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java.lang.Object com.google.code.yanf4j.core.impl.StandardSocketOption
public class StandardSocketOption
Standard socket options
| Field Summary | |
|---|---|
static SocketOption<java.lang.Boolean> |
SO_KEEPALIVE
Keep connection alive. |
static SocketOption<java.lang.Integer> |
SO_LINGER
Linger on close if data is present. |
static SocketOption<java.lang.Integer> |
SO_RCVBUF
The size of the socket receive buffer. |
static SocketOption<java.lang.Boolean> |
SO_REUSEADDR
Re-use address. |
static SocketOption<java.lang.Integer> |
SO_SNDBUF
The size of the socket send buffer. |
static SocketOption<java.lang.Boolean> |
TCP_NODELAY
Disable the Nagle algorithm. |
| Constructor Summary | |
|---|---|
StandardSocketOption()
|
| Method Summary |
|---|
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final SocketOption<java.lang.Boolean> SO_KEEPALIVE
The value of this socket option is a Boolean
that represents
whether the option is enabled or disabled. When the SO_KEEPALIVE
option is enabled the operating system may use a keep-alive
mechanism to periodically probe the other end of a connection when the
connection is otherwise idle. The exact semantics of the keep alive
mechanism is system dependent and therefore unspecified.
The initial value of this socket option is FALSE
. The socket
option may be enabled or disabled at any time.
Socket.setKeepAlive(boolean)
public static final SocketOption<java.lang.Integer> SO_SNDBUF
The value of this socket option is an Integer
that is the size of
the socket send buffer in bytes. The socket send buffer is an output
buffer used by the networking implementation. It may need to be increased
for high-volume connections. The value of the socket option is a
hint to the implementation to size the buffer and the actual
size may differ. The socket option can be queried to retrieve the actual
size.
For datagram-oriented sockets, the size of the send buffer may limit the size of the datagrams that may be sent by the socket. Whether datagrams larger than the buffer size are sent or discarded is system dependent.
The initial/default size of the socket send buffer and the range of allowable values is system dependent although a negative size is not allowed. An attempt to set the socket send buffer to larger than its maximum size causes it to be set to its maximum size.
An implementation allows this socket option to be set before the socket is bound or connected. Whether an implementation allows the socket send buffer to be changed after the socket is bound is system dependent.
Socket.setSendBufferSize(int)
public static final SocketOption<java.lang.Integer> SO_RCVBUF
The value of this socket option is an Integer
that is the size of
the socket receive buffer in bytes. The socket receive buffer is an input
buffer used by the networking implementation. It may need to be increased
for high-volume connections or decreased to limit the possible backlog of
incoming data. The value of the socket option is a hint to the
implementation to size the buffer and the actual size may differ.
For datagram-oriented sockets, the size of the receive buffer may limit the size of the datagrams that can be received. Whether datagrams larger than the buffer size can be received is system dependent. Increasing the socket receive buffer may be important for cases where datagrams arrive in bursts faster than they can be processed.
In the case of stream-oriented sockets and the TCP/IP protocol, the size of the socket receive buffer may be used when advertising the size of the TCP receive window to the remote peer.
The initial/default size of the socket receive buffer and the range of allowable values is system dependent although a negative size is not allowed. An attempt to set the socket receive buffer to larger than its maximum size causes it to be set to its maximum size.
An implementation allows this socket option to be set before the socket is bound or connected. Whether an implementation allows the socket receive buffer to be changed after the socket is bound is system dependent.
Socket.setReceiveBufferSize(int)
,
ServerSocket.setReceiveBufferSize(int)
public static final SocketOption<java.lang.Boolean> SO_REUSEADDR
The value of this socket option is a Boolean
that represents
whether the option is enabled or disabled. The exact semantics of this
socket option are socket type and system dependent.
In the case of stream-oriented sockets, this socket option will usually determine whether the socket can be bound to a socket address when a previous connection involving that socket address is in the TIME_WAIT state. On implementations where the semantics differ, and the socket option is not required to be enabled in order to bind the socket when a previous connection is in this state, then the implementation may choose to ignore this option.
For datagram-oriented sockets the socket option is used to allow multiple programs bind to the same address. This option should be enabled when the socket is to be used for Internet Protocol (IP) multicasting.
An implementation allows this socket option to be set before the socket is bound or connected. Changing the value of this socket option after the socket is bound has no effect. The default value of this socket option is system dependent.
ServerSocket.setReuseAddress(boolean)
public static final SocketOption<java.lang.Integer> SO_LINGER
The value of this socket option is an Integer
that controls the
action taken when unsent data is queued on the socket and a method to
close the socket is invoked. If the value of the socket option is zero or
greater, then it represents a timeout value, in seconds, known as the
linger interval. The linger interval is the timeout for the
close
method to block while the operating system attempts to
transmit the unsent data or it decides that it is unable to transmit the
data. If the value of the socket option is less than zero then the option
is disabled. In that case the close
method does not wait until
unsent data is transmitted; if possible the operating system will
transmit any unsent data before the connection is closed.
This socket option is intended for use with sockets that are configured
in blocking
mode
only. The behavior of the close
method when this option is
enabled on a non-blocking socket is not defined.
The initial value of this socket option is a negative value, meaning that the option is disabled. The option may be enabled, or the linger interval changed, at any time. The maximum value of the linger interval is system dependent. Setting the linger interval to a value that is greater than its maximum value causes the linger interval to be set to its maximum value.
Socket.setSoLinger(boolean, int)
public static final SocketOption<java.lang.Boolean> TCP_NODELAY
The value of this socket option is a Boolean
that represents
whether the option is enabled or disabled. The socket option is specific
to stream-oriented sockets using the TCP/IP protocol. TCP/IP uses an
algorithm known as The Nagle Algorithm to coalesce short
segments and improve network efficiency.
The default value of this socket option is FALSE
. The socket
option should only be enabled in cases where it is known that the
coalescing impacts performance. The socket option may be enabled at any
time. In other words, the Nagle Algorithm can be disabled. Once the
option is enabled, it is system dependent whether it can be subsequently
disabled. If it cannot, then invoking the setOption
method to
disable the option has no effect.
Socket.setTcpNoDelay(boolean)
| Constructor Detail |
|---|
public StandardSocketOption()
|
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Constructor
new BraniacClient(config, optionsopt)
Creates a new client instance.
Parameters:
| Name | Type | Attributes | Default | Description |
|---|---|---|---|---|
config |
Object | The config file to use with the bot. | ||
options |
Object |
<optional> |
{} | Optional options for the discord client |
Members
commands :Discord.Collection
All the commands registered to the bot.
Type:
- Discord.Collection
config :Object
The bot's config file.
Type:
- Object
groups :Discord.Collection
All the command groups registered to the bot.
Type:
- Discord.Collection
logger :Logger
The logger of the client.
Type:
Methods
getCommands(path) → {Array}
Gets all commands in a directory.
Parameters:
| Name | Type | Description |
|---|---|---|
path |
string | The path to the folder to register commands from. |
Returns:
All the command objects to register.
- Type
- Array
handle(msg, prefix)
Handles incoming prefixed messages, sending them to the appropriate commands.
Parameters:
| Name | Type | Description |
|---|---|---|
msg |
Discord.Message | The incoming message. |
prefix |
string | This guild's prefix |
memberPerms(member) → {Array}
Get
Parameters:
| Name | Type | Description |
|---|---|---|
member |
Discord.Member | description |
Returns:
An array of permission levels. @see Braniac#Perm
- Type
- Array
registerCommand(command)
Registers a command with the bot.
Parameters:
| Name | Type | Description |
|---|---|---|
command |
BraniacCommand | function | The command to register. |
registerCommands(path)
Registers all commands in a directory.
Parameters:
| Name | Type | Description |
|---|---|---|
path |
string | The path to the folder to register commands from. |
- Source:
- See:
reload(cmd, path)
Reloads, deletes, then registers a command.
Parameters:
| Name | Type | Description |
|---|---|---|
cmd |
BraniacCommand | The command to register. |
path |
string | The path to the command. |


U.S. International Trade in Goods, 2000-2013
Value of Exports and Imports by 3-digit NAICS Code ($US Billions)
Total
Agricultural Products
Livestock & Livestock Products
Forestry Products
Fish, Fresh/Chilled/Frozen & Other Marine Products
Oil & Gas
Minerals & Ores
Food & Kindred Products
Beverages & Tobacco Products
Textiles & Fabrics
Textile Mill Products
Apparel & Accessories
Leather & Allied Products
Wood Products
Paper
Printed Matter And Related Products
Petroleum & Coal Products
Chemicals
Plastics & Rubber Products
Nonmetallic Mineral Products
Primary Metal Mfg
Fabricated Metal Products
Machinery, Except Electrical
Computer & Electronic Products
Electrical Equipment, Appliances & Components
Transportation Equipment
Furniture & Fixtures
Miscellaneous Manufactured Commodities
Newspapers, Books & Other Published Matter
Waste And Scrap
Used Or Second-Hand Merchandise
Goods Returned (Exports For Canada Only)
Special Classification Provisions
Source: U.S. Census Bureau.


Important note: this program is doing what it promises but the programming itself is of very poor quality and for demonstration purposes only. Never ever use this program as source for your own programs because there are a lot of conversions to get it run.
Get more information about this program on
my webpage RSA AES GCM hybrid encryption
Enter a plaintext:
Enter the encryption algorithm:
Insert the Public Key you received (PEM encoding):
press the encrypt button to proceed:
Technical note: this program uses the AES 256 GCM encryption for the plaintext and RSA OAEP SHA-1 padding for the encryption of the AES encryption key.


