From The Desk Of AZIZ KOFFI
Senior Staff In File Department,
African Development Bank A.D.B
Ouagadougou Burkina-Faso
West Africa.
This is my private e mail<EMAIL_ADDRESS>Private Number......00226 76 17 22 04.
PLANE CRASH WEB SITE http://www.cnn.com/2003/WORLD/africa/12/26/benin.crash/index.html
( "REMITTANCE OF $15 MILLION U.S.A DOLLARS
CONFIDENTIAL IS THE CASE")
Compliment Of The Season,
On a very good day. I am (AZIZ KOFFI) a senior
staff in file department in African developent bank (ADB).I got your
contact from a Yahoo Tourist Search.
When i was searching for a foreign partner i assured of
your capability and reliability to champion this businees opportunity when
i prayed
to God or Allah about you.In my department we discovered an abandoned sum of $ 15 million U.S.A dollars ( fifteen million U.S.A dollars) . In an account that belongs to one of our foreign customer who died along with his entire family in (friday december 26,2003 ) in a plane crash. Since we got information about his death,
we have been expecting his next of kin to come over and claim his money because we cannot release it unless somebody applies for it as next of kin or relation to the deceased as
indicated in our banking guidelines, but unfortunately we learnt that all his supposed next of kin or relation died alongside with him at the
plane crash leaving nobody behind for the claim. It is therefore upon this discovery that I and one official in my department now decided to make this businness proposal to you and release the money to you as the next of kin or relation to the deceased for safety and subsequent disbursement since nobody is coming for it and we dont want this money to go into the bank treasury as unclaimed bill.
The Banking law and guideline here stipulates that if such money remained unclamed after five years, the money will be
transfered into the Bank treasury as unclaimed fund. The request of foreigner as next of kin in this business is occasioned by the fact that the customer was a foreigner, and a Burkinabe cannot stand as next of kin to a foreigner. We agree that 30 % of this money will be for you as foreign partner, in respect to the provision of a foreign account, 10 % will be set aside for expenses incured during the business and 60 % would be for
;me and my woman colleague. There after I and my colleague will visit
your country for disbursement according to the percentages indicated.
Therefore to enable the immediate trnansfer of this fund to you as
arranged, you must apply first to the bank as relations or next of kin of
the deceased indicating your bank name, your bank account
number, your private telephone and fax number for easy and effective communication and location where the money will be remitted.Upon receipt
of your reply, I will send to you by fax or email the text of the
application I will not fail to bring to your notice that this transaction is hitch free and that you should not entertain any atom of fear as all required arrangements have been made for the transfer.
You should contact me on my number 00226 76 17 22 04.immediately as soon
as you receive this letter. reply me with this e mail address<EMAIL_ADDRESS>immediately.
Yours faithfully,
AZIZ KOFFI
POST SCRITUM:You have to keep everything secret as to
enable the
transfer to move very smoothly in to the account you will
prove to the bank.As you finished reading this letter call me
immediately so that we discuss very well over this business.Please call me and inform me that you received my mail, because i don't go to net always.
.........................................................................................
MSN Messenger : appels gratuits de PC à PC partout dans le monde !


LTSP Use Cases
Table of Contents
1 About LTSP
LTSP allows computers of a LAN to boot through the network from a single server. The benefits of using it are reduced hardware costs and reduced time of maintenance.
Hardware costs are reduced because the clients don't need to be powerful, since everything (or almost everything) runs on the server. They don't need to have a hard-disk and don't need to have much RAM.
The time of maintenance is reduced because there is only the server to be maintained, not 20-30 computers of the LAN. Installing new software, updating, upgrading etc. is done only once on the server. The reduced time of maintenance is becoming the most important benefit of using LTSP, as hardware becomes cheaper.
Besides these, LTSP has other administration and communication benefits. For example it provides centralized user accounts (a user can login to his account from any terminal). Or screen/desktop sharing (for example a teacher can show his desktop to the students for demonstration, or can see what they are doing, and even help them remotely).
In this article we will see some of the cases when LTSP can be used, and how. In all the cases there is a classroom of computers connected to a LAN, and all the computers can boot from network.
2 A Gateway Server With 2 NICs
2.1 Description
2.2 Installation
Assuming that we have installed Ubuntu-18.04, we can follow these instructions for making it a LTSP server: http://wiki.ltsp.org/wiki/Installation/Ubuntu
Use chrootless mode if all the computers on the LAN have the same architecture with the server. Otherwise use chroot mode if you have different architectures.
2.3 RaspberryPi Clients
If you have RaspberryPi clients, use one of these instructions instead:
2.4 Automated Installation
If you want to use an installation script that automates most of the configurations, follow these instructions:
Get the scripts:
git clone https://gitlab.com/Virtual-LTSP/VirtualBox ltsp cd ltsp/
Edit
settings.sh
and make sure to:- set DEVELOPMENT="no"
- set GATEWAY="yes"
- set LAN_IF to the name of the network interface connected to the LAN
- change ADMIN_PASS, GUEST_PASS, GUAC_PASS
- optionally change HOSTNAME and the PACKAGES that need to be installed on the clients
- Start the installation with:
./install.sh
However there are some things that you should be aware of:
- You should run these scripts on a fresh installation of Ubuntu-18.04 (or its derivatives, like LinuxMint-19). Otherwise, the configurations that you may have done previously may confuse the automated scripts and the result may not be as expected.
- These scripts install only a chrootless LTSP, which means that the architecture of all the clients is expected to be the same with the architecture of the server. If you have different clients, you have to make manually the necessary configurations (for example creating chroot images and changing lts.conf).
- The chrootless mode of LTSP usually works well with fat clients, which means that they should have at least 1GB RAM. However, with a desktop like Xfce (for example LinuxMint Xfce) I have noticed that a 512MB client runs ok too.
2.5 Installing in a Virtual Machine
Sometimes it is preferable to run the LTSP server on a virtual machine, because you want to install other things on the server as well (for example one or more web applications). This allows the applications to be isolated from each other, so that their requirements do not interfere. It also provides more security and stability.
It is possible to run an LTSP server on a virtual machine, if the network interfaces of the virtual machine are bridged over the physical interfaces of the server. For example see this article for how to do it with KVM: http://dashohoxha.fs.al/virtual-machine-management-on-ubuntu/
However you can also use the Virtual LTSP scripts to install almost automatically a LTSP server with VirtualBox and vagrantup:
- Install virtualbox and vagrant:
apt install virtualbox vagrant
Get the scripts:
git clone https://gitlab.com/Virtual-LTSP/VirtualBox ltsp-virtualbox cd ltsp-virtualbox/
Edit
settings.sh
and make sure to:- set DEVELOPMENT="no"
- set GATEWAY="yes"
- set LAN_IF to the name of the network interface connected to the LAN
- change ADMIN_PASS, GUEST_PASS, GUAC_PASS
- optionally change HOSTNAME and the PACKAGES that need to be installed on the clients
- optionally change VM_BOX and VM_RAM, if you want to change the base system, or to allocate more RAM to the virtual machine
- Start the installation with:
./server.sh build
It takes a lot of time to download images and to install packages, so be patient. - Use
./server.sh halt
to stop the server and./server.sh up
to start it again. Or go toltsp-server/
and usevagrant halt
andvagrant up
. You can usevagrant ssh
as well, to login to the server, if needed.
Note: In case that some of the clients do not match the architecture
of the virtual machine, you have to build manually chroot images for
them and to change the necessary configuration files (like lts.conf
).
3 A Dual-Boot Non-Gateway PC With 1 NIC
3.1 Description
There is a classroom of 20-30 identical computers connected in a LAN. These are not thin clients but decent computers with at least 1GB RAM, a hard disk, and maybe some OS installed on them (for example Windows). There is also a gateway to the Internet which provides automatic network configuration for the LAN (DHCP and DNS services).
For some reasons it is not possible to install a LTSP server on the gateway (maybe it is just a switch/router, maybe there is something else installed on the gateway, maybe we simply don't have permission to access it and install things on it, etc.)
However let's assume that we can access computers of the classroom and we can make one of them dual-boot with Ubuntu-18.04 (or LinuxMint-19). In this case it is possible to make it a LTSP server for the rest of the computers of the classroom.
I think that this is the most common situation nowadays in a lot of small schools (a classroom of computers installed with Windows, connected to a LAN, with a switch/router that provides internet services).
Since all the computers on the LAN are identical with the LTSP server, the chrootless mode installation of LTSP is the most suitable one. In this mode of installation the server is used as a template for the clients. Whatever is installed on the server will also be available to the clients. The fact that the clients are fat (1GB of RAM or more) means that all the applications will run locally on the client, so the server itself does not need to have much RAM or to be powerful.
In this case, the LTSP server has only one network interface (NIC) that is connected to the LAN and it does not have to offer (and it should not offer) internet services (DHCP+DNS+NAT). The clients can get these services from the router/gateway.
3.2 Installation
Assuming that we have installed Ubuntu-18.04 on one of the computers (maybe as a dual-boot, without destroying the existing system), we can follow these instructions for making it a LTSP server: http://wiki.ltsp.org/wiki/Installation/Ubuntu
As mentioned in the previous section, we should use the chrootless mode of LTSP and we should not configure any NAT or DHCP range.
3.3 Automated Installation
For an almost automated installation, you can use Virtual-LTSP scripts like this:
Get the scripts:
git clone https://gitlab.com/Virtual-LTSP/VirtualBox ltsp cd ltsp/
Edit
settings.sh
and make sure to:- set DEVELOPMENT="no"
- set GATEWAY="no", since the server is not offering gateway/internet services
- set LAN_IF to the name of the network interface connected to the LAN
- change ADMIN_PASS, GUEST_PASS, GUAC_PASS
- optionally change HOSTNAME and the PACKAGES that need to be installed on the clients
- Start the installation with:
./install.sh
You should run these scripts on a fresh installation of Ubuntu-18.04 (or its derivatives, like LinuxMint-19). Otherwise, the configurations that you may have done previously may confuse the automated scripts and the result may not be as expected.
These scripts install a chrootless LTSP, which is OK since all the clients are identical to the server. If you also have clients that are different from the server, you have to make manually the necessary configurations (for example creating chroot images and changing lts.conf).
4 A Laptop That Can Be Connected To The LAN
4.1 Description
There is a LAN connected to the internet through a gateway, but we don't have access or permission to make changes neither to the gateway, nor to the computers of the LAN. However we can connect our laptop to the LAN with a network cable.
In this case it is possible to install a LTSP server in our laptop and boot the computers of the LAN from it.
4.2 Installation
Assuming that we have installed Ubuntu-18.04 on the laptop (maybe as a dual-boot), we can follow these instructions for making it a LTSP server: http://wiki.ltsp.org/wiki/Installation/Ubuntu
We should not configure any NAT or DHCP range, as there is only one NIC connected to the LAN, and the LAN already has a gateway and DHCP server.
4.3 Automated Installation
If we have a fresh installation of Ubuntu-18.04 (or its derivatives, like LinuxMint-19) as a dual-boot system, we can use Virtual-LTSP scripts like this:
Get the scripts:
git clone https://gitlab.com/Virtual-LTSP/VirtualBox ltsp cd ltsp/
Edit
settings.sh
and make sure to:- set DEVELOPMENT="no"
- set GATEWAY="no", since the server is not offering gateway/internet services
- set LAN_IF to the name of the network interface connected to the LAN
- change ADMIN_PASS, GUEST_PASS, GUAC_PASS
- optionally change HOSTNAME and the PACKAGES that need to be installed on the clients
- Start the installation with:
./install.sh
These scripts install only a chrootless LTSP, which means that the architecture of all the clients is expected to be the same with the architecture of the laptop. If you have different clients, you have to make manually the necessary configurations (for example creating chroot images and changing lts.conf).
4.4 Installing in a Virtual Machine
If the laptop has enough RAM (4GB or more), we can also install a LTSP server on a VirtualBox machine. The most easy way is to use the Virtual LTSP scripts:
- Install virtualbox and vagrant:
apt install virtualbox vagrant
Get the scripts:
git clone https://gitlab.com/Virtual-LTSP/VirtualBox ltsp-virtualbox cd ltsp-virtualbox/
Edit
settings.sh
and make sure to:- set DEVELOPMENT="no"
- set GATEWAY="no"
- set LAN_IF to the name of the network interface connected to the LAN
- change ADMIN_PASS, GUEST_PASS, GUAC_PASS
- optionally change HOSTNAME and the PACKAGES that need to be installed on the clients
- optionally change VM_BOX and VM_RAM, if you want to change the base system, or to allocate more RAM to the virtual machine
- Start the installation with:
./server.sh build
It takes a lot of time to download images and to install packages, so be patient. - Use
./server.sh halt
to stop the server and./server.sh up
to start it again. Or go toltsp-server/
and usevagrant halt
andvagrant up
. You can usevagrant ssh
as well, to login to the server, if needed.
Note: In case that some of the clients do not match the architecture
of the virtual machine, you have to build manually chroot images for
them and to change the necessary configuration files (like lts.conf
).


