lexmark-international
Businessmodel of Lexmark International
Customer Segments
Both Lexmark International’s laser printing and imaging products and enterprise software solutions are targeted primarily at business customers. The Company serves business across multiple sectors, including the healthcare, financial services and insurance industries. A significant portion of the Company’s revenue is also derived from contracts with the US federal, state and local governments, as well as international governments and agencies.
Lexmark International’s native US remains its largest single market; however, the majority of the Company’s sales come from its international customers. Around 35% of the Company’s international sales come from within Europe, the Middle East and Africa. Lexmark International also sells products and services across North and South America, Asia, the Pacific Rim and the Caribbean.
Value Propositions
Lexmark provides value to its customers in the form of quality, dependable physical products and efficient and versatile enterprise software solutions.
The Company’s commitment to innovation and development helps to maintain this value, retain existing customers and attract new clients.
Lexmark provides a wealth of free learning and technical support resources to its customers, and allows customers to interact with one another through its community forum.
The quality of Lexmark’s products and services is enhanced through the Company’s collaboration with companies from a range of sector and jurisdictions, notably strategic alliances with high-profile companies associated with quality, including Microsoft, Canon and SAP.
Channels
Lexmark International’s portfolio of software solutions and laser printing hardware can be viewed on the Company’s website at www.lexmark.com. Products, however, cannot be purchased from the Company online, instead customers must contact members of the Lexmark International sales team.
Lexmark International also collaborates with a network of resellers that are authorised to sell the Company’s products either online or in physical stores.
Customer Relationships
While Lexmark International’s products and services can be viewed online, they are not available on a self-service basis. In order to make a purchase, customers must contact one of Lexmark’s international sales teams directly, or request for a sales representative to contact them, in order for the Company to more accurately fulfil the individual needs of each client.
Lexmark International also provides personalised technical support to its customers both online and over the phone, in addition to making a range of learning, training and troubleshooting resources available on its website.
The Company interacts with its customers directly, keeping them updated with company developments, through its news section, blog, newsletter and social media accounts, including with Twitter, Facebook, LinkedIn, and YouTube. The Lexmark International website also hosts a community forum for users of its enterprise software products.
Key Activities
Lexmark International is a developer, manufacturer and supplier of printing, imaging, device management, managed print services, document workflow, and business process and content management solutions.
The Company has two operating segments: Imaging Solutions and Services and Enterprise Software.
- Its imaging solutions segment provides colour and monochrome laser printers and supplies, software applications, and software solutions.
- The enterprise software segment provides a range of enterprise content management, business process management, document output management, customer communications management, process analytics, and enterprise search software products and solutions. The Company also manages a network of partners that supplement Lexmark International’s own capabilities, and provides ancillary and technical support services to its customers.
Key Partners
Lexmark International’s development of laser printing, imaging and enterprise software products is supported by a network of partner companies.
The Company organises its partners into four main categories:
- reseller partners, comprising consulting companies that assist in marketing and selling Lexmark International products in return for being able to provide greater functionality to their customers;
- technology partners, comprising software developers which help the Company to develop effective solutions in return for access to resources;
- solution partners, comprising systems integration and referral partners that provide various support services; and
- channel partners, which assist in the sale and distribution of Lexmark International products. These partners include resellers Advisaris, E.Novation, Loffler, Zirtex Systems, Plus Technologies and Active Navigation. The Company also has strategic alliances with high-profile companies such as Microsoft, Accenture, Fujitsu, Oracle and IBM.
Key Resources
Lexmark International’s key resources are its product designs and technology, its IT infrastructure, its manufacturing facilities, its supply chain resources, its distribution and sales networks and its personnel.
There are more than 150 patent applications filed with the US Patent and Trademark Office in Lexmark International’s name, including applications entitled ‘Portion of a display screen with icon’, ‘Laser printer toner cartridge’ and ‘Replaceable unit for an electrophotographic image forming device having positioning features for electrical contacts’.
Cost Structure
Lexmark incurs costs in relation to the operation of its manufacturing facilities – including the acquisition of supplies, the research and development of new products and solutions, the maintenance of its IT infrastructure, the management of its distribution and sales channels and the retention of its personnel.
The Company has more than 12,500 employees worldwide, representing costs in the form of salaries and benefits, and, in addition to its many manufacturing plants, the Company operates a number of offices that accrue costs in the form of utilities and rent.
Revenue Streams
Lexmark International generates revenue through the sale of physical laser printing and imaging products and enterprise software solutions. The Company has reportable segments: Imaging Solutions and Services, and Enterprise Software. Around 54% of the Company’s revenue is derived from international sales, including exports from the US, with Europe, the Middle East and Africa accounting for 35% of worldwide sales.
In 2015 Lexmark International generated annual revenue of $3.55 billion, down from $3.71 billion in 2014. In 2015 sale of products accounted for around $2.89 billion in annual revenue. No one customer accounted for more than 10% of the Company’s total revenues in 2015.


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Father Christmas. Santa Claus. Or as I've always known him: Jeff. Saving the world with meals on wheels. It's art! A statement on modern society, 'Oh Ain't Modern Society Awful?'! You've swallowed a planet!
Ice cream tiramisu apple pie.  Tart pudding muffin. Fruitcake jelly muffin fruitcake cake sweet roll I love marzipan chupa chups. Lollipop cheesecake bear claw. I love bonbon marshmallow I love chocolate. Oat cake sesame snaps jelly I love brownie gingerbread apple pie. Sugar plum bear claw brownie I love tootsie roll tart chocolate. Croissant pie danish tootsie roll donut I love. Oat cake carrot cake fruitcake chocolate bar cake liquorice. I love I love dessert oat cake I love jelly-o pastry. Jelly-o macaroon chocolate cake. Ice cream carrot cake tiramisu I love muffin I love cheesecake.


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Comparative Study of Vaccine Registration Systems


Born in west texas raised in central florida. Road trips up and down the east coast. Traveled as far west as kentucky. yet to make it ofver the Rocky's.
I love creating weather that be music art or code and design. I enjoy bringing something out of nothing. I enjoy collaborating and creating.
I am a grown man and just learned how to properly wistle. I used to wistle with my tongue and it was never loud enough. now i wistle with my lips. My 2 year old daughter taught herseld to wistle last week.


|
Online FIR |
         |
Simpliest way to file a FIR in India. |
                     |
SignUp FormCreate an account |
|---|
| 1. FIRST NAME | |
| 2. LAST NAME | |
| 3. EMAIL-ADDRESS | |
| 4. NEW PASSWORD | |
| 5. PHONE NO. | |
| 6. AADHAR NMUBER | |
| 7. ADDRESS | |
| 8. PINCODE | |
| Male Female Others |


5.1.X
Welcome to the SIMP documentation!
1. For the Impatient
2. Changelog
3. Getting Started
4. User Guide
5. Contributing to SIMP
6. Security Concept of Operations
7. Security Control Mapping
8. Help
9. License
10. Contact
11. Glossary of Terms
SIMP
Docs
»
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
|
X
|
Y
A
Access Control List
ACL
Advanced Intrusion Detection Environment
AIDE
Auditd
B
Basic Input/Output System
Beaker
BIOS
C
CA
CentOS
Central Processing Unit
Certificate Authority
CLI
Code Manager
Command Line Interface
Community Enterprise Operating System
Control Repo
CPU
D
DAC
Defense Information Systems Agency Secure Technical Implementation Guide
Denial of Service
Denial of Service Attack
DHCP
DISA STIG
Discretionary Access Control
DNS
Docker
Domain Name System
Domain Specific Language
DoS
DSL
Dynamic Host Configuration Protocol
E
EL
Elasticsearch
ELG
ENC
Enterprise Linux
EPEL
External Node Classifier
Extra Packages for Enterprise Linux
F
Facter
Federal Information Processing Standard
FIPS
FOSS
FQDN
Fully Qualified Domain Name
G
git
Gnu Privacy Guard
GnuPG
GPG
Grafana
Graphical User Interface
GUI
H
Hard Disk Drive
HDD
Hiera
I
IMA
initrd
Integrity Management Architecture
Internet Protocol 6 Tables
Internet Protocol Address
Internet Protocol Tables
IP
IP Address
IP6Tables
IPTables
ISO
ISO 9660
K
KDC
Kerberos
Key Distribution Center
L
LDAP
LDIF
Lightweight Directory Access Protocol
Lightweight Directory Interchange Format
Linux Unified Key Setup
Logstash
LUKS
M
MAC
MAC Address
Mandatory Access Control
Media Access Control
Media Access Control Address
N
NAT
National Institute of Standards and Technology
Network Address Translation
Network File System
NFS
NIST
NIST 800-53
NIST SP
NIST SP 800-53
NIST Special Publication
NIST Special Publication 800-53
O
Open Source
OpenSCAP
Operating System
OS
P
PAM
PEM
PERL
PKI
Pluggable Authentication Modules
Practical Extraction and Report Language
Preboot Execution Environment
Privacy Enhanced Mail
Public Key Infrastructure
Puppet
Puppet Data Type
Puppetfile
PXE
R
r10k
Rake
RAM
Random Access Memory
Red Hat
Red Hat Enterprise Linux
Red Hat®
Red Hat®, Inc.
RHEL
RPM
RPM Package Manager
RSA
Ruby
Ruby Make
Ruby Version Manager
RVM
S
SCAP
SCAP Security Guide
Secure Shell
Secure Sockets Layer
Security Content Automation Protocol
SELinux
Service Account
SFTP
SIMP
SSG
SSH
SSH File Transfer Protocol
SSL
SSSD
STIG
Sudosh
SYN cookies
syncookies
System Integrity Management Platform
System Security Services Daemon
T
tboot
TFTP
TLS
TPM
Transport Layer Security
Trivial File Transfer Protocol
Trusted Boot
Trusted Execution Technology
Trusted Platform Module
TTY
TXT
U
Universally Unique Identifier
UUID
V
Vagrant
Virtual Machine
Virtual Network Computing
VirtualBox
VM
VNC
W
WAN
Wide Area Network
X
X.509
Y
YAML
YAML Ain't Markup Language
Yellowdog Updater, Modified
YUM


