Jeffery L. Coffer, Ph.D.
Professor and Chair
Department of Chemistry
ABSTRACT: With a long–term interest in multifunctional
semiconducting nanostructures relevant to biomaterials, we seek to successfully
construct rapidly-adaptive platforms based on electrically-responsive,
mechanically-robust tunable artificial nanostructures that are not only
biocompatible, but furthermore bioactive, and whose activity can be altered not
only by physical dimension and chemical composition but external stimuli as
well. Recent focus has entailed studies of the bottom up synthesis of elemental
silicon dots and wires, top down fabrication of spongy porous Si structures,
and fundamental studies of surface modification and diffusion from these
matrices. Incorporation of the proper inorganic component to the nanostructures
brings mechanical strength and semiconductive character; Porosity allows for the
release of therapeutic release of useful substances from the material, as well
as proper vasculature & neural in-growth to the scaffold; in some cases,
composite formulation with biopolymers brings tunability to the structure in
terms of biodegradability. This presentation will provide examples from the
above categories, with discussion of material fabrication requirements,
structural characterization, and bio-relevant properties.
BIOGRAPHY: Jeff Coffer, a native of South Carolina, earned his B.S.
degree in Chemistry from Wofford College (SC) in 1982, a Ph.D. in inorganic
chemistry from the University of Wisconsin in 1987, and from 1987-1989 Dr.
Coffer was a postdoctoral fellow at the School of Chemical Sciences and
Materials Research Laboratory of the University of Illinois, Urbana-Champaign
. He joined the faculty of
**********************************************************************
Alan Weiner,
Ph.D.
Senior
Director, Development
Alcon
Research Ltd.
ABSTRACT: There
are a wide range of biomaterials that have been either commercialized or
studied in the human eye. Approved
devices for use or implantation in the eye include contact lenses, intraocular
lenses, scleral buckles and balloons, artificial prosthetics (i.e., whole or
partial eye), punctal plugs, intravitreal slow release devices, glaucoma
filtration shunts, scleral expanders, vitreous tamponades, viscoelastics,
ocular surface inserts and artificial cornea.
This broad historical experience with surgical procedures for correcting
disorders and diseases of the eye has fostered an extensive understanding of
biomaterial compatibility with ocular tissues.
An extension of this knowledge is increasingly being bridged with the
need to deliver therapeutic agents from such devices. For ocular therapy, potential
administration routes for drug delivery devices include topical, punctal,
subconjunctival, intravitreal, juxtascleral, intrascleral and subretinal as
well as parenteral administration, including oral. Engineering of these devices is dependant on
a) whether the need is for therapy of acute or chronic disease, b) the size or
volume allowable within the chosen tissue and c) drug diffusion or distribution
from the particular implant site to the site of action. Most challenging have been systems which
treat chronic diseases such as macular degeneration and neovascularization,
glaucoma, diabetic retinopathies, edema, and dry eye syndromes. For these applications ocular system designs
typically involve either reservoir or matrix drug delivery mechanisms. Reservoir systems generally provide more precise
rate control but often involve more complex surgical procedures for
implantation and removal. Erodible
matrix systems are usually dependant on more than one factor for rate control
(i.e. drug dissolution, drug release and polymer/excipient erosion) and may be
subject to restrictions of total drug loading.
This presentation will examine
the range of biomaterial systems, either marketed, in clinical trials, or in
preclinical experimental models, that facilitate drug delivery to ocular
tissues. The physiological challenges to
device retention and maintenance of effective drug delivery will be reviewed.
BIOGRAPHY: Dr. Alan Weiner is currently Senior
Director, Development at Alcon Research, Ltd. and is in charge of the groups
that develop the research formulations and dosage forms for Alcon’s
pharmaceutical and surgical therapeutic products, including drug delivery
systems. He has previously served there
as Senior Director Glaucoma Clinical Science, and as Director, Scientific Affairs and Market Development,
Glaucoma. Before
joining Alcon 10 years ago, Dr. Weiner was a founding scientist of two drug
delivery based companies - Escalon Ophthalmics and The Liposome Company, now
part of Elan Pharmaceuticals. Dr. Weiner
received his Ph.D. in Biochemistry from
**********************************************************************
Confocal Total
Internal Reflection Microscopy:
A Novel Technique
of Investigating Single Molecules in Tissue
Julian Borejdo,1
J. Talent,1
1Dept of Molecular Biology & Immunology
2Dept of Biochemistry
Mayo Clinic
ABSTRACT: Proteins in cells are present in micromolar concentrations. Observing kinetics of single protein molecules in vivo requires therefore that signal be collected from attoliter (10-18L) volume. Confocal Total Internal Reflection provides a way to obtain such data with high Signal-to-Noise. In this method, the observational volume is made shallow by illuminating sample with evanescent field produced by total internal reflection of the incident laser beam. A confocal aperture inserted in the image plane of the objective guarantees the small lateral dimensions of the observational volume. It is shown, by measuring diffusion of fluorescent microspheres, that the evanescent field is ~110 nm deep. 3.5 μm confocal aperture gives lateral dimensions of 120 nm x 120 nm, i.e. the observational volume of 1.5 attoL. The technique was applied to measuring kinetics of single myosin molecule in muscle fiber. Association-dissociation of myosin head was probed with rhodamine attached at Cys707 of the heavy chain of myosin, and the power stroke was probed with rhodamine attached to Cys73 of genetically engineered regulatory light chain exchanged into muscle. Fluorescence measured from the myofibrillar A-band was contributed by ~1-20 rhodamine molecules. Fluorescence decayed in a series of discrete steps, corresponding to bleaching of individual molecules of rhodamine. Signal was compared from myofibril in rigor and during isometric contraction. Shortening of myofibrils was prevented by light cross-linking with 1-ethyl-3-[3-dimethylamino)-propyl]-carbodiimide. Cross-bridge labeled at the head rotated at the rate approximately equal to the ATPase. Cross-bridge labeled at the lever arm rotated slower than the ATPase rate. These results suggest that during contraction of muscle fibers, hydrolysis of one ATP molecule does not always lead to a power stroke.
BIOGRAPHY: Julian Borejdo earned the B.A. and Ph.D.
degrees in Mathematics and Physics from
**********************************************************************
Holographic
Visualization of 3D Data for Medical Applications
Harold R. “Skip” Garner, Jr., Ph.D.,
Bala Munjuluri, and Michael L. Huebschman
UT Southwestern
ABSTRACT: The display
of dynamic color holographic images is possible by computing the hologram of
objects in a three-dimensional scene and then transcribing the two-dimensional
digital hologram onto a digital micromirror system illuminated with coherent
light. Two proof-of-principle
instruments have been developed which, respectively, reconstruct real and virtual
images. This new, truly holographic 3-D
viewing system has a broad range of applications, including heads-up displays,
video games, television and workstations for medical applications – sonograms,
MRI, etc. This system can display any
3-D data, real or computationally synthesized, and can update the hologram of
moving objects in near-real time using new algorithms developed especially for
the display. The underlying process,
its characteristics, limitations and utility will be discussed. This technology forms the basis for a
potential new company, with the working name, Holomedix, that is focused on the
medical display applications market. Additional
information can be found on the www at http://innovation.swmed.edu and
in the following references:
1. Bala Munjuluri, Michael L. Huebschman, and Harold R. Garner, Rapid Hologram Updates for Real Time Volumetric Information Display, in press, Applied Optics
2.
Michael L. Huebschman, Bala Munjuluria, Jeremy Hunt, Harold R. Garner, Holographic
video display using digital micromirrors, in press, SPIE
3.
Michael L. Huebschman, Bala Munjuluri and
Harold R. Garner, Dynamic Holographic 3-D Image Projection, Optics Express,
Vol. 11, No. 5, 437-445, March 2003.
BIOGRAPHY: Skip received
his BS in Nuclear Engineering at the
Skip worked for 12 years at General
Atomics in
Skip currently holds the P. O’B. Montgomery,
M.D., Distinguished Chair, is a Professor of Biochemistry and Internal
Medicine, at UT Southwestern Medical Center.
He sits on numerous corporate advisory boards, advises for numerous
governmental agencies and has 15 issued patents.
**********************************************************************
Tag-free Biosensors with Resonant Photonic Lattices
Debra Wawro, P.S. Priambodo, and Robert Magnusson
Resonant Sensors Incorporated
ABSTRACT: A new photonic sensor concept is presented for detection of biological and chemical agents. The heart of the sensor is a periodic dielectric waveguide in which resonant leaky modes are excited by an incident optical wave. Biochemical reactions occurring at the sensor’s surface cause changes in the reflection spectra (amplitude and phase) that are measured to identify the binding event without chemical tags. Numerous computed examples and experimental results illustrate key sensor properties and define promising paths for establishing useful sensor technology based on these ideas. The technology has broad applicability including homeland security, environmental and industrial monitoring and pharmaceutical drug development.
BIOGRAPHY: Debra Wawro
is founder and CEO of Resonant Sensors Incorporated, a newly formed optical
sensor company from the Arlington Technology Incubator at the
**********************************************************************
Exploring Microgravity Bioreactors for Pancreatic Islet Cell Transplantation
Lynne P. Rutzky, Ph.D.
Associate Professor of Surgery
Division of Immunology and Organ
Transplantation
University of
ABTSRACT: Type I insulin dependent diabetes mellitus
remains a major cause of morbidity and mortality and therapy with exogenous
insulin only delays onset and severity of end organ complications, such as
kidney disease and vascular and peripheral nerve damage. While whole organ pancreas
transplant is a serious surgical risk, islet cell transplantation is cost
effective and less invasive procedure, which may help prevent future disease
complications. Recently, Shapiro’s (2000) steroid-free
BIOGRAPHY: Lynne P. Rutzky, Ph.D. is Associate Professor
of Surgery at The University of Texas Health Science Center-Houston Medical
School, Department of Surgery, Division of Immunology and Organ
Transplantation. Dr. Rutzky received a B.S. degree from The University of
Wisconsin-Madison and M.S. and Ph.D. degrees in Medical Microbiology from the
**********************************************************************
J. Lester Matthews, Ph.D.
President
MicroBioMed Corporation
ABSTRACT: Several photochemicals have been evaluated for potential use in bonding and/or cross-linking of animal structural proteins to achieve tissue repair; for fabrication of tissue prostheses; or for anchoring of chemicals for control delivery at select tissue sites. A major criterion in our selection was the excitation wavelength of light required to activate the bonding process. Several UV excited photochemicals show bonding properties but we elected to use visible light excited species in order to minimize the effect of direct irradiation of tissue with UV. The class of photochemicals selected for complete evaluation are aqueous based naphthalimides that exhibit low tissue toxicity and are excited by light in the blue visible range. Naphthalimides can also be attached to other chemicals using dark chemistry preserving the light response property of the naphthalimide for subsequent use in tissue bonding. Naphthalimides can be used in conjunction with various filler materials to improve adhesive properties with uneven surfaces, tissue defects, and to improve the gap spanning potential with minimal applied compression. The addition of fillers either attached to naphthalimide or free in suspension with naphthalimide have demonstrated greater efficiency in tissue bonding in either a tissue overlapped or tissue abutted mode. Filler material may include polysaccharides (i.e. chitosan, etc.), proteins (i.e. collagen, fibrin/thrombin,etc.), or potentially other synthetic or biomaterials. Several advantages to using chitosan-based naphthalamide formulations have been demonstrated. First, overall tissue bond strengths have been improved, both in a collagenous pericardial model as well as in the adherence of a pericardial patch to the adventitial layer of a torn arterial wall. Light exposure of the chitosan-bradsyl-naphthalimide prior to application of the formulation to tissue has yielded bond strengths of 518 160 g/cm2 enabling significant tissue bonding without requiring direct trans-illumination of the tissue. Second, hemostasis is readily achieved. Alternatively, naphthalimide derivatives in the dimer form demonstrate bond strengths of 1.8 kg/cm2 when irradiated within the tissue. Cell culture data demonstrates that the chitosan-based naphthalimide adhesive has an excellent biocompatibility profile and short term studies in tissues show little or no inflammation. Long term studies of the naphthalimide dimers in repaired sheep meniscus show no pathologic tissue response or toxicity for two years duration, all treated animals functioning normally following repair.
Our naphthalimide formulations have now been tested in a variety of tissues and potential clinical applications including: repair of torn meniscal tissue in the knee, stabilization of injected particles of collagen to treat incontinence, bonding of torn dura, delivery of drugs in local tissue sites such as anti-restenotic agents to coronary artery tissues, repair of corneal tear, bonding of synthetic materials such as nylon sheets to tissue, fabrication of artificial vessels using collagen sheets, anchoring of sunscreen materials to outer skin cells, repair of rabbit aorta capable of withstanding 1,200mm Hg perfusion pressure. The formulations work well with natural and synthetic films of collagen composition providing a means of obtaining marginal seals and elimination of the need for sutures. We are presently focused on two applications for ultimate evaluation by regulatory agencies of this new device formulation and seek partners for other activity.
BIOGRAPHY: Dr.
Matthews completed his B.S. and M.S. degrees in Biology at the