Object | +--helma.Group.Manager
The root for all groups started in this application
Defined in Group.js
| SUMMARY: Constructor | Properties | Methods | DETAIL: Constructor | Properties | Methods |
| Constructor Summary | |
helma.Group.Manager()
This is mounted as "groups". |
| Methods Summary | |
Object
|
checkWriteAccess(nameOrJGroup)
checks for write access to a group according to app.properties group.nameXX.writable must be true so that this function returns |
Object
|
connect(name)
try to connect a group |
Object
|
count(name)
returns the total number of groupobjects in this group |
Object
|
destroy(name)
try to destroy a group (if application may write in group). |
Object
|
disconnect(name)
try to disconnect from a group |
Object
|
get(name)
visible to scripting env: get a group, wrapped as a javascript helma.Group object. |
Object
|
getConfig(name)
dumps the config of the jgroups stack to a string |
Object
|
getConnection(name)
returns the connection identifier of the Group instance (localname + multicast-target) |
Object
|
getContent(name)
dumps the keys of the group to a string |
Object
|
getFullConfig(name)
dumps the config of the jgroups stack including all properties to a string |
Object
|
getFullContent(name)
dumps the keys and the content of the group to a string |
Object
|
isConnected(name)
returns true/false if the group is connected |
Object
|
listMemberApps(name)
lists the members applications of this group (may be more than one per instance but also none) |
Object
|
listMembers(name)
list the members of this group (ie instances of Group, one helma server is one instance) |
Object
|
reconnect(name)
try to disconnect and connect again to a group |
Object
|
reset(name)
try to reset a group (if application may write in group). |
Object
|
restart(name)
try to restart a group (if application may write in group). |
Object
|
size(name)
returns the total number of groupobjects in this group |
Object
|
toString()
|
| Constructor Detail |
helma.Group.Manager()
| Method Detail |
Object checkWriteAccess(nameOrJGroup)
nameOrJGroup
- can be the name of a group or a java Group itself
Object connect(name)
Object count(name)
Object destroy(name)
Object disconnect(name)
Object get(name)
Object getConfig(name)
Object getConnection(name)
Object getContent(name)
Object getFullConfig(name)
Object getFullContent(name)
Object isConnected(name)
Object listMemberApps(name)
Object listMembers(name)
Object reconnect(name)
Object reset(name)
Object restart(name)
Object size(name)
Object toString()
| SUMMARY: Constructor | Properties | Methods | DETAIL: Constructor | Properties | Methods |


Bertrand Lab @ Imperial
Department of Mathematics. Imperial College London
Welcome to the Bertrand Lab @ Imperial!
We are based in the Mathematical Physics group of the Department of Mathematics at Imperial College London. Employing analytical and computational tools from non-equilibrium statistical mechanics, soft condensed matter physics and stochastic processes, our work finds applications in the physical, life and social sciences. Our research group is particularly interested in studying the stochastic dynamics of living and reactive systems. With the aim of shining some light on complex biological processes and discovering novel physical principles, our research combines the development of new analytical methods and the modeling of real systems, from the single agent scale (e.g., via random walk theory) to the level of collective and emergent behaviours in out-of-equilibrium and disordered systems (including for instance in tissue dynamics).
We are active members of the Physics of Life Network at Imperial, the Biological Physics Journal Club and co-organizers of the MathPhys seminar series.
news
| Feb 1, 2023 | Welcome to our newest lab members! Clara and Edward are joining us for their applied mathematics MSc project. |
|---|---|
| Oct 2, 2022 | Congratulations to Thibault who has been elected as committee member for the IoP Theory of Condensed Matter group! |
| Oct 1, 2022 | Today, the lab welcomes two new lab members! Caetano joins us for his final year MSci project co-supervised by Henry. Eloise returns to us as a PhD student, funded by a President’s PhD Scholarship, after having finished her MMath at the University of Edinburgh. Some great science coming from these two very soon! |
| Sep 20, 2022 | Congratulations to Bilal and Hanchun who complete their MSc in Applied Mathematics with great projects on vertex models of cellular monolayers and inertial active matter! |
| Sep 6, 2022 | Our latest paper on non-equilibrium phase separation in a model of scalar active matter is out today in Phys. Rev. E! Congrats to Henry who led the study. In this paper, we capture type-IV pili-mediated interactions in bacteria in a microscopic model then coarse-grain the dynamics formally, describing large scale clustering using non-equilibrium phase separation field theories (Active Model B+)! |
| Aug 21, 2022 | This week, the Condensed Matter Days (CMD29) are being held in Manchester, UK. Thibault is organizing a mini-symposium on tissue dynamics with collaborators Léa-Laetitia Pontani (CNRS/Soribinne Université) and Joseph d’Alessandro (CNRS/Institut Jacques Monod). |


| MATLAB File Help: prtOutlierRemovalNonFinite |
prtOutlierRemovalNonFinite Removes missing data from a prtDataSet OutRemove = prtOutlierRemovalNonFinite creates a pre-processing object that removes all missing data as outliers. Missing data are respresented as NaN's in the original data set. A prtOutlierRemovalNonFinite object also inherits all properties and functions from the prtOutlierRemoval class. For more information on how to control the behaviour of outlier removal objects, see the help for prtOutlierRemoval. Example: dataSet = prtDataGenUnimodal; % Load a data Set outlier = prtDataSetClass([NaN NaN; inf inf],[1;1]); % Create and insert dataSet = catObservations(dataSet,outlier); % an Outlier % Create the prtOutlierRemoval object nonFiniteRemove = prtOutlierRemovalNonFinite('runMode','removeObservation'); nonFiniteRemove = nonFiniteRemove.train(dataSet); % Train and run dataSetNew = nonFiniteRemove.run(dataSet);
| Superclasses | prtOutlierRemoval |
| Sealed | false |
| Construct on load | false |
| prtOutlierRemovalNonFinite | Need to check this with the string - setting the string in |
| dataSet | The training prtDataSet, only stored if verboseStorage is true. |
| dataSetSummary | Structure that summarizes prtDataSet. |
| isCrossValidateValid | False |
| isSupervised | False |
| isTrained | Indicates if prtAction object has been trained. |
| name | Required by prtAction |
| nameAbbreviation | NonFiniteDataRemove |
| runMode | Operation taken during RUN |
| runOnTrainingMode | Operation taken during TRAIN |
| showProgressBar | |
| userData | User specified data |
| validModes | |
| verboseStorage | Specifies whether or not to store the training prtDataset. |
| crossValidate | Cross validate prtAction using prtDataSet and cross validation keys. | |
| get | get the object properties | |
| kfolds | Perform K-folds cross validation of prtAction | |
| optimize | Optimize action parameter by exhaustive function maximization. | |
| run | Run a prtAction object on a prtDataSet object. | |
| set | set the object properties | |
| train | Train a prtAction object using training a prtDataSet object. |


Yesterday during a discussion with a prospective partner I was asked a question: "You have a tight deadline approaching. Which one would you choose - deliver on time or deliver with high quality?" Why would I have to choose when we could have both - eat the cake and have it! This is the story we shared at the Dataworks Conference European Edition 2019 in Barcelona.
In a recent data integration project at a major telecom company after almost a year of development the data acquisition backlog still keeps growing while the project is at its finish - literally next Monday.
The data acquisition system is Apache NiFi. To find a solution, it would be very useful to perform an analysis of our NiFi journey over the past year. The primary question is where the effort goes, which are the major sources for backlog items, preventing us from moving to support phase? Performing the review we identify 4 major scenarios as sources for the backlog.
Here is an example of requirements changes which required significant rework:
Change the type of the data stream sink (stream target).
Change the stream source type.
All the data at rest must be anonymized.
Typically in enterprise environment resources are shared between applications. This is very often the case with data acquisition systems, like NiFi, Informatica, Data Stage etc. Here are some challenges:
The dynamics of the technologies require that we keep our data pipelines updated.
Over the time we identify different, more efficient, solutions to original problems. Design patterns evolve, conventions change. These call for refactoring. From technical perspective refactoring is very important, it reduces the complexity, improves flexibility, maintainability and many, many other -ilities. Here are some reasons for refactoring:
Although very important from technical perspective, refactoring is usually considered with low business value. Requests for funding are rejected "I was expecting this from the very beginning".
Reading the scenarios, multiple problems could be identified. Architect, senior software or data engineer would recognize design smells, like violation of the DRY (Don't Repeat Yourself) principle.
At the bottom line we are trying to optimize the cost. This allows us to think about our problem as optimization problem. Common optimization approach is to:
In our case we could define the problem as: The data acquisition backlog keeps growing over time. The issue with highest significance is that once created, streams very quickly turn into legacy, requiring significant effort for continuous refactoring/re-design. This refactoring/re-design doesn't bring added business value which makes it very difficult or even impossible to secure the necessary budget.
How could we eliminate or at least significantly reduce the additional redesign/re-factoring effort? Finding an answer to this question could resolve our most significant issue.
During the design of every application, data modelling is applied. What if we require some formal definition of the data model?
Here is an example of steps and corresponding templates:
Acquire
Manage
Store
For the customer project an automated NiFi flow designer - NiFi Builder was implemented in Python. NiFi Builder uses direct NiFi API calls to manage the NiFi Flow. This is a proprietary implementation. A discussion for publishing the application as open source is in progress.
After the Barcelona conference, a new, open source, implementation NiPyBuilder started. Although functionally compatible with the proprietary NiFi Builder, it is not a fork from NiFi Builder, but completely different implementation:
Implemented solution solves not only original problem, but also improves the overall quality of the enterprise data integration ecosystem.


Glasgow chippy launches turkey sausage supper in time for Christmas
The snap caused a stir on social media.
by Kathleen SpeirsA Scottish fish and chip shop chain is has created a Christmas-themed sausage supper in the build up to the festive season.
Blue Lagoon Fish and Chips is launching its first turkey sausage supper.
The dish, sports two battered turkey sausages, chips and gravy.
A post from the fast food join tread: "Turkey sausage supper.
"Would you try our Christmas special?"
The snap caused a stir on social media with many Blue Lagoon followers intrigued by the new addition to the menu.
On Facebook Liam Johnson commented: "That's my Christmas dinner sorted."
Christopher McLafferty added: "This sounds good."
Andrew McViue wrote: "When is this available?"
The news comes after Blue Lagoon bosses announced that Love Island's Michael Griffiths will help open the newly refurbished restaurant in Argyle Street, Glasgow.
Michael, 27, will meet fans and staff at the new 80 seater restaurant.
Blue Lagoon's director Alessandro Varese told the Record: "We are going for a Caribbean beach theme with palm trees and bamboo shoots, so we thought we would reach out to someone on Love Island to come along.
"We are delighted Michael agreed."
The reality TV star hit headlines after brutally dumping Amber Gill who went on to win the show.
Blue Lagoon's Argyle Street branch will opening on Monday, November 25.
The grand opening with Michael takes place on December 5.