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Before Change
Data from table 11.3 in Legendre & Legendre 1998
(p. 590). Loaded results as computed with vegan 2.0-8 and
compared with table 11.5 if also there.
self.Y = np.loadtxt(get_data_path("example3_Y"))
self.X = np.loadtxt(get_data_path("example3_X"))[:, :-1]
self.site_ids = ["Site0", "Site1", "Site2", "Site3", "Site4",
"Site5", "Site6", "Site7", "Site8", "Site9"]
self.species_ids = ["Species0", "Species1", "Species2", "Species3",
After Change
Data from table 11.3 in Legendre & Legendre 1998
(p. 590). Loaded results as computed with vegan 2.0-8 and
compared with table 11.5 if also there.
self.Y = pd.DataFrame(
np.loadtxt(get_data_path("example3_Y")),
columns=["Feature0", "Feature1", "Feature2", "Feature3",
"Feature4", "Feature5", "Feature6", "Feature7",
"Feature8"],
index=["Sample0", "Sample1", "Sample2", "Sample3", "Sample4",
"Sample5", "Sample6", "Sample7", "Sample8", "Sample9"])
self.X = pd.DataFrame(
np.loadtxt(get_data_path("example3_X")),
columns=["Constraint0", "Constraint1",
"Constraint2", "Constraint3"],


Currently only used to generate reset and device ID DFW records from firmware update files. More...
Public Member Functions | |
| PvDfwPayload (const PvString &aFilename) | |
| Constructor. More... | |
| PvDfwPayload (uint8_t *aBuffer, uint32_t aBufferLength) | |
| Constructor. More... | |
| virtual | ~PvDfwPayload () |
| Destructor. | |
Static Public Member Functions | |
| static PvResult | GetResetRecord (const PvString &aFirmwareFilename, uint8_t *aBuffer, uint32_t aBufferLength, uint32_t &aBytesWritten) |
| Generates a reset record from a firmware update file. More... | |
| static PvResult | GetDeviceIdRecord (const PvString &aFirmwareFilename, const PvString &aNewDeviceId, uint8_t *aBuffer, uint32_t aBufferLength, uint32_t &aBytesWritten) |
| Generates a reset record from a firmware update file. More... | |
Currently only used to generate reset and device ID DFW records from firmware update files.
This class may eventually be instantiated to perform DFW files manipulation. However, for the time being it only provides a fixed set of static functions used to generate ready-to-use DFW records.
| PvDfwPayload::PvDfwPayload | ( | const PvString & | aFilename | ) |
Constructor.
Use this constructor to work with a payload file.
| [in] | aFilename | Filename of the payload file to work on. |
| PvDfwPayload::PvDfwPayload | ( | uint8_t * | aBuffer, |
| uint32_t | aBufferLength | ||
| ) |
Constructor.
Use this constructor to work with a payload memory buffer.
| [in] | aBuffer | Pointer to the buffer of the payload to work on. |
| [in] | aBufferLength | Buffer length in bytes. |
|
static |
Generates a reset record from a firmware update file.
| [in] | aFirmwareFilename | Name of the firmware file to read the version and attributes from. |
| [in] | aNewDeviceId | |
| [in] | aBuffer | Memory buffer where to write the reset record. |
| [in] | aBufferLength | Length of the memory buffer, in bytes. |
| [out] | aBytesWritten | How many effective bytes were written to the buffer. |
|
static |
Generates a reset record from a firmware update file.
| [in] | aFirmwareFilename | Name of the firmware file to read the version and attributes from. |
| [in] | aBuffer | Memory buffer where to write the reset record. |
| [in] | aBufferLength | Length of the memory buffer, in bytes. |
| [out] | aBytesWritten | How many effective bytes were written to the buffer. |
Copyright (c) 2002-2015 Pleora Technologies Inc.
www.pleora.com


Here is the API for jrm's simple persistent store.
- Class: persistent-store
- Procedure:
persistent-store/open filename &key mode auxiliary-info
=> persistent-store
- filename — the absolute
pathname of the persistent store log file.
mode — one of
:read-only or :read-write. The default is :read-write.
auxiliary-info — an arbitrary
object. The default is NIL.
Opens an existing persistent store or creates a new one. If
filename exists, it opened and the
stored data in the file is reconstructed from the last committed
state. If filename does not exist, it
is created and initialized with no stored data.
A
persistent store may be opened in :read-only mode by many processes, but a
persistent store should only be opened by a single process when in :read-write mode, even if only one process in
writing. There is currently no protection mechanism to
enforce this.
When a persistent store is first opened, a search
is performed to find the latest valid commit record. If the
persistent store was closed as part of normal operation, the latest
valid commit record should be at the end of the log file. If, however,
the process using the store crashed, there could be a sizeable amount
of uncommitted data that must be skipped over to find the latest valid
commit record. Recovery after a crash can take noticably longer than
recovery after a graceful shutdown.
A process may call
persistent-store/open on a store that is
already open. Each call to persistent-store/open should eventually have a
matching call to persistent-store/close.
If persistent-store was originally
opened in :read-only mode and is
recursively opened in :read-write mode,
the store will be closed and re-opened in the new mode. If persistent-store was originally
opened in :read-write mode and is
recursively opened in :read-only mode,
the store will continue to be open in :read-write mode.
When a new persistent
store is created the auxiliary-info
object is simply printed near the beginning of the log file. It is
intended to be used for debugging or documentation. The auxiliary-info is ignored if the database
already exists.
Opening a persistent store may cause other
persistent stores to be opened in :read-only mode if the most recent transaction spanned
multiple persistent stores.
- Procedure:
persistent-store/open? persistent-store
=> boolean
- persistent-store —
a persistent-store.
Returns T if persistent-store is open, NIL otherwise.
- Procedure:
persistent-store/open-mode persistent-store
=> mode - persistent-store —
a persistent-store.
Returns either :read-only or :read-write. The return value is meaningless
if persistent-store isn't open.
- Procedure:
persistent-store/close persistent-store
=> unspecific - persistent-store —
a persistent-store.
Closes persistent-store.
Each recursive call to
persistent-store/open will increment a
counter associated with the persistent store. Each call to persistent-store/close decrements that counter.
When the counter reaches zero, and all transactions in which
persistent-store participates have
finished, the log file is closed. If a persistent store is involved
in a running nested transaction or a transaction that spans multiple stores,
it may remain open even after the call to persistent-store/close.
- Special Variable:
*default-persistent-store*
- When a
transaction is in process this variable is bound to the persistent store in which
all implicit persistent allocations will be made. This variable is
unbound outside of a transaction as a safety measure. Should an
erroneous program attempt to allocate persistent storage outside of a
transaction, and unbound variable error will be raised.
- Procedure:
call-with-default-persistent-store persistent-store thunk
=> values - persistent-store —
a persistent-store.
thunk —
a procedure of no arguments.
Invokes thunk in a dynamic context where *default-persistent-store* is bound to persistent-store. The values returned are
those returned from thunk. This is used to dynamically
control which persistent store is used for allocation when multiple
stores are open at the same time.
- Procedure:
call-with-transaction persistent-store transaction-type reason receiver
=> values - persistent-store — a
persistent store.
transaction-type — one of
:read-only, :read-write, or :read-cons.
reason — a string.
receiver — a procedure of one
argument.
Invokes receiver
within a transaction. All persistent allocation must take place
within a transaction. If receiver
returns normally, the transaction is committed and the persistent
objects are made accessible to future transactions. If the receiver performs a non-local exit, or if the
process crashes, the transaction aborts and the state of the
persistent store is unchanged.
Transactions only protect
allocations and modifications to the persistent store; modifications
to non-persistent data structures or variables are not undone if a
transaction aborts.
- Procedure:
persistent-object/save object persistent-store &optional node-id
=> positive-integer
- Procedure:
persistent-object/find persistent-store node-id
=> object
- Type:
transaction-type
- Procedure:
transaction/disposition transaction
=> disposition
- Procedure:
transaction/find-root transaction persistent-store
=> object
- Procedure:
transaction/mode transaction
=> transaction-mode
- Procedure:
transaction/reason transaction
=> string


B A C
A B C
B
A
C
Bootstrap is a mobile first framework. This means that the order of the columns in your HTML markup should represent the order in which you want them displayed on mobile devices. This would also mean that the pushing and pulling is done on the larger desktop views.
The two statements below summarize the functionality of the push and pull classes and should give you the full understanding of how they work, and how they should be used.
col-vp-push-x
= push the column to the right by x
number of columns, starting from where the column would normally render (position: relative
), on a vp
or larger view-port.
col-vp-pull-x
= pull the column to the left by x
number of columns, starting from where the column would normally render (position: relative
), on a vp
or larger view-port.
vp
= xs, sm, md, or lg (minimum viewport)
x
= 1 thru 12 (number of columns)


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{% extends "base.html" %} {% load i18n %} {% block title %}{% trans 'Server Error (500)' %}{% endblock %} {% block content %}
{% trans 'We are having technical problems at this moment' %}.
{% trans 'We apologize for any inconvenience this may cause to you' %}.
{% trans 'We are working on the fix and we hope to improve the service very soon' %}.
{% trans 'Thank you for your patience' %}.