Tools for economic analysis and economic modelling with a Constant Elasticity of Substitution (CES) function
| Version: | 0.9-8 |
| Depends: | R (≥ 2.4.0), minpack.lm (≥ 1.1-4), DEoptim (≥ 2.0-4) |
| Imports: | systemfit (≥ 1.0-0), car (≥ 2.0-0), micEcon (≥ 0.6-1), miscTools (≥ 0.6-1) |
| Suggests: | maxLik (≥ 0.8-0), xtable (≥ 1.5-6), AER (≥ 1.1-9) |
| Published: | 2014-04-23 |
| Author: | Arne Henningsen and Geraldine Henningsen |
| Maintainer: | Arne Henningsen <arne.henningsen at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.micEcon.org |
| NeedsCompilation: | no |
| Citation: | micEconCES citation info |
| Materials: | NEWS |
| In views: | Econometrics |
| CRAN checks: | micEconCES results |
| Reference manual: | micEconCES.pdf |
| Vignettes: |
Estimating the CES Function in R: Package micEconCES |
| Package source: | micEconCES_0.9-8.tar.gz |
| Windows binaries: | r-devel: micEconCES_0.9-8.zip, r-release: micEconCES_0.9-8.zip, r-oldrel: micEconCES_0.9-8.zip |
| OS X binaries: | r-release: micEconCES_0.9-8.tgz, r-oldrel: micEconCES_0.9-8.tgz |
| Old sources: | micEconCES archive |
Please use the canonical form https://CRAN.R-project.org/package=micEconCES to link to this page.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Fillet steak served the classic French way – topped with melted herb butter.
For the spiced herb butter, place all the ingredients in a large food processor and blend until smooth. Lay a piece of aluminium foil on the work surface and lay the blended butter in a line along the foil. Roll the butter in the foil into a cylinder, tighten at both ends and place in the fridge to set.
For the fondant potatoes, trim both ends of the potatoes and use a peeler to shape them into a barrel shape. Heat a large frying pan and add the butter. Once melted, add the potatoes and fry until golden-brown.
Add the chicken stock and cook for 20-30 minutes until soft, but not falling apart - they need to hold together.
To make the glazed vegetables, place the carrots, sugar, chicken stock and butter in a saucepan over a medium heat and cook for 10 minutes. Remove from the heat and set aside.
Meanwhile, place a small saucepan on the heat and add water. Once boiling, add the sugar snaps. Cook for 4-5 minutes, drain and refresh in cold water before setting aside.
For the steak, place a large frying pan over a high heat. Once hot, add the oil and then cook the steak for two minutes on each side, or until cooked to your liking. Place a slice of the spiced herb butter on top of the steaks and place under the grill for 1-2 minutes, or until the butter has melted.
To serve, place a frying pan over a medium heat and add a little of the carrot cooking liquor. Add the carrots and sugar snap peas and cook for a couple of minutes, or until hot.
Place the vegetables at one side of each plate and a fondant potato at the opposite side. Place the steak in the middle and serve immediately.