An XY Pad is for manually controlling the pan and tilt channels
of intelligent lighting fixtures, namely scanners and moving heads. The pad is
a resizable canvas with a handle and two sliders that you can grab to obtain direct access to
the attached fixtures' mirror/head position.
| (1) Main area | This is the area where the movement occurs. |
| (2) Handle | The gray point is the handle. You can move it either with the mouse or with the keyboard. |
| (3) Range sliders | These sliders limit the working area. |
| (4) Value sliders | These sliders can be used to change value in one axis only. |
| (5) XY Pad name | The name can be changed in properties, see below. |
| (6) DMX Coordinates | This part displays current DMX coordinates in format (Pan course.Pan fine : Tilt course.Tilt fine). |
| (7) Horizontal and vertical angle |
If the fixtures controlled have proper pan and tilt range filled in in their definitions, and the range is same for all fixtures,
then this field will compute angle from DMX coordinates. 0° is in the middle of the range (DMX value 127.127). For example, if pan range for a fixture is 540°, the displayed angle will be between -270° and 270°. Note: this may not work properly, when a fixture has limited axis range in configuration, or reversed axis. |
Starting from QLC+ version 4.5.0, two more sliders -- (3) in the picture above -- have been introduced to give you
the opportunity to set a working range window in which your moving heads will operate.
Note that from the GUI the movement of the handles will be limited to the green window area,
while with an external controller all the values will be scaled to the window, so
you will be able to have more sensitivity in the control your fixtures.
In addition, it is possible to set limits for individual fixtures in the properties dialog, see Configuration section. This setting maps the whole range of the area (the grey area) to the sub specified range.
Example: set fixture X Axis (=pan) mininum to 20% (DMX value 51), maximum to 80% (DMX value 204). When the handle is at the left edge (value 0), actual DMX output is 51. Similarly, handle at the right edge will output 204 (=80%). For values in between, DMX output is scaled proportionally.
It is possible to have both limits enabled (using the range sliders and limits per fixtures).
XY Pads can be configured with the properties button found in the toolbar or by double clicking on the XY pad itself.
| XY Pad name | Set the name of the XY Pad. The name (5) is shown in the upper left hand corner of the widget on Virtual Console. |
| Y-Axis slider movement |
The appearance of the vertical slider (the Y-Axis control) can be set to Normal or Inverted. In the first case the maximum value will be reached at the bottom of the pad, while in the second case it will be reached at the top. |
| Fixture tab |
Shows the fixtures that are currently controlled with the XY Pad.
|
| Add Fixtures to be controlled by the XY Pad, using the Select Fixture dialog. NOTE: only those fixtures that have pan and tilt capabilities are shown in the dialog. | |
| Remove the selected fixtures from the XY Pad's control list. | |
| Edit the selected fixture's behaviour as controlled by the XY Pad. |
You can change the extent of movement and reverse fixtures' movement with the XY Pad Fixture Configuration dialog.
| Horizontal X-Axis |
|
| Vertical Y-Axis |
|
It is possible to control head position with arrow keys on the keyboard. Each keypress increases/decreases coarse value by 1. With Shift key pressed, fine channel is changed by 1. With Ctrl, the step is 10 instead of 1.
| Arrow keys | Coarse | step=1 |
| Shift + Arrow keys | Fine | step=1 |
| Ctrl + Arrow keys | Coarse | step=10 |
| Shift + Ctrl + Arrow keys | Fine | step=10 |
You can attach an external input channel from an input device (like a tablet) to XY pads so that you don't always have to use the mouse to control your fixtures.


CLEAN, SHAVEN A film review by Christopher Null Copyright 1995 Christopher Null
Faster than you can say, "Toys in the attic," it becomes painfully aware that Peter Winter (Peter Greene), the main character of Lodge H. Kerrigan's new film, is not quite right.
CLEAN, SHAVEN is a brief but extremely powerful look at a page from the life of a schizophrenic who is on a quest to see his daughter who has been taken from him.  Throughout the film, Peter is constantly shaving, in an attempt to rid himself of the "receiver and transmitter" that he believes are housed within his body.
Peter makes it to the village where his daughter Nicole (Jennifer MacDonald) lives, only to find himself hunted by the police. The reason? Alongside Peter's arrival in town came the slaughter of a local young girl. The cops figure Nicole is next. Everyone *always* blames it on the psychos.
Clocking in at a spare 80 minutes, CLEAN, SHAVEN looks more like an episode of "The X-Files" than a feature film, yet manages to pack more punch than most films twice its length. The feel is that of a documentary, and the picture appears so real at times that it's hard to remember it's a fantasy. Kerrigan has created a creepy, disturbing, and graphic atmosphere. Dialogue is hardly required to get the emotions of Peter across: you can see it in his face, and in his actions. In fact, Peter goes so far as to cut off his fingernail (in vivid color) in order to get "the transmitter" out of his system. The collective groaning in a crowded theater must be tremendous.
This movie is definitely not for everyone. I'm not even sure if it's for *anyone,* but the bottom line is that CLEAN, SHAVEN is a spectacular example of how movies should be made. Greene deserves an Oscar nod for his work here, playing Peter so well as to make Norman Bates look like Mr. Rogers. Another hand goes to Kerrigan's direction, which plays perfectly off of Greene's acting.
If you go, be *sure* you know what you're getting in to. This one is definitely not for the faint of heart.
RATING: ****
+-------------------------------+ |* Unquestionably awful | |** Sub-par on many levels | |*** Average, hits and misses | |**** Good, memorable film | |***** Perfection | +-------------------------------+
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


My name is Will. I’m a Computer Engineer that specializes in Embedded Systems development. And welcome to my blog Bare Metal 0xaf!
About Bare Metal 0xaf
Basically just a dorky name that I decided to give my blog that comes from spending a large chunk of my life playing with and developing electronics. There are all sorts of weird things we say in my field like bit banging. And bare metal is just another one of those weird things we say that refers to low level programming on an embedded system. The 0xaf is a hex pun, I guess, for slang all the cool kids use.
About me
What I do
I work on the electronics that perform dedicated function(s) within an electronic system.
It can get pretty complicated, but my work usually involves the design and development of
- System Architecture
- Communication Protocols
- Hardware
- Firmware
- Testing
- Unit testing
- PCB manufacturing (e.g. Bed of nails)
- Assembly (e.g. End of line)
What I’ve worked on
Here’s a list of some projects and products that I’ve been involved with developing
- Stack750™
- Trio™ Computing Workstation
- NexsysADC™ Automated Dispensing Cabinet
- OreSat0
- APDM Opal
- VibroGait
Published Work
Here’s some published papers I’ve been involved with if you’re in to that sort of thing.
- Alleviating Freezing of Gait using phase-dependent tactile biofeedback - IEEE-EMBC 2016
- Development of a Low-Cost, Open Software/Hardware Command, Control and Communications Module for CubeSats - AIAA SPACE 2016
Education
- B.S. Computer Engineering, Portland State University 2016
- Minor: Mathematics


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
This is one of the gutsiest salads we’ve come up with – packed with beef and flavour. A proper Hairy Dieters’ feast. If you like, you can also make this with ready-made taco shells which are even lower in calories than tortillas so you can eat more filling!
This meal provides 397 kcal per portion.
Put the minced beef, onion and garlic in a medium non-stick saucepan and cook over a high heat for five minutes, stirring with two wooden spoons to break up any clumps of meat. Stir in the cumin, coriander and chilli and cook for two minutes more, stirring constantly. Add the tomato purée, sugar and beef stock and bring to a simmer. Cover the pan and leave to simmer gently over a low heat for 30 minutes. Remove the lid and stir the chilli mixture occasionally.
While the beef is cooking, prepare the tortilla bowls. Preheat the oven to 180C/350F/Gas 4. Take a sheet of foil about 1 metre/40in long and scrunch it up into a ball about 10cm/4in in diameter. Place it in the centre of a large baking sheet.
Take a tortilla and brush the centre on one side with a little of the oil – this will help prevent it sticking to the foil. Drape the tortilla over the ball of foil, oil-side down, pinching and loosely pleating it to create a bowl shape. Bake for five minutes until the bowl shape is set and the tortilla is lightly crisped.
Take the tortilla out of the oven and carefully remove it from the foil – it should be just cool enough to handle. Place the tortilla on an upturned tumbler and press to create a flat base on which to turn the tortilla once cold. The tortilla should still be warm enough to mould to the shape of the glass. Leave to cool while you make the next bowl in the same way. Put each upturned tortilla on a plate as soon as it is ready.
Remove the lid from the pan of beef and turn the heat up high. Cook for a further 4–5 minutes, stirring constantly, until most of the liquid has evaporated and the beef is looking fairly dry. Take the pan off the heat.
Toss the lettuce with the tomatoes, cucumber, spring onions and lime juice. Divide the salad between the tortilla bowls and season with black pepper, then top with the hot mince. Coarsely grate some cheddar over each serving and add some crème fraîche and salsa. Tuck in while the beef is warm.


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Crystagiri
An Html parser library for Crystal like amazing Nokogiri Ruby gem.
I not pretend that **Crystagiri** does much as **Nokogiri**. All help will be welcome! :)
Installation
Add this to your application's shard.yml
:
dependencies:
crystagiri:
github: madeindjs/crystagiri
and then run
$ crystal deps
Usage
require "crystagiri"
Then you can simply instanciate a Crystagiri::HTML
from a Html String
like this
doc = Crystagiri::HTML.new "
Crystagiri is awesome!!
"
... or directly load it from a Web Url or a pathname:
doc = Crystagiri::HTML.from_file "README.md"
doc = Crystagiri::HTML.from_url "http://example.com/"
Then you can search all XML::Node
from the Crystagiri::HTML
instance. Tag founded will be Crystagiri::Tag
object with .node
property:
- CSS query
# =>  ..
# =>  ..
**Know limitations**: For the moment you can't use css query with complex search like `:nth-child`
- HTML tag
# => Developement
# => Contributing
- HTML id
# => div
- HTML class attribute
# =>
 ..