Model¶
CTDNN¶
FULL-INFO TRAINING FOR DEEP SPEAKER FEATURE LEARNING. Lantian Li, Zhiyuan Tang, Dong Wang, Thomas Fang Zheng
-
class
pyasv.model.ctdnn.
CTDnn
(config)[source]¶ Attributes: feature
A
property
member to get feature.loss
A
property
member to get loss.prediction
A
property
member to do predict operation.
Methods
run
(train_frames, train_labels[, …])Run the ctdnn model. run_predict
(enroll_frames, enroll_labels, …)Run prediction, will save the result to save_path -
__init__
(config)[source]¶ Create ctdnn model.
Parameters: - config :
config
class. The config of ctdnn model, no extra need.
Notes
The compute graph will not be created by
__init__
function.- config :
-
feature
¶ A
property
member to get feature.Returns: - feature :
tf.operation
- feature :
-
loss
¶ A
property
member to get loss.Returns: - loss :
tf.operation
- loss :
-
prediction
¶ A
property
member to do predict operation.Returns: - prediction :
tf.operation
- prediction :
-
run
(train_frames, train_labels, enroll_frames=None, enroll_labels=None, test_frames=None, test_labels=None, need_prediction_now=False)[source]¶ Run the ctdnn model. Will save model to save_path/ and save tensorboard to save_path/graph/.
Parameters: - train_frames :
list
ornp.ndarray
The feature array of train dataset.
- train_labels :
list
ornp.ndarray
The label array of train dataset.
- enroll_frames :
list
ornp.ndarray
The feature array of enroll dataset.
- enroll_labels :
list
ornp.ndarray
The label array of enroll dataset.
- test_frames :
list
ornp.ndarray
The feature array of test dataset.
- test_labels :
list
ornp.ndarray
The label array of test dataset.
- need_prediction_now :
bool
if True we will create predict graph and run predict now. if False we will exit after training.
- train_frames :
-
run_predict
(enroll_frames, enroll_labels, test_frames, test_labels)[source]¶ Run prediction, will save the result to save_path
Parameters: - enroll_frames :
list
ornp.ndarray
The feature array of enroll dataset.
- enroll_labels :
list
ornp.ndarray
The label of enrol dataset.
- test_frames :
list
ornp.ndarray
The feature array of test dataset.
- test_labels :
The label of test dataset.
- enroll_frames :
DeepSpeaker¶
Deep Speaker: an End-to-End Neural Speaker Embedding System. Chao Li∗, Xiaokong Ma∗, Bing Jiang∗, Xiangang Li ∗ Xuewei Zhang, Xiao Liu, Ying Cao, Ajay Kannan, Zhenyao Zhu
-
class
pyasv.model.deep_speaker.
DeepSpeaker
(config, out_channel=[64, 128, 256, 512])[source]¶ Attributes: Methods
run
(train_frames, train_labels[, …])Run the deep speaker model. -
__init__
(config, out_channel=[64, 128, 256, 512])[source]¶ Create deep speaker model.
Parameters: - config :
config
class. The config of ctdnn model, no extra need.
- out_channel :
list
The out channel of each res_block.:
out_channel = [64, 128, 256, 512]
Notes
There is no predict operation in deep speaker model. Because we use the output of last layer as speaker vector. we can use DeepSpeaker.feature to get these vector.
- config :
-
feature
¶ A
property
member to get feature.Returns: - feature :
tf.operation
- feature :
-
loss
¶ A
property
member to get loss.Returns: - loss :
tf.operation
- loss :
-
run
(train_frames, train_labels, enroll_frames=None, enroll_labels=None, test_frames=None, test_labels=None)[source]¶ Run the deep speaker model. Will save model to save_path/ and save tensorboard to save_path/graph/.
Parameters: - train_frames :
list
ornp.ndarray
The feature array of train dataset.
- train_labels :
list
ornp.ndarray
The label array of train dataset.
- enroll_frames :
list
ornp.ndarray
The feature array of enroll dataset.
- enroll_labels :
list
ornp.ndarray
The label array of enroll dataset.
- test_frames :
list
ornp.ndarray
The feature array of test dataset.
- test_labels :
list
ornp.ndarray
The label array of test dataset.
- train_frames :
-
Max Feature Map model¶
DEEP CNN BASED FEATURE EXTRACTOR FOR TEXT-PROMPTED SPEAKER RECOGNITION. Sergey Novoselov1,2, Oleg Kudashev2, Vadim Shchemelinin1, Ivan Kremnev3, Galina Lavrentyeva1
-
class
pyasv.model.max_feature_map_dnn_model.
MaxFeatureMapDnn
(config)[source]¶ Attributes: feature
A
property
member to get feature.loss
A
property
member to get loss.prediction
A
property
member to do predict operation.
Methods
run
(train_frames, train_labels[, …])Run the MFM model. run_predict
(enroll_frames, enroll_labels, …)Run prediction, will save the result to save_path -
__init__
(config)[source]¶ Create Max feature Map model.
Parameters: - config :
config
class. The config of MFM model, no extra need.
Notes
The compute graph will not be created by
__init__
function.- config :
-
feature
¶ A
property
member to get feature.Returns: - feature :
tf.operation
- feature :
-
loss
¶ A
property
member to get loss.Returns: - loss :
tf.operation
- loss :
-
prediction
¶ A
property
member to do predict operation.Returns: - prediction :
tf.operation
- prediction :
-
run
(train_frames, train_labels, enroll_frames=None, enroll_labels=None, test_frames=None, test_labels=None, need_prediction_now=False)[source]¶ Run the MFM model. Will save model to save_path/ and save tensorboard to save_path/graph/.
Parameters: - train_frames :
list
ornp.ndarray
The feature array of train dataset.
- train_labels :
list
ornp.ndarray
The label array of train dataset.
- enroll_frames :
list
ornp.ndarray
The feature array of enroll dataset.
- enroll_labels :
list
ornp.ndarray
The label array of enroll dataset.
- test_frames :
list
ornp.ndarray
The feature array of test dataset.
- test_labels :
list
ornp.ndarray
The label array of test dataset.
- need_prediction_now :
bool
if True we will create predict graph and run predict now. if False we will exit after training.
- train_frames :
-
run_predict
(enroll_frames, enroll_labels, test_frames, test_labels)[source]¶ Run prediction, will save the result to save_path
Parameters: - enroll_frames :
list
ornp.ndarray
The feature array of enroll dataset.
- enroll_labels :
list
ornp.ndarray
The label of enrol dataset.
- test_frames :
list
ornp.ndarray
The feature array of test dataset.
- test_labels :
The label of test dataset.
- enroll_frames :


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If you have any questions, please contact us.
Thanks,
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Effective Date: February 15 2014


- lifecycleOwner - Variable in class com.cmput301w20t10.uberapp.database.util.GetTaskSequencer
-
- LifecycleOwnerMock - Class in com.cmput301w20t10.uberapp.util
-
Mocks Android's LifecycleOwner
Reference:
Website Title: Android – Working with live data and custom life cycle owners.
- LifecycleOwnerMock() - Constructor for class com.cmput301w20t10.uberapp.util.LifecycleOwnerMock
-
- liveDataObserver(Runnable, Object) - Method in class com.cmput301w20t10.uberapp.util.DatabaseTestBase
-
Pauses the thread to wait for results
Reference:
Website title: Simple way to test asynchronous actions in Android: Service, AsyncTask, Thread, RxJava etc.
- LiveDataTester<Result> - Class in com.cmput301w20t10.uberapp.util
-
Create a better live data tester to remove boilerplate code in testing
- LiveDataTester(Handler, AtomicReference<Result>, AssertObserverBase<Result>, LifecycleOwner) - Constructor for class com.cmput301w20t10.uberapp.util.LiveDataTester
-
- loadHomeActivity() - Method in class com.cmput301w20t10.uberapp.activities.SharedPref
-
- loadNightModeState() - Method in class com.cmput301w20t10.uberapp.activities.SharedPref
-
- loadPassword() - Method in class com.cmput301w20t10.uberapp.activities.SharedPref
-
- loadRememberMeState() - Method in class com.cmput301w20t10.uberapp.activities.SharedPref
-
- loadRideRequest() - Method in class com.cmput301w20t10.uberapp.activities.SharedPref
-
- loadUsername() - Method in class com.cmput301w20t10.uberapp.activities.SharedPref
-
- loadUserType() - Method in class com.cmput301w20t10.uberapp.activities.SharedPref
-
- LoginActivity - Class in com.cmput301w20t10.uberapp.activities
-
- LoginActivity() - Constructor for class com.cmput301w20t10.uberapp.activities.LoginActivity
-
- loginAsDefaultRider() - Method in class com.cmput301w20t10.uberapp.BasicDAOTest
-
- loginAsDriver() - Method in class com.cmput301w20t10.uberapp.BasicDAOTest
-
- logInAsDriver(String, String, LifecycleOwner) - Method in class com.cmput301w20t10.uberapp.database.dao.DriverDAO
-
Attempts to log the user in as a driver.
- logInAsDriver(String, String, LifecycleOwner) - Method in class com.cmput301w20t10.uberapp.database.dao.LoginRegisterDAO
-
Logs the user in as a driver and checks if the given credentials are valid.
- logInAsDriver(String, String, LifecycleOwner) - Method in class com.cmput301w20t10.uberapp.database.DatabaseManager
-
- loginAsDriverTest() - Method in class com.cmput301w20t10.uberapp.BasicDAOTest
-
- logInAsRider(String, String, LifecycleOwner) - Method in class com.cmput301w20t10.uberapp.database.dao.LoginRegisterDAO
-
Logs the user in as a rider and checks if the given credentials are valid.
- logInAsRider(String, String, LifecycleOwner) - Method in class com.cmput301w20t10.uberapp.database.dao.RiderDAO
-
Attempts to log the user in as a rider.
- logInAsRider(String, String, LifecycleOwner) - Method in class com.cmput301w20t10.uberapp.database.DatabaseManager
-
- loginAsRiderTest() - Method in class com.cmput301w20t10.uberapp.BasicDAOTest
-
Reference: medium.com/android-development-by-danylo/simple-way-to-test-asynchronous-actions-in-android-service-asynctask-thread-rxjava-etc-d43b0402e005
https://androidoverride.wordpress.com/2017/05/27/android-working-with-live-data-and-custom-life-cycle-owners/
- LoginRegisterDAO - Class in com.cmput301w20t10.uberapp.database.dao
-
Data Access Object (DAO) for all login and registration related functions.
- LoginRegisterDAO() - Constructor for class com.cmput301w20t10.uberapp.database.dao.LoginRegisterDAO
-
- LoginRegisterDAO(FirebaseFirestore) - Constructor for class com.cmput301w20t10.uberapp.database.dao.LoginRegisterDAO
-
- LogOut - Class in com.cmput301w20t10.uberapp
-
- LogOut() - Constructor for class com.cmput301w20t10.uberapp.LogOut
-