Get Docker Engine - Enterprise for Ubuntu
Estimated reading time: 9 minutesTo get started with Docker Engine - Enterprise on Ubuntu, make sure you meet the prerequisites, then install Docker.
Prerequisites
Docker Engine - Community users should go to Get Docker Engine - Community for Ubuntu instead of this topic.
To install Docker Engine - Enterprise, you need to know the Docker Engine - Enterprise repository URL associated with your trial or subscription. These instructions work for Docker on Ubuntu and for Docker on Linux, which includes access to Docker Engine - Enterprise for all Linux distributions. To get this information, do the following:
- Go to https://hub.docker.com/my-content.
- Each subscription or trial you have access to is listed. Click the Setup button for Docker Enterprise Edition for Ubuntu.
- Copy the URL from the field labeled Copy and paste this URL to download your Edition.
Use this URL when you see the placeholder text <DOCKER-EE-URL>
.
To learn more about Docker Enterprise, see Docker Enterprise Edition.
OS requirements
To learn more about software requirements and supported storage drivers, check the compatibility matrix.
Note: IBM Z (
s390x
) is supported for Docker Engine - Enterprise 17.06.xx only.
Uninstall old versions
Older versions of Docker were called docker
or docker-engine
. In addition,
if you are upgrading from Docker Engine - Community to Docker Engine -
Enterprise, remove the Docker Engine - Community package.
$ sudo apt-get remove docker docker-engine docker-ce docker-ce-cli docker.io
It’s OK if apt-get
reports that none of these packages are installed.
The contents of /var/lib/docker/
, including images, containers, volumes, and
networks, are preserved. The Docker Engine - Enterprise package is now called
docker-ee
.
Extra steps for aufs
For Ubuntu 16.04 and higher, the Linux kernel includes support for overlay2,
and Docker Engine - Enterprise uses it as the default storage driver. If you
need to use aufs
instead, you need to configure it manually.
See aufs.
Install Docker Engine - Enterprise
You can install Docker Engine - Enterprise in different ways, depending on your needs.
-
Most users set up Docker’s repositories and install from them, for ease of installation and upgrade tasks. This is the recommended approach.
-
Some users download the DEB package and install it manually and manage upgrades completely manually. This is useful in situations such as installing Docker on air-gapped systems with no access to the internet.
Install using the repository
Before you install Docker Engine - Enterprise for the first time on a new host machine, you need to set up the Docker repository. Afterward, you can install and update Docker Engine - Enterprise from the repository.
Set up the repository
-
Update the
apt
package index.$ sudo apt-get update
-
Install packages to allow
apt
to use a repository over HTTPS.$ sudo apt-get install \ apt-transport-https \ ca-certificates \ curl \ software-properties-common
-
Temporarily add a
$DOCKER_EE_URL
variable into your environment. This only persists until you log out of the session. Replace<DOCKER-EE-URL>
with the URL you noted down in the prerequisites.$ DOCKER_EE_URL="<DOCKER-EE-URL>"
-
Temporarily add a
$DOCKER_EE_VERSION
variable into your environment.Note: If you need to run Docker Enterprise 2.0, please see the following instructions:
$ DOCKER_EE_VERSION=19.03
-
Add Docker’s official GPG key using your customer Docker Engine - Enterprise repository URL.
$ curl -fsSL "${DOCKER_EE_URL}/ubuntu/gpg" | sudo apt-key add -
Verify that you now have the key with the fingerprint
DD91 1E99 5A64 A202 E859 07D6 BC14 F10B 6D08 5F96
, by searching for the last eight characters of the fingerprint. Use the command as-is. It works because of the variable you set earlier.$ sudo apt-key fingerprint 6D085F96 pub 4096R/0EBFCD88 2017-02-22 Key fingerprint = DD91 1E99 5A64 A202 E859 07D6 BC14 F10B 6D08 5F96 uid Docker Release (EE deb<EMAIL_ADDRESS>sub 4096R/6D085F96 2017-02-22
-
Use the following command to set up the stable repository. Use the command as-is. It works because of the variable you set earlier.
Note: The
lsb_release -cs
sub-command below returns the name of your Ubuntu distribution, such asxenial
.$ sudo add-apt-repository \ "deb [arch=$(dpkg --print-architecture)] $DOCKER_EE_URL/ubuntu \ $(lsb_release -cs) \ stable-$DOCKER_EE_VERSION"
Install Docker Engine - Enterprise
-
Update the
apt
package index.$ sudo apt-get update
-
Install the latest version of Docker Engine - Enterprise, or go to the next step to install a specific version. Any existing installation of Docker is replaced.
Use this command to install the latest version of Docker Engine - Enterprise and containerd:
$ sudo apt-get install docker-ee docker-ee-cli containerd.io
Warning: If you have multiple Docker repositories enabled, installing or updating without specifying a version in the
apt-get install
orapt-get update
command always installs the highest possible version, which may not be appropriate for your stability needs. -
On production systems, you should install a specific version of Docker Engine - Enterprise instead of always using the latest. This output is truncated. List the available versions.
$ apt-cache madison docker-ee docker-ee | 19.03.0~ee-0~ubuntu-xenial | <DOCKER-EE-URL>/ubuntu xenial/stable amd64 Packages
The contents of the list depend upon which repositories are enabled, and are specific to your version of Ubuntu (indicated by the
xenial
suffix on the version, in this example). Choose a specific version to install. The second column is the version string. The third column is the repository name, which indicates which repository the package is from and by extension its stability level. To install a specific version, append the version string to the package name and separate them by an equals sign (=
).$ sudo apt-get install docker-ee=<VERSION_STRING> docker-ee-cli=<VERSION_STRING> containerd.io
The Docker daemon starts automatically.
-
Verify that Docker is installed correctly by running the
hello-world
image.$ sudo docker run hello-world
This command downloads a test image and runs it in a container. When the container runs, it prints an informational message and exits.
Docker Engine - Enterprise is installed and running. The docker
group is
created but no users are added to it. You need to use sudo
to run Docker
commands. Continue to Linux postinstall
to allow non-privileged users to run Docker commands and for other optional
configuration steps.
Upgrade Docker Engine - Enterprise
To upgrade Docker Engine - Enterprise, follow the steps below:
-
If upgrading to a new major Docker Engine - Enterprise version (such as when going from Docker 18.03.x to Docker 18.09.x), add the new repository.
-
Run
sudo apt-get update
. -
Follow the installation instructions, choosing the new version you want to install.
Install from a package
If you cannot use Docker’s repository to install Docker Engine - Enterprise, you
can download the .deb
files for your release and install them manually. You
need to download a new file or set of files each time you want to upgrade Docker
Engine - Enterprise.
-
Go to the Docker Engine - Enterprise repository URL associated with your trial or subscription in your browser. Go to
ubuntu/dists/<distribution>/pool/stable-<VERSION>
and download the.deb
file(s) for the Docker Engine - Enterprise version and architecture you want to install.Note: Starting with 19.03, you have to download three
.deb
files. They aredocker-ee-cli_<version>.deb
,containerd.io_<version>.deb
, anddocker-ee_<version>.deb
. -
Install Docker, changing the path below to the path where you downloaded the Docker Engine - Enterprise package.
$ sudo dpkg -i /path/to/package.deb
Or, if you downloaded the three
.deb
files, you must install them in the following order:$ sudo dpkg -i /path/to/docker-ee-cli_<version>.deb $ sudo dpkg -i /path/to/containerd.io_<version>.deb $ sudo dpkg -i /path/to/docker-ee_<version>.deb
The Docker daemon starts automatically.
-
Verify that Docker is installed correctly by running the
hello-world
image.$ sudo docker run hello-world
This command downloads a test image and runs it in a container. When the container runs, it prints an informational message and exits.
Docker Engine - Enterprise is installed and running. The docker
group is
created but no users are added to it. You need to use sudo
to run Docker
commands. Continue to Post-installation steps for Linux
to allow non-privileged users to run Docker commands and for other optional
configuration steps.
Upgrade Docker Engine - Enterprise
To upgrade Docker Engine - Enterprise, download the newer package file and repeat the installation procedure, pointing to the new file.
Uninstall Docker Engine - Enterprise
-
Uninstall the Docker Engine - Enterprise package.
$ sudo apt-get purge docker-ee
-
Images, containers, volumes, or customized configuration files on your host are not automatically removed. To delete all images, containers, and volumes.
$ sudo rm -rf /var/lib/docker
You must delete any edited configuration files manually.
Next steps
- Continue to Post-installation steps for Linux.
- Continue with the User Guide.