# =>
 ..

# =>
 ..

Benchmark
I know you love benchmark between Ruby & Crystal so there one:
require "nokogiri"
t1 = Time.now
doc = Nokogiri::HTML File.read("spec/fixture/HTML.html")
1..100000.times do
doc.at_css("h1")
doc.css(".step-title"){ |tag| tag }
end
puts "executed in #{Time.now - t1} milliseconds"
executed in 13.891784021 seconds
require "crystagiri"
t = Time.now
doc = Crystagiri::HTML.from_file "./spec/fixture/HTML.html"
1..100000.times do
doc.at_css("h1")
doc.css(".step-title") { |tag| tag }
end
puts "executed in #{Time.now - t} milliseconds"
executed in 00:00:06.6636804 seconds
Crystagiri is more than twice fatser than Nokogiri!!
Development
Clone this repository and go in it:
$ git clone https://github.com/madeindjs/crystagiri.git
$ cd crystagiri
You can generate the complete documentation with
$ crystal doc
And run spec tests to ensure all work correctly
$ crystal spec
Contributing
- Fork it ( https://github.com/madeindjs/crystagiri/fork )
- Create your feature branch
git checkout -b my-new-feature
- Commit your changes
git commit -am "Add some feature"
- Push to the branch
git push origin my-new-feature
- Create a new Pull Request
Contributors
- madeindjs - creator, maintainer


Function Basics
Add text to paragraph elements and add text to a list.
Add text to paragraph
Call Functions
Add text to list
Enter a name
Add to list


Your transaction requires confirmation on your Ledger Nano S device. Check the details on the Ledger match those displayed below then click the sign option on your device:
|
FROM
|
{{transferFrom.address}} |
|
MESSAGE
|
{{ledgerVerificationMessage}} |
|
FEE
|
{{messageCreationConfirmation.fee}} Quanta |


You can customize the language of the calendar in the following way:
| language | string | Set the desired language of the calendar. |
|---|
The calendar supports these language codes:
<!-- set the language code -->
<script type="application/javascript">
$(document).ready(function () {
$("#my-calendar").zabuto_calendar({
language: "nl"
});
});
</script>


--- layout: default title: Page not found file: 404.html lang: en ---
There's nothing here. Perhaps you want to head back to my homepage?


--- layout: layout title: Order ---
Our aim is to build a sustainable, reliable business and a great product. Licensing and pricing is difficult. At this stage, we're mostly eager to get involved in client projects. We're trying to figure out a sustainable business model and to give you an idea, here's what it looks like at the moment. Prefer a subscription or transaction based licensing? Or a cloud service? We're flexible, get in touch!
| Item | Price | |
OrigoDB Server 0.2 Trial LicenseUnlimited, non-expiring trial license for test and development. Free for non-production use. |
0 € | Request trial |
OrigoDB Server 0.2 LicenseNon-expiring license for version 0.2 including 1 yr Basic Support |
200 € per GB RAM consumed per server | Contact us |
Basic Email SupportResponse from the core development team within 12 business hours, intended for open source origodb or renewal after 12 months. |
600 € / year | Contact us |
Custom SupportHigh priority, mission critical support |
custom | Contact us |
Consulting ServicesOn-site or remote assistance designing, implementing or evaluating an origodb solution. |
80 € / hour | Contact us |
Training ServicesCustom on-site workshops for developers and administrators |
1000 € / day | Contact us |


Table Name: tabTimesheet Detail
| Sr | Fieldname | Type | Label | Options |
|---|---|---|---|---|
| 1 | activity_type |
Link | Activity Type | Activity Type |
| 2 | from_time |
Datetime | From Time | |
| 3 | section_break_3 |
Column Break | ||
| 4 | hours |
Float | Hrs | |
| 5 | to_time |
Datetime | To Time | |
| 6 | section_break_7 |
Section Break | ||
| 7 | completed_qty |
Float | Completed Qty | |
| 8 | workstation |
Link | Workstation | Workstation |
| 9 | column_break_12 |
Column Break | ||
| 10 | operation |
Link | Operation | Operation |
| 11 | operation_id |
Data | Operation Id | |
| 12 | project_details |
Section Break | ||
| 13 | project |
Link | Project | Project |
| 14 | column_break_2 |
Column Break | ||
| 15 | task |
Link | Task | Task |
| 16 | section_break_6 |
Section Break | ||
| 17 | billable |
Check | Bill | |
| 18 | column_break_8 |
Column Break | ||
| 19 | billing_hours |
Float | Billing Hours | |
| 20 | section_break_11 |
Section Break | ||
| 21 | billing_rate |
Currency | Billing Rate | |
| 22 | billing_amount |
Currency | Billing Amount | |
| 23 | column_break_14 |
Column Break | ||
| 24 | costing_rate |
Currency | Costing Rate | |
| 25 | costing_amount |
Currency | Costing Amount | |
| 26 | reference |
Section Break | Reference | |
| 27 | sales_invoice |
Link | Sales Invoice | Sales Invoice |


Multi-Class Active Learning and Image Classification
Alhad Daftardar, Anish Visaria, Jason Lee, Naren
Dikkala, Timothy Gieseking Fall 2018 CS 4476 Computer Vision: Class Project Georgia Tech
Abstract
Machine learning methods for image classification require large number of manually labeled images. For
traditional supervised learning methods, obtaining the necessary number of labeled images can be prohibitively
expensive. We implemented the uncertainty sampling with diversity maximization (USDM) active learning algorithm,
which is intended to decrease the number of necessary number of labeled images by utilizing many unlabeled
images. We also test the performance of USDM on image classification problems using an SVM and SIFT bag-of-words
representation. Our results show that USDM yields better classification performance than either the k-center or
margin active learning algorithms.
Introduction
Machine learning methods have been very successful for image classification, achieving high accuracy rates.
However, machine learning methods typically require large numbers of labeled images, which can be time-consuming
and expensive to obtain. On the other hand, it is possible to automatically obtain unlabeled images at a low
cost.
Active learning is a category of semi-supervised learning algorithms used to reduce the necessary number of
labeled images for machine learning. In active learning, the learning algorithm is given a small set set of
labeled data and a large set of unlabeled data called the active pool. The active learning algorithm selects a
subset of the active pool to be labeled, intended to be the most informative examples. Finally, a classifier is
trained on the labeled seed set and selected subset of the active pool.
The Uncertainty Sampling with Diversity Maximization (USDM) algorithm is an active learning technique proposed by
Yang et al. [6]. USDM is intended to address problems that can occur with other active learning algorithms when
there are many classes and a small seed set. The USDM algorithm selects a training set that has maximum
uncertainty while maintaining high diversity. The diversity maximization criterion addresses the issues of a
clustered training set that can occur with uncertainty sampling. The USDM algorithm is specifically intended for
classification problems with large numbers of classes.
The first goal of the project was to implement the USDM algorithm in Python. This implementation is novel, as
there is no publicly available USDM code. Additionally, we test the effectiveness of USDM in the case of image
classification using a support vector machine with a SIFT bag-of-words representation.
Approach
We assume that we are given a seed set of unlabeled images and an active pool of unlabeled images. First, the
SIFT features are computed for the images in the seed set and active pool using the OpenCV [4]. Then, 100 random
SIFT features are chosen from each classes and clustered into 2000 clusters using the k-means algorithm. The
number of features and clusters were selected empirically; however, since these hyperparameters are the same for
each active learning algorithm, we do not expect the values to strongly affect relative performance. Then, SIFT
is applied to each of the images in the seed set and active pool and we calculate the histogram of SIFT features
in each of the clusters, which is called the bag-of-words representation of the image.
Then, the USDM algorithm is applied to the bag-of-words representation of the seed set and the active pool. USDM
selects a subset of the active pool of images that balances attaining maximum classification uncertainty and
maximum diversity of the subset. The USDM hyperparameters were set in accordance with the recommendations by Y.
Yang et al. [6]. The selected subset of the active pool is labeled and appended with the seed set to form the
training set.
A SVM with radial basis function (RBF) kernel is used for image classification using the scikit-learn package. An
SVM with RBF kernel has been shown by Gao et al. [7] to achieve high performance for image classification with
using a SIFT representation. Hyperparameter selection is performed using grid search for C = [0.01, 0.1, 1, 10,
100] and gamma = [0.0001, 0.001, 0.01, 0.1, 1] with 5-fold cross-validation. The SVM is trained on the training
set and corresponding labels. To classify new images, the SIFT bag-of-words representation of the image is
calculated. The trained SVM classifies this bag-of-word representation with the most probable image label.
Experiments
The USDM algorithm was compared to the k-center greedy and margin active learning algorithms. Additionally, as
baseline comparisons, training using only the seed set, the whole active pool, and the seed set together with a
uniformly random selection from the active pool as the test set were evaluated. Experiments were run on the
Caltech 101 [5] and COIL 100 [1] image classification data sets.
For each of the data sets above, a 20% stratified sample of the data set was taken as the test set, and the
remaining 80% of the data set as the training candidate set. From the training candidate set, the seed set was
created by selecting three examples from each class, and the remaining examples in the training candidate set
were used as the active pool.
For each combination of training set selection algorithm and data set above, an experiment of the following form
was performed. Given the labeled seed set and the unlabeled active pool, the training set selection algorithm
selects a number of images from the active pool equal to ten times the number of classes. The training set is
then created as the union of the seed set and the selected subset of the active pool. A SVM is trained on the
labeled training set. Finally, the trained classification model is tested on the test set and scored using the F1
score with micro-averaging.
Results
Table 1 shows the F1 classification score achieved for each of the data sets and training set selection method.
These results show that the k-center and margin active learning algorithms perform either only slightly better or
worse than random selection. This shows that that k-center and margin are not suitable active learning algorithms
for this application.
In contrast, the classification score using USDM is much higher than when using random selection, k-center, or
margin for both data sets. This indicates that USDM is the best of the tested active learning algorithms for this
application. However, USDM performs significantly lower than the theoretical maximum performance achieved by
using the whole seed and active set, so increased accuracy might be achieved by alternate approaches.
Qualitative Results
Figures 1 and 2 show the results of selecting one hundred images from the active pool on the COIL data set using
the margin and USDM algorithm. One difference between the two selections is the distribution of item classes. The
margin active learning algorithm select many object from some classes, for example five images of the orange car.
In contrast, USDM does not select items from the same class as often due to the diversity maximization criterion.
Based on the previous quantitative results, it is clear that this difference causes USDM to have superior
performance.
Conclusion and Future Work
USDM shows significant improvement compared to other active learning algorithms in a multi class image
classification task. USDM’s two main advantages are its ability to learn with a small seed set and its
flexibility in classifying multi class sets as opposed to binary classification. USDM combines diversity
maximization with uncertainty sampling in order to avoid clustering in the active pool, which is a common pitfall
in other active learning algorithms. The chosen samples are also evaluated on their informativeness across
multiple classes, offering better performance in the multi-class context. We cannot conclusively state if it is a
superior method overall because the scope of the testing did not cover all known active learning algorithms. The
results we have described above are encouraging that USDM is a valid method of performing semi-supervised
learning and can be applied to a variety of problems in the computer vision space.
Future work in this space includes testing the USDM on more and larger data sets, such as TinyImageNet, Amsterdam
Library of Object Images, and the CMU PIE face database. These datasets would let us draw more conclusions as to
the accuracy and applicability of USDM in different situations. In addition, we could test the USDM algorithm
against other active learning methods such as representative cluster mean sampling or graph density sampling that
we were unable to test due to our limited computation power.
Works Cited
[1] "Columbia Object Image Library (COIL-100)," S. A. Nene, S. K. Nayar and H. Murase, Technical Report
CUCS-006-96, February 1996.
[2] Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L. (2009). ImageNet: a large-scale
hierarchical image database. In CVPR
[3] Google, “Active Learning Playground,” Github, 2014. https://github.com/google/active-learning
[4] “Introduction to SIFT (Scale-Invariant Feature Transform),” OpenCV. [Online]. Available:
https://docs.opencv.org/3.4/da/df5/tutorial_py_sift_intro.html. [Accessed: 31-Oct-2018].
[5] L. Fei-Fei, R. Fergus and P. Perona. One-Shot learning of object categories. IEEE Trans. Pattern Recognition
and Machine Intelligence. In press.
[6] Y. Yang, Z. Ma, F. Nie, X. Chang, and A. G. Hauptmann, “Multi-Class Active Learning by Uncertainty Sampling
with Diversity Maximization,” International Journal of Computer Vision, vol. 113, no. 2, pp. 113–127, 2014.
[7] H. Gao, L. Dou, W. Chen, and J. Sun, “Image classification with Bag-of-Words model based on improved SIFT
algorithm,” 2013 9th Asian Control Conference (ASCC), 2013.