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|
Fusion3D
Version 6.04
|
Maintains the central index for vector overlay files. More...
#include <vector_index_class.h>
Public Member Functions | |
| vector_index_class (int nmax) | |
| Constructor. More... | |
| ~vector_index_class () | |
| Destructor. More... | |
| int | add_file (string name, int type, float redi, float grni, float blui, float hoff, int altMode, int fillMode, int annFlag) |
| Add a file to the index. More... | |
| int | del_file (int ifile) |
| Delete a file. More... | |
| int | set_update_flag (int type, int val) |
| Set the update flag. More... | |
| int | set_vis (int ifile, int val) |
| Set the visibility of file ifile. More... | |
| int | set_rendered_flag (int ifile, int val) |
| Set the rendered flag of file ifile. More... | |
| int | clear_all () override |
| Reset class. More... | |
| int | read_tagged (const char *filename) |
| Read file in tagged ascii format. More... | |
| int | write_parms (FILE *out_fd, int type) |
| Write current vector overlay filenames to output Project File. More... | |
| int | get_update_flag (int type) |
| Get the update flag. More... | |
| int | get_n () |
| Get the total number of files in the index. More... | |
| const char * | get_name (int ifile) |
| Get the pathname for the given index. More... | |
| const char * | get_name_nopath (int ifile) |
| Get the filename without path for the given index. More... | |
| int | get_type (int ifile) |
| Get the type for the given index. More... | |
| int | get_vis (int ifile) |
| Get the visibility for the given index. More... | |
| int | get_rgb (int ifile, float &redo, float &grno, float &bluo) |
| Get the color for the given index. More... | |
| float | get_elev_offset (int ifile) |
| Get the elevation offset in m for the given index. More... | |
| int | get_default_alt_mode (int ifile) |
| Get the default altitude mode for the given index. More... | |
| int | get_default_fill_mode (int ifile) |
| Get the default fill mode for the given index. More... | |
| int | get_annotation_flag (int ifile) |
| Get the annotation flag for the given index. More... | |
| int | get_rendered_flag (int ifile) |
| Get the rendered flag for the given index. More... | |
| Public Member Functions inherited from base_jfd_class | |
| base_jfd_class () | |
| Constructor. More... | |
| virtual | ~base_jfd_class () |
| Destructor. More... | |
| int | set_diag_flag (int flag) |
| Set level of diagnostics. More... | |
| int | register_coord_system (gps_calc_class *gps_calc_in) |
| Register the common gps_calc_class for defining the current coordinate systems and transformations between them. More... | |
| const char * | get_type () |
| Get the name of the class. More... | |
| int | warning (int oiv_window_flag, const char *message) |
| Open dialog window with warning. More... | |
| int | warning_s (string cmessage, string smessage) |
| Open dialog window with 2-part warning message. More... | |
| int | exit_safe (int oiv_window_flag, const char *message) |
| Open dialog window with fatal error message. More... | |
| int | exit_safe_s (string message, string smessage) |
| Open dialog window with fatal error message. More... | |
| virtual int | read_file (string sfilename) |
| Read file: all functions including open, read header and data and close – Virtual. More... | |
| virtual int | read_file_open (string sfilename) |
| Read file: only the open part of the entire read-file – Virtual. More... | |
| virtual int | read_file_header () |
| Read file: only the read-header part of the entire read-file – Virtual. More... | |
| virtual int | read_file_data () |
| Read file: only the read-data part of the entire read-file – Virtual. More... | |
| virtual int | read_file_close () |
| Read file: only the close part of the entire read-file – Virtual. More... | |
| virtual int | write_file (string sfilename) |
| Write file: entire process of open, write header and data and close – Virtual. More... | |
| virtual int | write_parms (FILE *tiff_fd) |
| Write parameters to the currently opened ASCII file – for saving all relevent parameters to an output Parameter file. More... | |
Additional Inherited Members | |
| Protected Attributes inherited from base_jfd_class | |
| int | diag_flag |
| Diagnostic level – 0=none, 1=little, 2=moderate, 3=heavy. More... | |
| int | opsys_flag |
| Operating system – 0=unix, 1=windows, 2=linux. More... | |
| char * | class_type |
| Unique name for each child class. More... | |
| int | localCoordFlag |
| Coord systems – -1=unknown local coord system, 0=local same as global, Positive=EPSG where known local coord different from global. More... | |
| gps_calc_class * | gps_calc |
| Coord systems – Worker class to define global coordinate systems and transformations. More... | |
Maintains the central index for vector overlay files.
Allows filenames and pathnames for vector overlay file to be fetched that meet certain criteria. These criteria include the type of data, and the location (the name of the map they are associated with).
type_flags
0 = "map" – KML from DEM fileset – display but do not write
1 = "display" – display only, cant edit or animate
2 = "bookmarks" – bookmarks (can edit, jump to) 3 = "mti" – GMTI – adds special processing for GMTI data
4 = "track" – adds special processing for time/motion and measuring distance
5 = "sensorml" – adds special processing for ugs SensorML 6 = "om" – adds special processing for ugs OM 7 = 'draw" -- files for drawing, typically military scenarios
8 = 'cad" – files for CAD models 99 = deleted
vis_flags 1 if file is currently visible, 0 if invisible.
update_flags Per type, 1 if all overlays of that type need update, 0 if not.
| vector_index_class::vector_index_class | ( | int | nmax | ) |
Constructor.
| vector_index_class::~vector_index_class | ( | ) |
Destructor.
| int vector_index_class::add_file | ( | string | name, |
| int | type, | ||
| float | redi, | ||
| float | grni, | ||
| float | blui, | ||
| float | hoff, | ||
| int | altMode, | ||
| int | fillMode, | ||
| int | annFlag | ||
| ) |
Add a file to the index.
Sets flag that file has not yet been rendered.
| name | athname of file to be added |
| type | Type of file (see above) |
| redi | Color of overlay – red [0,1] |
| grni | Color of overlay – green [0,1] |
| blui | Color of overlay – blue [0,1] |
| hoff | Elevation offset in m |
| altMode | Altitude mode: 0=clamp-to-ground, 1=rel-to-ground, 2=absolute, 3=rel-to-file-attribute |
| fillMode | Polygon fill mode: 0=wireframe, 1=fill |
| annFlag | Annotation flag: 0=SoSeparator (mix with map), 1=SoAnnotation (on top of all map elements) |
|
overridevirtual |
Reset class.
Reimplemented from base_jfd_class.
| int vector_index_class::del_file | ( | int | ifile | ) |
Delete a file.
Sets the type to 99 effectively deleting it.
| int vector_index_class::get_annotation_flag | ( | int | ifile | ) |
Get the annotation flag for the given index.
| int vector_index_class::get_default_alt_mode | ( | int | ifile | ) |
Get the default altitude mode for the given index.
| int vector_index_class::get_default_fill_mode | ( | int | ifile | ) |
Get the default fill mode for the given index.
| float vector_index_class::get_elev_offset | ( | int | ifile | ) |
Get the elevation offset in m for the given index.
| int vector_index_class::get_n | ( | ) |
Get the total number of files in the index.
| const char * vector_index_class::get_name | ( | int | ifile | ) |
Get the pathname for the given index.
| const char * vector_index_class::get_name_nopath | ( | int | ifile | ) |
Get the filename without path for the given index.
| int vector_index_class::get_rendered_flag | ( | int | ifile | ) |
Get the rendered flag for the given index.
| int vector_index_class::get_rgb | ( | int | ifile, |
| float & | redo, | ||
| float & | grno, | ||
| float & | bluo | ||
| ) |
Get the color for the given index.
| int vector_index_class::get_type | ( | int | ifile | ) |
Get the type for the given index.
| int vector_index_class::get_update_flag | ( | int | type | ) |
Get the update flag.
If the update flag for a particular type of vector overlay is set, then all overlays of this type will be updated
| type | Type of data to be updated |
| int vector_index_class::get_vis | ( | int | ifile | ) |
Get the visibility for the given index.
Returns 1 for visible, 0 for not visible.
| int vector_index_class::read_tagged | ( | const char * | filename | ) |
Read file in tagged ascii format.
Read in operational parameters from the standard tagged ascii format.
| int vector_index_class::set_rendered_flag | ( | int | ifile, |
| int | val | ||
| ) |
Set the rendered flag of file ifile.
| ifile | File number |
| val | 0 for file not rendered yet, 1 for file rendered (transfered to local manager storage) |
| int vector_index_class::set_update_flag | ( | int | type, |
| int | val | ||
| ) |
Set the update flag.
| type | Type of data to be updated |
| val | 1 if needs update, 0 if no update needed. |
| int vector_index_class::set_vis | ( | int | ifile, |
| int | val | ||
| ) |
Set the visibility of file ifile.
Set visibility (0=invisible, 1=visible).
| int vector_index_class::write_parms | ( | FILE * | out_fd, |
| int | type | ||
| ) |
Write current vector overlay filenames to output Project File.
Method designed not to be called directly but to be called by manager for each particular file type.