For a while now, I've been wanting to keep various parts of my home directory in sync.
At first, I created a git repository for storing my dotfiles but I found it a pain to keep the repository up-to-date.
Fairly recently, someone pointed out git-annex to me. After a good read of the documentation, it sounded like it could be useful but probably more than I needed and perhaps not quite what I really wanted. Besides, I couldn't get the bloody thing to install.
So I did what any geek would do, I wrote my own :D
See git-aux (or AUR if you're on Arch Linux).
Basically, I wanted an easy to way to keep a git repository in sync with an directory external to it. With git aux installed, I get pretty much exactly what I wanted with a few simple commands.
After creating a new git repository, I do git aux init ~/
to tell git-aux that I want it to sync this repo with my home directory.
I then do git aux add ~/.vimrc ~/.ssh/config ~/.bashrc
and any other files I want from my home directory. This copies those files into the repository and I can then commit them in the usual way.
If I make changes in my home directory, I use git aux sync
to update the copies in the repository.
If I've made changes on another machine and want to apply those changes from the repo to the home dir on this machine, I do git aux apply
.
And that's it :)
It's unfinished and probably broken in places but mostly does what I was looking for.


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Having multiple different vhosts in the same Varnish is a very typical use-case, and from Varnish 5.0 it is possible to have a separate VCL files for separate vhosts or any other distinct subset of requests.
Assume that we want to handle varnish.org with one VCL file and varnish-cache.org with another VCL file.
First load the two VCL files:
vcl.load vo_1 /somewhere/vo.vcl
vcl.load vc_1 /somewhere/vc.vcl
These are 100% normal VCL files, as they would look if you ran only that single domain on your varnish instance.
Next we need to point VCL labels to them:
vcl.label l_vo vo_1
vcl.label l_vc vc_1
Next we write the top-level VCL program, which branches out to the other two, depending on the Host: header in the request:
import std;
# We have to have a backend, even if we do not use it
backend default { .host = "<IP_ADDRESS>"; }
sub vcl_recv {
# Normalize host header
set req.http.host = std.tolower(req.http.host);
if (req.http.host ~ "\.?varnish\.org$") {
return (vcl(l_vo));
}
if (req.http.host ~ "\.?varnish-cache\.org$") {
return (vcl(l_vc));
}
return (synth(302, "http://varnish-cache.org"));
}
sub vcl_synth {
if (resp.status == 301 || resp.status == 302) {
set resp.http.location = resp.reason;
set resp.reason = "Moved";
return (deliver);
}
}
Finally, we load the top level VCL and make it the active VCL:
vcl.load top_1 /somewhere/top.vcl
vcl.use top_1
If you want to update one of the separated VCLs, you load the new one and change the label to point to it:
vcl.load vo_2 /somewhere/vo.vcl
vcl.label l_vo vo_2
If you want to change the top level VCL, do as you always did:
vcl.load top_2 /somewhere/top.vcl
vcl.use top_2