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Apple and Google share to us to help us improve the app or future apps.
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directly by Apple, Google and Google's partners. Oriental Fortune Teller will only see the knowledge
Apple and Google share to us to help us improve the app or future apps.
Digital Mala:
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Privacy Policies for AstrolabeNav:
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activities data will be collected by Apple, Google Ads and Google's partners. AstrolabeNav will only see
the knowledge Apple and Google share to us to help us improve the app or future apps.
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Game: Psychic Swords AR
Google Play:
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App Store:
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Privacy Policies for Psychic Swords AR:
We don't store any user information or user activity data. Device Information and user
activities data will be collected directly by Apple, Google and Google's partners. Psychic Swords
will only see the knowledge Apple and Google share to us to help us improve the app or future apps.


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Attributes
public class Attributes : Codable
Attributes about a reservation.
-
The state of the reservation
Declaration
Swift
public var state: Reservation.State
-
ID used by external system (usually Property Management System)
Declaration
Swift
public var externalId: String
-
Reservation confirmation number
Declaration
Swift
public var confirmationId: String
-
The first (given) name of the guest
Declaration
Swift
public var firstName: String?
-
The last (family) name / surname of the guest
Declaration
Swift
public var lastName: String?
-
The middle name of the guest
Declaration
Swift
public var middleName: String?
-
The email address of the guest
Declaration
Swift
public var email: String
-
The phone number of the guest
Declaration
Swift
public var phone: String?
-
The address of the guest
Declaration
Swift
public var address: String?
-
The postal code / zipcode of the guest
Declaration
Swift
public var postalCode: String?
-
Undocumented
Declaration
Swift
public var company: String?
-
Undocumented
Declaration
Swift
public var loyaltyProgram: String?
-
Undocumented
Declaration
Swift
public var loyaltyNumber: String?
-
Undocumented
Declaration
Swift
public var blockCode: String?
-
Undocumented
Declaration
Swift
public var externalState: String
-
The OAuth application responsible for checking the guest in.
Declaration
Swift
public var checkInOAuthAppId: String?
-
The source responsible for checking the guest in. (mobile,pms) seen so far.
Declaration
Swift
public var checkInSourceType: String?
-
The OAuth application responsible for checking the guest out.
Declaration
Swift
public var checkOutOAuthAppId: String?
-
The source responsible for checking the guest out. (mobile,pms) seen so far.
Declaration
Swift
public var checkOutSourceType: String?
-
Whether digital /mobile key is disabled
Declaration
Swift
public var digitalKeyDisabled: Bool?
-
Metadata on the attributes of the reservation.
Declaration
Swift
public var metaFields: MetaFields
-
The date the reservation was created
Declaration
Swift
lazy public var createdAt: Date? { get set }
-
The date the last modification of the reservation occurred.
Declaration
Swift
lazy public var modifiedAt: Date? { get set }
-
The date the guest checked in.
Declaration
Swift
lazy public var checkInDate: Date? { get set }
-
The date the guest checked out.
Declaration
Swift
lazy public var checkOutDate: Date? { get set }
-
The date the last external modification of the reservation occurred.
Declaration
Swift
lazy public var externalModifiedDate: Date? { get set }
-
Metadata on the attributes of a reservation to see if electronic check in/out is enabled for reservation.
See moreDeclaration
Swift
public class MetaFields : Codable


The float CSS property specifies that an element should be placed along the left or right side of its container, where text and inline elements will wrap around it. This way, the element is taken from the normal flow of the web page, though still remaning a part of the flow, contrary to absolute positioning.


|
Historical civilizations and modern life as we know it would not
have been possible without agriculture. It was through the cultivation of nutritional
food that the structure of early societies could diversify and focus on various tasks.
Without the need to move to better hunting grounds or spend time
on dangerous quests after seasonal sources of food, early humans were able to settle and
use their energy towards manufacturing sophisticated tools and building permanent
dwellings.
As time passed, agriculture became the most dominant land use on
the planet, feeding a booming population and transforming natural habitats of many
species.
Whether the outcome of this change delivers negative or positive
consequences depends largely on our approach. You may think it sounds counter-intuitive,
but sustainable management of our lands can prevent many problems we are currently
facing.
When done right, farmers could actually bring about many positive
environmental impacts of agriculture that may enrich local biodiversity and boost vital
ecosystem services.
|


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Bitcoin Unlimited Improvement Proposals
BUIP-001
"Unlimited" inspired extensions to the Bitcoin Client
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WITNESS LIST Land & Resource Management Committee (Subcommittee on Deed Restrictions) March 28, 2001-2:00P HB 1580 For: Hill, L. Susan (Texas Neighborhoods Together (TNT) and Cypress Creek United Civic Associations (CCUCA)) O'Brien, Mike (Houston Homeowners Association) Against: Stinson, Bill (Texas Association of Realtors) HB 2634 For: Hill, L. Susan (Texas Neighborhoods Together (TNT) and Cypress Creek United Civic Associations (CCUCA)) O'Brien, Mike (Houston Homeowners Association) HB 2683 For: Conant, Jr., Paul L. (Self) Hill, L. Susan (Texas Neighborhoods Together (TNT) and Cypress Creek United Civic Associations)


The Tournament will be Located at Cornerstone University. The address of Cornerstone is found below.
The date of the tournament has yet to be determined
Grand Rapids is a very diverse place with a lot of opportunities to make the most of your time while you are here. Below are a few options to choose from.


The first form posts to a page processing the input in elements with default attributes. The second form posts to a page which is configured as secure as possible using all available attributes to escape the output.


Orgasmic.
| DOSE: |
1 repeated |
smoked |
Cocaine |
(freebase) |
I'm fairly expierenced in drugs, but never had I tried crack cocaine, until one faithful night. Before I continue, I'd like to say that this happened over 3 months ago and I haven't touched crack since.
Most people think it's wierd that I ended up trying herion before LSD, MDMA, and coke.
My friend calls me up and tells me that he wants to smoke out, so I agree and head off to his house. (My friend's dad doesn't care about us doing drugs since he's a crackhead himself. Him and his friend actually bought it for us.) When I get there, we take out the bong and hit a few bowls. My friend then says he has something to show me, so he leads me to his garage and reaches behind some box and pulls out one of those ring box things.
I look at him wierd as he shows me the box. He opens it and explains to me what it is. I got pretty nervous, because I'm very cautious when it comes to deadly drugs. Somehow, he calms me down and talks me into taking a hit...or a few.
We walk back to his room and he takes out this metal socket and pushes a piece of brillo pad into the end of the small metal socket. My friend then proceeds to show me how to smoke it. Then, it was time...
My friend handed me the pipe and started to break off a piece of crack.  My first hit didn't do anything, because I didn't know to hold in the smoke.
All my fears of crack were now gone, and I was anxiously waiting for my first successful hit. I took the pipe and this time held in the smoke for around 30 seconds. When i exhaled it felt like an orgasm. This was truely one of the best highs I had expierenced.
Me and my friend proceeded to smoke and push the pipe until we had ran out. Wanting more we go take a hit off of his dad's friend's pipe. Once everybody runs out, we go on a crack run. My crack high was winding down and I wanted a hit pretty bad.
Luckily, we got the last pieces of the batch which my friend are the strongest and he wasn't kidding.  This crack felt incredibly stronger.  We didn't stop till we had finished, and heart was beating at an incredible pace.
I couldn't sleep at all. I wasn't high, but there was no way I could sleep.
We continued the crack smoking for 2 more days and I decided to go back home. I'll never forget those 3 days. Smoking crack is a very pleasurable thing, if not abused. Most people can't get over the addiction, like my friend's dad who is now in jail.
I'm not going to lie, if someone offered me a hit right now I'd take it. I'm in no way addicted, though. I've been without it for 3 months now and I doubt I will try it again for another couple of years. Until then, I'll stay with my best friend, mary jane.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


here's the reference for this article ©
Generally, there are very few cons to using web analytics. However, there are a couple of things to mention.
Below is a list of the cons of data analytics:
JavaScript can reveal the pages the user's are looking at, the browser they use, etc., while cookies are responsible for storing all of this information and determining visitor uniqueness.
Visitors may experience a change in the download time of your site, as the JavaScript code needed to track your pages is never zero-weight. Vendors that tout otherwise are incorrect.
Privacy is important for consumers. Issues abound concerning the types of data collected, how they are used and where they are stored. that's why most vendors issue a privacy policy notifying users of data collection procedures.