User Guide for ACCOuNT Data Commons
Hosted Data Overview
ACCOuNT currently hosts genotyping, sequencing, and clinical data from the following programs:
- Open Access (Open-GEO)
- NU African American Hepatocytes
- The Discovery Project
- MESA (Multi-Ethnic Study of Atherosclerosis)
We list a description of each program and associated studies below.
Open-GEO contains genotype data for more than 300 participant samples associated with lung cancer cell lines, as well as associated phenotype information. The genotype data consists of mRNA microarrays and unaligned reads in the form of CEL and FASTQ files. Phenotype data includes information related to demographics, exposure, diagnosis, treatment, follow-up, and medical history of a subject. For more information on GEO, please visit the NCBI homepage located here.
NU African American Hepatocyte: This study contains genotype and associated transcriptome profile from hepatocytes obtained from African American livers. Transcriptomes were measured under the following seven treatments: Phenobarbital, Dexamethasone, Carbamazepine, Phenytoin, Rifampicin, DSMO, and Omeprazole. Indications on which drug is used can be found on the last digit of the submitter_id: XX-YY-Z, where Z displays a number from 1 to 7 indicating which drug is used. DSMO is 1, Omeprazole is 2, Phenobarbital is 3, Dexamethasone is 4, Carbamazepine is 5, Phenytoin is 6, and Rifampicin is 7. Genotype data includes submitted aligned reads and aligned read index files in the form of BAM files. Phenotype data consists of basic demographics when available. All data is also available at GSE147628, 124074, and 123995. Note: “NU” stands for “Northwestern University”.
The Discovery Project identifies genetic biomarkers (or SNPs) to cardiovascular drug response and disease susceptibility. “The Discovery Project” currently has phenotype and genotype data stored across 4 projects or research “arms.” All projects, except for healthy_platelet, contain demographic, drug phenotypic and clinical data. The particular elements for each arm are listed below. All arms have basic demographic data. Below we describe the data listed for each project:
- Healthy_platelet: Genotype files consist of unaligned reads, SNP arrays, genotyping arrays, simple germline variations, germline variation indices in the form of FASTQ, CEL, IDAT, VCF, and CSI files. Transcriptome data is available as FASTQ and BAM files. These are healthy African American volunteers with age values (sex is also available).
- Warfarin: Genotype files including simple germline variations, germline variation indices, and genotyping arrays in the form of IDAT, VCF, and CSI files. In addition, this study contains a CSV file with a comprehensive clinical dataset. Example clinical properties in this file include but are not limited to a list of comorbidities, warfarin dose, target INR, reason for warfarin treatment, and adverse bleeding events that occured while on treatment. All subjects were followed for 6-months after enrollment in the study.
- Novel Oral Anticoagulants (NOAC): Genotype files for simple germline variations, germline variation indices, and genotyping arrays in the form of IDAT, VCF, and CSI files. In addition, this study contains a CSV file with a comprehensive clinical dataset. Example clinical properties in this file include but are not limited: list of comorbidities, which NOAC drug was used, therapeutic dose, or list of active medications (RX and OTC) and adverse bleeding and clotting events that occured while on treatment, and a clinical Anti-Xa lab measure taken while on treatment. All subjects were followed for 6-months after enrollment in the study.
- Clopidogrel: Genotype files that include simple germline variations, germline variation indices, genotyping arrays, and SNP arrays in the form of IDAT, CEL, VCF, and CSI files. In addition, this study contains a CSV file with a comprehensive clinical dataset. Example clinical properties in this file include but are not limited to the following properties: list of comorbidities, clopidogrel dose, aspirin/NSAIDs dose, proton pump inhibitors, other medications, adverse bleeding and clotting events that occured while on treatment, and a clinical PRU lab measure taken while on treatment. All subjects were followed for 6-months after enrollment in the study.
MESA (Multi-Ethnic Study of Atherosclerosis) contains -omics data, such as genomic, transcriptomic, and proteomic data. This program consists of 2 studies with data files including ZIP, TAR, LOG, and TXT. The 2 available studies are:
- MESA_AACAC
- SHARe
How to get started
1. Login to the ACCOuNT Data Commons
a. Homepage
In order to navigate and access data available on the Gen3 platform, please start by visiting the login page (https://acct.bionimbus.org). Use the “Login to Google” on the homepage to authenticate:
After successfully logging in, your username will appear in the top-right corner of the page. You will also see a display with summary statistics for the total number of projects, subjects, and files available within the ACCOuNT Data Commons.
b. How to check your data access
To check your user access information, go to the website (https://acct.bionimbus.org) and click on “Login from Google”. In the “Exploration” tab located at the right-hand side of the page, you will be presented with the data you have access to under the Studies Sub-tab, Project_Id.
Similarly, you can visit the “Profile” page and view a list of your approved studies under the “You have access to the following project(s)” section, as shown in the figure below.
Currently, the ACCOuNT Data Commons hosts only 1 open access dataset, open-GEO. Users can request access to controlled data by visiting the dbGaP homepage or get into contact with the ACCOuNT consortium (https://precisionmedicine4all.com).
2. Data Explorer
The Exploration Page provides users with a venue to easily search through data and create cohorts via faceted search fields. By leveraging the different faceted search categories, users can not only create virtual cohorts within individual studies, but also across any of the available studies (with proper user authorization). Below, we explore the different core sections of the Exploration page.
a. The Subject Tab
Under the “Subject” Tab, users can leverage the ACCOuNT data model and a list of available phenotypic properties to create virtual cohorts. The selection of search facets will dynamically update the virtual cohort at the subject level. If no facets have been selected, all of the data accessible to the user will be displayed. At this time, users can filter based on properties grouped into 3 categories displayed as sub-tabs: Studies, Demographics and Clinical (image below).
Open Access Data
A user can view all of the summary data and associated study information they have access to, including but not limited to Project ID, file types, and clinical variables. Currently, the ACCOuNT Data Commons hosts open access data seen in the project open-GEO.
Users can request access by visiting the dbGaP webpage or get into contact with the ACCOuNT consortium.
b. The File Tab
The File tab provides users with search facets in order to dynamically generate lists of desired files (“Projects”, “File Category”, “File Type”, etc.). The complete list of selected files and associated metadata will be displayed in the table at the bottom right-hand corner of the page.
3. Downloading Data and Data Files
Users can download clinical metadata directly from the Data Explorer (section a below) or download files to their local environment by following 2 different processes. The first process allows for single-file downloads directly through the portal, and is explained in Section b below. The second process allows for multi-file downloads by leveraging the Gen3-client and a python SDK, as detailed in Section c.
a. Clinical Data and File Metadata Downloads via the Subject and File Tab
Users can download clinical data and file metadata from the Explorer Page. On the Subject Tab, users can download dynamically updated virtual cohorts at the subject level in table format, for example demographics, clinical data, and the submitter_ids. On the File Tab, users can download metadata associated with the data files, such as size, guids, data type, and submitter_ids.
Users need to click “Download Table” to save it to the local machine.
b. Single-file Downloads via the File Tab
Users can download files individually by visiting the summary table in the File tab (Refer to Section 2b for more information). The table provides a column titled GUID (Globally Unique Identifier) with a link to a download page.
Once a GUID is selected, the user will be redirected to the download page as displayed below:
Example: Finding and Downloading Individual Phenotypic Data Files
- Under the File Tab, select “CSV” beneath the “File Format” facet.
- Select one of the GUIDs (Globally Unique Identifier) stored for the phenotypic data files.
- Click “Download” on the next page.
b. Downloading Multiple Data Files
In order to download multiple files, you will need to utilize the gen3-client command line tool developed by the University of Chicago’s Center for Translational Data Science. For detailed information, you can visit the following page - https://gen3.org/resources/user/gen3-client/. The process consists of the 4 following steps:
- Create and download an API key.
- Prepare and download a file manifest of your selected cohort.
- Download and configure the gen3-client.
- Download the files.
1. Create and save an API key from the “Profile” page:
2. Prepare and download a file manifest
- Under the File Tab, select all data files of interest. Users can sort after project, file type, file category, file format, or find file names in the free text search bar.
- Click on the “Download Manifest” button. Note the directory where it was saved.
3. Download and configure the Gen3-client
- Follow the download instructions of the Gen3-client here.
- In your terminal, configure your profile using the following command:
gen3-client configure --profile=<profile_name> --cred=<credentials.json> --apiendpoint=<api_endpoint_url>
Example on Mac/Linux:
gen3-client configure --profile=demo --cred=~/Downloads/demo-credentials.json --apiendpoint=https://acct.bionimbus.org/
Example on Windows:
gen3-client configure --profile=demo --cred=C:\Users\demo\Downloads\demo-credentials.json --apiendpoint=https://acct.bionimbus.org/
2021/02/23 10:08:20 Profile 'demo' has been configured successfully.
If successfully executed, a configuration file will be stored under the directory the user specified under “cred”.
Users should confirm if the profile was configured successfully using the following command, which should list your access privileges for each project in the commons you have access to:
gen3-client auth --profile=demo
2021/02/23 10:12:10 You have access to the following project(s) at https://acct.bionimbus.org: 2021/02/23 10:12:10 discovery [create delete read read-storage update upload] 2021/02/23 10:12:10 mesa [create delete read read-storage update upload] 2021/02/23 10:12:10 nu [create delete read read-storage update upload] 2021/02/23 10:12:10 open [create delete read read-storage update upload]
For troubleshooting, refer to the instructions found here.
4. Download the data with the file manifest generated in Step 2
Run the following commands in the terminal:
gen3-client download-multiple --profile=<profile_name> --manifest=<manifest_file> --download-path=<path_for_files>
Example:
gen3-client download-multiple --profile=demo --manifest=manifest.json --download-path=downloads
2021/02/23 10:26:58 Reading manifest... 598 B / 598 B [======] 100.00% 0s 2021/02/23 10:27:00 Total number of GUIDs: 3 2021/02/23 10:27:00 Preparing file info for each file, please wait... 3 / 3 [======] 100.00% 0s 2021/02/23 10:27:00 File info prepared successfully account_warfarin_processed.csv 243.71 KiB / 243.71 KiB [======] 100.00% account_clopidogrel_processed.csv 197.93 KiB / 197.93 KiB [======] 100.00% account_noac_processed.csv 184.89 KiB / 184.89 KiB [======] 100.00% 2021/02/23 10:27:02 3 files downloaded.
For more information see the User Guide.
4. Understanding the Gen3 data model
Gen3-powered Data Commons employ a data model which describes, organizes, and establishes relationships for data across different datasets. The data model organizes and connects different categories, "nodes", with experimental metadata variables, “properties”. The data dictionary describes all nodes and enlisting properties in each node.
On ACCOuNT, the dictionary page contains an interactive representation of the Gen3 data model in two forms, “graph model” and “table view”, which is described below.
Note: the Gen3 Data Dictionary encompasses all study metadata displayed in the Gen3 ACCOuNT portal. Not all studies will contain data associated with the different nodes and properties available.
Node types, categories, and relationships between nodes are displayed in a hierarchical view. Links and node categories are highlighted in the legend (top right-hand side). Click on nodes to see properties and download available templates (“JSON”, “TSV”). Use the dictionary search bar (top left-hand side) to search through property names and descriptions. For more information on the Gen3 data model see https://gen3.org/resources/user/dictionary/.