Pragya Thakur nominated to Parliamentary panel on defence
The 21-member parliamentary consultative committee is headed by Defence Minister Rajnath Singh.
by Express News ServiceBJP Lok Sabha member Pragya Singh Thakur has been nominated to the Parliamentary Consultative Committee of the Ministry of Defence.
The Bhopal MP, who is an accused in the Malegaon blasts case, defeated former chief minister of Madhya Pradesh and Congress leader Digvijaya Singh in the Lok Sabha polls earlier this year.
She was granted bail by the Bombay High Court on health grounds in April 2017 after charges against her under the Maharashtra Control of Organised Crime Act were dropped by the National Investigation Agency. She is currently under trial for multiple charges under the Unlawful Activities (Prevention) Act.
The 21-member parliamentary consultative committee is headed by Defence Minister Rajnath Singh.
Slamming the Centre, Congress said the move is “an insult to our nation’s defence forces and to every Indian”.
“Pragya Thakur, a terror accused & Godse fanatic has been nominated by the BJP govt. to be a member of the Parliamentary Panel on Defence. This move is an insult to our nation’s defence forces, to our nation’s esteemed parliamentarians & to every Indian,” Congress tweeted.


ICO Startup Ecosystem
1. IDEA-STAGE
get inspired, learn best practices, develop skills, validate ideas, and begin to build your team and product.
1.Inspire
a.Startup Media: Centralized crypto information, listings, and news. (i.e. startup blogs/ publications/ lists/ FB groups/ newsletters)
b.Inspirational Events: Open, inclusive, beginner startup events (i.e. Startup Weekend, idea fairs, and inspirational meetups)
2.Educate
a.Best Practices: Beginner knowledge-sharing events. (i.e. beginner events that serve to educate more than inspirate, like Startup Grind, Startup Founder 101, etc).
b.Training & Feedback: Skill & Idea development. (Ex. bootcamps and comprehensive training programs, like code camps, etc)
3.Validate
a.Team Formation: Resources for teaming up. (i.e. events or other resources that facilitate early-stage recruitment and cofounder matching)
b.Build First Product: Hackathons & resources to build. (i.e. hackathons and other builder-focused events and resources)
2. LAUNCH-STAGE
In this stage, entrepreneurs establish and formalize the company, develop the product, get feedback from customers, and prepare for the next step.
1.Start
a.Establish: Law firms & banks that specialize in helping startups
b.Workspace: Co-working and flexible workspaces (note: “official” office space goes in 3.1.a. Infrastructure)
2.Develop
a.Formalize: Accounting, development and HR for early-stage startups.
b.Prepare for Seed: Incubators and advanced mentorship. (i.e. advanced knowledge sharing, later stage events and resources for startup TEAMS)
3.Launch
a.Seed Accelerators: Seed funding mentor programs (Techstars-style programs that provide funding)
b.Pitch & Demo: Show crypto startups for investment (i.e. demo days for companies seeking seed investment)
3.  This usually requires funding, angels, VCs, and ways to connect them to startups.
1.Recognition
a.Investor Networking: Connect professional investors with founders. (i.e. events or groups that facilitate connections with professional investors vs. angels)
b.Major Media: Mainstream crypto business press. (i.e. major crypto or regional publications that frequently champion crypto businesses)
2.Funding
a.Angels / Micro-VCs: Seed-stage investors
b.Venture Capitalists: Series A and beyond
3.Growth
a.Infrastructure: Office space, HR, crypto business insurance. (i.e. office space/ HR/ insurance providers for capital-rich companies to grow and scale)
b.Expansion: Growth accelerators/consultants. (i.e. programs and business consultants for capital-rich companies to grow and scale)
4. SUCCESS STORIES
Successful ICOs that have raised significant institutional funding, employ a large workforce, or have achieved liquidity.
Crypto Supporters
To facilitate the steps, every ecosystem needs strong supporters.
1. EVANGELISTS
Successful crypto founders who lead the ecosystem & frequently mentor newbies. (i.e. crypto leaders who have taken a leadership position, speak at a lot of startup events, mentor all the programs, etc.)
2. GOVERNMENT
Public organizations that facilitate crypto economic development
3. TALENT
Major crypto business or tech universities and employers that attract and retain crypto talent.


Organizations often export and store data in files. One possible file format is a flat file. A flat file is a type of file that has only one data table and every row of data is in the same structure. The file does not contain hierarchies. Likely, you're familiar with the most common types of flat files, which are comma-separated values (.csv) files, delimited text (.txt) files, and fixed width files. Another type of file would be the output files from different applications, like Microsoft Excel workbooks (.xlsx).
Power BI Desktop allows you to get data from many types of files. You can find a list of the available options when you use the Get data feature in Power BI Desktop. The following sections explain how you can import data from an Excel file that is stored on a local computer.
The Human Resources (HR) team at Tailwind Traders has prepared a flat file that contains some of your organization's employee data, such as employee name, hire date, position, and manager. They've requested that you build Power BI reports by using this data, and data that is located in several other data sources.
The first step is to determine which file location that you want to use to export and store your data.
Your Excel files might exist in one of the following locations:
Local - You can import data from a local file into Power BI. The file isn't moved into Power BI, and a link doesn't remain to it. Instead, a new dataset is created in Power BI, and data from the Excel file is loaded into it. Accordingly, changes to the original Excel file are not reflected in your Power BI dataset. You can use local data import for data that doesn't change.
OneDrive for Business - You can pull data from OneDrive for Business into Power BI. This method is effective in keeping an Excel file and your dataset, reports, and dashboards in Power BI synchronized. Power BI connects regularly to your file on OneDrive. If any changes are found, your dataset, reports, and dashboards are automatically updated in Power BI.
OneDrive - Personal - You can use data from files on a personal OneDrive account, and get many of the same benefits that you would with OneDrive for Business. However, you'll need to sign in with your personal OneDrive account, and select the Keep me signed in option. Check with your system administrator to determine whether this type of connection is allowed in your organization.
SharePoint - Team Sites - Saving your Power BI Desktop files to SharePoint Team Sites is similar to saving to OneDrive for Business. The main difference is how you connect to the file from Power BI. You can specify a URL or connect to the root folder.
Using a cloud option such as OneDrive or SharePoint Team Sites is the most effective way to keep your file and your dataset, reports, and dashboards in Power BI in-sync. However, if your data does not change regularly, saving files on a local computer is a suitable option.
In Power BI, on the Home tab, select Get data. In the list that displays, select the option that you require, such as Text/CSV or XML. For this example, you will select Excel.
Tip
The Home tab contains quick access data source options, such as Excel, next to the Get data button.
Depending on your selection, you need to find and open your data source. You might be prompted to sign into a service, such as OneDrive, to authenticate your request. In this example, you will open the Employee Data Excel workbook that is stored on the Desktop.
After the file has connected to Power BI Desktop, the Navigator window opens. This window shows you the data that is available in your data source (the Excel file in this example). You can select a table or entity to preview its contents, to ensure that the correct data is loaded into the Power BI model.
Select the check box(es) of the table(s) that you want to bring in to Power BI. This selection activates the Load and Transform Data buttons as shown in the following image.
You now have the option to select the Load button to automatically load your data into the Power BI model or select the Transform Data button to launch the Power Query Editor, where you can review and clean your data before loading it into the Power BI model.
We often recommend that you transform data, but that process will be discussed later in this module. For this example, you can select Load.
You might have to change the location of a source file for a data source during development, or if a file storage location changes. To keep your reports up to date, you'll need to update your file connection paths in Power BI.
Power Query provides a number of ways for you to accomplish this task, so that you can make this type of change when needed.
Warning
If you are changing a file path, make sure that you reconnect to the same file with the same file structure. Any structural changes to a file, such as deleting or renaming columns in the source file, will break the reporting model.
For example, try changing the data source file path in the data source settings. Select Data source settings in Power Query. In the Data source settings window, select your file and then select Change Source. Update the File path or use the Browse option to locate your file, select OK, and then select Close.


