Return:
| * |
private static derivefromElement(elPath: *): * source
Attempts to derive model schema from element
Params:
| Name | Type | Attribute | Description |
| elPath | * |
Return:
| * |
Public Constructors
public constructor($scope: *) source
Params:
| Name | Type | Attribute | Description |
| $scope | * |
Public Members
Public Methods
public createRequestId(target: *, type: *): string source
generates unique Request ID
Params:
| Name | Type | Attribute | Description |
| target | * | ||
| type | * |
public parseDate(iso8601: *): * source
Implementation of Parse._parseDate used to parse iso8601 UTC formatted datetime
Params:
| Name | Type | Attribute | Description |
| iso8601 | * |
Return:
| * |


Chelsea Stephenson's culinary journey began almost 11 years ago when she first enrolled in the Young Chef Summer program.
Though she did not pursue cooking formally she still attended Chef Panton's class's summer after summer perfecting her skills in the kitchen.
She now works with the summer program helping others realise their own passion for all things food.
Chelsea enjoys all cuisine, but if she had to pick a favourite it would definitely be Indian food because of how flavourful it can be.
Currently she attends the University of the West Indies, however still continues working with Young Chef's in the summer months as well as is a Chefs Assistant on the Young Chefs Cooking Challenge.
Joniann Jame's culinary career started at the Jose Marti Technical High School where she discoved her love for cooking.
She went on to pursue her career by enrolling in the HEART Commercial Food Preparation level one at the Phillipo Baptist Skills Training Centre and then on to Boy's Town Vocational Training Centre where she completed HEART Food Preparation level two.
Joniann is currently a chef's assistant with Delicious Occasions Cooking Classes and a Commis Chef with Delicious Occasions Catering.


- canAccess(User) - Method in class it.azraelsec.Document.Document
-
Verifies if the requesting User
has permissions to access this Document
.
- CDAManager - Class in it.azraelsec.Chat
-
The CDAManager
class is a Chat Dynamic Address Manager and its task is to
dynamically generate and assign multicast IPv4 addresses when the Server
needs it.
- CDAManager() - Constructor for class it.azraelsec.Chat.CDAManager
-
Initializes the ChatMessage
internal ConcurrentHashMap
- ChatMessage - Class in it.azraelsec.Chat
-
The ChatMessage
class represents a multicast chat message sent from
MessageSender
or received by MessageReceiver
.
- ChatMessage(String, String) - Constructor for class it.azraelsec.Chat.ChatMessage
-
It stores the data the message contains and initializes the timestamp.
- ChatMessage(String, String, long) - Constructor for class it.azraelsec.Chat.ChatMessage
-
It stores the data the message contains.
- checkRemove(Document) - Method in class it.azraelsec.Chat.CDAManager
-
Checks if the Document
in argument exists within the assigned
addresses' list and, in this case, it removes it.
- clearNotificationList() - Method in class it.azraelsec.Notification.NotificationClientThread
-
Clears the notifications queue.
- Client - Class in it.azraelsec.Client
-
The Client
class represents the TURING Client execution and provides all the methods
which allows the user to interact with the Server
.
- Client() - Constructor for class it.azraelsec.Client.Client
-
Initializes NotificationClientThread
, MessageReceiver
and LocalSession
objects.
- close() - Method in class it.azraelsec.Notification.NotificationServerThread
-
Imposes the NotificationServerThread
to shutdown.
- Commands - Enum in it.azraelsec.Protocol
-
The Commands
enumeration encapsulates all the commands that Client
and Server
will exchange between them via their main TCP connection.
- Communication - Class in it.azraelsec.Protocol
-
The Communication
class encapsulates all the logic related to the communication protocol used
to exchange commands and their execution results in a solid way.
- Communication() - Constructor for class it.azraelsec.Protocol.Communication
-
- compareTo(ChatMessage) - Method in class it.azraelsec.Chat.ChatMessage
-
Makes two ChatMessage
s (horribly) comparable based on the timestamp value.
- create() - Static method in class it.azraelsec.Chat.MessageSender
-
It allocate a new MessageSender
object, initializes the UDP channel and sets multicast interface.
- createNewDocument(String, int, String, User) - Method in class it.azraelsec.Document.DocumentsDatabase
-
Creates a new Document
adding it directly to the DocumentsDatabase
.


Immute
An Om and Datomic inspired development stack.
Get Involved
- Visit our backlog to see how you can help!
- Join our NYC Meetup and drop in to hack the stack.
Get Started
Prerequisites
- Install Leiningen
Get the Immutable Stack
Git checkout the immutable-stack so you have the demonstration app from David and Kovas (see Inspiration)
git clone https://github.com/KitchenTableCoders/immutable-stack.git
Install the Immute Template for Leiningen
This template lets you build a basic app - currently incomplete
Do the following to install the app:
git clone https://github.com/immutable-hack/immute-template
cd immute-template
lein install
cd ..
Create a new app with the template:
lein new immute my-first-immute-app --snapshot
Inspiration
This project draws inspiration from:
- David Nolen - who is an enthusiastic and friendly Clojure developer. He and his cohort, Kovas Boguta created The Immutable Stack.
- Ruby On Rails - teaches us what to do (ease the transition to a new language and stack) and what not to do (railroad users into a brittle app framework which promotes low cohesion).


#include <delayedEvent.h>
Contains: DelayedEvent These are used to make events go off on a certain amount of time, rather than When the invoke method is called once per pulse.
◆ DelayedEvent()
| DelayedEvent::DelayedEvent |
( |
int |
sec, |
|
|
int |
msec |
|
) |
| |
constructs a DelayedEvent.
- Parameters
-
| sec | [in] The number of seconds between each fire. |
| msec | [in] The number of milliseconds between each fire. |
◆ Invoke()
| void DelayedEvent::Invoke |
( |
EventArgs * |
args, |
|
|
void * |
caller |
|
) |
| |
|
virtual |
Trigger all events in the callback list, passing args.
@params [in] args EventArgs specific to this event.
- Parameters
-
| [in] | caller | A pointer to the caller object (if any). |
Reimplemented from Event.
◆ SetDelay()
| void DelayedEvent::SetDelay |
( |
int |
sec, |
|
|
int |
msec |
|
) |
| |
Sets the delay for the event.
- Parameters
-
| [in] | sec | The number of seconds between each fire. |
| [in] | msec | The number of milliseconds between each fire. |
The documentation for this class was generated from the following files:


Examples for the bootstrap-slider component.
Basic example with custom formatter and colored selected region via CSS.