Applicants statewide are required to complete the open burn permit application prior to
igniting an open burn. After the application process is completed, a copy of the
application is sent electronically to the county or municipal fire authority having
jurisdiction in the area where the open burning will take place.
Though the application process is the same statewide, some county and municipal fire
authorities require additional steps to be taken prior to issuing a valid open burn
permit. Applicants should contact their local fire authority once the open burn permit
application is complete to ensure all local open burning requirements are met.
The open burn permit application program is tied to two items:
First, it checks to see if there is an active open burn window.
Second, it checks the clearing index to see if it is forecast to be above 500.
If there is not an open burn window, or if the clearing index is forecast to be below 500,
the program will not allow a person to complete the application. The clearing index is
only forecast for a three day period, including the current day. The open burn permit
application may be completed up to two days in advance (i.e., Apply on Thursday or
Friday if you plan to burn on the weekend).
A permit applicant shall provide all information requested on the application.
An open burn permit application is required for each separate burn.
An open burn permit is valid only on the lands specified in the application and is
required to be on site at the time of the burn.
All materials to be burned must be clearly described and quantified in the application.
Applicants must be aware of any and all local, State, and federal rules and regulations
applicable to their area.
Open burning may be prohibited in some areas of the state.
There are three ways to complete the open burn permit application:
Internet
The open burn permit application can be completed online. Completing this form online
is the easiest and fastest way to complete the open burn permit application. An
electronic copy of the application is automatically submitted to the county or municipal
fire authority upon completion.
Telephone
An applicant can call the DAQ at 801-536- 4000 and complete the open burn permit
application process over the phone. A DAQ inspector will ask the applicant for the
required information and complete the application in just a few minutes.
Mail
A hard copy of the application may be completed and submitted by mail to DAQ for
electronic processing. To request a hard copy of the open burn permit application,
contact DAQ by phone at 801-536- 4000.
Note: It may take up to 14 days from the date of request to receive an open burn permit
if a hard copy is submitted for processing.


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Beeeeeeeeeep!!!


BufferQueue
This is the main object of the BufferQueue library.
Emitted events:
- 'added': when a new element to download is added to the queue
- 'removed': when an element is removed (and will not be downloaded)
- 'reseted': when the whole queue is reseted
- 'downloading': when a file is starting to be downloading (after being popped from the queue)
- 'failed': when a file could not be downloaded properly (status above 2xx)
- 'aborted': when a file download is aborted by an explicit abort() call
- 'success': when a file has been successfully downloaded and converted into an ArrayBuffer. Callback arguments are URL, ArrayBuffer, downloadTimeMs
new BufferQueue(options:
Object)
Extends
EventManager
Parameters
options (Object)
the option object
Instance Members
Get the level of priority of a given file
Parameters
str (string)
URL of the file to check
Returns
number
:
zero is the highest priority, -1 means the element is NOT
in the queue
Checks if a string is in the queue. Optionally, we can verify a specific
level only.
Parameters
str (string)
string to verify the presence in the queue
priority (number
= -1
)
OPTIONAL the priority (must be in
[0, level-1]
)
Returns
boolean
:
▸
isDownloadInProcess(str)
Checks if a given url is currently being downloaded
Parameters
Returns
boolean
:
true if being downloaded, false if not
▸
add(str, priority, priorityScore, true)
Add a string to the queue with a given priority.
If the string is already present in the queue with the same level of priority or higher, then nothing is done.
If the string is already present but with a different level of priority, then
it is removed and added with the provided level or priority.
Emits the event 'added' with the str as argument if properly added.
Parameters
str (string)
the string to add
priority (number)
the priority (must be in
[0, level-1]
)
priorityScore (any
= Infinity
)
true (boolean)
if added, false if not (because already in with a higher priority)
Check if the priority queue is empty (= if all the per-level-queues are all empty)
Returns
boolean
:
true if empty, false if not empty
Get the total number of elements in the priority queue, or optionnaly, for a specific
level of priority
Parameters
priority (number)
OPTIONAL level of priority
Get the size of the queue for each priority level
Returns
array
:
Note: this should be used as rarely as possible since it does not respect the logic
of a queue.
Remove an element. If null is returned, this means the element was not in the queue.
Emits the event 'removed' if the str as argument if properly removed
Parameters
null-null (string)
str, the element to remove
Returns
(string | null)
:
the element that was jsut removed
Reset the whole priority queue, empty it all. No value returned.
Emits the event 'reseted' without any argument
reset()
Abort the download of a specific file. If the file was actually being downloaded,
the aborted
event will be emitted.
Note: once a file is aborted, it is no longer in a queue.
Parameters
str (string)
the URL of the file to abort
Abort all the current downloads. aborted
event will be emitted.
abortAll()
Get a string status of the prioirty queue size per level and the number of
files currently being downloaded.
Returns
string
:
If priority scores are given, elements can be sorted based on that.
sortWithinLevel()
PriorityQueue
This priority queue works with levels of priority, 0 beeing the highest priority
and following level will be of decreasing priority.
In term of implementation, PriorityQueue instanciates N Queues, where N is the
number of priority levels. The number of priority levels has to be given at
the creation of a PriorityQueue instance.
new PriorityQueue(levels: any)
Parameters
Instance Members
Get the level of priority of a given string
Parameters
Returns
number
:
zero is the highest priority, -1 means the element is NOT
in the queue
Checks if a string is in the queue. Optionally, we can verify a specific
level only.
Parameters
str (string)
string to verify the presence in the queue
priority (number
= -1
)
OPTIONAL the priority (must be in
[0, level-1]
)
Returns
boolean
:
▸
add(str, priority, priorityScore, true)
Add a string to the queue with a given priority.
If the string is already present in the queue with the same level of priority or higher, then nothing is done.
If the string is already present but with a different level of priority, then
it is removed and added with the provided level or priority.
Parameters
str (string)
the string to add
priority (number)
the priority (must be in
[0, level-1]
)
priorityScore (any
= Infinity
)
true (boolean)
if added, false if not (because already in with a higher priority)
Get the the element with the highest priority and remove it from the queue
Returns
(string | null)
:
can return null if the queue is empty
This version of pop relies on the probability map to make sure that some lower
priorities items are getting popped every now and then, even if there are still
elements in higher priority queues
pop()
Check if the priority queue is empty (= if all the per-level-queues are all empty)
Returns
boolean
:
true if empty, false if not empty
Get the total number of elements in the priority queue, or optionnaly, for a specific
level of priority
Parameters
priority (number
= -1
)
OPTIONAL level of priority
Get the size of the queue for each priority level
Returns
array
:
Note: this should be used as rarely as possible since it does not respect the logic
of a queue.
Remove an element. If null is returned, this means the element was not in the queue.
Parameters
null-null (string)
str, the element to remove
Returns
(string | null)
:
the element that was jsut removed
Reset the whole priority queue, empty it all. No value returned.
reset()
Get a string status about the queue length per level
Returns
string
:
If a priotrity score is given to the elements, then each level of priority can
have their element sorted within.
sortWithinLevel()
Queue
A queue to add and pop string. It also provides an arbitrary remove function.
A queue is first-in-first-out.
Elements in this queue must be strings
new Queue()
Instance Members
▸
add(str, priorityScore)
Add a string at the end of the queue. Not added again if already in there.
add(str:
string, priorityScore: any)
Parameters
str (string)
some string to add
priorityScore (any
= Infinity
)
Check if this queue contains a given string
Parameters
Returns
boolean
:
true if this queue has a given string, false if not
Extract the first element
Returns
string
:
the first element
Is the queue empty?
Returns
boolean
:
true if empty, false if not
Get the number of element in the queue
size(number: any)
Parameters
Get the first element of the queue without removing it
(Not sure how useful is that)
Returns
string
:
Get the last element of the queue without removing it
(Not sure how useful is that)
Returns
string
:
Remove an element from the queue and returns it
Parameters
str (string)
an element to remove
Returns
(string | null)
:
Remove all the elements of the queue
reset()
If a priority score is given to the elements, then we can sort the queue based on that
sortByPriorityScore()
EventManager
The EventManager deals with events, create them, call them.
This class is mostly for being inherited from.
new EventManager()
Instance Members
▸
on(eventName, callback)
Define an event, with a name associated with a function
Parameters
eventName (String)
Name to give to the event
callback (Function)
function associated to the even
Emit the event(s). If multiple callbacks are tied to this event,
they will be called in the order they were declared.
Parameters
eventName (string)
name of the event to fire.
args (array
= []
)
argument to call the callback with.
Note that within the callback, those arguments will be "flattened" and not as an array.


Sandwich Fckrs is a new concept from a group of friends determined to bring their ridiculous ideas to life through food and events. The vision for Sandwich Fckrs was birthed from an irreverence for food trends, and a desire to create memorable edible experiences for your mouth and soul. Inspired by their diverse ethnic roots and nostalgia for the flavors of the Midwest and the East coast, Kate, Alex, and AJ’s goal is to simply give you great food in a friendly atmosphere you can’t get enough of.
It’s complicated. Yes, we can make sandwiches. No, it’s not our focus. Our focus is on flavor that makes your heart sing and your mouth water.
Co-owner and Executive Chef Alex Abdel-Monem has years of experience in fine dining from New York to Miami and now Los Angeles. He established his L.A. street cred when he put Sonny’s Hideaway on the map for food in Highland Park, and continues to wow the masses in West Hollywood as the Chef de Cuisine at Laurel Hardware. In addition, sous chefs, Kate and AJ, are overly opinionated foodies with well-traveled palates, leaving you in the best of hands when it comes to flavor.


Packages
*Individual tickets cost $50 per person
Basic Package
Price:
$200 for a party of 5
$30 for each additional person
- All-day park access
- 2 Attraction passes per participant
Deluxe Package
Price:
$300 for a party of 5
$30 for each additional person
- All-day park access
- 3 Attraction passes per participant
- Free 5 Stars T-Shirt
Ultimate Blast Package
Price:
$400 for a party of 5
$30 for each additional person
- All-day park access
- 5 Attraction passes per participant
- Free meal voucher for each participant
- 5 Stars T-Shirt and 5 Stars water bottle
Party Package
Price:
$450 for a party of 10
$20 for each additional person
- All-day park access
- Free parking
- Party lounge access
- Party themed photos
Holiday Package
Price:
$250 for a party of 5
$20 for each additional person
- All-day park access
- 2 Attraction passes per participant
- Holiday themed 5 Stars t-shirt
- Holiday themed photos
Behind the Scenes Package
Price:
$350 for a party of 5
$40 for each additional person
- All-day park access
- 3 Attraction passes per participant
- Behind the scenes tour of the 5 Stars facility
*please call if your party size is greater than one hundred people
Make a reservationSuccess!
Your reservation has been made. Please show your card to attendants when you arrive at the park to redeem your tickets.
Failure!
Your reservation failed to be placed because we are not open on that day.
Oops!
We're fully booked for this day. Try rescheduling for another time.