--- prev_page: '/motivation.html' next_page: '/tutorial/tutorial_github_setup.html' --- {% raw %}
# HIDDEN
# Clear previously defined variables
%reset -f
In the following set of pages, we will show you how to use nbinteract
and its
related tools. At the end of this tutorial, you will have a publicly viewable
interactive webpage to share with the world!
In this tutorial, we assume familiarity with running terminal commands and using Jupyter notebooks.
The simplest way to follow this tutorial is to use the Binder service to start a notebook server. On the next page, we'll guide you through the steps to configure Binder so that the necessary packages are available for use in notebooks.
If you prefer to work on your local machine, you need to install the nbinteract
package. To install the package, run the following commands in your terminal:
pip install nbinteract
# The next two commands can be skipped for notebook version 5.3 and above
jupyter nbextension enable --py --sys-prefix bqplot
jupyter nbextension enable --py --sys-prefix widgetsnbextension


---
layout: home
search_exclude: true
image: images/logo.png
---
NLP365 1>0
![]({{site.baseurl}}/images/kevin-ku-w7ZyuGYNpRQ-unsplash.jpg "https://github.com/fastai/fastpages")
question words, how and when. So, what's covered here includes the hows for getting AI jobs done and whens for using the right tools created by the almighty open source community. This blog is basically a collection of my own learning records, which might be helpful to you if you are a newbie like me, chasing rabbits in the AI world. Mind you, I was trained for linguistics, not computer science or programming. What I'm offering is simply AI through a linguist's looking glass. If you'd like to be kept posted of new posts (I don't feel guilty for creating yet another problem for NLP.), please click on Subscribe at the bottom of this page.
# Posts


Zooming and panning |
The simplest way to pan the x or y axis is to click on one of the axis tick
labels (actually anywhere outside the plot area will work) and drag it until the
part of the display you wish to view is visible. Sometimes you may want to pan
both the x and y axes at the same time. Instead of doing separate pans on each
axis you can do both at the same time by clicking anywhere in the plot area (but
NOT on any of the traces) and dragging that point until the desired view is
achieved. Yet another way to pan the x axis is to use the optional x-axis cursor
slider that is described in the next section (cursoring)
One panning issue you should be aware of is that its performance
will suffer when plotting very large arrays. For example, try the following command:
plt(humps((1:1e6)/1e6)'*(1:4));
This will plot 4 traces each of which contains a million points. (These vectors
are far bigger than what you will usually want to plot.) The display update rate
while panning this plot on my 2011 era desktop computer is about 3 times per second,
which is noticeably jerky but certainly useable. However if you want to plot even
more data than this it may make sense to decimate it before plotting. Your eye won't
know the difference by the time you are plotting more than a couple of hundred points
per trace, so you won't really be missing anything unless you zoom in dramatically.
Try the same thing as with panning, except drag with the right mouse button instead of the left. You will find that dragging towards the origin compresses the axis (for zooming out) and dragging away from the origin expands the axis (for zooming in). As with panning you can zoom both axes at once by a right click and drag in the plot area. (Unlike panning you don't have to worry about whether you are on a trace or not. The same thing will happen in either case.)
Often to get the desired view requires two mouse movements. The first, with a right click and drag to expand or contract the axis (or axes) and the second, with a left click, to re-center the display. You may find that this is the most convenient method, or perhaps you will like one of the six other methods described below.
If the portion of the graph that you want to zoom in on is completely visible
on the graph, the fastest way of displaying the desired area is to draw an
expansion box. To do this, position the mouse in the plot area over one corner
of the area you wish to zoom in on. Then click both mouse buttons at the same
time, holding them both down while dragging the mouse towards the opposite corner of the desired zoom area. A
yellow box will be drawn, which will be stretched or contracted as you drag the
mouse around. When you let go of the mouse, the display will look similar
to the picture to the left. If you are happy with the expansion box you have
drawn, left click the mouse anywhere in the plot area (or even outside the plot
area if you avoid the edit boxes) and the display will expand to show only the
data inside the expansion box. If you are not happy with the expansion box,
right click anywhere. The expansion box will disappear and you can try again.
If you don't like using the right mouse button (or you don't have one) here
is an alternate method: Double click the left mouse button, but don't release
the button after the second click. Hold the mouse button down while you drag to
create the expansion box. Note that if plt was called with the
MotionZoom parameter, the function specified with
that parameter can cause additional text, plots or other visual effects to
appear and be modified as you adjust the size of the expansion box. (See
Mouse Motion
Functions)
The
most general way of setting the axis limits is to simply type them in. Although
this is perhaps the most painstaking method it is appropriate when
you wish to have an exact value for one or more of the limits. As an example,
suppose you want to change the x-axis limits. First click on the grey "x" label
in front of the x-cursor edit box. When you do that, the edit box doubles up -
i.e. you see two edit boxes as in the picture to the left. And instead of
containing cursor values, these two edit boxes will be set to the current lower
and upper x-axis limits. Highlight one of the numbers in either edit box (by
double clicking on it, or by a single click and drag) and type in a new number
to replace the old (or single click and use the usual editing keys - arrows,
delete, etc). Press enter to accept the new number. Tab also accepts the new
number and then pops you into the opposite edit box allowing you to edit the
other limit. If the new limits you are typing are inside the current plot area,
you will see two vertical lines at the location of the new limits. Once you get
the limits entered, proceed as with the expansion box. That is - left click
anywhere to accept the new limits, or right click to keep the old limits. Of
course the same procedure works for the y-axis limits as well.
The above two methods are more similar than you may think, and you can combine them both. After an expansion box is drawn, both the x and y-cursor edit boxes double up and contain the limits of the expansion box. If you are not satisfied with the expansion box location you can edit any or all of these limits before accepting them via a left click.
If plt is called without any 'xlim' or 'ylim' arguments, both axes are initially auto-scaled to show the entire data range. At any later time you can auto-scale the x-axis by right clicking on the grey "x" label in front of the x-cursor edit box. Right clicking on the grey "y" label is similar for auto-scaling the y-axis, although there is one difference. The difference is that the y-axis is scaled to insure that the data associated with the active trace is visible. There is an alternate way to auto-scale that picks display limits to insure that all the traces are visible instead of just the active trace. (See "Expansion history" below).
Whenever you change the x or y axis limits by any of the above methods, the previous limits are stored in a expansion history list. You can cycle thru these stored limits by left clicking on the XY↔ tag in the menu box. (See "Menu box" below). This list is 4 elements deep, so when you zoom or pan the fifth time the oldest display limits fall off the bottom of the stack. Assuming the expansion history list is full (which is usual) clicking on the XY↔ tag four times in a row will show you the last four display limits. On the fifth click, plt will auto-scale both the x and y axes in a way that insures that all the data for all traces falls inside the display area. On the sixth click, plt goes back to using the axis limits stored in the expansion history list. Although you can auto-scale by clicking on the XY↔ tag a suitable number of times that can be cumbersome since you usually don't know where you are in the rotation. For this reason a faster way to auto-scale is provided ... simply right click once on the XY↔ tag.
Left clicking the Zout tag in the menu box (see "Menu box" below) zooms the display out, roughly doubling the display area. Right clicking zooms in, halving the display area. In both directions the center point of the display remains in the center after the zoom operation.