What Does The Fantasy Sports Industry Look Like In The U.S. Right Now?
by QuoraFantasy sports in the U.S. continues to grow and shows no signs of slowing down. The U.S. fantasy sports industry has grown from an estimated 32 million players in the US + Canada in 2010 to 59.3 million in 2017. And the industry grew in the U.S. from 42 million in 2015 to 45.9 million in 2019 (all stats according to TheFSGA.org).
With the Supreme Court in the US overturning the Federal law (PASPA) that had essentially limited sports betting to Nevada, individual states are passing laws to enable legal sports betting. So far in 2019, 17 states have passed laws to legalize sports betting (many are still in the stage of writing regulations and not live yet). These new laws will have an impact on the fantasy sports industry.
While some fear that sports betting will crowd out fantasy sports, so far the evidence is that sports betting will only enhance the growth of fantasy sports. A survey from the FSGA showed that 87 percent of fantasy players in states with legal sports betting played the same or more fantasy sports than the prior year. DraftKings has said that fantasy sports players in New Jersey continue to grow even with the rapid growth of sports betting in the state.


{% markdown pages/screencasts.md %}
--- title: Screencasts layout: default sitemap: true header_title: Screencasts header_icon: /assets/images/icons/icn-training.svg header_caption: Learn how to use Kong by watching these short videos --- {% include header.html %}


Analysis on Fractals
The Sierpinski Gasket
-
Let \(V_0 = \{q_0, q_1, q_2\} \in \mathbb{R}^2\) and \(F_i(x) = \frac{1}{2}(x+q_i)\) for \(i=0,1,2\). Then \[SG = \overline{\bigcup_{m=1}^{\infty}\bigcup_\limits{|w|=m}F_w(V_0)}\]
-
We work on the finite graph approximation \(V_m = \bigcup_{|w|=m}F_{w}(V_0)\)
Level 4 Graph Approximation of SG
Preliminary Definitions
-
Let \(u: SG \mapsto \mathbb{R}\). Then the Laplacian \(\Delta_{\mu}\) is defined as \[\Delta_{\mu}u(x) = \frac{3}{2}\lim_{m \to \infty}5^m\Delta_mu(x)\]
-
\(G: SG \times SG \mapsto R\) is called Green’s Function where \[-\Delta u = f, u|_{V_0} = 0 \iff u(x) = \int_{SG}G(x,y)f(y)\,d\mu\]
-
\(\partial_nu(q_i)\) is the normal derivative of \(u\) at \(q_i\) where \[\partial_nu(q_i) = \lim_{m \to \infty}\Big(\frac{5}{3}\Big)^m(2u(q_i) - u(F^{m}_{i+1}q_i) - u(F^{m}_{i-1}q_i))\]
-
\(\partial_Tu(q_i)\) is the tangential derivative of \(u\) at \(q_i\) where \[\partial_{T}u(q_i) = \lim_{m\to\infty}5^m(u(F^{m}_{i+1}q_i) - u(F^{m}_{i-1}q_i))\]


MAKING OF THE BLOB
In general when I start working on an experiment I have no idea what the final product is going to look like and quite often I'll just abandon the idea after a few rough prototypes. The blob seemed to have a lot a of potential from day one, so I took the time to make each commit a mini-milestone and also included a small description of what was accomplished. Thanks to the magic of git, below you can see and interact with each version of the blob (Unfortunately not every version will work in every browser).


This site presents information on the sales of salmon cookies. Below is a table presenting how many cookies, it is estimated, are needed at each store for each hour as well as a total number for the day.


Check your answers before sending your application
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| Full name | {{name}} | Change name |
| {{email}} | Change email address | |
| Date of birth | {{dob_day}} {{dob_month | string_month }} {{dob_year}} | Change date of birth |
| Location | {{Country}} | Change country |
| Research type |
{% if Country == "United Kingdom" %}
{% if research_locations_1%}
Visit a government research lab At a government building in a city near you {% endif %} {% if research_locations_2%} Have us visit you Have a GOV.UK researcher visit you at home or work {% endif %} {% if research_locations_3%} Online sessions Participate in an online session {% endif %} {% else %} Online sessions {% endif%} |
{% if Country == "United Kingdom" %} Change research types {% endif %} |
| Postcode | {{ postcode | upper }} | Change your postcode |
Now send your application
By submitting this notification you are confirming that, to the best of your knowledge, the details you are providing are correct.
#}


Information about all the trackers tracking you based on websites you have visited
Information about all the websites visited by the user


For the
fun
love
ease
of fit.
At cult.fit, we strive to keep you fit & healthy through a range of holistic offerings that
include fitness and yoga,
healthy meals, mental wellbeing and primary care. Now anyone can now stay healthy from the
safety of their homes with
just a single app that helps you to #BeBetterEveryDay


The subjects in the CT suicide death data were patients who have been hospitalized for suicide attempt or intentional self-injury during fiscal year 2005 to 2012.
A total of 22,221 patients were followed up until September 30, 2012. Among them, 16,208 (73%) were white (9,108 female and 7,100 male) and 6,013 (27%) were non-white (3,220 female and 2,793 male). The number of event (suicidal death) was only 606 and thus the censoring rate was about 97.3%.
We are interested in the time since hospitalization due to suicide attempts to suicidal death of those patients.
A Docker image for this project is publicly available at Docker Hub: https://hub.docker.com/r/wenjie2wang/statds-spring2018/
pull it by the following command
Bergstra, James, and Yoshua Bengio. 2012. “Random Search for Hyper-Parameter Optimization.” Journal of Machine Learning Research 13 (Feb):281–305.
Breiman, Leo. 2001. “Random Forests.” Machine Learning 45 (1):5–32. https://doi.org/10.1023/A:1010933404324.
Cox, David R. 1975. “Partial Likelihood.” Biometrika 62 (2). Biometrika Trust:269–76.
Dazard, Jean-Eudes, Hemant Ishwaran, Rajeev Mehlotra, Aaron Weinberg, and Peter Zimmerman. 2018. “Ensemble Survival Tree Models to Reveal Pairwise Interactions of Variables with Time-to-Events Outcomes in Low-Dimensional Setting.” Statistical Applications in Genetics and Molecular Biology 17 (1).
Harrell, Frank E, Kerry L Lee, and Daniel B Mark. 1996. “Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors.” Statistics in Medicine 15 (4). Wiley Online Library:361–87.
Ioffe, Sergey, and Christian Szegedy. 2015. “Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.” In International Conference on Machine Learning, 448–56.
Ishwaran, Hemant, Udaya B. Kogalur, Eugene H. Blackstone, and Michael S. Lauer. 2008. “Random Survival Forests.” The Annals of Applied Statistics. JSTOR, 841–60.
Ishwaran, Hemant, Udaya B Kogalur, Eiran Z Gorodeski, Andy J Minn, and Michael S Lauer. 2010. “High-Dimensional Variable Selection for Survival Data.” Journal of the American Statistical Association 105 (489). Taylor & Francis:205–17.
Katzman, J., U. Shaham, J. Bates, A. Cloninger, T. Jiang, and Y. Kluger. 2016. “DeepSurv: Personalized Treatment Recommender System Using a Cox Proportional Hazards Deep Neural Network.” ArXiv E-Prints, June.
Srivastava, Nitish, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. “Dropout: A Simple Way to Prevent Neural Networks from Overfitting.” The Journal of Machine Learning Research 15 (1). JMLR. org:1929–58.


Help the open and free web flourish. Support me by buying a coffee for me.
Do you like my work? Your appreciation means alot to me. Buy me a cup of coffee. Coffee keeps me going during those late hours. Click below to send me donation of your choice.
If you need any help related to this app click on Github Issues


Access to comprehensive, quality health care services is important for promoting and maintaining health, preventing and managing disease, reducing unnecessary disability and premature death, and achieving health equity for all Americans. Our dataset shows that states that have the highest percentage of their population lacking in healthcare also have the highest percentage of population with major health risks.
Poverty: Some population groups living in poverty may have more adverse health outcomes than others. For example, the risk for chronic conditions such as heart disease, diabetes, and obesity is higher among those with the lowest income and education levels.
Obesity: Being overweight or obese can have a serious impact on health. Carrying extra fat leads to serious health consequences such as cardiovascular disease (mainly heart disease and stroke), type 2 diabetes, musculoskeletal disorders like osteoarthritis, and some cancers (endometrial, breast and colon).
Smoking: Smoking tobacco damages your heart and blood vessels (cardiovascular system), increasing your risk of heart disease and stroke. It's a major cause of coronary heart disease, which can lead to a heart attack. Smoking causes high blood pressure, lowers your ability to exercise, and makes your blood more likely to clot.


All Classes
Actor
Board
Board.ChallengeType
BombBox
Box
Direction
Enemy
Exit
Exit.Action
Game
Logger
Logger.LoggingType
MenuBoard
Player
TwoPlayerBoard


Solution to 'Invitation to Discrete Mathematics'
by Choong-il Ryu
As of March 2018, I’m taking a Mook course regaring discrete mathematics from Coursera. Unfortunately, the video lecture coverage is too narrow to understand the subject and to confidently solve assignments and quiz, which is why many students complain about the course. However, as beauty is in the eye of the beholder, I decided to see the bright side and to take this opportunity to study the given textbook thoroughly.
Despite I will probably drop the course, I hope I won’t give up the textbook and make this solution page to keep growing.
Section 1.2
Question 1a
If is odd, let where .
Although we found the solution, let’s do the similar math for even where .
Consequently, .
Question 1b
Let’s consider three cases of (n,k) is (even,even), (even,odd), or (odd,odd).
When (even,even), let , where .
When (even,odd), let ,
When (odd,odd), let ,
Consequently, .
Question 1c
Let , where m , p ,
Question 1d
Let , , where m, n and p, q ,
Question 2 ☆
Let ,
Question 3a
Question 3b
Question 3c
5 ways:
Question 3d ☆☆
Question 4
Question 5
does not imply .
Question 6
Question 7
Represent each number as , where . Since can attain at most 500 distinct values from , the considered set contains two numbers of form and TBD..
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Debugbar allows you to easily debug your app.
You can debug pretty much everything: queries, routes, messages, mails, views, etc..
Laravel-cors works out of the box. All API endpoints return the allow-access-origin header. The cors middleware is enabled in the global middlewares in app\Http\kernel.php.
Angular Loading Bar is that loading bar that you see on top when you navigate between routes.
Laravel5-angular-material-starter comes with some useful angular filters:


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Ruby is a favorite language of developers building interactive web applications. If an app involves users creating accounts, entering information, and interacting with dynamic content, there's a good chance it is built with Ruby. Ruby became popular because the Rails framework, which is written with Ruby, simplified many of the common tasks associated with building web applications. It's most popular with startups and smaller companies who are looking to build their product quickly. Though each language has its niche, there is plenty of crossover. For example, Rails' popularity inspired copycats in just about every language, and so you'l l see interactive web applications written in C#, Java, and PHP, with Rails-like frameworks including
PHP is by far the most popular backend language today, with 80 percent of websites utilizing it 'server-side'. It is perhaps best known for it's use in content management systems like Wordpress, Drupal, and Joomla. But the versatility of the language and the frameworks it powers make employment options numerous and diverse. If you're keen to work for a fast paced agency that builds websites for lots of clients, or maintain the security and stability of a huge complex of government websites, or if you like the idea of building out small sites for brands, businesses, and organizations - In any of these cases, PHP would be a great way to go.
Java is also a favorite of enterprise companies, but its appeal is broader as well: it's one of the most popular of all programming languages, and it's used in everything from for high-performance processing to building Android user interfaces. Because Java has been very popular for a very long time and is used in so many applications, it is also a very high-demand language. If you're interested in working for an enterprise-level company, as an Android developer, or in high-performance applications, Java could be a good language to learn.
CSS is the language for describing the presentation of Web pages, including colors, layout, fonts, and other stylistic choices. It allows one to adapt the presentation to different types of devices, such as large screens, small screens, and printers. HTML — used for building the structure of the page — and CSS — used for the visual layout — are the two basic languages involved in the building of web pages and web applications.
C# is most popular among bigger established businesses, often for building internal software. Because it's been around for a long time and has the backing of Microsoft, it is one of the most in-demand languages in the job market. C# has also been going through a bit of a rebirth lately, with Microsoft open sourcing the language and surrounding platform, porting it to run on Mac and Linux, and incorporating many of the best features of other languages. If you like the idea of working for a larger company on business software, C# is a great choice.
I want to make:
My Dream Workplace Is:
Difficulty Of Programming Language:
Why Do You Want To Learn Programming?
What Are Your salary Expectaitons?