Makes it possible through simple functions and commands to get and
organize official danish statistics within a wide range of subjects. Visit
the <http://statbank.dk/> and <http://api.statbank.dk/console> for further
exploration of Statistics Denmark data.
| Version: |
0.1.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
jsonlite, tibble, dplyr, tidyr, utils, stringr, ggplot2, httr, readr, lubridate |
| Suggests: |
knitr, rmarkdown, testthat |
| Published: |
2017-09-30 |
| Author: |
Mikkel Freltoft Krogsholm |
| Maintainer: |
Mikkel Freltoft Krogsholm <mikkel at 56n.dk> |
| BugReports: |
https://github.com/mikkelkrogsholm/statsDK/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/mikkelkrogsholm/statsDK |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
statsDK results |


Roasting coffee transforms the chemical and physical properties of green coffee beans. When roasted, the green coffee bean expands to nearly double its original size, changing in color and density. As the bean absorbs heat, its color shifts to yellow, then to a light "cinnamon" brown, and then to a rich dark brown color. During roasting, oils appear on the surface of the bean. The roast will continue to darken until it is removed from the heat source.
Coffee can be roasted with ordinary kitchen equipment (frying pan, grill, oven, popcorn popper) or by specialised appliances. A coffee roaster is a special pan or apparatus suitable to heat up and roast green coffee beans.
The vast majority of coffee is roasted commercially on a large scale, but small-scale commercial roasting has grown significantly with the trend toward "single-origin" coffees served at specialty shops. Some coffee drinkers even roast coffee at home as a hobby in order to both experiment with the flavor profile of the beans and ensure themselves of the freshest possible roast.


This page contains the notes for the first part of R Workshop Module 2: R basics, which is part of the R Workshop series prepared by ICJIA Research Analyst Bobae Kang to enable and encourage ICJIA researchers to take advantage of R, a statistical programming language that is one of the most powerful modern research tools.
Click here to go to the workshop home page.
Click here to go to the workshop Modules page.
Click here to view the accompanying slides for Module 2, Part 1.
Navigate to the other workshop materials:
Now, let us get started with R for real. Module 2 is design to help you to grasp the fundamental concepts of the R language, which are basic building blocks for using R for data analysis and more!
Here are the key concepts we will be learning in this part:
Source: Wikimedia Commons
In R, anything and everything we use and create is an object. R has various object “types”. Some of the key object types include:
c()
)list()
)factor()
)data.frame()
)In the following, we will take a deeper look at vectors (a.k.a. atomic vectors) and lists.
Vector is the most fundamental data type in R, which roughly corresponds to array in other programming languages. Almost everything else in R is built on top of vectors with few exceptions like NULL
. In fact, technically, even a single value is a vector of length 1 (this can be verified using the is.vector()
function with a single character or number as its input). In that sense, vectors in R are also known as “atomic” vectors.
Vectors come in different types. Here are the basic vector types:
logical
: Boolean values of TRUE
and FALSE
double
: floating-point numbers representing real numbersinteger
: integerscomplex
: complex numberscharacter
: string of alphanumeric lettersLet’s take a look at some examples of these vector types. A vector is created using the c()
function. We may think that the “c” means “concatenate”. Note that the class()
function returns the vector type for the given object, instead of simply returning vector
.
# this is a logical vector
logical_vector <- c(TRUE, FALSE, T, F)
is.logical(logical_vector)
## [1] TRUE
class(logical_vector)
## [1] "logical"
# this is a double (numeric) vector
double_vector <- c(1, 2, 3)
is.double(double_vector)
## [1] TRUE
class(double_vector)
## [1] "numeric"
# this is an integer (numeric) vector
integer_vector <- c(1L, 2L ,3L)
is.integer(integer_vector)
## [1] TRUE
class(integer_vector)
## [1] "integer"
# this is a character vector
character_vector <- c("a", "b", "c")
is.character(character_vector)
## [1] TRUE
class(character_vector)
## [1] "character"
# an object with a single element is also a vector!
x <- 1
y <- "Am I a vector?"
is.vector(x)
## [1] TRUE
is.vector(y)
## [1] TRUE
A vector often comes as a series of multiple values or elements–this is probably why it is called a “vector”, like a mathematical vector.
To access a particular element in a vecgtor, we can use the index of an element with []
:
fruits <- c("apple", "banana", "clementine")
first_fruit <- fruits[1]
print(first_fruit)
## [1] "apple"
second_fruit <- fruits[2]
print(second_fruit)
## [1] "banana"
We can also assign a new value to the accessed vector element:
# giving a new value to an existing element
fruits[1] <- "apricot"
print(fruits)
## [1] "apricot" "banana" "clementine"
Or create a new element:
# creating a new element
fruits[4] <- "dried mango"
fruits
## [1] "apricot" "banana" "clementine" "dried mango"
Multiple elements can be accessed in two ways. First, we can use a vector of indices:
first_and_third_fruits <- fruits[c(1, 3)]
print(first_and_third_fruits)
## [1] "apricot" "clementine"
Second, we can use the colon operator for a sequence (we will come back to the colon operator):
first_thru_third_fruits <- fruits[1:3]
print(first_thru_third_fruits)
## [1] "apricot" "banana" "clementine"
Vector elements can be accessed conditionally as well:
my_vector <- c(1, 2, 3, 4, 5)
# print only elements less than 3
print(my_vector[my_vector < 3])
## [1] 1 2
# assign 0 to such elements
my_vector[my_vector < 3] <- 0
print(my_vector)
## [1] 0 0 3 4 5
An R vector cannot consist of elements of different vector types. Considering that a single element is in fact a vector of length 1, we can see how such an idea is a simple impossibility.
In contrast, an R list, created by list()
function, can contain elements of different types. A list is, in fact, a list of vectors:
my_list <- list("abc", 125, FALSE, c("Hello", "World"))
print(my_list)
## [[1]]
## [1] "abc"
##
## [[2]]
## [1] 125
##
## [[3]]
## [1] FALSE
##
## [[4]]
## [1] "Hello" "World"
Note that an element of a list can be a vector of length greater than 1. In fact, a list can have a nested structure, where an element of a list is also a list itself.
names(my_list) <- c("character", "numeric", "logical", "character vector")
my_list
## $character
## [1] "abc"
##
## $numeric
## [1] 125
##
## $logical
## [1] FALSE
##
## $`character vector`
## [1] "Hello" "World"
Elements in a list can be accessed using their indices or names:
# using index (this returns a list element, NOT the actual content)
my_list[4]
## $`character vector`
## [1] "Hello" "World"
# using name (this returns the content itself)
my_list$`character vector`
## [1] "Hello" "World"
In order to access the content of a list element using the index approach, we must use [[]]
instead:
my_list[[1]]
## [1] "abc"
# the result is the same with accessing an element using name
identical(my_list[[1]], my_list$character)
## [1] TRUE
# in contrast:
identical(my_list[1], my_list$character)
## [1] FALSE
A list can be “unlisted”, i.e., converted into a vector. This is achieved by the unlist()
function:
new_list <- list(1:5)
to_vector <- unlist(new_list)
# this is a list
print(new_list)
## [[1]]
## [1] 1 2 3 4 5
# this is a vector
print(to_vector)
## [1] 1 2 3 4 5
Source: clker.com
A program can be seen as a collection of expressions, which are executable pieces of code. In R, an expression consists of the following:
We have already seen objects. We will now take a closer look at the rest of them.
Operators are used to manipulate objects in R. They are like functions but used without the parentheses, ()
, required to invoke a function. Let use take a look at some of the operators in R:
The following table lists operators for basic arithmetics:
| Operator | Description | Example |
|---|---|---|
+ |
Addition | 1 + 1 (returns 2) |
- |
Substraction | 3 - 2 (returns 1) |
* |
Multiplication | 3 * 4 (returns 12) |
/ |
Division | 5 / 2 (returns 2.5) |
^ or ** |
Exponentiation | 2**4 (returns 16) |
%% |
Modulus | 5 %% 2 (returns 1) |
%/% |
Integer division | 5 %/% 2 (returns 2) |
The following table lists logical operators for booelan values:
| Operator | Description | Example |
|---|---|---|
& |
Element-wise logical AND | c(TRUE, TRUE) & c(TRUE, FALSE) returns TRUE FALSE |
| | | Element-wise logical OR | c(TRUE, FALSE) | c(FALSE, FALSE) returns TRUE FALSE |
! |
Logical NOT | !c(TRUE, FALSE) returns TRUE |
&& |
Logical AND (considers the first element only) |
c(TRUE, TRUE) && c(FALSE, TRUE) returns FALSE |
| || | Logical OR (considers the first element only) |
c(TRUE, TRUE) || c(FALSE, TRUE) returns TRUE |
The following table lists relational operators used to compare the values of two objects:
| Operator | Description | Example |
|---|---|---|
> |
Greater than | 3 > 1 returns TRUE |
< |
Less than | 3 < 1 returns FALSE |
== |
Equal to | 2 == 2 returns TRUE |
>= |
Greater than or equal to | 3 >= 4 returns FALSE |
<= |
Less than or equal to | 4 <= 4 returns TRUE |
!= |
Not equal to | 2 != 3 returns TRUE |
The following table lists assignment operators used to create/modify variables:
| Operator | Description | Example |
|---|---|---|
<- or = |
Left assignment | a <- "Hello" assigns "Hello" to the object a |
-> |
Right assignment | The use of -> is mostly discouraged |
<<- |
Left scoping assignment | Search for the variable in the parent environments takes place before assignment |
->> |
Right scoping assignment | Ditto |
The following table lists some miscellaneous operators:
| Operator | Description | Example |
|---|---|---|
: |
Colon operator to generate sequences | 1:10 generates a vector of integer sequence from 1 to 10 |
? |
Help function to see documentation | ?my_function is equivalent to help(my_function) |
$ |
List subset | my_list$a will access the subset a in the list |
%in% |
“In” operator | 1 %in% c(1,2,3) returns TRUE |
%*% |
Matrix multiplication |
In practice, using R operators is no different from a function call. Accordingly, it is also possible to define new operators. In fact, some third party packages offer custom operators. One such example is the “pipe” operator (%>%
) from magrittr
package, which is also available through dplyr
pacakge.
By default, R runs statements in a sequential manner, from top to bottom. There are however ways to break from this using contronl structures. Here we call it “flow control”.
In the following, we will take a look at two basic flow control methods: conditionals and loops.
Using conditionals means creating a desired “flow” of evaluating statements based on certain conditions: i.e. if A, then B.
R offers if
statement to acheieve this. The basic if
statement structure is given as follows:
if ( condition ) { expression }
Let’s try an example:
a <- TRUE
if (a) {
print("Hello World!")
}
## [1] "Hello World!"
Here, the variable a is a condition to be tested. If the value of the condition is boolean TRUE
, than the statements between curly braces {}
are executed. If the condition value is FALSE
, R jumps ahead the statemetns between {}
.
It is possible to create more elaborate flow control structures. R provides else
statement for the statements to run only if the preceding if
condition is FALSE
. Then, we can chain multiple if
-else
s to incorporate multiple conditions.
The following code block presents an example of chained if
-else
statement with three conditions: (1) a
is greater than b
, (2) a
is not greater but is less than b
, (3) a
is neither greater or less than b
. R evaluates these conditions in a sequential manner, and when the condition evaluates as TRUE
, executes the relevant statements.
a <- 1
b <- 2
if (a > b) {
print("a is larger than b.")
} else if (a < b) {
print("a is smaller than b.")
} else {
print("a and b are equal!")
}
## [1] "a is smaller than b."
ifelse
functionifelse(test_expression, true_value, false_value)
R also offers ifelse
function, which is to try the condition for each element of a multi-element object. That is, ifelse()
is an element-wise if-else conditional. Here, the given condition (test_expression
) is tested for each and every element of a vector and the output is a vector of the same length with relevant values.
In the following example, ifelse
will return a vector of 4, which equals to the length of input vector a
, and the each element of the output vector is the result of testing whether the input element is less than 3.
a <- c(1,2,3,4)
ifelse(a < 3, "Less than 3", "Not less than 3")
## [1] "Less than 3" "Less than 3" "Not less than 3" "Not less than 3"
R offers looping statements for tasks that involve some repetitions. Here we will take a look at two commonly used looping methods: while
and for
.
while
loopswhile ( condition ) {
expression
}
for
loopsfor (element in iterable_object) {
expression
}
while
loopSource: DataMentor
A while
loop consists of a condition and a group of statments (expression) to be executed.
while (condition) {
expression
}
while
statement goes through the following steps:
condition
is satisfied (i.e. evaluates as TRUE
), then the following expression
is executed.expression
is executed, the condition
is re-evaluated.expression
is repetitively executed as long as the condition
is satisfied.This means that, if the condition is always TRUE
, we will be stuck in an infinite loop!
The folloing example uses while
statement to print a number from 0 to 4. Because we add 1 to count at each loop, we can be rest assured that the condition will return FALSE
at one point, and the loop will terminate.
count <- 0
while (count < 5) {
print(count)
count = count + 1 # increase count by 1 at each iteration
}
## [1] 0
## [1] 1
## [1] 2
## [1] 3
## [1] 4
for
loopSource: DataMentor
A for
loop is similar to while
loop, except that it takes an iterable object (vector or list) rather than a condition.
for (element in iterable_object) {
expression
}
Intead of checking for a condition, for
loop iterates over all elements of the given object in order. The loop terminates when we reach the final element of the iterable object. At each step of iteration, we can use the given element for the expression
if appropriate.
Let’s try couple examples.
In the first example, we directly iterate over the elements of fruits
vector. At each step, the value of fruit
changes and made available between the curly braces as a variable. In this example, the paste()
function is used to concatenate multiple character strings into one.
fruits <- c("apple", "banana", "clementine")
# iterate over elements directly
for (fruit in fruits) {
print(paste("I love ", fruit, "!", sep=""))
}
## [1] "I love apple!"
## [1] "I love banana!"
## [1] "I love clementine!"
In the second example, we indirectly iterate over the flavors
vector using indices.
flavors <- c("chocolate", "vanilla", "cookie dough")
# iterate over elements indirectly
for (i in 1:length(flavors)) {
flavor <- flavors[i]
print(paste("Do you want some", flavor, "ice cream?"))
}
## [1] "Do you want some chocolate ice cream?"
## [1] "Do you want some vanilla ice cream?"
## [1] "Do you want some cookie dough ice cream?"
break
statementSource: DataMentor
By combining conditionals and loops, we can generate a more complex flow control structure. Here we introduce two additional statements, break
and next
, which support creating advanced control structure.
# with for loop
for (element in iterable_object) {
if (break_condition) {
break
}
expression
}
# with while loop
while (loop_condition) {
if (break_condition) {
break
}
expression
}
break
statment is used to “break out”of the loop when certain condition is met.
next
statementSource: DataMentor
# with for loop
for (element in iterable_object) {
if (next_condition) {
next
}
expression
}
# with while loop
while (loop_condition) {
if (next_condition) {
next
}
expression
}
next
statement can be used to skip a step in a loop when a certain condition is met.
Source: Wikimedia Commons
In R, functions are special objects that are “call-able”. In other words, a function can be called or invoked by following ()
. Meanwhile, a function can be manipulated just in the same way as any other object.
There are three elements of a function (or function closure):
A key function of a function (pun intended :)) is to encapsulate repeated operations so that we can:
In other words, if you find yourself copying and pasting the same code chunk over and over, you should wrap it into a function.
# creating a new function
name <- function(arg1, arg2) {
# body exist in a local environment
body expression1
body expression2
body expression3
}
Just as we assign some values to a symbol (or a variable) to create an object, we assign a function() {}
to a symbol to create a function. We put a number of arguments, or parameters, into the ()
, and a set of operations in {}
, where the parameters can be used to represent actual inputs.
It must be noted that the expressions inside {}
are living in a “function environment” that is “closed” off of the global environment. We will talk more about environments later. For now, we should only remember the following key points:
Now, let’s take a look at some examples to explore how we can create a function.
# example: a custom function for adding two numbers
add_nums <- function(num1, num2) {
return(num1 + num2)
}
add_output <- add_nums(3, 5) # assign the function output to a variable
print(add_output)
## [1] 8
In this example, we create a function add_nums
, which takes two numbers as arguments and returns the sum of the two numbers. The output value that the function returns can be assigned to create an object.
# example: a custom function without arguments
print_hello_world <- function() {
print("Hello world")
}
print_hello_world()
## [1] "Hello world"
Here, we create a function print_hello_world
, which has no argument input. That is, we are not required to have arguments to create a function. In fact, the function also has no real output–it just prints a phrase. Calling the function will print the phrase.
add_nums_2 <- function(num1, num2 = 5) {
num1 + num2
}
add_nums_2(3) # call a function using the default value for num2
## [1] 8
A function can be given default values to its arguments. If the argument value is not given when the function is called, the default value is used for that argument. It is a good practice to make default values something that are expected to be used most often when calling the function.
Source: Hadley Wickham, 2017, Advanced R
Environment is a tricky concept to grasp.  That is, all variables (as bindings of symbols and objects) exist in a specific environment. More precisely, objects live in memory outside all environment; it is the symbols and the associations of the symbols (variable names) and objects to which the symbols point/refer that an environment contains.
As we will see shortly, environments can have a nested structure.
There are two simple rules to know about the nesting of environments:
Source: Hadley Wickham, 2017, Advanced R
In this picture, the box on the left represents a parent environment and the box on the right is a child environment. Variables a
, b
, and c
are stored in the parent environment while d
and e
are in the child environment. According to the two basic rules about environments, accessing variables d
and e
from the parent environment is not possible but, a
, b
, and c
are still accessible from the child environment.
There is something called “global environment” in R, which deserves our special attention. In short, the global environment serves as the interactive workspace for the given R session. When we create new variables using the console, they will live in the global environment.
The immediate parent of the global environment is the environment of the package that is imported last. This is how all the datasets and functions from the package, as well as other pacakges imported prior to it, are made available in the global environment.
In R, an environment is like a function, and the global environment can be accessed using globalenv()
, which works like a named list as shown in the folloing code chunk:
some_variable <- 1 # a variable in the global environment
global_env <-globalenv() # the environment itself can be assigned to a variable
# the following two are identical
identical(some_variable, global_env$some_variable)
## [1] TRUE
If there is the global environment, there are local environments as well. Local environments are created in two ways:
* any function calls
* `new.env()`
A local environment can be used to protect the global environment from arbitrarily created variables.
Searching for an object in R follows the lexical scoping rules.
emptyenv()
) is reached.Source: Hadley Wickham, 2017, Advanced R