public class DfpUser
extends java.lang.Object
DfpUser
class contains all needed information to
authenticate a user as well as generate a valid service for that user. The
way in which a service is generated is performed as:
DfpUser user =
new DfpUser(email, password, networkCode, applicationName);
ServiceInterface service = user.getService(DfpService.version.serviceName);
The interface <Service>Interface
should match that described by
DfpService.version.serviceName
or else a
ServiceException
will be thrown. For example, if you wished to
get the service InventoryService
and you referenced this service by
DfpService.v201308.INVENTORY_SERVICE
, your import of
InventoryServiceInterface
should be from the package
com.google.api.ads.dfp.v201308
.
| Constructor and Description |
|---|
DfpUser()
Creates
DfpUser with default properties loaded
from "~/dfp.properties" file. |
DfpUser(java.util.Map properties)
Creates
DfpUser with properties from given
Properties . |
DfpUser(java.lang.String fileName)
Creates
DfpUser with properties loaded
from given file. |
DfpUser(java.lang.String email,
java.lang.String password,
java.lang.String applicationName)
Constructor that does not supply a network code.
|
DfpUser(java.lang.String email,
java.lang.String password,
java.lang.String networkCode,
java.lang.String applicationName)
Constructor.
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
getApplicationName()
Gets the application name.
|
java.lang.String |
getClientLibraryIdentifier()
Gets the client library identifier used for user-agent fields.
|
java.lang.String |
getEmail()
Gets the email.
|
static java.util.Map |
getMap(java.lang.String fileName)
Returns
Properties object populated with properties loaded
from a given file. |
java.lang.Object |
getNetworkCode()
Gets the network code.
|
java.lang.String |
getPassword()
Gets the password.
|
java.lang.String |
getRegisteredAuthToken()
Gets the registered authentication token associated with this user.
|
<T extends java.rmi.Remote> |
getService(DfpService service)
Gets an instantiated service generated for this user determined by
service . |
<T extends java.rmi.Remote> |
getService(DfpService service,
java.lang.String endpointServer)
Gets an instantiated service generated for this user determined by
service . |
static boolean |
getUseClasspathClientConfig()
Returns
true if the DfpServiceFactory should use the
client-config.wsdd located in the classpath instead of loading the runtime
EngineConfiguration . |
void |
setAuthToken(java.lang.String authToken)
Sets the authentication token that is retrieved by
getRegisteredAuthToken() . |
static void |
useClasspathClientConfig(boolean useClasspathClientConfig)
Uses the client-config.wsdd located in the classpath instead of loading
the runtime
EngineConfiguration , which sets the HTTP
transport to DfpHttpSender . |
public DfpUser(java.lang.String email, java.lang.String password, java.lang.String networkCode, java.lang.String applicationName)
email
- the email address of the userpassword
- the passwordnetworkCode
- the network code the login belongs toapplicationName
- the application namepublic DfpUser(java.lang.String email, java.lang.String password, java.lang.String applicationName)
email
- the email address of the userpassword
- the passwordapplicationName
- the application namepublic DfpUser() throws java.io.IOException
DfpUser
with default properties loaded
from "~/dfp.properties" file.java.io.IOException
- if problem occurred while reading filepublic DfpUser(java.lang.String fileName) throws java.io.IOException
DfpUser
with properties loaded
from given file.fileName
- absolute or relative path to the properties file, which
has to follow java.util.Properties
file formatjava.io.IOException
- if problem occurred while reading filepublic DfpUser(java.util.Map properties)
DfpUser
with properties from given
Properties
.
Properties
may contain email, password, networkCode, and
applicationName.properties
- the Map
object containing the constructor
parameterspublic <T extends java.rmi.Remote> T getService(DfpService service) throws javax.xml.rpc.ServiceException
service
. Should be used in the form:
ServiceNameInterface service = user.getService(DfpService.Version.Service);
where ServiceNameInterface is described in the javadoc within
DfpService.Version.Service, and both Version and Service are constants.T
- the type determined by the return-capture variable to cast the
generated stub to.service
- the DfpService
used to generate
the servicejavax.xml.rpc.ServiceException
- if service stub could not be generated or
if the return-capture variable's type does not match the service
requestedpublic <T extends java.rmi.Remote> T getService(DfpService service, java.lang.String endpointServer) throws javax.xml.rpc.ServiceException
service
. Should be used in the form:
ServiceNameInterface service = user.getService(DfpService.Version.Service);
where ServiceNameInterface is described in the javadoc within
DfpService.Version.Service, and both Version and Service are constants.T
- the type determined by the return-capture variable to cast the
generated stub to.service
- the DfpService
used to generate
the serviceendpointServer
- the endpoint server of the servicejavax.xml.rpc.ServiceException
- if service stub could not be generated or
if the return-capture variable's type does not match the service
requestedpublic java.lang.String getEmail()
public java.lang.String getPassword()
public java.lang.String getApplicationName()
public java.lang.Object getNetworkCode()
public java.lang.String getRegisteredAuthToken()
AuthToken.getAuthToken()
method to do this. This can be
null
if the authentication token was never set.public void setAuthToken(java.lang.String authToken)
getRegisteredAuthToken()
. This authentication token will be used
when generating services; i.e.
getService(DfpVersion.*.*)
.authToken
- the authentication token to use when generating servicespublic static void useClasspathClientConfig(boolean useClasspathClientConfig)
EngineConfiguration
, which sets the HTTP
transport to DfpHttpSender
.useClasspathClientConfig
- true
if the client-config.wsdd
located in the classpath should be usedpublic static boolean getUseClasspathClientConfig()
true
if the DfpServiceFactory
should use the
client-config.wsdd located in the classpath instead of loading the runtime
EngineConfiguration
. See
useClasspathClientConfig(boolean)
.true
if the client-config.wsdd located in the classpath
should be usedpublic java.lang.String getClientLibraryIdentifier()
public static java.util.Map getMap(java.lang.String fileName) throws java.io.IOException
Properties
object populated with properties loaded
from a given file.fileName
- absolute or relative path to the properties file, which
has to follow java.util.Properties
file formatjava.io.IOException
- if problem occurred while reading file


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Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Rich, tasty grouse is served with blackberry sauce and the earthy flavours of beetroot, celeriac and kale.
For the red cabbage purée, heat a large saucepan over a medium heat, add the butter and red cabbage and fry for 1-2 minutes, or until just softened.
Add the wine and bring to the boil. Turn down the heat and simmer until the volume has reduced by half. Add the remaining ingredients and bring back to a simmer. Cover and cook for 40-45 minutes, stirring occasionally, until tender.
Remove the lid, turn the heat to high and cook for a further 5-8 minutes, or until the liquid has evaporated and the red cabbage is slightly sticky and glossy. Season with salt and pepper. Leave to cool slightly then transfer to a blender and blend until smooth.
Meanwhile, for the grouse, preheat the oven to 200C/400F/Gas 6. Heat the oil in a small ovenproof frying pan. Season the grouse and add to the pan. Fry quickly on all sides until lightly browned. Transfer to the oven and roast for 10-15 minutes, or until cooked to your liking. Set aside to rest before serving.
To make the sauce, heat a saucepan and add most of the butter. Once hot, add the shallot, garlic and thyme and fry for 1-2 minutes, or until softened.
Add the rest of the ingredients, apart from the blackberries, and cook for 5-8 minutes, until reduced a little in volume. Just before serving pass through a sieve and return the liquid to the pan. Add the remaining of butter and the blackberries.
For the celeriac and baby beetroots, heat two small frying pans. Once hot, add half the oil and butter to each pan. Add the celeriac to one pan and the baby beetroots to the other and cook for 6-8 minutes. Let the beetroots cool then peel and cut them in half.
To cook the kale, heat the butter in a frying pan. Add the kale leaves and two tablespoons of water and cook until wilted down.
To serve, place the red cabbage purée on the plates. Put a spoonful of the kale on top. Cut the grouse into pieces and put on the plates. Place the celeriac and beetroots around the grouse and spoon the blackberry sauce over the top.