title = "Showcase | Material Maker" url = "/showcase/material-maker" layout = "showcase-item" description = "Material Maker showcase page" is_hidden = 0 == {##} {% put title %} Material Maker {% endput %} {% put author %} R0dZill4 {% endput %} {% put author_url %} https://twitter.com/R0dZill4 {% endput %} {% put release_date %} October 2019 {% endput %} {% put platforms %} windows, linux {% endput %} {% put description %}
Material Maker is a procedural materials authoring tool, based on the Godot Engine. Materials are defined as graphs where nodes create or transform textures, and can be exported for the Godot, Unity and Unreal game engines.
A base library of ~150 nodes that define shapes, patterns, filters and transforms on textures, as well as 2D and 3D shapes described as signed distance functions.
New group nodes and shader nodes can easily be created using the user interface.
{% endput %} {% put image %} material-maker.png {% endput image %} {% put placeholder %} linear-gradient(90deg, #353943 9%, #353943 29%, #353943 41%, #353943 61%) {% endput %} {% put youtube_embed_code %} PY-fCt1j2Ag {% endput %} {% put link_itch %} https://rodzilla.itch.io/material-maker {% endput %} {% put link_github %} https://github.com/RodZill4/material-maker {% endput %}


I'm Magali.
I care about systemic change. I seek to leverage technology to protect and regenerate forests at a global scale, in a meaningful, considerate, and effective way.
Currently based in San Francisco, I've lived, studied, and worked in 6 countries in the past 4 years. I speak and write English and French fluently, Dutch and Spanish professionally, and Hindi and German intermediately.
I value: intellectual curiousity, open-mindedness, mindfulness, community, and time outdoors.
I'd love to hear from you. Please reach out if you'd like to talk, collaborate, or tinker.


{% extends "/pyshop/layout.html" %} {% block maintitle %}{% endblock %} {% block subnav %}{% endblock %} {% block nav_bar %}{% endblock %} {% block nav_third %}{% endblock %} {% block toolbar %} {% endblock %} {% block main %}
We have cross-compiled many libraries for QPython, and you can send the request through https://github.com/qpython-android/qpython.org/issues
You can install or upgrade Python packages for android platform through qpython's qpypi.
Besides qpypi, you can install many pure python packages from python's pypi through pip console manually


Face Your Fears
What: Web Developer
Me, on a personal level
- Social anxiety and generalised anxiety disorder
- CBT (Cognitive behavioral therapy)
- Medication
Me, as a developer
- Impostor Syndrome: "The impostor syndrome, sometimes called impostor phenomenon or fraud syndrome, is a psychological phenomenon in which people are unable to internalize their accomplishments. Despite external evidence of their competence, those with the syndrome remain convinced that they are frauds and do not deserve the success they have achieved. Proof of success is dismissed as luck, timing, or as a result of deceiving others into thinking they are more intelligent and competent than they believe themselves to be."
- Constantly overwhelmed by the talent of others
Why am I telling you this?
Because, I'm here
The important thing is to know how to control your fear
- What was the situation: Public speaking
- What did you think would happen?: Panic attack, forget to breathe, slides won't work, people will laugh, I'll spontaneously combust
- What really happened?: It went absolutely fine
This is something we can all apply
Do it
- Give that talk
- Publish that blog post
- Upload those photos
- Open-source that code
- Make that video
- Hell, dance in the street
Just do it, whilst you can
Support each other
- Don't laugh at those you know are trying their best
- Don't mock something, offer constructive criticism. Or say nothing at all.
- Stick up for what you know to be right. Morals do still mean something
Other people are constantly facing their fears in ways you might not even know, help one another
At the end of the day...
 You can face your fears


HOLLOW MAN
Reviewed by Harvey Karten Columbia Pictures Director: Paul Verhoeven Writer: Andrew Marlowe, story co-written by Gary Scott Thompson Cast: Elisabeth Shue, Kevin Bacon, Josh Brolin, Kim Dickens, Greg Grunberg, Joey Slotnick, Mary Randle, William Devane
One of my earliest memories was of my asking my mother a philosophic question at the age of three. "Mommy," I said, mouth open with awe, "Does God see me now?" "Of course He does," my mother said, which led to my follow up, "Does He watch me when I'm sleeping?" "He does that too," was the answer, predictably enough, though I don't think I'd have made a fascinating subject doing that. Finally, with a tremor in my voice, "Mommy, does God see me when I'm in the bathroom?" "He can do that too," was the reply I fully expected, at which point I vowed that I'd always be a good boy, because who knows what could happen when I even entertained an evil thought?
Look at this from an inverted viewpoint. What would you be like if you had this Divine power to see others at any time that you wished, and others would not be able to see you in return? Would you be a cherubic person, wishing everyone the best, helping out when you could do so without being observed? Could be. But recall the famous saying of Lord Acton: Power corrupts, and absolute power corrupts absolutely. So, then. If you had this absolute power, what would you really do? In his envelope-pushing movie, Paul Verhoeven, veteran of such classic entertainments as "Showgirls," goes with the views of writers Gary Scott Thompson and Andrew W. Marlowe ("Air Force One"), and decides that a person with the power of invisibility would be corrupt. He would do evil. He would be the Devil.
Here, then, is a powerful theme to explore. If you expect Verhoeven to knock out an intellectual exercise on the nature of absolute power, you'd be sadly mistaken, and if you try to judge "Hollow Man" by literary standards, you'd be looking at the movie the wrong way. Forget literary standards. Leave that arena to the book critics. Remember that movies, particularly commercial movies, emphasize movement, action, dream-like states, and assess this tale by cinematic standards. Why? Because so far as the story line goes, the sci-fi/horror yarn is by the numbers.  You know that the villain is going to make the usual mistake in the end of talking too much instead of killing quickly. Though Plato talked about the nature of morality (do we abstain from evil because of our conscience, or because we don't want to go to jail) and Christopher Marlowe in 1616 asked the Devil to "so charme me here/That I may walke invisible to all,/doe what ere I please, unseen by any,") you won't find gems of literary wit in the movie itself.
However! For special effects Verhoeven trots out some stuff that allegedly was not do-able as recently as last year, and would have been considered way beyond the powers of filmmakers the likes of horrormeister James Whale, whose 1933 "The Invisible Man" was then considered about as far as movie makers would ever go. (That classic, which made Claude Rains a household name, was of a mad scientist who makes himself invisible and wreaks havoc on the natives of his British country village.) "Hollow Man" is more like Lambert Hilyer's 1936 film "The Invisible Ray," showing scientist Boris Karloff contracting radiation that slowly deteriorates his mind, except that in this case, power, not radiation, plays dangerous tricks on the subject's reason.
The story line is simple enough. Laboratory scientists Sebastian Caine (Kevin Bacon), Matt Kensington (Josh Brolin), Sarah (Kim Dickens), Carter Abby (Greg Grunberg), Janice (Mary Jo Randle) and Linda Foster (Elizabeth Shue) are working on a Pentagon-funded project to create invisibility--a technique that would have obvious benefits for American defense. Having successfully knocked out human visibility on a gorilla and restored the beast to perceptible form, Sebastian and his ex-sweetheart Linda decide to override protocol and experiment with a human being--without the permission of Pentagon bigwig Dr. Arthur Kramer (William Devane).
When project boss Sebastian volunteers as guinea pig, he injects himself with an irradiated serum that triumphantly turns him invisible, but alas, the scientists are unable to bring him back. He can be seen only when he sheathes himself with a special gel or when immersed in water or blanketed with steam or through special tinted glasses that the research team members possess. Guess what? Sebastian doesn't care. Fortified with some of the power of God Himself to wander about unnoticed, he can be voyeur, he can mess with people, he can even injure and kill them with impunity. Lord Acton was right. Add to the mix that Sebastian is already enraged that his former girl friend, Linda is now romantically tied to fellow scientist Matt Kensington and you have a Devil's broth to stir up for the remainder of the picture's 110 minutes. As Sebastian drives away from the lab to ponder the evil ways he will use the power, he begins by scaring a couple of kids in an adjoining car. They look at his gel-sheathed face and see a hollowed-out area where the eyes should be. They scream for their mommy. And this is just the beginning of Sebastian's descent into madness.
The most electrifying special effect is the animation given to what is known in encyclopedias and on some computer software as The Illustrated Man, a glossy and impressive display of our internal matter, from top to bottom: bones, veins, arteries, organs. Leonardo da Vinci had to cut down hanged criminals and dissect them in his lab to find out what went on internally. Centuries passed by before William Harvey told us how blood circulates. But now, photographer Jost Vacano plays doctor by seemingly taking his camera close up to the tortured body of Sebastian Caine, writhing in pain as he slowly deconstructs. The skin gives way to this internal view as we look at what our biology teacher told us is just a couple of bucks worth of chemicals. We see well beyond what an MRI can show the most experienced radiologist, and what's more the movement of these body parts is made even scarier by Jerry Goldsmith's loud and pulsating original score of tension-building discordant music.
"Stir of Echoes" veteran Kevin Bacon plays the flip side of his role in the David Koepp production just months ago, in which he was a man who, under hypnosis, could see what others could not. He makes as fine a villain here as he made a good-guy father in Jay Russell's sentimental "My Dog Skip," but because the script is not this movie's high point, he cannot bring out much three-dimensionality from Elizabeth Shue as Nicolas Cage did in the wonderful "Leaving Las Vegas." Since Sebastian is a heroic scientist at the start of the movie, volunteering to risk his life by being the first guinea pig for the experiment, Verhoeven wants us to ponder to what degree we continue to root for him even as he plummets into the madness of absolute power. "Hollow Man" shines cinematically with blockbusting effects. But considering the philosophers and writers quoted in the production notes--Christopher Marlowe and Plato, and I suppose we could throw in Dostoevski and Shakespeare and just about anyone who pondered the role of conscience and morality--much more could have been made of the narrative.
Rated R. Running Time: 110 minutes. (C) 2000 Harvey Karten<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