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'Presidential Harassment': Trump Unleashes Twitterstorm Ahead of Public Impeachment Hearings
Along with retweeting messages from other users, Trump also slammed the Democrats, calling them “losers for America” and accusing them of “3 years of relentless attacks” against the Republican Party and himself.
As the ongoing impeachment inquiry against US President Donald Trump is about to enter a new phase, he went on to smash the probe and people related to it via his favorite medium, Twitter, The Hill notes.
As the media outlet points out, Trump ended up retweeting 17 posts in about an hour, with the tweets in question “hammering Democrats over the probe” and with some of the messages “specifically going after some witnesses who have already testified behind closed doors”.
The US president also slammed the Democrats himself, calling them “losers for America” and accusing them of “3 years of relentless attacks” against the Republican Party and himself.
“Presidential harassment!” Trump exclaimed in another tweet.
The impeachment inquiry is set to begin public hearings of witnesses next week, a divisive move which Republicans have deemed an attempt to sway public opinion against the US president.
The probe, dubbed a "witch hunt" by Trump, was started by Democrat-led committees in September over a whistleblower complaint alleging that Trump had abused his powers in a telephone call with the Ukrainian president by "pressuring" him to start a criminal probe against Joe Biden, a former vice president who is now one of the main candidates to clash with Trump in the 2020 elections.