Colors make everything interesting !
If you are used to designing with computer, either web, image or other types, it is highly likely that you have seen the RGB scheme of color generation.
Use your color sense to identify the right color from various similar looking ones and have fun.
* This Game is low in size
* It does not run in the background.
* Requires no permissions.
* There are no ads.
* Please take the time to Rate the App Five stars. :)
Created By Steev James.


--- title: S3 keywords: fastai sidebar: home_sidebar nb_path: "s3.ipynb" ---
missing environment variable 'INVENTORY_BUCKET_NAME' in Database s3 NB
iprcode: str cprcode: str data: dict
class
DatabaseS3
DatabaseS3()


Loading...
Ranger Quest
Loading...
Click
to start
Town
______
m
Castle
⊲
□
⊳
Morale
Health
______
/
______
HP
Experience
[rats]
1,000,000 / 1,000,000 XP
Morale
______
%
Speed
______
m/s
Gold
______
Bag
[backpack]
1,000,000 / 1,000,000
Worn
...
Ranger
Inventory
Strategies
Options
About
Ranger Stats
Inventory
Strategies
Options
About


Netizens criticize the press on its attitude towards X1
by olmalNetizens, whether or not they support disbanding X1, are criticizing the press over their attitude toward the group. In the short video clip below, one of the pressmen shouts out "Can you wave hands for us?" As the group didn't respond to the request, his colleague made a comment "Wow, no one waved." in a sneering way.
Some comments include:
"I'm sure they would have come up with another ridiculous article if they actually waved upon the request."
"The group should disband to suffer less from the negativity like this."
"The way they speak is just so demeaning."
After the flood of comments, the initial video uploaded on the official YouTube channel of the media with the said voices is now edited with the background music.
What do you think?


Yes, all those circles are actually DIVs drawn with CSS. Visit the GitHub repo: https://github.com/Bonsaiheldin/DOM-Game/
✨ Game won ✨
You defeated all the enemies.
Thanks for playing! ❤
💀 Game lost 💀
The enemies defeated you.
Shouldn't it be the other way round?
Moving: WASD
Shooting: Left mouse button
Shooting: Left mouse button
Made by
Bonsaiheldin
Credits


Hi, this is the library for creating "Barrage".
var displayRegion = document.querySelector('.display__region');
displayRegion.style.height = '200px';
displayRegion.style.width = '800px';
var structure = {
poolNum: 5,
channelNum: 10,
sentDelay: 2,
recurrence: {
recur: true,
delay: 7
},
comment: {
height: 40,
width: 100,
size: 14,
color: 'black',
hover: true
},
animation: {
ani: null,
dir: null,
random: false
}
}
var barrage = new Barrage(displayRegion, structure)

.display__region {
position: relative;
overflow: hidden;
}
Global Variables in Barrage
| Property | Default | Type | Description |
|---|---|---|---|
| displayRegion | / | Object | The DOM element for displaying Barrage. Need to set height and width of the displayRegion before initializing Barrage. Note: displayRegion is not in the initial Barrage structure. |
| commentHeight | 40 | Int | The number of pixels of the height for the global comment texts. Set fixed when initializing Barrage, need to restart Barrage whenever want to change it. For the initial Barrage structure, set structure.comment.height for your Barrage. |
| commentWidth | 100 | Int | The number of pixels of the width for the global comment texts. Set fixed when initializing Barrage, need to restart Barrage whenever want to change it. For the initial Barrage structure, set structure.comment.width for your Barrage. |
| commentSize | 14 | Int | The font size for the global comment texts. Can be changed after initializing Barrage. Minimum: 10px. For the initial Barrage structure, set structure.comment.size for your Barrage. |
| commentColor | 'black' | HEX code or String | The color for the global comment texts. Can be changed after initializing Barrage. Make sure your color is valid, otherwise no effect. For the initial Barrage structure, set structure.comment.color for your Barrage. |
| hover | true | Boolean | The hover effect for the global comment texts & nodes. Set fixed when initializing Barrage, need to restart Barrage whenever want to change it. For the initial Barrage structure, set structure.comment.hover for your Barrage. |
| poolNum | 5 | Int | The maximum number of comments in one row of Barrage. Can be changed after initializing Barrage. Minimum: 1, Maximum: 7. For the initial Barrage structure, set structure.poolNum for your Barrage. |
| channelNum | maxmimum rows / columns of comments in Barrage | Int | The maximum number of rows of your Barrage. Can be changed after initializing Barrage. Minimum: 5, Maximum: maxmimum rows / columns of comments in Barrage. For the initial Barrage structure, set structure.channelNum for your Barrage. | sentDelay | 2 | Int | A factor you want to delay your comment to be sent out. Can be changed after initializing Barrage. Minimum: 2, Maximum: 20. For the initial Barrage structure, set structure.sentDelay for your Barrage. |
| recur | true | Boolean | Whether you want your comment to be sent repeatedly, the barrage only sent a comment once if "recurStatus" is "false". Can be changed after initializing Barrage. For the initial Barrage structure, set structure.recurrence.recur for your Barrage. |
| recurDelay | 7 | Int | Number of seconds you want to your comment to complete the transition on your display region. Can be changed after initializing Barrage. Minimum: 1, Maximum: 10. For the initial Barrage structure, set structure.recurrence.delay for your Barrage. |
| animation | 'linear' | String | Animation for global comment texts & nodes. Current available animations: 'pop-in', 'quadratic', 'ease-in-quart', 'ease-in-cubic', 'linear'. Make sure your animation is valid, otherwise will change to 'linear'. Set fixed when initializing Barrage, need to restart Barrage whenever want to change it. For the initial Barrage structure, set structure.animation.ani for your Barrage. |
| direction | 'right' | String | Moving Direction for global comment texts & nodes. Current available directions: 'top', 'bottom', 'left', 'right'. For example, if choosing 'right', then comments will move from right to left. Make sure your direction is valid, otherwise will change to 'right'. Set fixed when initializing Barrage, need to restart Barrage whenever want to change it. For the initial Barrage structure, set structure.animation.dir for your Barrage. |
| rand | false | Boolean | Randoms start position for global comment texts & nodes. Only for 'top', 'bottom' directions. Set fixed when initializing Barrage, need to restart Barrage whenever want to change it. For the initial Barrage structure, set structure.animation.random for your Barrage. |
// Change poolNum for Barrage, make sure poolNum type is Int.
// Minimum: 1, Maximum: 7.
barrage.setPoolNum(poolNum)
// Change channelNum for Barrage, make sure channelNum type is Int.
// Minimum: 5, Maximum: maxmimum rows / columns of comments in Barrage.
barrage.setChannelNum(channelNum)
// Change sentDelay for Barrage, make sure sentDelay type is Int.
// Minimum: 2, Maximum: 20.
barrage.setSentDelay(sentDelay)
// Change recur for Barrage, make sure recur type is Boolean.
barrage.setRecur(recur)
// Change recurDelay for Barrage, make sure recurDelay type is Int.
// Minimum: 1, Maximum: 10.
barrage.setRecurDelay(recurDelay)
// Change commentSize and/or commentColor for Barrage.
// Make sure commentSize type is Int, commentColor is valid.
// Minimum for commentSize: 10.
barrage.setComment(commentSize, commentColor)
// Add comment text to Barrage, make sure commentText type is String.
barrage.addCommentText(commentText)
// Add all comment texts in commentTexts array to Barrage.
// Make sure comment in commentTexts array have type String.
barrage.addAllCommentText(commentTexts)
// Add comment node to Barrage, make sure commentNode type is DOM Object.
barrage.addCommentNode(commentNode)
// Add all comment nodes in commentNodes array to Barrage.
// Make sure comment node in commentNodes array have type DOM Object.
barrage.addAllCommentNode(commentNodes)
// Terminate Barrage, your cannot activate Barrage again after terminate it.
barrage.terminateBarrage()