Please reply to<EMAIL_ADDRESS>Dear friend My proposal to you will be very surprising as we have not had any personal contact. However I sincerely seek your confidence in this transaction which I propose to you as a person of transparency and caliber Let me first start by introducing myself properly to you My name is Carlos Savimbi cousin and Personal Assistant of Jonas Malheiro Savimbi the leader UNITA (National Union for the Total independence of Angola) I got your email address from network directory I apologize if I infringed on your privacy. You may know that my Uncle was recently killed in a battle with the government troops of Angola led by President Dos Santos on friday 22nd February 2002 Now Mr Antonio Dembo who was my Uncle's second in command has assumed office as leader of UNITA In spite of this UNITA is like a herd of cattle without shepherd Prominent members like Carlos Morgado are still lobbying to oust him and assume office as leader to enrich themselves and some of them who see me as a threat to their ambitions including Mr Dembo are planning to kill me For more information check www.angola.org However I am a young man who has ambitions and I am not in any way interested in wars this is why I secretly left Angola I am sincerely seeking for your urgent help in respect to safekeeping of some of my Uncle's money that arose from Diamonds sales This money US$20 million was already on its way to my Uncle's Swiss Bank account It was on transit with a safe deposit company in Europe when the tragic incident of my Uncle's death occurred. As a matter of fact this is the reason I chose to come and seek political asylum. It is very clear with the way things are now that President Dos Santos will lobby the International Community to freeze my Uncle's assets and accounts abroad to ground UNITA since he has already done this in Angola. I plan to use this money to safeguard my future It is very essential that you understand that the kind of trust and confidence I want to put in you is extraordinary and an act of desperation on my part in order not to lose this money Please treat this contact with utmost secrecy and confidentiality for security and safety reasons. The help I need from you is clearing the box containing the money from the security company after which it will be deposited in an account in your name . The money shall remain in your custody till my asylum application is granted and I have the permit to conduct business then you will transfer the account to me Meanwhile the money can be invested into risk-free profitable ventures and there will an agreement to protect my interest. I have all the documents that will enable you claim the consignment from the security company. To make this deal relisable i need a committment from you that it will be kept confidential,your tel nd fax numbers including mobile for easy communications,your permanent address as well as some form of identification. For your reliable assistance I will reward you with 20% of the money and we shall use 5% to carry out every expenses that we incurr during the transaction and the investment process. 75%shall be for my family. I thank you in advance in anticipation for your assistance in enabling me achieve this goal. Please contact me whether or not you are interested in assisting me. This will enable me scout for another partner in the event of non-interest on your part. Please reply to<EMAIL_ADDRESS>NOTE YOUR PROMPT RESPONSE WILL BE APPRECIATED. Sincerely, CARLOS SAVIMBI. --------- This email has been sent by http://www.dogmail.co.uk. The superior free email service for dog lovers


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--- layout: post title: "QNA" subtitle: "QNA" date: 2020-05-23 23:45:13 -0400 background: '/img/posts/01.jpg' ---
filter with a size of 1x1, Similar to fc(fully connected layer)
Advantages
1. Adjusting and maintaining channels: Nonlinearity can be added to the neural network to reduce or maintain the number of channels in the volume
2.Reduce of computational cost: 1x1 convolution layer(The bottleneck layer) can be used to solve the calculation cost problem
Localization: Recognize one object and measure its position
Detection: Recognize all object in the image and measure its position
(Multiple Objects Exist)
As one of the Object Detection, This refers to the method of calculating the score by sliding the window of various scales from top left to bottom right of the image. However, Scores must be calculated multiple times from one image, making them inefficient in terms of speed.
An effective real-time object recognition algorithm (similar to classification and localization algorithms).
It split our image into cells, and Each cell is responsible for predicting several bounding boxes. (Fine grids may reduce the probability of multiple objects being assigned to the same grid cell)
Implementing a unit of convolution, it is very efficient algorithms. (Very fast for real-time)


leeco
Businessmodel of LeEco
Customer Segments
LeEco principally serves the general consumer market through its numerous interconnected products and services, including internet television, consumer electronics, video production, and technology platforms. The Company principally targets a younger segment of consumers, with its internet-focused offerings, and its business model based on the provision of online services, as opposed to the sale of physical products.
LeEco also provides a range of advertising solutions to commercial entities, brand marketers, and advertising agencies. Currently, LeEco appears to serve customers almost exclusively in China. According to reports, it has, however, begun to make inroads into the Indian and Russian markets, and plans to launch operations in the US consumer sector the near future.
Value Propositions
LeEco provides value to its customers in the following ways:
- Its extensive range of products and services, with the Company offering a broad range of internet-focused products and services, including online content, consumer electronics, and internet platforms;
- Its innovative business model, with the Company focusing on the sale of online content and subscription services, with a view to capitalising on the increasing trend of online spending, offering hardware products at low when subscriptions are purchased;
- Its commitment to research and development, with the Company committing a significant portion of its revenue to research and development activities and the creation of innovative products and services; and
- Its technical expertise and specialist experience, with the Company employing specialist personnel, with training and experience relevant to its operating activities in the technology space. ### Channels
LeEco operates a website at www.leeco.com, which provides information on the Company’s leaderships team and news coverage. Its website, however, provides little information on the Company’s activities. The Company operates an online LeMall store, through which it sells various consumer electronics products, including smartphones, televisions, audio products, and accessories.
LeEco serves its customer primarily through its online premium content, which subscribers are able to access directly through their desktop and mobile web browsers. This includes the Company’s internet television, video streaming, and other content. The Company operates sales and support teams for each of its operating regions, with offices in China, India, and the US.
LeEco also sells its hardware products through various retail affiliates, including online stores such as Letvmobilestore, and physical electronics retail outlets.
Customer Relationships
LeEco’s consumer electronics products are available to customers on a self-service basis through its online stores, as well as through its network of affiliates, which allow customers to browse products, make orders, and schedule deliveries of LeEco products without interacting with members of the Company’s sales team.
LeEco customers are also able to access the Company’s premium content on a self-service basis, once subscription memberships have been set up. These subscriptions appear typically to be bundled into product sales. The Company’s provides personal care to its customers through its sales and support staff.
Existing and potential customers are able to interact with the Company through its online support channels, as well as via LeEco’s social media accounts, including with Facebook, Twitter, LinkedIn, and YouTube.
Key Activities
LeEco is a China-based technology company, engaged primarily in the internet information service business. The Company provides various premium online content through web and mobile browsers, mobile applications, and television remote access services.
LeEco principally provides online network video services and an internet video platform, which include high-definition video streaming, the distribution of proprietary video content, and e provision of ultra-high definition display services. The Company also owns a Dongyang-based film company and a Tianjin-based media company, through which it produces its own video content.
Key Partners
LeEco operates in conjunction with a number of companies and service providers in order to provide customers with the best services possible. These partners include:
- Supplier and Service Partners, comprising suppliers of various services that support the Company’s operations, and companies to which the Company outsources certain non-technical functions;
- Manufacturing Partners, comprising various contract manufacturing companies that assist in the production, assembly, and packaging of LeEco products; and
- Distribution and Channel Partners, comprising delivery and distribution providers, and various affiliate marketing and sales partners, including online retailers and physical outlets. As part of its expansion into India, LeEco has launched partnerships with a number of companies, including a marketing tie-up with Jio Reliance for its smartphone range, and a manufacturing partnership with Taiwan’s Compal Electronics to produce smartphones locally in India.
Key Resources
LeEco’s key resources are its technologies and intellectual properties, its products and manufacturing networks, its IT infrastructure, its distribution and sales channels, its partnerships, and its personnel.
LeEco owns a number of intellectual properties, including patents and trademarks. Searches of records published by China’s State Intellectual Property Office identified a number of patent applications filed in LeEco’s name, including applications entitled ‘Operation method and system for interactive control of three-network terminals’, ‘Device and method for outputting multi-media format flow’, and ‘Data transmission system and method based on P2P (Peer-to-Peer) network and CDN’.
Cost Structure
LeEco incurs costs in relation to its research and development activities, the manufacture and distribution of its products, the operation of its sales channels, the maintenance of its It infrastructure, the management of its partnerships, and the retention of its personnel.
In 2105 LeEco recorded total operating expenses of CNY 1.84 billion (approximately $275.71 million). This included CNY 1.35 billion (approximately $202.30 million) in selling, general, and administrative expenses – including the payment of salaries and benefits to its employees.
Revenue Streams
LeEco generates revenue through the provision of various online services and the production and sale of consumer electronics products. This includes revenue derived from subscription fees for its premium online content. The Company focuses primarily on selling its internet content and services instead, offering its proprietary smartphones and televisions at low prices to those who have bought an online content membership.
In 2015 LeEco generated annual revenue of CNY 13.02 billion (approximately $1.95 billion), up on the CNY 6.82 billion (approximately $1.02 billion) recorded by the Company in 2014.