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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Work with Basic was an awesome experience.
They understood exactly what we want
and what we need for our brand.
© Copyrights Basic. All Rights Reserved


{% extends "base.html" %} {% block title %}Open Radar FAQ{% endblock %} {% block content %}
On a couple of occasions I've been frustrated that I couldn't search the Apple bug database for problems that I was having or for the status of issues that others have filed, even when my own submissions have been marked as their duplicates.
I have heard that the bug database is closed because it contains customer-sensitive information. That's understandable, but if it were possible to check a box that allowed public disclosure of our submissions, many of us would be willing to do that.
Recently Dave Dribin suggested on Twitter that he'd like to build an open database of Radars, something like a wiki that we could use as a community-fed opt-in system. After exchanging some messages with Dave and Joachim Bengtsson, I put together this simple demo app running on Google App Engine.
It is basic but enough to get us started. All source code is on GitHub, and I am completely open to suggestion about this. If you think it is valuable, please start using it and we'll add whatever missing features we need.
Also, to make it easy to get data out of this, there's an api that you can use to get a JSON dump of the entire store. For details, see the source on github.
If you have comments or ideas, please add them to the openradar wiki on github.
No. This site is purely for sharing your experiences with other developers. Please continue to use bugreport.apple.com to file problem reports with Apple.
The best way to mark an problem as a duplicate is to change its status to Duplicate/<radar_number>
. This way the issue will be linked to its parent radar (given that it exists on OpenRadar).
Please be careful to not post any confidential information that you receive from Apple. Also, if you see something that you believe is confidential and that should not be on the site, let me know and I'll take it down.
Tim Burks (tim at radtastical dot com)
{% endblock %} {% block sidebar %} {% endblock %}


Previewing a Container Package
How to preview all of the containers within a container package.
- Navigate to Admin > Advanced Settings > Skins and go to the Skin Editor module - OR - Go to a Skins module.
- At Skin Type, select one or both of these options:
- Host: Select to view skins which are available to all sites.
- Site: Select to view skins which are only available to this site.
- At Skins, select from these options:
- Select a skin package from the drop down list to view the skins and containers within with this selected skin.
- Select < Not Specified > to hide all skins.
- At Containers, select a container package from the drop down list. A thumbnail image for each container is displayed.
- Click the Preview link to preview a container. This opens a new Web browser with a preview of the container.
- Repeat Step 5 to preview additional containers.
Previewing a Container Package


Top Artists
| Stevie Wonder |
| Prince |
| The Beatles |
| Eric Clapton |
| The Strokes |
| Ray Charles |
| Alanis Morisette |
| Beyonce |
| Taylor Swift |
| Tupac |
Top Songs
| September | Earth, Wind and Fire |
| Bohemian Rhapsody | Queen |
| Creep | Radiohead |
| Hey Ya! | OutKast |
| Say It Ain't So | Weezer |
| Hannah Hunt | Vampire Weekend |
| New York, I Love You But You're Bringing Me Down | LCD Soundsystem |
| Nothing Compares 2U | Sinead O'Connor |
| Spanish Sahara | Foals |
| Come On Eileen | Dexys Midnight Runners |


The -subd command takes the input and, based on the values of the specified columns, subdivides the input rows into one or more output files based on the values of the given columns.
The format is seesv:seesv -subd col1,col2,...,colN "min1;max1;number1,min2;max2;number2,...,minN;maxN;numberN" "output_file_macro${ikey}.csv
The min1;max1;number1 are the min/max range and the number of steps the range is divided by for each column value.
The output file is a template to use to create the destination output file. You can use "${ikey}" for the indices or ${vkey} for the values.
For example, you can use this to do geographic tiling of a set of input data that contains latitude and longitude. If your input.csv file has latitude and longitude columns the below command: seesv:seesv -subd latitude,longitude "-90;90;180,-180;180;360" "grid\${ikey}.csv" input.csv says to subdivide the latitude values between -90 and 90 with 180 steps - i.e. 1 degree spacing. The longitude is divided up between -180 and 180 with 360 steps - again, 1 degree spacing. The index of a latitude value is the index between -90 and 90. Likewise the index of the longitude value is between -180 and 180. The ${ikey} for the filename is latitudeindex_longitudeindex. So the above command produces:
grid116_102.csv grid116_103.csv grid119_84.csv grid119_85.csv grid119_86.csv ...The grid${ikey}.csv is the output file name macro where ${ikey} is made up of the indices. Using grid${vkey}.csv would give the following file names based on the values of the ranges:
grid30_31_-92_-91.csv grid39_40_-76_-75.csv grid38_39_-76_-75.csv ...


Responsive Design and adaptative layout patterns
RWD is an approach to web design aimed at allowing desktop webpages to be viewed in response to the size of the screen or web browser one is viewing with. Thus, using responsive design techniques, webpages layout are enabled to adapt to a variety of screen sizes.
A key part of this design approach is the use of fluid, proportion-based grids. The fluid grid concept calls for page element sizing to be in relative units like percentages, rather than absolute units like pixels or points. For that purpose, space is divided in a row-column fashion schema where several elements can share the same row by spanning one or multiple columns.
Implementation of responsive design has led to a common set of layouts frequently used by designers. From a high-level perspective, we could classify them into 5 categories: mostly fluid, column drop, layout shifter, tiny tweaks and off canvas


From E-Commerce to Supply Chain, we've got you covered. Use StoreCat to bridge your systems.
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link=integration.permalink
%}
{% endfor %}
If you can't see find your system, contact us and we can build a new integration, just for you!


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Cornerstone of Restraining:
Constructed of sculpted marble, with no connecting parts. Apparently made of one piece. The sides of the statue feature a detailed relief with an elaborate pattern.
Quest


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As programming languages, Ruby and JavaScript are very different from another. They may be able to perform many of the same things, but they are optimal for different uses. JavaScript, for example, is a browser- based language that is useful for the client side. Ruby, on the other hand, is more well suited for the server side. This is probably why Ruby offers many more options for iteration compared to JavaScript. After all, looping isn't very necessary on the browser end.
Here is a list of ways to loop in Ruby:
And, here is a list for JavaScript:
As you can see, there are quite many ways to create loops in Ruby. The while statement creates a loop by executing code while a conditional is true:
i = 0 while i < 5 p “While looping in Ruby!” i += 1 end
You can see above that the code prints "While looping in Ruby!" while the counter variable we set, i, is less than 5. As long as that is true, i will count up and every time it does, print the statement. An until loop will iterate until a conditional is true and a for loop executes code once for each element in an expression.
Ruby also has several built-in methods that are great for creating loops. The #times method is useful for simply repeating a code a several number of times:
5.times {p “Hello!”} > Hello! Hello! Hello! Hello! Hello!
Ruby's each and each_with_index methods are useful for looping through data structures.
array = [ "Eunice", "Sam", "Sarah" ]
array.each do |x|
puts x
end
> Eunice
Sam
Sarah
The each method above goes through each element in the array, which is a name, and puts it on the screen. Each_with_index performs the same thing, except you can also access the index.
In JavaScript, there are for loops and while loops. The while loops work just the way they do in Ruby, but the syntax is different. Here, we print a statement while the condition (num <= 5) is true:
var num = 1;
while (num <= 5) {
console.log(“While looping in JavaScript!”);
n += 1
}
For loops in JavaScript loops through a code block a number of times. They take 3 statements:
for(1 ; 2 ; 3) {
code to execute
}
for (var i = 0; i < 5; i++) {
console.log("For looping in JavaScript!")
}
The code block above will print "For looping in JavaScript!" 5 times, once for every loop, while i is less than 5. i will increase by 1 after each loop, eventually leading to the condition being false and no longer executing the code.
As you can see, looping in Ruby mostly differs from looping in JavaScript in terms of the syntax. Ruby also has built in methods that JavaScript does not have. Overall, both langauges can be used to create powerful loops. I hope this gave you some basic knowledge on the two!


DBI, Handles, and SQL Statements
DBI
When starting with JDBI, the first thing you need to do is construct a DBI instance. The DBI instance provides connections to the database via Handle instances. DBIs can be constructed three primary ways.
The first is to pass a JDBC DataSource instance to the constructor. In this case connections will be obtained from the datasource. This is generally the best option for cases where you want connection pooling.
The second method is to pass in a combination of a JDBC url, properties, and/or a username and password. See the constructors on DBI for the exact combinations. All these forms pass through to the JDBC DriverManager against its matching static methods.
The third form uses a JDBI specific interface, ConnectionFactory which allows for unusual ways of obtaining connections, such as for interfacing with thread-bound connection instances in Spring, or other exotic techniques.
DBI Options
Once a DBI is obtained there are a number of configurable options on it. These include specifying the transaction handler, how externalized SQL statements are looked up, how statements are translated, configuring logging, timing collection, and registering top level customizers. All of these things will be examined in more detail in section XXXX.
Handles
Handles can be obtained from a DBI by opening it as such:
DBI dbi = new DBI("jdbc:h2:mem:test");
Handle handle = dbi.open();
// make sure to close it!
handle.close();
This requires explicitly closing the handle when you are through with it. The alternative is to pass in a callback which will receive an open handle, and will ensure it is closed when the callback completes, as follows:
DBI dbi = new DBI("jdbc:h2:mem:test");
dbi.withHandle(new HandleCallback<Void>()
{
public Void withHandle(Handle handle) throws Exception
{
handle.execute("create table silly (id int)");
return null;
}
});
Handles are used to create and execute statements, queries, calls, batches, and prepared batches. Additionally, statement customizations, result set mappers, and so on can be registered on the Handle. Anything set on the handle will override the settings inherited from the DBI, but only for that Handle and statements created from it.
Direct Statements
The simplest way to execute statements on a handle is direct execution via the Handle#execute and Handle#query:
DBI dbi = new DBI("jdbc:h2:mem:test");
Handle h = dbi.open();
h.execute("create table something (id int primary key, name varchar(100))");
h.execute("insert into something (id, name) values (?, ?)", 3, "Patrick");
List<Map<String, Object>> rs = h.select("select id, name from something");
assertThat(rs.size(), equalTo(1));
Map<String, Object> row = rs.get(0);
assertThat((Integer)row.get("id"), equalTo(3));
assertThat((String)row.get("name"), equalTo("Patrick"));
Direct statements work fine for simple DML and when SQL is not being externalized, but getting back untyped maps for queries is generally annoying, particularly as different JDBC drivers will interpret ResultSet#getObject() differently, particularly for numeric types.
Creating SQLStatements
A more sophisticated way to execute sql is to create SQLStatement instances. Variants exist for calls, updates, queries, and prepared batches. The general form for updates looks like:
DBI dbi = new DBI("jdbc:h2:mem:test");
Handle h = dbi.open();
h.execute("create table something (id int primary key, name varchar(100))");
h.createStatement("insert into something(id, name) values (:id, :name)")
.bind("id", 4)
.bind("name", "Martin")
.execute();
h.close();
The call to Handle#createStatement creates an Update instance, which we then bind two named arguments to, and finally execute. In addition to binding parameters, we can set properties on the generated statement, such as the query timeout. SQLStatement instances generally return the same instance from each call on the statement, until the statement is executed. This allows for method chaining, as above. This method chaining is by no means required, however. The above example works the same way when written as:
Update s = h.createStatement("insert into something(id, name) values (:id, :name)");
s.bind("id", 4);
s.bind("name", "Martin");
s.execute();
Which you use is a matter of taste.
Queries are also SQLStatement instances, but they generally get more complicated so have their own section.