The Tamnavulin distillery is a producer of single malt Scotch whisky that was founded in 1966. In 1966, Tamnavulin-Glenlivet Distillery Co. Ltd. built the Tamnavulin distillery in order to satisfy the growing demand from whisky blenders such as Whyte & Mackay, Crawfords, and Mackinlay's. In 1993, Whyte & Mackay became the owners of Tamnavulin when the company purchased Invergordon Distillers (the parent company of the Tamnavulin-Glenlivet Distillery Co. Ltd.) The purchase price of £382 million also included the distilleries Bruichladdich, Isle of Jura, and Tullibardine. The Tamnavulin distillery was closed in May 1995. Ownership was transferred to Kyndal International in 2001, and then to the United Spirits division of United Breweries Group in 2007, operated by Whyte and Mackay Ltd. The distillery began operating once again in July 2007 after a major refurbishment with new automation and process control which was installed by Canongate Technology. Whyte and Mackay Ltd is now owned by Emperador Inc. Along with Invergordon distillery, it produces whisky for the company's blended Scotch whisky brands
Whisky or whiskey is a type of distilled alcoholic beverage made from fermented grain mash. Various grains (which may be malted) are used for different varieties, including barley, corn, rye, and wheat. Whisky is typically aged in wooden casks, generally made of charred white oak. Whisky is a strictly regulated spirit worldwide with many classes and types. The typical unifying characteristics of the different classes and types are the fermentation of grains, distillation, and aging in wooden barrels.
The Balvenie distillery is a Speyside single malt Scotch whisky distillery in Dufftown, Scotland, owned by William Grant & Sons. William Grant was born on 19 December 1839 in his father's house in Dufftown.[citation needed] At seven he began herding cattle at a farm on the upper reaches of the River Deveron.[citation needed] He was apprenticed to a shoemaker then worked as a clerk, and then became a bookkeeper at Mortlach distillery 1866. There he was appointed as a clerk and then manager and learned the distilling trade. After about twenty years, Grant left his job at the Mortlach distillery and bought a field near Balvenie Castle. He then drew up plans for his distillery, and the foundation stone was laid in the autumn of 1886.
William Grant & Sons Ltd is an independent, family-owned Scottish company that distills Scotch whisky and other selected categories of spirits. It was established in 1887[1] by William Grant, and is run by Grant's descendants as of 2018.[2] It is the largest of the handful of Scotch whisky distillers remaining in family ownership.[3] The company is the third largest producer of Scotch whisky (8% market share), shipping about 7.6 million cases per year, with brands including Glenfiddich and Balvenie.[4][5] The first and second largest, respectively, are Diageo (34.4%), and Pernod Ricard.[6][7] The company is registered at The Glenfiddich distillery in Dufftown.[8] The main operational headquarters are located at Strathclyde Business Park, North Lanarkshire. Sales and marketing headquarters are in Richmond, London. The company is a member of the Scotch Whisky Association
Dufftown distillery is a distiller of Scotch whisky in Dufftown, Banffshire, Scotland. Founded in 1895 as "Dufftown-Glenlivet Distillery", the distillery is currently owned by Diageo. The distillery operates six stills and has a capacity of 4,000,000 litres (880,000 imperial gallons; 1,100,000 US gallons) per year.[1] It has three wash stills with a capacity of 13,100 litres (2,900 imperial gallons; 3,500 US gallons) and three spirit stills with a capacity of 15,300 litres (3,400 imperial gallons; 4,000 US gallons).[2] Its Speyside whisky is a component in Arthur Bell & Sons Ltd's blended bottlings. It also markets single malt scotch whiskies under the names Singleton of Dufftown and Dufftown Aged 15 Years
Glen Scotia distillery or sometimes affectionately known as The Scotia or Old Scotia is a distillery that is a producer of single malt Scotch whisky. The distillery was founded in 1832 in Campbeltown, Scotland. Campbeltown is a small town on the Kintyre Peninsula on the west coast of Scotland. It is affectionately known as the “Wee Toon”, and the Victorian Whisky Capital of the World. At its peak in the 1800s, there were 21 distilleries in this small town with approximately 170 distilleries operating at that time in the UK (129 of those in Scotland) Campbeltown still has 3 operating distilleries: Glen Scotia, Springbank, and Glengyle. These distilleries give a remarkable insight into the history of making whisky in this remote, once prolific, whisky making region of Scotland.
The Macallan distillery is a single malt Scotch whisky distillery in Craigellachie, Moray. The Macallan Distillers Ltd is a wholly owned subsidiary of the Edrington Group, which purchased the brand from Highland Distillers in 1999.[1] The Macallan is generally considered be the second or third highest-selling single-malt scotch, next to Glenfiddich and, by some accounts, Glenlivet.[2][3] Originally, The Macallan was matured only in oak sherry casks brought to the distillery from Jerez, Spain. Beginning in 2004, The Macallan introduced a new main product, the Fine Oak series, with the whisky mellowed in bourbon oak casks as well as sherry ones
Islay whisky is Scotch whisky made on Islay (/ˈaɪlə/ EYE-lə) or Ìle in Gaelic, one of the southernmost of the Inner Hebridean Islands located off the west coast of Scotland. Islay is one of five whisky distilling localities and regions in Scotland whose identity is protected by law.[1] The three most famous brands today are Laphroaig, Lagavulin and Ardbeg.[2] In total, there are nine active distilleries on this island which measures only 25 by 15 miles (40 by 24 kilometres), and the industry is Islay's second largest employer after agriculture.[3][4] Islay is a centre of "whisky tourism", and hosts a "Festival of Malt and Music" known as Fèis Ìle each year on the last week of May, with events and tastings celebrating the cultural heritage of the island.
ASW Distillery is a manufacturer of distilled spirits located in Atlanta, Georgia, United States. It is the second legally licensed distillery in Atlanta since the end of American Prohibition and distilled the first single malt whiskey in Atlanta history. In 2018, the distillery's Duality Double Malt Whiskey became Georgia's first-ever Double Gold Medal Whiskey, as judged by the San Francisco World Spirits Competition.
Aware that building a premium image is challenging on toilet paper and bin liners alone, German discount chain Aldi branched into the world of luxury aged whisky in 2011. That November the company released 3,000 bottles of Glen Marnoch 24-year-old Highland single malt at the distinctly knock-down price of £29.99, followed by an even more rarefied 40-year-old malt called Glenbridge, at less than £50. Since then Glen Marnoch has become the store’s proprietary luxury malt brand that has encompassed the main whisky regions, with or without an age-statement. Rumours abound as to which distilleries have been involved, and suspects have included Dalmore, Glendronach and Glen Moray.
Its owners claim it to be the smallest distillery in Scotland. It has been owned by the Signatory Vintage Scotch Whisky Company since 2002, and was previously owned by Pernod Ricard. Signatory, founded in 1988, is primarily an Independent bottler and is based in Pitlochry. Established in 1825, the distillery was traditionally run by three men, but now there are just two. Only eighteen casks are produced each week. They have a tour which costs £10 and currently includes two drams and a nosing glass. The wash still has a capacity of 4200 litres and the smaller spirit still 2200 litres. A variety of whiskies are available from the distillery. Only the Edradour 10-year is chill-filtered, a process by which the esters and oils are removed, producing a cleaner look to the whisky, which when chilled or has ice added to it does not turn cloudy. There is, amongst others, a non-chill-filtered 12-year-old malt, some of which goes into the "House of Lords" and "Clan Campbell" blends
WhistlePig Whiskey is located on one of the oldest farms in Vermont, USA. Cultivation began here in the early 19th century in what was then known as the hamlet Shaksboro. Steam engines replaced the lifeblood of the town – a grist and lumber mill powered by the Lemon Fair River - which still meanders through farm - and the town slowly dissipated until vanishing entirely in the 1930s. The farm remained in operation until 2006 when it was purchased and renamed by WhistlePig’s founder Raj Peter Bhakta. WhistlePig Farm is being lovingly restored, a slow and painstaking process, in order to ensure that we produce the finest rye whiskey in the World.
Starlaw distillery is a Scotch whisky grain distillery at Bathgate in West Lothian, opened in 2010. It is owned by French drinks group La Martiniquaise, as part of its Scottish subsidiary Glen Turner Company, and is sometimes known as Glen Turner distillery. Along with Glen Moray distillery in Speyside it provides whisky for the company's blended Scotch whisky brand Label 5. The distillery is integrated with a vatting, blending and bottling plant and has a capacity of 400,000 bottles per year
Grand Old Parr (often simply just Old Parr)[1] is a blended Scotch whisky named after the reputed oldest man in England. Launched in 1909, it is found in export markets such as Japan, Mexico, South America (specially Colombia) and the United States, and is no longer distributed in the United Kingdom. It is owned, distilled and distributed by Diageo, the British drinks company. Old Parr is known for its distinctive dimpled and rounded bottle design. It retails at a premium price, and its competitor brands include Johnnie Walker Black Label and Chivas Regal. It also has an 18 year old Whiskey bottle.
Johnnie Walker is a brand of Scotch whisky now owned by Diageo that originated in the Scottish burgh of Kilmarnock in East Ayrshire. The brand was first established by grocer John Walker. It is the most widely distributed brand of blended Scotch whisky in the world, sold in almost every country, with annual sales of the equivalent of over 223.7 million 700 ml bottles in 2016 (156.6 million litres)...
To honour and celebrate the courage and sacrifice of the many thousands of men and women who served their country. As the brightest and best from the fledgling Australian and New Zealand nations came together in far-flung lands, we have combined the finest aged whisky from the Dunedin Distillery, and married it with one of Tasmania’s best known Single Malts.
Glen Scotia Distillery was founded in 1832, and has been operating for approximately one hundred and eighty years. Situated in Campbeltown, one of the recognised 5 Whisky producing regions of Scotland, the distillery has a formidable pedigree.00 Campbeltown is a small town on the Kintyre Peninsula on the west coast of Scotland. It is affectionately known as the “Wee Toon”, and the Victorian Whisky Capital of the World. At its peak in the 1800s, there were 21 distilleries in this small town with approximately 170 distilleries operating at that time in the UK (129 of those in Scotland) Campbeltown still has 3 operating distilleries: Glen Scotia, Springbank, and Glengyle. These distilleries give a remarkable insight into the history of making whisky in this remote, once prolific, whisky making region of Scotland. Glen Scotia was formerly known as 'Scotia' when it was first founded in 1832 by Stewart & Galbraith and Company. Stewart & Galbraith Co. ran the Distillery for almost 60 years.


YouMedia
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Be more famous. Reach the world. Get dubbed. Get awarded. Don't miss subscribers. Make your videos more powerfull. More than videos in one site. And more. It's YouMedia!
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YouMedia is owned by the community, so bugs are fixed kickly.
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We can't handpick who have success here!
YouMedia is decentralized and open-source, so we don't get paid from governs to make the things they want.
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Great enterprises pays to show ads, and you plus the strongest seeds get paid. Everyone then wins.
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Even if you have just 1 subscriber, earn Open Badges for each achievement.

If you is a beginner and community thinks your video is good, you get featured. If you is already famous and your video/other media have success, you get featured in another tab. Two tabs in the Trending tab: Beginners and Famous.
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New couple alert: Brooklyn Beckham packs on the PDA with Marvel’s Nicola Peltz
Cape Town – Brooklyn Beckham and Nicola Peltz have been spotted packing on the PDA at a Halloween party recently.
According to the Daily Mail, the aspiring photographer and actress have been spending a lot of time together lately in Los Angeles.
A source told The Sun, "Brooklyn has already met her family, and he gets on well with her brother, they even partied together."
The picture of the two shared by the publication shows Brooklyn’s arms around the Inhumans star, while passionately plants a kiss on her cheek.
Compiled by Bashiera Parker (Sources: Daily Mail , The Sun )


This is a graphic that I designed for the Social Sciences Digital Scholarship Working Group during the Spring of 2015. The purpose of this was to build a conceptual model of the research lifecycle of social science researchers at Florida State University. The model was inspired by University of Central Florida's research lifecycle.
The mission of the DSWG is to develop, support and expand the digital scholarship program through active participation and discussion. Understanding the research habits of our faculty allow the DSWG to support its mission by providing services and programs that facilitate their success. This graphic, which will be a web-based interactive tool in the future, will be a valuable tool for FSU researchers, enabling them to identify tools, people, and information as they fit within their workflow.