This icon set has 24x24 icons designed to Material Design guidelines that are used for 'Round' and 'TwoTone' icons in official Material Design Icons with one minor change: thin 1px stroke is allowed where it makes sense.
Icons use stroke that can be animated on first render. All you have to do is add class "iconify--line-md" to SVG element (Iconify SVG framework does it automatically) and include stylesheet from https://code.iconify.design/css/line-md.css
To refresh animation you can either re-render icon or use display to hide and show it.
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To Ruby from Perl
Perl is awesome. Perl’s docs are awesome. The Perl community is… awesome. However, the language is fairly large and arguably complex. For those Perlers who long for a simpler time, a more orthogonal language, and elegant OO features built-in from the beginning, Ruby may be for you.
Similarities
As with Perl, in Ruby…
- You’ve got a package management system, somewhat like CPAN (though it’s called RubyGems)
- Regexes are built right in. Bon appétit!
- There’s a fairly large number of commonly-used built-ins.
- Parentheses are often optional
- Strings work basically the same.
- There’s a general delimited string and regex quoting syntax similar to
Perl’s (looks like
%q{this (single-quoted)}
, or%Q{this (double-quotish)}
, and%w{this for a single-quoted list of words}
. You%Q|can|
%Q(use)
%Q^other^
delimiters if you like). - You’ve got double-quotish variable interpolation, though it
"looks #{like} this"
(and you can put any Ruby code you like inside that#{}
). - Shell command expansion uses `backticks`.
- You’ve got embedded doc tools (Ruby’s default is called rdoc, there are some others available as well).
Differences
Unlike Perl, in Ruby…

- A variable isn’t the same as the object to which it refers. Instead, it’s always just a reference to an object.
- Although
$
and@
are used as the first character in variable names sometimes, rather than indicating type, they indicate scope ($
for globals,@
for object instance, and@@
for class attributes). - Array literals go in brackets instead of parentheses.
- Composing lists of other lists does not flatten them into one big list. Instead you get an array of arrays.
- It’s
def
instead ofsub
. - There’s no semicolons needed at the end of each line. Incidentally,
you end things like function definitions, class definitions, and case
statements with the
end
keyword. - Objects are strongly typed. You’ll be manually calling
foo.to_i
,foo.to_s
, etc., if you need to convert between types. - There’s no
eq
,ne
,lt
,gt
,ge
, norle
. - There’s no diamond operator. You usually use
IO.*some_func*
instead. - The fat comma is only used for hash literals.
- There’s no
undef
.  It’s not the same as an undefined variable. It evaluates tofalse
if you treat it like a boolean. - When tested for truth, only
false
andnil
evaluate to a false value. Everything else is true (including0
,0.0
, and"0"
). - There’s no PerlMonks. Though the ruby-talk mailing list is a very helpful place.


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ncr
Businessmodel of NCR
Customer Segments
NCR provides products and services to a range of commercial customers of varying sizes. The Company’s customers principally operate in the following sectors:
- Financial Services, principally comprising banking institutions, with a focus on retail banking providers;
- Retail, comprising department stores, supermarkets, grocery stores, wholesalers, convenience stores, petrol stations and small businesses;
- Hospitality, comprising restaurants and food service outlets, and sports and entertainment venues; and
- Travel, comprising airlines, airports, car rental companies, and hotel operators. The Company also serves customers in the manufacturing and transportation industries.
NCR’s native US represents the Company’s largest single market, accounting in 2015 for almost half of the Company’s total annual revenue. The Company also reports revenue across the remainder of the Americas, as well as across Europe, the Middle East and Asia, and Asia Pacific.
Value Propositions
NCR provides value to its customers through the quality and reliability of its products and services, its established and respected brand identity, its commitment to innovation and development, and the range and accessibility of its products and services.
NCR is a market leader in its sector, and has one of the industry’s most established brands. It devotes a substantial portion of its annual revenue to research and development activities each year, with a view to providing its customers with the most up-to-date solutions.
Channels
NCR operates multiple sales and distribution channels for its various products and services. The Company operates a website at www.ncr.com, where customers can view the Company’s sales and products. It also operates online sales channels, such as its www.ncrretailonline.com, where customers can sign up and pay for NCR services. The Company also provides a range of mobile applications that enable customers to access the Company’s services on the go.
NCR also operates its own direct sales teams across its operational jurisdictions: the Americas, Europe, the Middle East and Africa, and Asia Pacific. The Company also sells and distributes its products through a network of third-party intermediaries, including value-added resellers, distributors, independent dealers, office product retailers, contract stationers, original equipment manufacturers, and online retailers.
Customer Relationships
NCR provides a range of products and solutions to customers on a self-service basis, with customers able to pay for certain solutions, and register and manage user accounts through the Company’s online channels without interacting with members of the NCR sales team.
NCR provides a more personalised service to its customers of more complex services and solutions, consulting with customers over a period of time in order to fully cover the customer’s needs. The Company agrees long-term, multi-year contracts with a number of customers.
After sale, NCR continues to provide support and technical assistance to its customers, providing service contracts with key customers and maintaining additional managed service relationships. Additionally, the Company makes a range of user guides and support resources available through its website.
NCR interacts with its customers directly through its blog and social media accounts with LinkedIn, Facebook, Twitter Google+ and YouTube.
Key Activities
NCR is a technology company that provides products and services that enable commercial entities to connect, interact and transact with their customers.
The Company operates through four business segments: Financial Services, Retail Solutions, Hospitality and Emerging Industries.
It offers customers a portfolio of self-service and assisted-service solutions, targeted principally at customers in the financial services, retail, hospitality, travel and telecommunications and technology sectors.
Its products and services include software and hardware solutions for ATMs and bank branches, retail and hospitality point of sale applications and devices, as well as self-service kiosks and software applications.
NCR also provides a range of support services both in relation to its owns products and those manufactured by third parties.
The Company also offer a range of software-as-a-service solutions, including cloud solutions, hosted services, and online, mobile and transactional services and applications, and resells third-party networking products.
Key Partners
Throughout the process of the manufacture, development, sale and distribution of NCR’s products, the Company collaborates with a number of companies across multiple sectors. These partners are categorised as part of NCR’s Interact Global Partner Program as follows:
- Financial/ATM Solution Partners;
- Retail Solution Providers;
- Software Developing Solution Partners; and
- Channel Partners. These partners largely comprise software development companies, hardware producers, distributors, value added resellers and Original equipment manufacturers. The Company also partners with a number of technology that collaborates with NCR across its four business segments. These partners include high-profile names such as Motorola Solutions, Mitek Systems, McAfee, AJB Software, Epson and VendorNet.
Key Resources
NCR’s key resources are its technology and intellectual properties, its IT infrastructure, its domestic and international manufacturing facilities, its sales and distribution network, and its personnel.
NCR holds a number of patents, including 1,450 patents in the US and numerous other patents in foreign countries. NCR also has numerous patent applications pending in the US and in foreign countries.
Cost Structure
NCR incurs costs in relation to the research and development of its products and technology solutions, the manufacture of its products – including subcontracting and supply chain costs, the maintenance of its IT Infrastructure, the sale and distribution of its products and the retention of its personnel.
NCR’s general and administrative costs are its most significant, amounting to just over $1 billion in 2015. These costs comprise the payment of salaries and benefits to the Company’s 32,600 employees, and payment of rent and utilities across its multiple sales and administrative offices. Research and development costs in 2015 amounted to $230 million.
Revenue Streams
NCR generates revenue through the sale of various products and services that assist businesses in transacting with customers, across its four operating segments: The Company’s revenue streams can be broadly categorised as follows:
- ATMs and Other Financial Products, including the sale of ATMs, cash dispensers, software solutions, and customer-facing digital banking services, in addition to the provision of professional services related to ATM security, software and bank branch optimisation;
- Point of Sale, including the sale of point of sale terminals and point of sale software, bar-code scanners and other retail-oriented software;
- Self-service Kiosks, comprising the sale of self-service kiosk and related software products;
- Cheque and Document Imaging, comprising end-to-end solutions for traditional paper-based and image-based cheque and document processing;
- Consumables, comprising the sale of printer consumables, such as paper rolls, ink ribbons and labels; and
- Services, including the provision of maintenance and support services, as well as installation and implementation solutions. According to its annual report, in recent years, NCR’s has shifted its focus increasingly towards the sale of higher margin software and cloud solutions, and professional services.
In 2015 NCR generated a total annual revenue of $6.37 billion, down 3% on the $6.59 billion recorded in 2014. NCR’s Financial Services segment is its largest revenue generator, accounting for $3.32 billion of the Company’s 2015 revenue. Retail Solutions generated $2 billion, with Hospitality and Emerging Industries accounting for the remainder.


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Father, 26, who lost his right hand and both of his legs to meningitis as a child will get a bionic arm just in time for Christmas to help him look after his baby
by Vanessa Chalmers Health Reporter For Mailonline- Danny Florence has lived without his hand and both legs since he was five
- After the birth of his son Joshua, he realised he was missing out on caring for him
- He started fundraising £10,000 for an OpenBionics Hero Arm
- But he has been sponsored and will receive the arm this month
A father who lost both legs and his right hand when he was a child will at last get a bionic hand to help care for his baby.
Danny Florence, from Durham, decided to try and raise funds for the mechanical limb earlier this year after becoming a first-time father.
He has spent most of his life without his hand, after surviving his bout of meningitis when he was just five years old.
But he felt he was missing out after the arrival of his son Joshua, with the 26-year-old being unable to bathe and dress him or change his nappy.
Mr Florence raised a third of the £10,000 money needed for the bionic arm when manufacturers offered to sponsor him.
The bank worker, who relies on prosthetic legs and an electric wheelchair, will have an Open Bionics Hero Arm fitted this month, just in time for Christmas.
The 3D arm is controlled by his own muscles, making it the most realistic prosthetic he can get.
Mr Florence said: 'I've always managed well with only one hand but when my son Joshua came along ago, I realised how much more I could do with two.
'I've never changed his nappy. Some people have asked "why would you want that?"
'But as a dad you want to do everything. I can't do things like dress him. Even on myself, I struggle with buttons and stuff.
'I'm incredibly excited. It's going to make a massive difference in my life, and hopefully Joshua's as well.'
Mr Florence was five when he contracted the meningitis, which quickly turned into septicaemia.
The condition causes bacteria to enter the bloodstream and multiply, damaging the walls of the blood vessels. This can reduce blood flow to major organs.
It can lead to organ failure, skin and tissue damage and the loss of limbs.
Mr Florence lost his right hand, three of the fingers on his left hand and both of his lower legs. But he said he learnt to cope.
He said: 'The only thing I had in terms of a prosthetic for my arm was a hand that did nothing. It was like a mannequin hand.
'It was just an aesthetic thing to be honest but it looked worse, it was not pleasant to look at.
'This was when I was about 11-years-old. I literally wore it for a week.'
Mr Florence and his partner Danielle Lilley, had anticipated issues with dexterous tasks such as nappy changing and getting their baby dressed.
But they had not realised how much not doing these things would affect the bond with his son, who celebrates his first birthday on December 11.
The couple feared Ms Lilley would have to quit her job to care for Joshua full-time because Mr Florence was unable to be alone with him.
Mr Florence relies on prosthetic legs, an electric wheelchair and help from friends and family to get about.
But he is hoping the new hand will help him take a more active role at home.
He came across Open Bionics, based in Bristol, while researching online and knew the Hero Arm would change his life 'immeasurably'.
The Hero Arm contains electrodes which detect tiny electrical signals from the user's muscles. These signals activate movements in the prosthetic.
It allows users to do everyday tasks such as brushing their hair, holding cutlery or pouring water from a kettle.
Mr Florence launched a £10,000 GoFundMe appeal to be able to buy a bionic hand.
But then, Maxon, which works with Open Bionics on the prosthetic, agreed to sponsor him.
The Atom Bank worker had a socket fitting in November and is due to get the new hand next week. He is hoping it will be quick to adjust to.
Mr Florence said: 'He [Joshua] loves my prosthetic legs, he gets all excited and laughs when I put them on and likes to touch them.
'These days prosthetic designs look much better and all my nieces and nephews think I'm bionic.'
Despite not having used the muscles for 21 years, Mr Florence was amazed when he could use the hand at his first fitting.
He is now hoping to raise more awareness about the prosthesis, which he thinks should be available on the NHS.
The Hero Arm is only available privately at the moment, but Open Bionics say they are in close talks with NHS bosses to see if it will be funded in the future.
Mr Florence said: 'This technology should be offered to everyone. This is life-changing, not only for the obvious physical side but mentally as well.
'People who lose limbs can get very depressed, struggling with the ongoing pain and mourning the life they had before. They can even contemplate suicide.
'This hand has such huge benefits, it should be available on the NHS and I want to help the cause to make that happen.'
He added: 'I'd like to say thank you to Maxon as well as everyone who raised money. We had a huge amount of people come forward to help and all that money will be used to for the maintenance of the hand.'
HOW DOES THE HERO ARM WORK?
Open Bionics designs and manufactures the prosthetic limb, which uses an actuator, designed by Maxon.
An actuator is a mechanical device that can turn energy into movement. It helps wearers move each finger.
As muscles generate electrical signals when they contract, they create movement when connected to the electrodes in the prosthetic.
Each Hero Arm is custom-built using 3D printing and 3D scanning technologies, so that it fits the user perfectly.
It has six grip types, such as fist, hook, pinch and tripod, to allow for versatility. It is battery powered.
The companies 'Hero Arm' claims to be less than half the price of its nearest competitor, and can be fitted for amputees as young as nine years old.
The cost of the 3D bionic arms varies according to individual clinics.
But a spokeswoman for Open Bionics said they are 'vastly cheaper' than existing advanced alternatives that cost between £20,000 and £60,000 for one hand.