Manager, Data Sciences - Culver City, CA
Who We Are
National Research Group (NRG) is a leader in data driven insights and strategic consultation to the global entertainment and technology industries. Working at the confluence of content, culture and technology, NRG offers bold insights for storytellers everywhere on every screen. Our consultants have experience working across all facets of media and technology.
Why You'll Love It Here
We are inspired by working with storytellers that challenge us to think differently and see the world in new ways. As a result, our business is driven by creative, curious, and inventive people who have a passion for culture and technology. We work as a collective across disciplines and geographies to bring together the best thinking for every assignment, delivering insights to bold storytellers everywhere.
The Opportunity
NRG is seeking a data science professional to join our growing Data/Marketing Sciences team in meeting a wide range of analytic needs, including questionnaire design (including maximum difference and conjoint techniques), multivariate analysis and segmentation, Bayesian Networks, machine learning techniques and synthesizing behavioral data sources with quantitative survey data.
The Role
Provide analytical expertise on market research studies, including but not limited to ad/creative tests, brand studies, trackers, messaging/positioning evaluation, conjoint/choice modeling and market segmentation.
Use various statistical software and tools to evaluate data, and develop both custom and productionized client solutions.
Work with and draw conclusions from large diverse data sets, via data fusion or other techniques.
Utilize proficiency in specific statistical and analytical techniques with structured and unstructured data sets including social media:
Classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, SVM, Random Forest)
Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees, etc.)
Clustering methods (e.g., K-means, Fuzzy C-means, Hierarchical Clustering, etc.)
Time-series Modelling/Forecasting (e.g., AR, ARMA, GARCH, Exponential Smoothing)
Statistical Analysis (e.g., Hypothesis Testing, Experiment Design, Hierarchical Modeling, Bayesian Methods)
Develop frameworks, models, tools, processes, visualizations, simulators, and analyses to ensure continuous data driven results are provided for internal and external clients.
Who You Are
BS, Master's degree or PhD in Mathematics, Statistics, Quantitative Behavior Science, Computer Science or related quantitative discipline from a top university.
3+ years' experience working in an analytics, statistical, or data science role in a consumer marketing research firm.
3+ years of real-world experience using SPSS.
Excel power user - 3+ years of real-world experience using Excel and Visual Basic applications.
Track record of decision making and problem solving based on analytics; conceptual thinking skills must be complemented by a strong quantitative orientation that lead to actionable and measurable results.
Ability to present data science results and recommendations to clients (preferred).
Experience with Bayesian Networks (preferred).
Experience with Rapid Miner (preferred)
Experience with Q/Displayr (preferred)
Ideal Candidate
Intellectually curious, analytically rigorous with a strong work ethic and solid business intuition.
Interest in the entertainment and technology industries.
Entrepreneurial, enthusiastic self-starter with an amiably competitive spirit.
Able to explain complex ideas to non-technical audiences, both verbally and visually.
Organized and able to plan projects efficiently including an ability to set priorities, problem solve and multi-task in a dynamic, rapidly changing environment, often with tight deadlines
Highly motivated, self-directed, collaborative creative thinker.
Position Type
This is a full-time, exempt position in Culver City, CA (or Remote).
Work Environment
This job operates in a professional office environment. This role routinely uses standard office equipment.
Required Application Materials:
Resume
Cover Letter which should include:
Why do you want to work at NRG?
Why are you interested in data science?


| Home | Libraries | People | FAQ | More |
In addition to generic error messages, bjam
may emit one
of the following:
除了通常的错误信息，bjam
可能还会发出以下信息：
warning: unknown rule X
A rule was invoked that has not been defined with an "actions
"
or "rule
" statement.
表示被调用的规则没有用 "actions
" 或 "rule
" 语句定义。
using N temp target(s)
Targets marked as being temporary (but nonetheless present) have been found.
找到标记为临时的(但却是存在的)目标。
updating N target(s)
Targets are out-of-date and will be updated.
目标过期，将被更新。
can't find N target(s)
Source files can't be found and there are no actions to create them.
不能找到源文件，且没有动作创建它们。
can't make N target(s)
Due to sources not being found, other targets cannot be made.
由于源文件未找到，其它目标不能构建。
warning: X depends on itself
A target depends on itself either directly or through its sources.
目标直接或通过它的源依赖于它自己本身。
don't know how to make X
A target is not present and no actions have been defined to create it.
目标不存在且没有定义动作来创建它。
X skipped for lack of Y
A source failed to build, and thus a target cannot be built.
源文件构建失败，因此目标不能构建。
warning: using independent target X
A target that is not a dependency of any other target is being referenced
with $(<)
or $(>)
.
某个被 $(<)
或 $(>)
引用的目标不是其它目标的依赖物。
X removed
BJam
removed a partially built target after being interrupted.BJam
在中断后删除了一部分构建目标。
For parallel building to be successful, the dependencies among files must
be properly spelled out, as targets tend to get built in a quickest-first
ordering. Also, beware of un-parallelizable commands that drop fixed-named
files into the current directory, like yacc(1)
does.
为了成功进行并发构建，文件的依赖关系必须正确说明，以使目标以尽可能快的顺序进行构建。另外，小心留意不可并发的命令，它们会删除当前目录中的固定名字的文件，象 yacc(1)
所做的。
A poorly set $(JAMSHELL)
is likely to result in silent
failure.
对 $(JAMSHELL)
设置得不好很可能会导致无声无息的失败。
This section is derived from the official Jam documentation and from experience
using it and reading the Jambase rules. We repeat the information here mostly
because it is essential to understanding and using Jam, but is not consolidated
in a single place. Some of it is missing from the official documentation
altogether. We hope it will be useful to anyone wishing to become familiar
with Jam and the Boost build system.
本
章源自于 Jam 的官方文档和使用它的经验以及对 Jambase 规则的阅读。我们在此重复这些信息，主要是因为它们对于理解和使用 Jam
是必需的，但它们并未被整理到一起。其中有些还是官方文档中没有的。我们希望它们对那些希望熟练掌握 Jam 和 Boost build
系统的用户有所帮助。
rules
" are actually simple procedural
entities. Think of them as functions. Arguments are separated by colons.rules
" 实际上是简单的程序实体。将它们视为函数。参数以冒号分隔。
DEPENDS
rule creates
a link in the dependency graph between the named targets.DEPENDS
规则在依赖关系图中创建命名目标之间的链接。
INCLUDES
rule is incorrect: INCLUDES targets1 : targets2
causes everything that depends on a member of targets1
to depend on all members of targets2. It does this
in an odd way, by tacking targets2 onto a special
tail section in the dependency list of everything in targets1.
It seems to be OK to create circular dependencies this way; in fact, it
appears to be the "right thing to do" when a single build action
produces both targets1 and targets2.INCLUDES
规则的描述是不正确的：INCLUDES targets1 : targets2
会导致依赖于 targets1 某一成员的任何东西依赖于 targets2 的所有成员。它是以一种奇特的方式来实现的，通过将 targets2 作为一个特殊尾节增加到 targets1 各个成员的依赖关系列表中。以这种方法创建循环依赖关系似乎是OK的；事实上，当单个构建动作同时生成 targets1 和 targets2 时，它看来是"做了正确的事情"。
actions
declared
with the same name as the rule, the actions are added to the updating actions
for the target identified by the rule's first argument. It is actually
possible to invoke an undeclared rule if corresponding actions are declared:
the rule is treated as empty.actions
，则该动作会被增加到由规则的第一个参数所标识的目标的更新动作中。如果相应的动作被声明，实际上就有可能会调用一个未声明的规则：该规则被视为空规则。
NOTFILE
targets) are associated
with paths in the file system through a process called binding. Binding
is a process of searching for a file with the same name as the target (sans
grist), based on the settings of the target-specific SEARCH
and LOCATE
variables.NOTFILE
目标以外)被通过一个称为绑定的过程关联至文件系统中的路径。绑定是查找一个与目标具有相同名字的文件(无 grist)的过程，它基于特定目标的 SEARCH
和 LOCATE
变量。
on
a target. Target-specific variable values can usually
not be read, and take effect only in the following contexts:on
the target named by the first argument (the target being updated).
Because Jam builds its entire dependency tree before executing actions,
Jam rules make target-specific variable settings as a way of supplying
parameters to the corresponding actions.SEARCH
and LOCATE
variables, as described here.SEARCH
和 LOCATE
变量所控制的，如上所述。
on
the target named by the rule's
first argument (the source file being scanned).bind
action modifier.bind
动作修改符可选择地替换为它们的绑定值。
test.exe
" may
be used by targets in separate subprojects, or for the debug and release
variants of the "same" abstract target. Each distinct target
bound to a file called "test.exe" has its own unique grist prefix.
The Boost build system also takes full advantage of Jam's ability to divide
strings on grist boundaries, sometimes concatenating multiple gristed elements
at the beginning of a string. Grist is used instead of identifying targets
with absolute paths for two reasons:test.exe
"
可能在单独的子项目中被用作目标，或者用作"同一个"抽象目标的调试版和发布版。每一个绑定到 "test.exe" 文件的特定目标都有唯一的
grist 前缀以。Boost build 系统还充分利用了 Jam 的功能，将字符串按 grist 边界划分，有时则将多个 gristed
元素连接在字符串的开始。Grist 被用于替代绝对路径标识目标有两个原因：
MESSAGE ?\= starting jam... ; if $(MESSAGE) { ECHO The message is: $(MESSAGE) ; }If the user wants a specific message, he invokes jam with
"-sMESSAGE=message
text"
. If he wants no message, he invokes jam with -sMESSAGE=
and nothing at all is printed."-sMESSAGE=message
text"
来调用 jam。如果想不要信息，则以 -sMESSAGE=
调用 jam，这样就没有东西打印出来了。
-xvalue
, 和
-x value
.