Usage: bowtie2 [options]* -x <bt2-idx> {-1 <m1> -2 <m2> | -U <r>} [-S <sam>] <bt2-idx> Index filename prefix (minus trailing .X.bt2). NOTE: Bowtie 1 and Bowtie 2 indexes are not compatible. <m1> Files with #1 mates, paired with files in <m2>. Could be gzip'ed (extension: .gz) or bzip2'ed (extension: .bz2). <m2> Files with #2 mates, paired with files in <m1>. Could be gzip'ed (extension: .gz) or bzip2'ed (extension: .bz2). <r> Files with unpaired reads. Could be gzip'ed (extension: .gz) or bzip2'ed (extension: .bz2). <sam> File for SAM output (default: stdout) <m1>, <m2>, <r> can be comma-separated lists (no whitespace) and can be specified many times. E.g. '-U file1.fq,file2.fq -U file3.fq'. Options (defaults in parentheses): Input: -q query input files are FASTQ .fq/.fastq (default) --qseq query input files are in Illumina's qseq format -f query input files are (multi-)FASTA .fa/.mfa -r query input files are raw one-sequence-per-line -c <m1>, <m2>, <r> are sequences themselves, not files -s/--skip <int> skip the first <int> reads/pairs in the input (none) -u/--upto <int> stop after first <int> reads/pairs (no limit) -5/--trim5 <int> trim <int> bases from 5'/left end of reads (0) -3/--trim3 <int> trim <int> bases from 3'/right end of reads (0) --phred33 qualities are Phred+33 (default) --phred64 qualities are Phred+64 --int-quals qualities encoded as space-delimited integers Presets: Same as: For --end-to-end: --very-fast -D 5 -R 1 -N 0 -L 22 -i S,0,2.50 --fast -D 10 -R 2 -N 0 -L 22 -i S,0,2.50 --sensitive -D 15 -R 2 -N 0 -L 22 -i S,1,1.15 (default) --very-sensitive -D 20 -R 3 -N 0 -L 20 -i S,1,0.50 For --local: --very-fast-local -D 5 -R 1 -N 0 -L 25 -i S,1,2.00 --fast-local -D 10 -R 2 -N 0 -L 22 -i S,1,1.75 --sensitive-local -D 15 -R 2 -N 0 -L 20 -i S,1,0.75 (default) --very-sensitive-local -D 20 -R 3 -N 0 -L 20 -i S,1,0.50 Alignment: -N <int> max # mismatches in seed alignment; can be 0 or 1 (0) -L <int> length of seed substrings; must be >3, <32 (22) -i <func> interval between seed substrings w/r/t read len (S,1,1.15) --n-ceil <func> func for max # non-A/C/G/Ts permitted in aln (L,0,0.15) --dpad <int> include <int> extra ref chars on sides of DP table (15) --gbar <int> disallow gaps within <int> nucs of read extremes (4) --ignore-quals treat all quality values as 30 on Phred scale (off) --nofw do not align forward (original) version of read (off) --norc do not align reverse-complement version of read (off) --end-to-end entire read must align; no clipping (on) OR --local local alignment; ends might be soft clipped (off) Scoring: --ma <int> match bonus (0 for --end-to-end, 2 for --local) --mp <int> max penalty for mismatch; lower qual = lower penalty (6) --np <int> penalty for non-A/C/G/Ts in read/ref (1) --rdg <int>,<int> read gap open, extend penalties (5,3) --rfg <int>,<int> reference gap open, extend penalties (5,3) --score-min <func> min acceptable alignment score w/r/t read length (G,20,8 for local, L,-0.6,-0.6 for end-to-end) Reporting: (default) look for multiple alignments, report best, with MAPQ OR -k <int> report up to <int> alns per read; MAPQ not meaningful OR -a/--all report all alignments; very slow, MAPQ not meaningful Effort: -D <int> give up extending after <int> failed extends in a row (15) -R <int> for reads w/ repetitive seeds, try <int> sets of seeds (2) Paired-end: -I/--minins <int> minimum fragment length (0) -X/--maxins <int> maximum fragment length (500) --fr/--rf/--ff -1, -2 mates align fw/rev, rev/fw, fw/fw (--fr) --no-mixed suppress unpaired alignments for paired reads --no-discordant suppress discordant alignments for paired reads --no-dovetail not concordant when mates extend past each other --no-contain not concordant when one mate alignment contains other --no-overlap not concordant when mates overlap at all Output: -t/--time print wall-clock time taken by search phases --un <path> write unpaired reads that didn't align to <path> --al <path> write unpaired reads that aligned at least once to <path> --un-conc <path> write pairs that didn't align concordantly to <path> --al-conc <path> write pairs that aligned concordantly at least once to <path> (Note: for --un, --al, --un-conc, or --al-conc, add '-gz' to the option name, e.g. --un-gz <path>, to gzip compress output, or add '-bz2' to bzip2 compress output.) --quiet print nothing to stderr except serious errors --met-file <path> send metrics to file at <path> (off) --met-stderr send metrics to stderr (off) --met <int> report internal counters & metrics every <int> secs (1) --no-head supppress header lines, i.e. lines starting with @ --no-sq supppress @SQ header lines --rg-id <text> set read group id, reflected in @RG line and RG:Z: opt field --rg <text> add <text> ("lab:value") to @RG line of SAM header. Note: @RG line only printed when --rg-id is set. --omit-sec-seq put '*' in SEQ and QUAL fields for secondary alignments. Performance: -o/--offrate <int> override offrate of index; must be >= index's offrate -p/--threads <int> number of alignment threads to launch (1) --reorder force SAM output order to match order of input reads --mm use memory-mapped I/O for index; many 'bowtie's can share Other: --qc-filter filter out reads that are bad according to QSEQ filter --seed <int> seed for random number generator (0) --non-deterministic seed rand. gen. arbitrarily instead of using read attributes --version print version information and quit -h/--help print this usage message


Initial Blog
Today is a bright day, a good time is near. I just finished applying for the Live Mas scholarship and I am proud of my application. In addition, to a good attempt at the scholarship, I am working on creating a Python application. The application will be a tournament generator and a score counter. I will make the application be able to score count each game in a tournament then display the score once the game is completed. I will also program the application to display the winner in the next bracket and the loser in the following.
Date:
Common views of "AI"
I was just conversing with a peer of mine, he stated "AI will save us and destroy us. They will cure cancer and old age." I attempted to explain to him that in no circumstance that computers or AI could cure cancer or end humanity. He did not want to hear that computers are dumb. He and others have a superhero or supervillain like view when AI is brought in on a conversation. He then explained to me the his worries about self-driving cars. He exclaimed, "I would never let a machine drive a car for me!". I said, "Why, not they can provide a safer alternative to human drivers". In the same conversation, two stigmas about computers and machines were brought to the surface. Moreover, The first stigma is the thought that computers can and "will" solve every problem. Computers are great but, like humans, they have their flaws. For example, a computer know's only what we tell the computer. If the boot is equal to one then that is true. Boot is nothing else to the computer unless we say it is. The mysterious legacy of the computer may never die, but it is our job as programmers to keep the beast at bay. Second is the fact that computers are untrustworthy. It seems almost contradictory, computers are going to take over humanity but, I will never trust one to drive! And the latter computers are dumb but they can be trusted Remember, I said computers only do what we tell them to. So, we can expect and predict what they will do. For example, Tesla uses video data from thousands of its customers to achieve a fully autonomous vehicle. Using billions of bytes of data Tesla Co tell's the computer what turns to make and when, when to stop, go, increase speed and so on. Computers have a bright future but, the public tends to get carried away. It is more important than ever to change the public view on AI; because it is only becoming more prevalent
Date:
developer's survey
Just a few day's ago freecodecamp and HackerRank released the developer skills report. I am pleasantly surprised by the result. Out of the total 116,648 developers that participated in the percentage of developers without a traditional bachelors degree is 31.9% for companies 1-49 employees and 8.6% for companies 10,000 or more. The halt of the traditional degree is good news in my opinion, this allows more people to attempt and become software developers in our community. It also allows for different skill sets to be recognized in the community. Some data about today's current job field were also added. For example, the most demanded language skill that hiring managers want from developers is JavaScript, followed by Python than Java. Fortunately, A moderate sum of hiring managers are recognizing that developers can learn on the job with other languages and thrive. Lastly, Developers were asked what languages do you want to learn next? Now I am new to the tech community so I am not away new popular languages. Golang or just Go is the top choice of languages almost 36 percent of developers are interested in learning next. Overall, I am glad to be aware of this study. The HackerRank developer skills report shedding some light on our field.
Why should you learn go?
Go is a new programming language which has sprung into popularity for a couple of years.


Lyrics of Love and Laughter
by Paul Laurence Dunbar
Dirge for a Soldier
Additional Information
- Year Published: 1913
- Language: English
- Country of Origin: United States of America
- Source: Dunbar, P.L. (1913). The Complete Poems of Paul Laurence Dunbar. New York: Dodd, Mead, and Company.
-
Readability:
- Flesch–Kincaid Level: 6.5
- Word Count: 282
- Genre: Poetry
- ✎ Cite This
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In the east the morning comes,
Hear the rollin’ of the drums
On the hill.
But the heart that beat as they beat
In the battle’s raging day heat
Lieth still.
Unto him the night has come,
Though they roll the morning drum.
What is in the bugle’s blast?
It is: “Victory at last!
Now for rest.”
But, my comrades, come behold him,
Where our colors now enfold him,
And his breast
Bares no more to meet the blade,
But lies covered in the shade.
What a stir there is to–day!
They are laying him away
Where he fell.
There the flag goes draped before him;
Now they pile the grave sod o’er him
With a knell.
And he answers to his name
In the higher ranks of fame.
There’s a woman left to mourn
For the child that she has borne
In travail.
But her heart beats high and higher,
With the patriot mother’s fire,
At the tale.
She has borne and lost a son,
But her work and his are done.
Fling the flag out, let it wave;
They ‘re returning from the grave—
“Double quick!”
And the cymbals now are crashing,
Bright his comrades’ eyes are flashing
From the thick
Battle–ranks which knew him brave,
No tears for a hero’s grave.
In the east the morning comes,
Hear the rattle of the drums
Far away.
Now no time for grief’s pursuing,
Other work is for the doing,
Here to–day.
He is sleeping, let him rest
With the flag across his breast.