One thing I found interesting is that emotional intelligence is able to be learned and it can help create the conditions for happiness. In order to train emotional intelligence you start with training attention. This is because by having a “strong, stable, and perceptive attention” it can help provide a sense of calmness and clarity. You will be able to look at things objectively and pause before you act.
To my surprise, when I did the two minutes of mindfulness I was able to have times when I felt calm. There was still many times when my thoughts drifted but I didn’t feel as anxious when this happened. I have found that the Headspace app has really been helping me with mindfulness. When I started using this app I had a thousand thoughts and my mind went elsewhere. I was thinking of all the different things I needed to get done and I found that I got quite restless. However, I have since learned that mindfulness is not about stopping thoughts but about viewing them with more perspective.


Tracking Your Cargo
The public tracking interface allows you to track your cargo and receive information such as current status, estimated time of arrival and detailed handling history.
The interface does not require a login but you are expected to know your registered tracking ID - please contact your booking agent if you do not know your tracking ID. You should also contact your booking agent to make any modifications to your cargo such as a change in destination, a correction, etc or if your cargo is misdirected, delayed or held at customs.
Visit https://github.com/eclipse-ee4j/cargotracker/ for more information.


Quickly filter, understand, and test the opportunities and teams’ ability to execute.
Product, Simplicity, and Value Sciences applied from discovery to prototype to revenue.
Continuous and automated feedback loop built into the team, the product, and the business.
Investor-ready organization and actionable packaging for proven founder + opportunity combinations.
Removing cost, time, and complexity of disruption, whether from scratch or from within existing paradigms.


Sahil Loomba
Department of Connectomics
Max Planck Institute for Brain Research
Friday Seminar 1.03.2019
Brain mass and total number of neurons [1]
[1] Adapted from "The human brain in numbers: a linearly scaled-up primate brain", S Herculano-Houzel - Frontiers in human neuroscience 2009
Comparison of brain sizes and white matter densities
Bigger is better
Instruction vs Selection
Macro and Micro scale connectomics
Marmoset
Macaque
W Denk, H Horstmann, Serial Block-Face Scanning Electron Microscopy to Reconstruct Three-Dimensional Tissue Nanostructure. PLOS Biology 2004
Coarse alignment with SURF features
Sub-image alignment
"SURF: Speeded Up Robust Features", Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc Van Gool. Computer Vision and Image Understanding (CVIU), Vol. 110, No. 3, pp. 346–359, 2008
Work with Jakob Straehle
Coarse alignment with SURF features
Sub-image alignment
Work with Jakob Straehle
Human L4 MTL *1977 110x130x100 um3 Jakob Straehle
Macaque L4 *7years 180x170x150 um3 Jakob Straehle
Mouse L4 S1 P28 61x94x92 um3 Kevin Boergens
Rat L4 S1 P28 88x68x118 um3 Roman Kostal
Female *1977 Encephalitis
Acquired by Jakob Straehle in collaboration with
H.S. Meyer TU München
dataset size: 110x130x100um3
voxel size: 11.24x11.24x28 nm3
The brain tissue sample was taken with full patient consent and with approval of the Ethics committee of the Technical University Clinic Munich (Ethikvotum 184/16S)
Macaque L4 *7years old
Acquired by Jakob Straehle in collaboration with
C Mätz-Rensing DPZ Göttingen
dataset size: 180x170x150 um3
voxel size: 11.24x11.24x30 nm3
224x176x100 um3
Pyramidal Cells
Interneurons
Stellate cell
Unclassified
100um
Cell classification in Macaque dataset
Work with Jakob Straehle
100um
Skeleton recontructions without segmentation overlay
Work with student annotators
Dense connectomic reconstruction in layer 4 of the somatosensory cortex, bioRxiv 2018 (under review at Nature). Motta, Manuel Berning, Kevin M. Boergens, Benedikt Staffler, Marcel Beining, Sahil Loomba, Christian Schramm, Philipp Hennig, Heiko Wissler, Moritz Helmstaedter
Moritz Helmstaedter
Jakob Straehle Benedikt Staffler Alessandro Motta Manuel Berning
Anjali Gour Martin Schmidt Ali Karimi Meike Schurr Florian Drawitsch Abdelrahman Khalifa
connectomics department
SBEM datasets along evolutionary axis undergoing analysis


Window Menu actions
| Name | Function | Keyboard Shortcut |
|---|---|---|
| New Window | Opens a new Workbench window | |
| New Editor | Opens a new copy of the active editor | |
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| Show View (submenu) | Displays a view in the current perspective (The contents and order of entries in the submenu are dependent on the current perspective. The Other... entry allows you to open any view.) | |
| Customize Perspective... | Alters the visibility of various elements of the current perspective | |
| Save Perspective As... | Saves the current perspective under a new name (It can then be accessed through the Open Perspective > Other... dialog.) | |
| Reset Perspective | Removes any customizations created by Customize Perspective... | |
| Close Perspective | Closes the active perspective | |
| Close All Perspectives | Closes all the open perspectives, which also closes all the Editors and Views | |
| Navigation | Navigates between views, perspectives, and editors in the following ways: | |
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Alt+(hyphen) | |
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Ctrl-F10 | |
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Ctrl+M | |
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F12 | |
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Ctrl+F6 | |
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Ctrl+Shift+E | |
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Ctrl+F7 | |
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Ctrl+F8 | |
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Ctrl+Shift+F8 | |
| Preferences | Opens the Preferences dialog, where workspace-wide preferences can be set (The C/C++ Page Preference Window section documents the C/C++-specific preferences.) |


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1986
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Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
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medium
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very high


A CHINESE GHOST STORY A film review by Jeff Meyer Copyright 1988 Jeff Meyer
See at the Seattle Film Festival: A CHINESE GHOST STORY (Hong Kong, 1987) Director: Ching Siu-Tung Screenwriter: Yuen Kai Chi Cast: Leslie Cheung, Wong Tsu Tsien, Wo Ma
I've been trying to figure out how to describe the sheer fun I had at this film. I haven't seen anything that mixed this many genres and kept me this hooked since ALIENS; I hear the VILLAGE VOICE said it "combined the best elements of THE PRINCESS BRIDE and EVIL DEAD II," and recommended that no amphetamines be taken before viewing it. This is a *wise move*.  It also combines romance, horror, adventure, martial arts, comedy and satire and does each one well. I think you'll have the time of your life there, frankly; this is BUCKAROO BANZAI-style genre-mixing, if you know what I mean and I know you do.
Well, what we got? We got a foolish young tax collector whose in bad with the local yokels and decides to spend the night at a haunted shrine. We have a beautiful young thing he falls in love with but who has a terrible secret. We got a bad-ass old samurai who's sharing the shrine with the lad; he bounces off of trees, fires rays from his hands, does a rap number right in the middle of the film, and gets to say the kind of great things that Warren Oates always got to say in his films.  Ho-boy! This is my kind of neighborhood!
Damndest thing is, it works great as a love story, as a folk tale, and as an adventure. The plot and the samurai add a real tongue-in-cheek feeling to the works, and the martial arts sequences takes those leaping-forty-feet-in- the-air sequences you see on Channel 61's Hong Kong Theater every Sunday morning and jacks them up about 400%. I really got to caring about whether the lad and the sweet young thing were going to make it. This is great stuff! Good photography, though on a budget, and a lot of the sub-titles are misspelled, but that kinda adds to the flavor. (first sub-titled film I've been to where you'd hear people asking "*What* did he say?")
This may well be out on video by now; if so, get a load of people, some dim sum and watch it at midnight. You'll be glad you did.
Rating: Faded if not seen on a weekend night. However, worth every penny of $5 if seen at midnight movie, preferably with cronies and munchies. Wouldn't be bad on video, either. Leave the diet pills *at home*.
Moriarty, aka Jeff Meyer INTERNET<EMAIL_ADDRESS>Manual UUCP: {uw-beaver, sun, microsoft}!fluke!moriarty
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Courage,the Cowardly Dog
Hi, I am Courage. I love my master.
Some of my favourite things to do:
having breakfast in kitchen
protecting Muriel my master
Sleeping..
Make sure to look for some more pictures of my on
Google Images