Use Shift-Alt-O (windows), Shift-Command-O (mac) to toggle the bar. Always display the tickerbar, even when no stock symbols are found.
Select which metrics to show on the ticker bar:


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STATION 2 of 5
‘Nature in Place’ addresses the direct, physical and ephemeral presence of nature in space. SDE4 incorporates this through landscaping elements at level 6, open views to the surrounding landscape and water features that are activated when raining. The building’s operable envelope design also allows for air flow to vary with the outdoor conditions, and for natural light to enter deep into spaces.


List of all the native applications (iOS, Android, and BlackBerry) currently stored for the organization in EASE database .
Click TestConnection to get list of apps!
This list correlates to the list of apps displayed on the Applications page on the EASE Portal.
The list will not include any web apps, iTunes apps, Android Market (Google Play) apps, or iOS Config files.
Here variable expansion $VAR is allowed. Standard jenkins namespace is used thus it could be environment variables or build parameters.


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Description
It’s interesting to notice that the majority of the sites present themselves as a “Source of true information” by disassociating themselves from the main news and information platforms analyzed in protocol 1. Their expression is focused on “Constructive criticism”, “Freedom of expression” and “Defence and support of their people”. Contrary to what we expected hatred is not always screamed as we tend to think. Indeed, even if they have been categorized as “Hate Sites” by RationalWiki, these kind of pages usually talk using a neutral and calm tone of voice. We can observe the same behaviour on sites that define themselves as platforms for the spread of their “Academic point of view”. Instead in the clusters of sites that don’t deny to be “Hateful sites” or that insist on the free speech nature of their contents, the tones get heated, sometimes becoming aggressive or full of resentment.
As the main question suggests, this visualization was designed since we wanted to see how these “Hate Speech” sites present themselves to the users, what they want to say and how they express themselves.
The 48 RationalWiki’s pages are represented by circles with the site’s name on them. In the map we collected and divided the “Hate Sites” in the “Self description” typology, symbolized by dotted orange circumferences. The areas surrounded by a gray stroke are subordinated to the orange one and they represent a second categorization of the “Self description”. The circles’ colors depend on the tone of voice used by the sites in their “About” page or section. The mouseover helps reading the graph by highlight the same categories in which the sites are grouped.
Protocol
To answer the question about how do the RationalWiki’s “Hate Sites” present themselves to the viewers we decided to analyze their “About” sections. We manually found out these sections on each page. If the observed sites had been previously shutted down we used the Wayback Machine tool to discover the deleted “About” of the pages. By these sections we extrapolated the self presentation paragraphs. Some sites didn’t provide any useful text for our scope so we had to exclude them. Once all the texts were collected and organized in an Excel file, we proceeded with a manual identification of which aspects and content typologies were highlighted in the paragraphs. We identified eight categories of self description and we defined these different parameters to recognize them.
Source of true information: use of words as “information”, “truth”, “news”, “education”. Use of concepts like “the main platforms of news lie to us”.
Academic point of view: Introduction at their scientific/historical theories.
Defense and support of their people: Purpose to be a safe place and an aggregation space for the users. They worry for their future.
Freedom of speech: Quote of subjects like “free speech”, “freedom of expression”. Strong need to spread what they think.
Hateful Site: Use of hateful expressions. They don’t deny to spread hate.
Not an “hate site”: Clearly disassociate themselves from hate speech or offensive intentions.
Conversation Platform: Exchange of ideas
Constructive Criticism: Improve the world with practical actions.
For each site we defined the main typology of presentation encountered during the analysis. Sometimes in order to be more accurate and truthful we needed to report a second typology of presentation associated to the first one. Using the same texts we manually deduced the 9 tones of voices that characterized their statements. We discarded the possibility to use tools like IBM Tone Analyzer because the differences were too slight.


Former KARA member Youngji to not attend 'Comedy Big League' taping in order to mourn Goo Hara
by danisurstA representative for tvN's 'Comedy Big League' announced that Youngji would not be attending the November 26 taping for the program to grieve the loss of her former KARA group mate Goo Hara. The idol has been working as the MC for the program since January of this year.
Meanwhile, a number of entertainers have been cancelling or postponing their work schedules out of respect to Goo Hara's sudden passing. The press conference of KBS2's 'Jung Hae In's Walking Report' reality show was cancelled, AOA has cancelled their comeback showcase, and Crush recently announced that he would be postponing the release of his new album.


In your android/java project create a new package folder (name of this folder should match the Package name of generated classes)
Go to src subfolder of generated package and copy all files to your project (to newly created folder).
In libs subfolder you will find all jars needed for generated classes. Copy all jars to your project and add references to them (every IDE has different way of adding refenreces to external jars)
Add INTERNET permission to your AndroidManifest.xml file
<uses-permission android:name="android.permission.INTERNET"/>
Use the following code to connect to your webservice:
I_AuthorizationBinding service = new I_AuthorizationBinding();
service.MethodToInvoke(...);
This problem occures when you have many copies of ksoap2.jar added as dependencies in your project. For Premium account we add ExKsoap2.jar library which already has ksoap2.jar. Sometimes this causes conflicts. In this case should add ExKsoap2.jar only to your dependencies (without ksoap2.jar). If you added both ExKsoap2.jar and Ksoap.jar libs, then you can have this issue. To solve it, please remove Ksoap2.jar from dependencies.


Please select the patient's age range: Under 30 30-45 46-60 Over 60 Please select the patient's blood pressure level: Normal (Systolic under 120mmHg and Diastolic under 80mmHg) Elevated (Systolic between 120-129mmHg and Diastolic under 80mmHg) Stage 1 (Systolic between 130-130mmHg and Diastolic between 80-89mmHg) Stage 2 (Systolic 140 or higher and Diastolic 90 or higher) Crisis (Systolic higher than 180mmHg and Diastolic higher than 120mmHg) Patient's Height(ft): 4 5 6 Patient's Height(in): 0 1 2 3 4 5 6 7 8 9 10 11 Please select the patient's weight in pounds: Under 110 110 115 120 125 130 135 140 145 150 155 160 165 170 175 180 185 190 195 200 205 210 215 220 225 230 235 240 245 250 255 260 265 270 275 280 285 290 295 Over 300 Does the patient have history of diabetes? No Yes Does the patient have history of cancer? No Yes Does the patient have history of Alzheimer's? No Yes Coverage Risk:


Web & Net Stuff
- search and navigation utilities
- Alta Vista
Search the Web or the News Groups
Display results Compact or Detailed - Advanced Query
HotBot for
Return results with
Tip: Use "Date" to limit your search to recently updated documents.- Inktomi
Return display results with- Lycos
Search Options:
Display Options:
- OpenText
How: This phrase All of these words Any of these words
- InfoSeek
- Starting Point
- WebCrawler
Find pages with of these words and return results.
- Yahoo
Search Titles URLs Comments Case sensitive
boolean: or and all - substring whole thing #- The Galaxy
Match any or all search terms.Search the Web - for each document:
- Search all text, title text only, or link text only.
Also search Galaxy Pages Gopher Titles Telnet Resources
- SavvySearch
Op: AND OR Adjacency - hits/engine:
Be Brief Normal Verbose - Integrate results
- All-in-One Internet Search
- A great way to find urls is to comb the Green Eggs Report which yanks every url which appears anywhere on USENET and organizes them for easy web access.
- AliWeb
- Excellent tips for surfing the sprawl: Way of a Web Wanderer
- InterNIC Directory of Directories
- Internet Resources Meta-Index
- Subject-Oriented Internet Resource Guides
- EFF's (Extended) Guide to the Internet
- The Whole Internet Catalog
- The Web Wanderer
- Show me the Way!
- Web Indexes
- Web Robots
- Email robots, media changers, synthesizers and personal processors. NetMind FREE Customized Web Services!
- Internet Love Fest Webwatch Digest - robotic hotlist watcher
- Webhound WWW Interface
- What's New With NCSA Mosaic - Very picky :-P
- The Virtual Shareware Library: 110,000 files - 13.6 gigabytes
- Web FTP Interface
- Archie'95 - WWW Archie Search
- List of Web Archie Services
- Search a List of Mailing Lists
- Publicly Accessible Mailing Lists
- Measuring the Web with Lycos
- Growth of the World Wide Web
- The World Matrix GIF (January 1993)
- Each year there are as many new people on the Internet as all the people on the Internet the year before. Internet Size and Growth from MIDS
- From World-Wide-Web to Super-Brain
- Digital Envelopy
- Current Events
- The U.S. Government is launching an all-out attack on privacy. One of the key battles involves the persecution of Phil Zimmerman, author of PGP public key encryption. We've got another civil "war" on our hands. This time it's a War on the Internet
- Zimmerman case dropped!
- Why encrypting E-mail is important:
Importance of Public Key Encryption- Why digital signatures are important:
Importance of Digital Signatures- MIT distribution site for PGP
- Amiga PGP
- Pretty Good Privacy UK
- PGP 2.6.2 hypertext documentation
- EFH Pretty Good Privacy Workshop
- Anonymous Remailers
- W3 - Based Anonymous Remailer Interface
- A Note About Web Browsers and Privacy
- A note discussing the prevention of electromagnetic eavesdropping of personal computers.
- Transient Electromagnetic Pulse Surveillance Technology
- TEMPEST in a teapot
- A review of TEMPEST Legal Issues
- Preventing Electromagnetic Eavesdropping
- Van Eck monitoring Footnotes
- Eavesdropping On the Electromagnetic Emanations of Digital Equipment: The Laws of Canada, England and the United States
- U.S. Federal Surveillance Laws
- U.S. Air Force's Super Lab for C4I Technology Rome Laboratory
- Air Force Cryptologic Support Center Communications-Computer Systems Security Education, Training, and Awareness Branch information letter: THE CONNECTION
- Journal of Electronic Defense
- ORNL Instrumentation and Controls Division: Electromagnetic Technology Group
- SystemWare Incorporated
- Tempest, Shakespeare
- The Mathematical Guts of RSA Encryption
- Cryptography: The Study of Encryption
- Usenet
- DejaNews Usenet ReSearch
MaxHits: 30 60 120 Format: terse verbose
Sort by (per page): score group date author
Default operator: OR AND
Age: prefer newer prefer older
Age matters: not at all somewhat greatly
Advanced Query Filter
- Submit profiles describing what you want and articles from newsgroups available to their host will be sent to you periodically. Stanford Netnews Filtering Service
- Anchorman Hypertext Usenet
- Find Newsgroups by Keyword Search
- Usenet Group Descriptions
- Usenet FAQs - Search Form
- Usenet Info Center Launch Pad
- USENET News on CD-ROM
- How to Receive Banned Newsgroups FAQ
- Digital Liberty
- Misc
- VirtualRealityModelingLanguage
- MRML: Mind Reading Markup Language
- Weblint - HTML Validator
- Internet Affirmation of the Year: I can be faster, better and cheaper
- AOL SUCKS


In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir
to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
#data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images
.
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputs
discriminator
generator
model_loss
model_opt
train
This will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
Implement the model_inputs
function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width
, image_height
, and image_channels
.z_dim
.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
# TODO: Implement Function
input_images = tf.placeholder(tf.float32,shape= (None, image_width, image_height, image_channels), name='input_real')
z_input = tf.placeholder(tf.float32, shape=(None, z_dim), name='input_z')
lr = tf.placeholder(tf.float32, name='learning_rate')
return input_images, z_input, lr
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Implement discriminator
to create a discriminator neural network that discriminates on images
. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope
with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the generator, tensor logits of the generator).
def discriminator(images, reuse=False):
"""
Create the discriminator network
:param image: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
with tf.variable_scope('discriminator', reuse=reuse):
a = 0.2
conv1 = tf.layers.conv2d(images, 64, 5, 2, 'SAME')
relu1 = tf.maximum(a * conv1, conv1)
conv2 = tf.layers.conv2d(relu1, 128, 5, 2, 'SAME')
bn2 = tf.layers.batch_normalization(conv2, training=True)
relu2 = tf.maximum(a * bn2, bn2)
conv3 = tf.layers.conv2d(relu2, 256, 5, 1, 'SAME')
bn3 = tf.layers.batch_normalization(conv3, training=True)
relu3 = tf.maximum(a * bn3, bn3)
flatten = tf.reshape(relu3, (-1, 4*4*256))
logit = tf.layers.dense(flatten, 1)
output = tf.sigmoid(logit)
return output, logit
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Implement generator
to generate an image using z
. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope
with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim
images.
def generator(z, out_channel_dim, is_train=True):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
a = 0.2
with tf.variable_scope('generator', reuse=False if is_train==True else True):
# Fully connected
fc1 = tf.layers.dense(z, 2*2*512)
fc1 = tf.reshape(fc1, (-1, 2, 2, 512))
fc1 = tf.maximum(a*fc1, fc1)
deconv2 = tf.layers.conv2d_transpose(fc1, 256, 5, 2, 'valid')
bn2 = tf.layers.batch_normalization(deconv2, training=is_train)
relu2 = tf.maximum(a * bn2, bn2)
deconv3 = tf.layers.conv2d_transpose(relu2, 128, 5, 2, 'SAME')
bn3 = tf.layers.batch_normalization(deconv3, training=is_train)
relu3 = tf.maximum(a * bn3, bn3)
# deconv4 = tf.layers.conv2d_transpose(relu3, 64, 3, 2, 'SAME')
# bn4 = tf.layers.batch_normalization(deconv4, training=is_train)
# relu4 = tf.maximum(a * bn4, bn4)
logit = tf.layers.conv2d_transpose(relu3, out_channel_dim, 5, 2, 'SAME')
output = tf.tanh(logit)
return output
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Implement model_loss
to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)
generator(z, out_channel_dim, is_train=True)
def model_loss(input_real, input_z, out_channel_dim):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
gm_out = generator(input_z, out_channel_dim, is_train=True)
dm_real, dm_out_real = discriminator(input_real, reuse=False)
dm_false, dm_out_false = discriminator(gm_out, reuse=True)
dm_loss_real = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=dm_out_real,
labels=tf.ones_like(dm_real)))
dm_loss_false = tf.reduce_mean( tf.nn.sigmoid_cross_entropy_with_logits(logits=dm_out_false,
labels=tf.zeros_like(dm_false)))
dm_loss = dm_loss_real + dm_loss_false
gm_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits=dm_out_false,
labels=tf.ones_like(dm_false)))
return dm_loss, gm_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Implement model_opt
to create the optimization operations for the GANs. Use tf.trainable_variables
to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
train_variables = tf.trainable_variables()
dm_vars = [var for var in train_variables if var.name.startswith('discriminator')]
gm_vars = [var for var in train_variables if var.name.startswith('generator')]
dm_opt = tf.train.AdamOptimizer(learning_rate, beta1).minimize(d_loss, var_list=dm_vars)
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS, scope='generator')):
gm_opt = tf.train.AdamOptimizer(learning_rate, beta1).minimize(g_loss, var_list=gm_vars)
return dm_opt, gm_opt
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train
to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)
model_loss(input_real, input_z, out_channel_dim)
model_opt(d_loss, g_loss, learning_rate, beta1)
Use the show_generator_output
to show generator
output while you train. Running show_generator_output
for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator
output every 100 batches.
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
# TODO: Build Model
tf.reset_default_graph()
input_real, input_z, other = model_inputs(data_shape[1], data_shape[2], data_shape[3], z_dim)
dm_loss, gm_loss = model_loss(input_real, input_z, data_shape[3])
dm_opt, gm_opt = model_opt(dm_loss, gm_loss, learning_rate, beta1)
count = 0
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
for batch_images in get_batches(batch_size):
# TODO: Train Model
batch_images = batch_images * 2
count += 1
batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
sess.run(dm_opt, feed_dict={input_real: batch_images, input_z: batch_z})
sess.run(gm_opt, feed_dict={input_z: batch_z})
if count % 20 == 0:
train_loss_dm = dm_loss.eval({input_z: batch_z, input_real: batch_images})
train_loss_gm = gm_loss.eval({input_z: batch_z})
print("Epoch {}/{}---".format(epoch_i+1, epochs),"D-Loss: {:.4f}...".format(train_loss_dm),"G-Loss: {:.4f}".format(train_loss_gm))
if count % 100 ==0:
show_generator_output(sess, 25, input_z, data_shape[3], data_image_mode)
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 64
z_dim = 100
learning_rate = 0.0002
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 64
z_dim = 100
learning_rate = 0.0003
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.