This is simple. It's a list that you have subscribed to. Clearly visible with less work.
taeeun.kim@outlook.com


Indraprastha Institute of Information Technology, Delhi
M.Tech (CSE)
2018 - Present
CGPA: 9.00 (till 1st Semester)
Jamia Millia Islamia, New Delhi
B.Tech (Computer Engineering)
2013 - 2017
CGPA: 9.30
Kendriya Vidyalaya Shalimar Bagh, Delhi
XII class (CBSE)
2011-2012
Percentage:88.00 %
Kendriya Vidyalaya Shalimar Bagh, Delhi
X Class (CBSE)
2009-2010
CGPA:9.60


Welcome to my page! I love creating logos, websites and apps. My style is simple, clean with a smooth palette. Let's create something beautiful together.


Get Komodo price, charts, and other cryptocurrency info
phideas05-Sep-19 09:32 AM
Price jumped but only on one exchange CoinEx which reports highest volume. Could be fake volume, not sure. If other exchanges will not follow, it’s gonna be just a short lived p’n’d.
Get Komodo (KMD) price, market cap, and other cryptocurrency data | OpenMarketCap
better one
Patrick Friggens05-Sep-19 10:05 AM
About this openmarketcap: What is this NVT score they have? Higher the score, the more speculative the token. Komodo NVT 188.521. Matic is lowest one with NVT 3.121. because Matic isn't speculative token? wtf? If you ask me, I don't think there are something more speculative than unofficial off-chain eth dapps scaling solution.
This is my current analysis for $ETH (along with many other altcoins that are forming falling wedges)
I think $ETH may see a slight decline for September, but if Bitcoin manages to follow the pump I've called, I predict an alt season to begin by the end of September...
Patrick Friggens05-Sep-19 10:23 AM
maybe this NVT marketcap/volume metric is something. Kmd seem to be there in the middle and there are many coins higher up with lot less trading volume than kmd.(edited)
mrtzmp305-Sep-19 10:40 AM
@Patrick Friggens it's the actual use calculated vs the price
1
So when it's very high the price is high without any real users or transactions
Like when btc hit 14 k recently
Or in December 17
Patrick Friggens05-Sep-19 11:01 AM
anyone know more about REN? Is it competing with atomicdex? Claim to be 100x faster than atomic swaps. Do they have working product already? https://coinmarketcap.com/currencies/ren/
Get Ren price, charts, and other cryptocurrency info
Caglio05-Sep-19 11:06 AM
about the binance
I got 5* the amount
just wanted to share thta
I mean 5* the amount of the interest I should get
i should buy some more k64
so they can drink champagne on the plane
God knows they deserve it, after so much time without sleep and breakthrough ideas they deliver
Andersen05-Sep-19 11:13 AM
@Patrick Friggens REN it's KYC based . Without ID you can't create account DYOR(edited)
1
1
Caglio05-Sep-19 11:14 AM
@Deleted User he is legit, we agree on that my friend
siu - Chainmakers05-Sep-19 11:17 AM
I think utrum doesnt get enough credit as a kmd project. It has been the most consistent in delivering what has been promised. @Sri is a very well dedicated guy who has made ends meet since the very beginning.
2
6
6
Sri05-Sep-19 11:21 AM
It has been such kind of ride for us. We delivered on all our promises, be it Hold rewards and now Portal itself which is a social network and one stop place for reviews, predictions, insights and reports. Now that we launched the portal, sole focus is marketing now.
but the point here is what is your reason to hold some cryptocurrency.
as I understand there must be only 2
- being a developer you develop using that project
- being an investor you want you portfolio value increase using that project's tokens hoping it's adoption and value will increase over time
so, let's also go over the investment part of thoughts
1
it is rank 8 on CMC
market cap 3,046,520,927 USD
total supply 1,027,143,468 EOS
circulating 930,443,457 EOS
1,027,143,468 - 930,443,457 = 96700011 yet to be produced
so about 90% of the total supply is already in market
Caglio05-Sep-19 01:15 PM
go on :)
grewalsatinder05-Sep-19 01:15 PM
CMC shows the lowest price of about 8400+ sats, and top ever about 201k+ sats, and current 30k+ sats
seeing some points mentioned in the article I linked, like few block producers and recent months showing some news on EOS and few other's devs expressing the concerns in the technical parts is one thing which is from developer point if view I don't like.
from investor point of view, it took an year to complete an ICO, and that is too much long time to for an ICO. Kinda ridiculously long! Chances of manipulation with the raising money during the ICO and inflating the value of token is very high even in case we trust there isn't. But probability says it's high.
Also, if you calculate the value it's each token is worth based on how much supply is there in the market and it's total supply number, you
you'll see it's extremely overvalued
let's also go with the value assessment as I see
Caglio05-Sep-19 01:20 PM
Goddamn it, now when u put it this way, i dont want to buynit, but instead get rid of mine :/ continue pls
grewalsatinder05-Sep-19 01:20 PM
I just try to see what a project is giving in value to market and what it's current price is
so let's calculate some numbers
so if I have 1 BTC and need to decide where i want to put in what I'd do
and remember, the goal is only to raise the cryptocurrency overall value of the portfolio and NOT FIAT!
because in long term FIAT is NOT GOOD
and you can think of shuffling the cryptocurrency value from one to another as per your favourite cryptocurrency
be it BTC, ETH, KMD, etc etc
so if I take it to count for BTC to raise in value in long term, I'll just think about BTC value in the potential
dan.05-Sep-19 01:23 PM
one things for sure, selling kmd and rebuying kmd is a surefire way to get more
1
grewalsatinder05-Sep-19 01:23 PM
current price of EOS 0.00030941 BTC
Caglio05-Sep-19 01:24 PM
@grewalsatinder well I do want to obtain more fiat, not more crypto, I got some extra cash at the moment, so I care more about pure fiat price than satoshi movement
grewalsatinder05-Sep-19 01:24 PM
so 1 BTC / 0.00030941 per EOS BTC price = 3231.95759671 EOS in total
@Caglio sure, can cover that view as well
so at this moment, if 1 BTC is used to buy you'll roughly get around 3200+ EOS
dan.05-Sep-19 01:26 PM
definitely need to commit to either fiat or btc. its a lot like shooting a basketball and aiming for the backboard or the hoop to swoosh it in. gotta pick one or you'll miss.
grewalsatinder05-Sep-19 01:27 PM
so if I compare it with the project like KMD what will I get:
current KMD price 0.00006431 BTC
1 BTC / 0.00006431 per KMD price in BTC = 15549.68123153 KMD
total supply of KMD ever going to be 200,000,000+ million
let's also check on ETH, coz after BTC that's mostly ppl's favorite
dan.05-Sep-19 01:28 PM
15k kmd, lol
used to get you 4-5
grewalsatinder05-Sep-19 01:28 PM
did I calculate wrong ?
can correct me if something wrong
dan.05-Sep-19 01:28 PM
no i am just crying
1
Alright05-Sep-19 01:28 PM
total supply of KMD ever going to be 200,000,000+ million doesn't mention that "+" means infinite


--- layout: default --- {{ site.title }} Laravel/Vue.js developer, blogger and open source enthusiast. {% include social-links.html %} {% include newsletter.html %} Articles 2018 {% for post in site.posts %} {{ post.title }} {% endfor %}
Laravel/Vue.js developer, blogger and open source enthusiast.


--- layout: post title: "Japanese spacecraft approaches Earth to drop asteroid samples" subtitle: "The capsule is to be released 2,20,000 kilometers (1,36,700 miles) away in space and land in a remote, sparsely populated area of Woomera, Australia, on Sunday." date: 2020-12-04 22:00:13 +0530 background: '/img/posts/06.jpg' published: true categories: [ Science ] tags: [ technology, science, space, japan, japanese, spacecraft, asteroid, astronaut, astronomy, comet, black hole ] ---
Japanese space agency officials said on Friday the Hayabusa2 spacecraft is on its intended trajectory as it approaches Earth to deliver a capsule containing samples from a distant asteroid that could provide clues to the origin of the solar system and life on Earth.
The spacecraft left the asteroid Ryugu, about 300 million kilometers (180 million miles) away, a year ago. The capsule is to be released 2,20,000 kilometers (1,36,700 miles) away in space and land in a remote, sparsely populated area of Woomera, Australia, on Sunday.
In the early hours of Sunday, the capsule, protected by a heat shield, will briefly turn into a fireball as it reenters the atmosphere 120 kilometers (75 miles) above Earth.
At about 10 kilometers (6 miles) above ground, a parachute will open to slow its fall and beacon signals will be transmitted to indicate its location.
JAXA staff have set up satellite dishes at several locations in the target area to receive the signals, while also preparing marine radar, drones and helicopters to assist in the search and retrieval of the pan-shaped capsule, 40 centimeters (15 inches) in diameter.


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| THE INTERNET PLASMA PHYSICS EDUCATION EXPERIENCE | |||||||||||||||||||||||||||||||||||||||||
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Magnetic Confinement Demonstration!As part of the Internet Plasma Physics Education eXperience (IPPEX) project, the purpose of this program is to demonstrate the difficulty of trying to contain a plasma inside a tokamak by using magnets. The program produces a black circle which represents a cross-section of the tokamak. Inside this there is a red circle which represents a cross-section of the plasma. Around the tokamak there are eight magnets which can be switched on or off by clicking on them with the mouse. When a magnet is on it will exert a repulsive force on the plasma. the object is to keep the plasma from hitting the wall of the tokamak.
Note From the author:
Please visit Daren Stotler's Home Page.
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home - about fusion - interactive physics - ask a physicist - virtual tokamak |
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Naming things is difficult. We know that. But if you get it wrong, it can taint your whole product - at least, for pedants like me.
Today, I was investigating JavaScript Rest API testing frameworks. There seem to be two big names: Chakram and Frisby, or its newer fork IcedFrisby.
Chakram has a less silly name. It has a nice logo. Its documentation looks slicker. It appears more mature (IcedFrisby 1.0 is just 5 days old, as I write, and 1.1 is out already). The two frameworks seem to have much the same features, and I can live with the syntax either way.
expect(response).to.have.status(200);
expect(response).not.to.be.encoded.with.gzip;
expect(response).to.comprise.of.json({
It’s the sort of thing we get obsessive about.
I know, this stuff isn’t important. It’s not really English anyway, it’s machine instructions, and the parser doesn’t care, and for someone who doesn’t speak English the whole of JavaScript is just arbitrary symbols…
And I’m pretty sure the .of
does absolutely nothing, and could be left out, or replaced with any number of filler words, like “.to.be.is.to.have.and.to.have.is.to.be”…
But I choose IcedFrisby.