#ftl output_format="HTML" auto_esc=true> <#import "layout/default.html" as layout><EMAIL_ADDRESS>Dear ${name},
You have been allocated some applications to assess within this competition. Please sign into the Innovation Funding Service to accept or reject these allocations.
If you have any questions around the assessments, please contact the Competitions Team.
Yours sincerely,
<EMAIL_ADDRESS>/> @layout.default>


To test a list of CLSIDs use test_clsid.bat.
NOTE All our tests were conducted impersonating the NT AUTHORITY\LOCAL SERVICE. To have a shell as NT AUTHORITY\Local Service, use psexec (as Administrator)
.\PsExec64.exe -i -u "nt authority\local service" cmd.exe
Some CLSIDs impersonate the current logged-in user in first session, interesting if the DA is logged in ;-)


XTEST — Test If In Transactional Execution
| Opcode/Instruction |
Op/En |
64/32bit Mode Support |
CPUID Feature Flag |
Description |
| 0F 01 D6 XTEST |
A |
V/V |
HLE or RTM |
Test if executing in a transactional region |
Instruction Operand Encoding
| Op/En |
Operand 1 |
Operand2 |
Operand3 |
Operand4 |
| A |
NA |
NA |
NA |
NA |
Description
The XTEST instruction queries the transactional execution status. If the instruction executes inside a transactionally executing RTM region or a transactionally executing HLE region, then the ZF flag is cleared, else it is set.
Operation
XTEST
IF (RTM_ACTIVE = 1 OR HLE_ACTIVE = 1)
THEN
ZF ← 0
ELSE
ZF ← 1
FI;
Flags Affected
The ZF flag is cleared if the instruction is executed transactionally; otherwise it is set to 1. The CF, OF, SF, PF, and AF, flags are cleared.
Intel C/C++ Compiler Intrinsic Equivalent
| XTEST: |
int _xtest( void ); |
SIMD Floating-Point Exceptions
None
Other Exceptions
| #UD |
CPUID.(EAX=7, ECX=0):HLE[bit 4] = 0 and CPUID.(EAX=7, ECX=0):RTM[bit 11] = 0. If LOCK or 66H or F2H or F3H prefix is used. |


Class EmailPreview
Preview of an email message. For full message (including body and attachments) call the getEmail
or other email endpoints with the provided email ID.
Inherited Members
Namespace: mailslurp.Model
Assembly: mailslurp.dll
Syntax
[DataContract(Name = "EmailPreview")]
public class EmailPreview : IEquatable<EmailPreview>, IValidatableObject
Constructors
View SourceEmailPreview()
Initializes a new instance of the EmailPreview class.
Declaration
[JsonConstructor]
protected EmailPreview()
EmailPreview(Guid, Guid?, string, List<string>, string, List<string>, List<string>, DateTime, bool, List<string>)
Initializes a new instance of the EmailPreview class.
Declaration
public EmailPreview(Guid id = default, Guid? domainId = null, string subject = null, List<string> to = null, string from = null, List<string> bcc = null, List<string> cc = null, DateTime createdAt = default, bool read = false, List<string> attachments = null)
Parameters
| Type | Name | Description |
|---|---|---|
| Guid | id | ID of the email entity (required). |
| Guid? | domainId | ID of the domain that received the email. |
| string | subject | The subject line of the email message as specified by SMTP subject header. |
| List<string> | to | List of |
| string | from | Who the email was sent from. An email address - see fromName for the sender name.. |
| List<string> | bcc | List of |
| List<string> | cc | List of |
| DateTime | createdAt | When was the email received by MailSlurp (required). |
| bool | read | Read flag. Has the email ever been viewed in the dashboard or fetched via the API with a hydrated body? If so the email is marked as read. Paginated results do not affect read status. Read status is different to email opened event as it depends on your own account accessing the email. Email opened is determined by tracking pixels sent to other uses if enable during sending. You can listened for both email read and email opened events using webhooks. (required). |
| List<string> | attachments | List of IDs of attachments found in the email. Use these IDs with the Inbox and Email Controllers to download attachments and attachment meta data such as filesize, name, extension.. |
Properties
View SourceAttachments
List of IDs of attachments found in the email. Use these IDs with the Inbox and Email Controllers to download attachments and attachment meta data such as filesize, name, extension.
Declaration
[DataMember(Name = "attachments", EmitDefaultValue = true)]
public List<string> Attachments { get; set; }
Property Value
| Type | Description |
|---|---|
| List<string> | List of IDs of attachments found in the email. Use these IDs with the Inbox and Email Controllers to download attachments and attachment meta data such as filesize, name, extension. |
Bcc
List of BCC
recipients email addresses that the email was addressed to. See recipients object for names.
Declaration
[DataMember(Name = "bcc", EmitDefaultValue = true)]
public List<string> Bcc { get; set; }
Property Value
| Type | Description |
|---|---|
| List<string> | List of |
Cc
List of CC
recipients email addresses that the email was addressed to. See recipients object for names.
Declaration
[DataMember(Name = "cc", EmitDefaultValue = true)]
public List<string> Cc { get; set; }
Property Value
| Type | Description |
|---|---|
| List<string> | List of |
CreatedAt
When was the email received by MailSlurp
Declaration
[DataMember(Name = "createdAt", IsRequired = true, EmitDefaultValue = true)]
public DateTime CreatedAt { get; set; }
Property Value
| Type | Description |
|---|---|
| DateTime | When was the email received by MailSlurp |
DomainId
ID of the domain that received the email
Declaration
[DataMember(Name = "domainId", EmitDefaultValue = true)]
public Guid? DomainId { get; set; }
Property Value
| Type | Description |
|---|---|
| Guid? | ID of the domain that received the email |
From
Who the email was sent from. An email address - see fromName for the sender name.
Declaration
[DataMember(Name = "from", EmitDefaultValue = true)]
public string From { get; set; }
Property Value
| Type | Description |
|---|---|
| string | Who the email was sent from. An email address - see fromName for the sender name. |
Id
ID of the email entity
Declaration
[DataMember(Name = "id", IsRequired = true, EmitDefaultValue = true)]
public Guid Id { get; set; }
Property Value
| Type | Description |
|---|---|
| Guid | ID of the email entity |
Read
Read flag. Has the email ever been viewed in the dashboard or fetched via the API with a hydrated body? If so the email is marked as read. Paginated results do not affect read status. Read status is different to email opened event as it depends on your own account accessing the email. Email opened is determined by tracking pixels sent to other uses if enable during sending. You can listened for both email read and email opened events using webhooks.
Declaration
[DataMember(Name = "read", IsRequired = true, EmitDefaultValue = true)]
public bool Read { get; set; }
Property Value
| Type | Description |
|---|---|
| bool | Read flag. Has the email ever been viewed in the dashboard or fetched via the API with a hydrated body? If so the email is marked as read. Paginated results do not affect read status. Read status is different to email opened event as it depends on your own account accessing the email. Email opened is determined by tracking pixels sent to other uses if enable during sending. You can listened for both email read and email opened events using webhooks. |
Subject
The subject line of the email message as specified by SMTP subject header
Declaration
[DataMember(Name = "subject", EmitDefaultValue = true)]
public string Subject { get; set; }
Property Value
| Type | Description |
|---|---|
| string | The subject line of the email message as specified by SMTP subject header |
To
List of To
recipient email addresses that the email was addressed to. See recipients object for names.
Declaration
[DataMember(Name = "to", IsRequired = true, EmitDefaultValue = true)]
public List<string> To { get; set; }
Property Value
| Type | Description |
|---|---|
| List<string> | List of |
Methods
View SourceEquals(EmailPreview)
Returns true if EmailPreview instances are equal
Declaration
public bool Equals(EmailPreview input)
Parameters
| Type | Name | Description |
|---|---|---|
| EmailPreview | input | Instance of EmailPreview to be compared |
Returns
| Type | Description |
|---|---|
| bool | Boolean |
Equals(object)
Returns true if objects are equal
Declaration
public override bool Equals(object input)
Parameters
| Type | Name | Description |
|---|---|---|
| object | input | Object to be compared |
Returns
| Type | Description |
|---|---|
| bool | Boolean |
Overrides
View SourceGetHashCode()
Gets the hash code
Declaration
public override int GetHashCode()
Returns
| Type | Description |
|---|---|
| int | Hash code |
Overrides
View SourceToJson()
Returns the JSON string presentation of the object
Declaration
public virtual string ToJson()
Returns
| Type | Description |
|---|---|
| string | JSON string presentation of the object |
ToString()
Returns the string presentation of the object
Declaration
public override string ToString()
Returns
| Type | Description |
|---|---|
| string | String presentation of the object |
Overrides
View SourceValidate(ValidationContext)
To validate all properties of the instance
Declaration
public IEnumerable<ValidationResult> Validate(ValidationContext validationContext)
Parameters
| Type | Name | Description |
|---|---|---|
| ValidationContext | validationContext | Validation context |
Returns
| Type | Description |
|---|---|
| IEnumerable<ValidationResult> | Validation Result |


Entity Trap
Trap is the Entity definition for a trap.
Subclass of Collectable.
Functions
| GetOwner () | GetOwner returns the owner Entity for an active trap. |
| GetHolder () | GetHolder returns the current holder Entity for an active trap. |
| GetSkillRoll () | GetSkillRoll returns the skill roll value when the trap was placed. |
| IsActivated () | IsActivated returns true if the trap is active. |
| IsHidden () | IsHidden returns true if the trap is hidden. |
| GetDetonationTime () | GetDetonationTime returns the millisecond timer value for the trap to explode. |
| GetFrequency () | GetFrequency returns the frequency of the trap. |
| IsReusable () | IsReusable returns true if the trap is reusable. |
| GetDifficulty () | GetDifficulty returns the disarm difficulty of the trap. |
| GetCriticalChance () | GetCriticalChance returns the critical hit chance of the trap. |
| GetMinBaseDamage () | GetMinBaseDamage returns the minimum base damage of the trap. |
| GetMaxBaseDamage () | GetMaxBaseDamage returns the maximum base damage of the trap. |
| GetPrimaryDamageType () | GetPrimaryDamageType returns the primary type of damage for the trap. |
| GetSecondaryDamageType () | GetSecondaryDamageType returns the secondary effect for the trap, if any. |
| GetAmmoVariant () | GetAmmoVariant returns the ammo variant to use when calculating damage and penetration of the trap. |
| GetDamageRadius () | GetDamageRadius returns the blast radius of the trap. |
| GetImpactFX () | GetImpactFX returns the effect to use to show impact to a character. |
Functions
- GetOwner ()
-
GetOwner returns the owner Entity for an active trap.
Returns:
- GetHolder ()
-
GetHolder returns the current holder Entity for an active trap.
Returns:
-
An Entity indicating the trap holder.
- GetSkillRoll ()
-
GetSkillRoll returns the skill roll value when the trap was placed.
Returns:
-
An integer indicating the skill roll.
- IsActivated ()
-
IsActivated returns true if the trap is active.
Returns:
-
A boolean indicating if the trap is active.
- IsHidden ()
-
IsHidden returns true if the trap is hidden.
Returns:
-
A boolean indicating if the trap is hidden.
- GetDetonationTime ()
-
GetDetonationTime returns the millisecond timer value for the trap to explode.
Returns:
-
A large integer indicating the explosion time.
- GetFrequency ()
-
GetFrequency returns the frequency of the trap.
Returns:
-
A numeric value indicating the trap's frequency.
- IsReusable ()
-
IsReusable returns true if the trap is reusable.
Returns:
-
A boolean value indicating if the trap is reusable.
- GetDifficulty ()
-
GetDifficulty returns the disarm difficulty of the trap.
Returns:
-
An integer indicating the trap difficulty.
- GetCriticalChance ()
-
GetCriticalChance returns the critical hit chance of the trap.
Returns:
-
An integer indicating the trap critical hit chance.
- GetMinBaseDamage ()
-
GetMinBaseDamage returns the minimum base damage of the trap.
Returns:
-
An integer indicating the trap minimum damage.
- GetMaxBaseDamage ()
-
GetMaxBaseDamage returns the maximum base damage of the trap.
Returns:
-
An integer indicating the trap maximum damage.
- GetPrimaryDamageType ()
-
GetPrimaryDamageType returns the primary type of damage for the trap.
Returns:
-
A string indicating the trap primary damage type.
- GetSecondaryDamageType ()
-
GetSecondaryDamageType returns the secondary effect for the trap, if any.
Returns:
-
A string indicating the trap secondary effect type.
- GetAmmoVariant ()
-
GetAmmoVariant returns the ammo variant to use when calculating damage and penetration of the trap.
Returns:
-
A string indicating the trap ammo variant.
- GetDamageRadius ()
-
GetDamageRadius returns the blast radius of the trap.
Returns:
-
A numeric value indicating the trap radius.
- GetImpactFX ()
-
GetImpactFX returns the effect to use to show impact to a character.
Returns:
-
A string indicating the impact effect.


Tools
API: health summary
API: health details
Property Encrypter
User Roles
Test Page
Generate Http LoadBalance
Local login
Dev Ops


The [Repeat] attribute can only be used with a Region element. It instructs the region to repeat its content for each object in a list of objects. If the content tree inside the region binds to the object type that is repeated, then it will bind to the properties of a different object in the list on each iteration.
The [Repeat()] attribute has the following properties you can set.
Specifies the type of data that should be repeated within the Region. Setting this property implies that the region needs IList<T> data, and this does not have to be explicitly defined using the [NeedsData()] attribute
You will need to write a Data Provider that can provide IList<T> data for this to work.
Provides additional constraints on the RepeatType property by specifying that the Data Provider will be asked to provide IList<T> data in this scope.
As the Region repeats its content for each T in the IList<T> that it depends on, it will insert the object of type T into the rendering context so that each time the region is repeated it binds to a different instance of T and renders different content just as you would expect.
The ListScope property specifies the scope name to use when setting values of type T into the render context before rendering the contents of the region.
This is a fairly advanced use case that alows you to for example render two different instances of the same type within the region where one of them is the repeated data and the other was added to the render context higher up the element tree.
Defines an Html container element to wrap around each instance of the region's content. For example you might want to render the region with each repetition of the region's content contained in a li element.
Setting this property adds a class attribute to the container that is rendered around each child element.
You can include multiple class names separated by spaces.
If you are using CSS prefixes for package namespaces (recommended) then you can add the appropriate package namespace prefix to your class names by using the special {ns}_ marker in front of each class name that you want to be prefixed.
This property contains the style definition to attach to each child container.


12 hour
{{clock | date:'h:mm:ss a'}}
24 hour
{{clock | date:'H:mm:ss'}}
Reversed
{{clock | date:'H:mm:ss' | reverseTime}}
Hexadecimal reversed
{{clock | date:'H:mm:ss' | reverseTime | timeToBase:16}}
Hexadecimal color reversed
#{{clock | date:'H:mm:ss' | reverseTime | timeToBase:16:true}}
Hexadecimal color
#{{clock | date:'H:mm:ss' | timeToBase:16:true}}
Hexadecimal
{{clock | date:'H:mm:ss' | timeToBase:16}}
Ternary
{{clock | date:'H:mm:ss' | timeToBase:3}}
Binary
{{clock | date:'H:mm:ss' | timeToBase:2}}
Negabinary
{{clock | date:'H:mm:ss' | timeToNegativeBase:2}}
Negatrinary
{{clock | date:'H:mm:ss' | timeToNegativeBase:3}}
Negadecimal
{{clock | date:'H:mm:ss' | timeToNegativeBase:10}}
Base hour ({{clock | date:'h'}})
{{clock | date:'h:mm:ss' | timeToBase:(clock | date:'h')}} {{clock | date:'a'}}
Come back at 2
Roman numeral
{{clock | date:'H:mm:ss' | timeToRoman}}
Percent of day elapsed
{{clock | date:'H:mm:ss' | percentTimeElapsed}}%
Percent of day remaining
{{clock | date:'H:mm:ss' | percentTimeLeft}}%
The Titanic played...
{{clock | date:'H:mm:ss' | timeToMovie:194}} times
Percent of Mouse's life expectancy elapsed
{{clock | percentLifeElapsed}}%


Winery & Tasting Room
Please visit our tasting room by appointment or refer to our Events page for hours of operation and special events.
Getting to Christopher Bridge Cellars
Christopher Bridge Cellars is physically located south of Oregon City in
Clackamas County.
12770 S. Casto Road
Oregon City, OR 97045
Directions from North – Portland/Oregon City:
- Take Interstate 5 and/or I-205 to Exit 10 – Parkplace
- Turn right on OR 213 and drive 8.2 miles
- Turn right on S. Spangler Rd. and drive 1.2 miles to curve where S. Casto Rd. begins
- Continue on S. Casto Rd. 0.4 miles to 12770 S. Casto Rd. on left
Directions from South – Silverton/Salem:
- Take Cascade Hwy./OR 213 north and drive 21.6 miles
- Turn left on S. Spangler Rd. and drive 1.2 miles to curve where S. Casto Rd. begins
- Continue on S. Casto Rd. 0.4 miles to 12770 S. Casto Rd. on left
Directions from East – Mt. Hood/Government Camp:
- Take US 26 West and drive 32 miles from Mt. Hood Skibowl
- Turn right on OR 212 ramp to Boring/Oregon City
- Turn right on top of ramp and continue on OR 212 through Boring and Damascus to Clackamas/Interstate 205
- Turn left on I 205 and drive 2.4 miles
- Take exit 10/Parkplace and continue to OR 213/Veterans Memorial Hwy.
- Drive 8.4 miles to intersection with S. Spangler Rd.; turn right
- Drive 1.2 miles to beginning of S. Casto Rd.
- Go .4 miles to 12770 S. Casto Rd. on left
Directions from West – Newberg:
- Take OR 219 and drive 4.3 miles
- Turn left at McKay Rd. NE and drive 3.4 miles (McKay becomes Yergen R.)
- Continue on Yergen Rd. NE for 1.0 mile (Yergen becomes Ehlen Rd. NE)
- Turn slight left at Ehlen Rd. NE and drive 5.2 miles
- Turn slight right at First Street /Main St. NE and drive 0.1 mile
- Make a sharp left turn at OR 99E and drive 3.9 miles to Canby
Directions (from 99E South) through Canby:
- Turn right at S. Ivy St. (7-Eleven) and drive .2 miles
- Turn left on SE Township Rd. and drive 3 miles
- Turn left on S. Central Pt. Rd. and drive 0.5 miles
- Turn right on S.Carus Rd. and drive 0.4 miles
- Turn right on S.Casto Rd. and continue 1.1 miles uphill to 12770 S. Casto Rd. on right