Some quicklinks to popular external research, and an internet search engine for external research sources.
FDA IFPMA Health Education
Advanced Search


Brendan Sheerin
Republican
I am recently retired, and i seek to be of service. My forty year career was as a teacher, and then Head of School (s) in independent (prep.) schools throughout the USA, although 26 years was spent at one school in the Washington DC area. I was born in Ireland, married my wife in 1985, and became a citizen in the early 1990s.
My academic degrees, undergraduate (BA Honors) and graduate (MA)come from The Queen's University, of Belfast, Ireland. Over the years, I have taken various courses from grant classes at Notre Dame to Leadership Fairfax in Virginia, and created a Leadership Richmond class for potential school leaders at the University of Richmond, Virginia.
81004
While I was working, I did not engage at the level of activism at any level: working on behalf of a candidate, posting, flyers, providing financial contributions, etc. I viewed my political leaning as personal and private.
I came to Colorado in June, 2015, and other than helping a friend in his ill-fated run for mayor of Pueblo as an Independent ( he did not get enough names to make the ballot), I have not been involved in political life.
Again, i have not been involved in Colorado, but over the years I have served in both professional and civic organizations. For five years in the mid-1990s, I was the voluntary director of the Virginia Association of independent Schools' professional development committee, organizing a yearly conference for 1200 members. I also served in MIchigan on a similar committee. In Virginia, I was Treasurer of the Loudoun County Foster and Adoptive Parents Association for many years, and this organization was my major civic engagement.
There is a wonderful phrase that I was introduced to years ago, and that has stuck with me since: " A generosity of spirit." this country has provided me with a wonderful life and career, and I am very proud to be an American citizen. I believe it is important to give back, and I believe that now, in retirement, I have been provided with the time to give back to my country, and specifically, to the State of Colorado. Democracy is not something that we can take for granted, and the creation of this commission says much about Colorado's willingness to take the lead in protecting democracy for the future. I grew up in Ireland during "The Troubles", caused in part by gerrymandering and discrimination, and I understand just how important a fair and equal system for election is.
It really does not matter whether it is a school, a company, or a commission, the key to success in any organization is trust. Only when trust has been firmly established can any group move onto those critical, hard conversations that need to happen. These conversations often involve conflict, and that is both to be expected and encouraged, for with trust in place, conversations can eventually move to a place of consensus. It is not a fast process, but it can be achieved. It is a process that can be easily pushed of the rails by an individual, and that is why selection process for the commission members is so important. There is an author called Lencioni. and he wrote a book called "The Five Dysfunctions of a Team" that is popular and that might be a great read for all commission members before they start their work.
Being a Head of School in the private sector is like being the CEO of a small (some large) company. You are responsible for all aspects of the school from governance to budget, to admissions, to future thinking and planning, from fund raising to creating product. Of greatest importance are two items: ensuring that all your efforts are mission-driven, and that you do not drift from that. and in ensuring the success and growth of your colleagues that are, also, your employees. To be successful, the leader must examine almost all aspects of the school in a logical, organized manner, and leave emotions to one side.
Male


Verde Circle
Santa Monica, CA: July 2014 – Current
General Manager / Lead App Architect
- Lead team of 9 developers building a small business product / warehouse / fulfillment SaaS platform
- Lead team of 3 developers building boutique ecommerce order management system integrated with QuickBooks Online
- Lead team of 6 developers in developing a platform for film and television production cost accounting
- Developed live spreadsheet-like functionality for Cost Report Worksheet feature of cost accounting system
- Developed advanced copy/paste functionality for the cost accounting system data entry modules
- Developed advanced reporting engine for cost accounting system which included dynamic filtering, dynamic report configuration, and export to csv functionality
Steinhausen
Valencia, CA: December 2008 – July 2016
General Manager
- Developed warehouse and fulfillment software integrated w/multiple shipping services & marketplaces
- Developed kit/assembly supply chain software allowing JIT assembly and in-house product refurbishment
- Developed rebranding strategy, marketing/advertising campaign for Steinhausen watch company
- Designed and developed manufacturing supply chains in China, India, and the United States
- Migrated company from Windows to MAC; replaced all desktop apps w/cloud-based implementations
- Designed new products including, watches, money clips, belts and cufflinks
Aroa Marketing
Sylmar, CA: November 2004 – November 2008
VP Marketing and Catalog Circulation
- Developed RFM model for catalog circulation; increased average order size by 20%; response rates by 10%
- Lead team in developing product review websites that increased revenue on average by $30,000/month
- Developed print & digital marketing/advertising campaigns that launched the Gravity Defyer shoe company
- Developed microsites and landing pages for print and digital advertising campaigns
- Migrated existing ecommerce website from legacy cgi platform to ASP.NET
- Scriptwriter for over a dozen infomercials
- Copywriter for more than 100 catalog products and hundreds of print and digital advertisements
Capita Technologies
Irvine, CA: May 2003 – March 2004
Database Engineer
- Develop Oracle packages for Los Angeles County AJIS (Automated Jail Information System) interface
- Develop reports using Crystal reports for DHR (Department of Human Resources – Los Angeles County)
- Reports and JSP development for JJCPA (Juvenile Justice Crime Prevention Act Tracking System – Los Angeles County) using Oracle and JDeveloper
- Database design and development for District Attorney Grants (LA County) app using DB2 and MSSQL
Homestore.com
Westlake Village, CA: December 1999 – March 2003
Data Warehouse Architect
- Architect of 500GB Teradata real estate trending data model and ETL processes
- Developed and maintained data warehouse ETL processes using PERL and Teradata utilities (BTEQ, Fastload, Multiload, OLELoad) which handled 30GB of data per day
- Lead team in building and maintaining MSSQL data marts used to provide statistics to over 100K Realtors
- Developed OLAP reporting system using MS SQL Analysis Services
Next Direct, Inc.
Woodland Hills, CA: March 1996 – December 1999
Software Development Lead
- Creation of a browser-based CRM system using Visual Basic, IIS, and MSSQL
- Lead team of programmers in developing lead generation applications for mortgage, insurance, real estate, and travel industries using Visual Basic, SQL Server, and IIS
- DBA of MS SQL database for loanweb.com, 4insurance.com lead generation services
- Developed email-to-fax BSD UNIX application allowing clients to receive email via fax & OCR fax-to-email
Other Experience
My sofa: March 1996 - Present
Independent Software Developer
- Develop Nodejs cryptocurrency miner tracking software that connects to 3rd party blockchain API services to gather miner payouts and store and report summary information for tax purposes
- Develop Nodejs express JWT auth server utilizing MongoDB, including multi-node Docker deployment
- Co-author of psychic chat VB app allowing psychics to reach a global 1-on-1 chat market via the Internet
- Developed FoxPro db for ModelsLynk.com search engine which handled bios for over 2000 models & actors
- Created browser-based interface in VB and IIS allowing real estate agents to edit/update property listings.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/string.20equality.html ---
I'm new to Lean. Could anyone please tell me how to check if two strings are equal?
s1 = s2
Thanks!
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


| English | Furbish |
|---|---|
| affirmative | ee |
| again | koh-koh |
| and | koh |
| another | koh-koh |
| ask | oh-too-mah |
| baby | bay-bee |
| bad | boo-dah |
| be | boh |
| beautiful / pretty | ee-kah |
| big | dah |
| big no / no way! | dah-boo |
| big yes | dah-ee-tah |
| bye / go | bye-bye |
| change | boot-tay |
| cloud | ay-loh-may-lah |
| comparative | tay |
| complete | toh |
| dance | noh-lah |
| diamond | ay-koo |
| dizzy | ay-way |
| do | doo-dah |
| done | toh-dye |
| down | nah-bah |
| dream | way-loo |
| dude | dee-doh |
| face | kah-tay |
| feed / food | ah-tah |
| finally | oo-tah-toh-toh |
| friend / buddy | noo-lah |
| full | oo-loo |
| fun | doo-ay |
| funny | doo-loo |
| game | doo-ay-loo-lah |
| genius | dah-way |
| go / bye / get out! | bye-bye |
| good | ee-day |
| good morning | dah-ay-loh-oo-tye |
| good night | dah-ay-loh-nah-bah |
| happy | noo-loo |
| have | ah-mah |
| health / healthy | koo-doh |
| help | ah-noo |
| hide | woo-bye |
| high | oo-tah |
| hmm? | doo? |
| home | lay-lah |
| hug | may-lah |
| huh? | doo? |
| hungry / eat | ay-tay |
| why / interrogative | doo |
| island | koo-wah |
| joke | loo-loo |
| kiss | may-tah |
| life, nature, living things | tee |
| light | ay-loh |
| lightness | ay |
| like | toh-loo |
| like, similar to | tay |
| listen | ay-ay-lee-koo |
| little | dee |
| live | boh-dah |
| log | tee-loh |
| look | ay-ay |
| love | may-may |
| me | kah |
| me, mine, myself | kah |
| money | moo-lah |
| English | Furbish |
|---|---|
| monster | moh-moh |
| more | koh-koh |
| mountain | koo-dah |
| music | ee-kah-lee-loo |
| no, negative, bad, stop | boo |
| no | boo |
| no! | dah-boo |
| noise | bah-boo |
| now | nee-way |
| oh | oh |
| ok | oh-kay |
| omg | oh-kah-tee |
| over | oo-bah |
| party / party time | dah-noh-lah |
| path | bye-way |
| pet | ah-may |
| play | loo-lay |
| play, joke, humor | loo |
| please | doo-moh |
| rain | wah-wee-tee |
| rock | boo-koo |
| sad | boo-noo-loo |
| scared | dah-boh-bay |
| sea | ee-wah |
| shake | koo-bah |
| sing | wee-tee |
| sleep | way-loh |
| smallness | dee |
| so | doh |
| song | wah-tee |
| sound | lee-ko |
| stand | oo-boh |
| story | wee-loo |
| sun | dah-ay-loh |
| sweet! | nee-may |
| talk | noo-noo |
| tell | wee-tah |
| rhank | doh-kah |
| thank you! | doh-kah-oo-nye |
| thinking / mind | way |
| tickle | nee-tye |
| time | toh-toh |
| to be | boh |
| touching, holding | ah |
| tough | tay-boo-koo |
| tree | tee-tah |
| twinkle | tee-wee-lah |
| uh-oh | uh-oh |
| uncle | oo-kah |
| up | oo-tye |
| up, above, high | oo |
| very | mee-mee |
| wassup? | doo-oo-tye? |
| water | wah-tah |
| water / rain | wah |
| what? / when? | doo? |
| where are you? | oo-nye-doo? |
| where? | doo? |
| wise / wisely | way-lah |
| wonder | way-nah |
| worried | boh-bay |
| yay | yay |
| yea! | wah! |
| yeah? | doo? |
| yes | ee-tay |
| you | oo-nye |
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I am an assistant professor of Marketing at the Warrington College of Business, the University of Florida.
Previously, I was a postdoctoral scholar at the Data Science Institute and IICD, Columbia University, mentored by Prof. David M. Blei and Prof. Simon Tavaré. I received my Ph.D. in Statistics from the University of Texas at Austin, supervised by Prof. Mingyuan Zhou. Before coming to UT, I spent four years as undergraduate at the math department of Fudan University, Shanghai.
My research focuses on the intersection of Bayesian statistics, machine learning, causal inference, and marketing research. The topics I am interested in include