/* Freeze Columns (itemId = 'bigDataX') */
/* Horiz Scrolling Columns (itemId = 'bigData'):
- Column header grouping implemented using HTML table
- Included dataindex attribute for column sorting (also requires columnSorting=true config in linked instance of TouchTreeGrid.
(column sorting not currently supported for sub-grouped headers so dataindex attribute not included)
*/


{{ partial "head.html" . }} {{ partial "header.html" . }}
An open source foundation for collaboration in the Nordic region.
Our mission is to encourage the growth of the local open source community, helping people and organizations learn how to benefit from open source innovation and effectively participate in the global open source ecosystem.


A prototype medical device designed to dampen the tremor symptoms of Parkinson's disease and Essential Tremor.
The Tremor Suppressor was approved for clinical trials at the Berenson-Allen Institute for Noninvasive Brain Stimulation
at Beth Israel Deaconess Medical Center and Harvard Medical School.


The package use a Node.js core package that allow to access the network. These core package are:
This flag only work if the AST analysis as successfully retrieved all dependencies as expected.


Who I Am
Hey! It's Peyton here. I was born and raised in Seattle, WA, and grew up in a family very involved in the Seattle tech scene. However, until now, I haven't seriously considered what it would be like to join the industry. I am a college student at Middlebury, and will be starting my sophomore year in the fall. I have lots of interests, and many of them are connected by a few common threads- namely, music/performing, a love of learning, and being outdoors.
Education
- Lakeside High School (Seattle, WA)
- Middlebury College (Middlebury, VT)
Work History
- Web design/e-commerce work with a few small businesses:
- Backyard Bakery Seattle
- Dancing Seeds Farm
Goals
- Complete the CodeFellows track
- Graduate college in 2024 with a BA in Music and Psychology
- Produce a show at Middlebury that I’ve written
- Create a career for myself that combines tech & my love of art
10 of My Non-Tech Related Interests
- Piano & Guitar
- Volleyball
- Learning German
- National Parks
- Watching and obsessing over Jeopardy
- Musical Theater (Current Fave Show: Hadestown)
- Music Production
- Possums
- The work of Virginia Woolf
- Making shrinky-dink jewelry


--- layout: page title: About header-img: "img/about-bg.png" ---
Programming is an art. A business. A way of life. This is my journey through creativity, knowledge, passion, and pursuit.


Roll up, see this pig in the balloon basket!
Any question you have, you must ask it.
Within its brain sparks'll zag and zig.
It is the Intelligent Aerial Pig.
The balloon is up high so you'll have to shout
Whatever your query, bawl it out.
The pig will answer as best it is able
And send its reply down the tethering cable.
It taps its trotters on one end of the rope,
Once for “Yes” and twice for “Nope”
I feel the vibrations down here on the ground
And tell you the answer in return for a pound.
I spend all the profits on pigfeed and swill
Bought from the farmyard just past yonder hill.
That's where the pig has its earthly sty
When not answering questions from its perch in the sky.
So put your query, hand over your cash,
Before the balloon comes down with a crash
The Intelligent Pig will suffer no harm
Or, if it does, I shall smear it with balm.
Balloons tend to plummet if not kept aloft
But all will be well if the landing is soft
That's why I've strewn all these cushions and pillows
Across the fields as far as those willows
The willows that weep, that sob, that bewail
When I end up being carted off to gaol
Accused of being a scoundrel and rotter
Pretending to count the taps of a trotter
There's no pig up there borne by balloon
It's as fanciful as the man in the moon
But when I get out from my durance vile
You'll see that my face bears a glittering smile
I've had an idea that's sure to win big
An invisible intelligent aerial pig.


Here's a cute Testudo.
We're sorry this wiki is incomplete.
Hello, and welcome to our wiki! We're UMaryland iGEM!
We are working on polyethylene terephthalate (PET) plastic degradation through the use of the enzyme PETase. We plan to increase the efficiency of PETase by binding it to bacterial cellulose. The cellulose acts as a net for the PET, hence our project name PET NET.
We are working hard in the lab to get results for our wiki! If you have any questions about our projects or have collaboration opportunities, please email us at<EMAIL_ADDRESS>Check out some of the pages we have actually done, such as our Mid-Atlantic Meetup page.
yeah we realize this is not so pretty. we're working on it.
contact us at umarylandigem@gmail.com


| < Day Day Up > |
The RECOVER UtilityThe recovery of DB2 data is an automated process rigorously controlled by the database management system. Figure 32.1 shows the flow of normal DB2 recovery. The standard unit of recovery for DB2 is the table space. As of DB2 V6, indexes can be copied using the COPY utility and recovered using the RECOVER utility. The DB2 COPY utility is used to create an image copy backup. All DB2 image copy data set information is recorded in the DB2 Catalog in the SYSIBM.SYSCOPY table. It is not necessary to keep track of the image copy data sets externally because DB2 manages this information independent of the application code. Figure 32.1. DB2 recovery.DB2 is also responsible for keeping a log of all changes made to table spaces. With a few exceptions, all updates are recorded in the DB2 active log. When an active log is full, DB2 creates an archive log. Many archive logs are created during normal DB2 application processing. All this information is stored in the DB2 Directory's SYSIBM.SYSLGRNX table and the Boot Strap Data Set (BSDS). Refer to Chapter 22, "The Table-Based Infrastructure of DB2," for a complete description of the internal DB2 tables and data sets. The DB2 RECOVER utility reads all control information pertaining to data recovery and applies the recorded changes contained in the copies and logs, as instructed by the DBMS and the RECOVER utility control parameters. Basically, the RECOVER utility is used to restore DB2 table spaces and indexes to a specific point in time. You can run two forms of the RECOVER utility: RECOVER TABLESPACE and RECOVER INDEX. Both are discussed in the following sections. |
| < Day Day Up > |


nips nips2001 nips2001-125 nips2001-125-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: A. D'avella, M. C. Tresch
Abstract: The question of whether the nervous system produces movement through the combination of a few discrete elements has long been central to the study of motor control. Muscle synergies, i.e. coordinated patterns of muscle activity, have been proposed as possible building blocks. Here we propose a model based on combinations of muscle synergies with a speciﬁc amplitude and temporal structure. Time-varying synergies provide a realistic basis for the decomposition of the complex patterns observed in natural behaviors. To extract time-varying synergies from simultaneous recording of EMG activity we developed an algorithm which extends existing non-negative matrix factorization techniques.
[1] E. Bizzi, P. Saltiel, and M. Tresch. Modular organization of motor behavior. Z Naturforsch [C], 53(7-8):510–7, 1998.
[2] F. A. Mussa-Ivaldi. Modular features of motor control and learning. Curr Opin Neurobiol, 9(6):713–7, 1999.
[3] W. J. Kargo and S. F. Giszter. Rapid correction of aimed movements by summation of forceﬁeld primitives. J Neurosci, 20(1):409–26, 2000.
[4] Z. Ghahramani and D. M. Wolpert. Modular decomposition in visuomotor learning. Nature, 386(6623):392–5, 1997.
[5] M. C. Tresch, P. Saltiel, and E. Bizzi. The construction of movement by the spinal cord. Nature Neuroscience, 2(2):162–7, 1999.
[6] P. Saltiel, K. Wyler-Duda, A. d’Avella, M. C. Tresch, and E. Bizzi. Muscle synergies encoded within the spinal cord: evidence from focal intraspinal nmda iontophoresis in the frog. Journal of Neurophysiology, 85(2):605–19, 2001.
[7] D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788–91, 1999.
[8] A. d’Avella. Modular control of natural motor behavior. PhD thesis, MIT, 2000.
[9] M. S. Lewicki and T. J. Sejnowski. Coding time-varying signals using sparse, shift-invariant representations. In M. S. Kearns, S. A. Solla, and D. A. Cohn, editors, Advances in Neural Information Processing Systems 11. MIT Press, 1999.
[10] L. Wasserman. Bayesian model selection and model averaging. Journal of Mathematical Psychology, 44:92–107, 2000.