Lanr
Music-blog-Lan
- ——A blog focused on good music
Collect only good music
-
恬静心情——You need some quiet music
May 28, 2012 in tranquilpeak, features
<详情>
-
派对专属——It's time for some happy music
Mar 03, 2017 in tranquilpeak, features
<详情>
-
你不是一个人在战斗——Someone fight with you
Dec 22, 2015 in tranquilpeak, features
<详情>
-
歌曲可以带来快乐——Music can bring power
Nov 02, 2015 in tranquilpeak, features
<详情>
-
浪漫心情——Romantic people have romance
Aug 14, 2015 in tranquilpeak, features
<详情>
-
爱情是一种什么东西——What is love
Feb 03, 2015 in tranquilpeak, features
<详情>
-
当海洋的味道与Music搅拌——The taste of the sea
Oct 20, 2015 in tranquilpeak, features
<详情>


Bowfinger * * 1/2 (out of * * * * )
Directed by Frank Oz. Cast: Steve Martin, Eddie Murphy, Heather Graham, Christine Baranski, Jamie Kennedy, Adam Alexi-Malle, Terence Stamp, Robert Downey Jr. 1999 - 97 minutes. Rated PG-13 (for profanity and sexual situations). Reviewed August 16, 1999.
Writer-actor Steve Martin has a genuine love for the art of cinema and filmmaking in general. How did I come to this conclusion? Easy. Because no one could have possibly written the new comedy, "Bowfinger," without having an overwhelming fondness for movies, as the main character is the 49-year-old struggling novice director, Bobby Bowfinger (Steve Martin), a man whose inspiration was no doubt Edward D. Wood, Jr., the '50s and '60s filmmaker who had a passion for his craft, but made what some widely consider the worst films ever made, most notably "Plan 9 From Outer Space" and "Glen or Glenda." With his stock acting troupe that includes a Mexican screenwriter (Adam Alexi-Malle) and Carol (Christine Baranski), his loyal sole actress, Bobby Bowfinger has been attempting to get a film greenlit in Hollywood for years now, even having set up his own production company (without any productions to its name, thus far), Bowfinger International Pictures. One day, a light is sparked in Bobby when his writer hands him a sci-fi script entitled, "Chubby Rain," about aliens that fall to Earth within raindrops. Cleverly running into distinguished film producer Jerry Renfro (Robert Downey Jr.), Renfro lets Bobby know after reading the first and last pages that he will have a "go" picture if he can get popular movie star Kit Ramsey (Eddie Murphy) to agree to topline the project. After a disasterous encounter with him at his mansion, Bobby, in ultra desperation, devises a plan to still make "Chubby Rain" with Kit: he will get his assistant (Jamie Kennedy) to stake out Kit's every move, hide a video camera out of sight, and instruct the rest of his actors, playing aliens, to walk up to him, say their lines, and let Kit react to the scene as if it is real--because for Kit, of course, it is real, and he soon becomes convinced that people are actually out to get him. To Bobby's surprise, this unconventional, decidedly illegal, method of filmmaking starts off very well, but when Kit finally goes into hiding, it is up to the team to find someone to be Kit's stand-in, which he finds in Jiff, a nerdy, braces-wearing McDonald's employee.
As the premise for a big-studio comedy, "Bowfinger" is dynamite in the story department. Reminiscent in some ways to Tim Burton's 1994 film, "Ed Wood," "Bowfinger" is fascinating throughout due to its meticulous, intriguing look at moviemaking. The way that Bobby Bowfinger gets his actors to interact with an unknowing Kit Ramsey is ingenious, and cause for many big laughs, while director Frank Oz (1991's "What About Bob?" and 1997's "In & Out") is just the right man for the job, a talent who is almost a sure-thing when it comes to making a feature comedy.
Unfortunately, aside from its sheer inventiveness, which helps to make the picture worth seeing for this reason alone, "Bowfinger" is fairly shallow when handling its many characters. As the at-first-innocent Daisy who comes to L.A. to be a star and decides to sleep with everyone she comes into contact with to get a boost in the biz, Heather Graham is wonderfully giddy and high-spirited, and her performance is an improvement on a comedic level from her ho-hum appearance in this summer's earlier, "Austin Powers: The Spy Who Shagged Me." What is so disappointing about Daisy, however, is that her character would have been more funny and likable had she not metamorphosized virtually overnight from a ditzy, innocent country girl (she makes her first appearance by getting off a bus, walking into an audition for Bowfinger, and earnestly asking, "Is this where you come to be a star?") into a promiscuous actress who goes through men (and women) like she goes through packets of ketchup. In perhaps the film's best performance and a more substantially large role than she usually plays, Christine Baranski is top-notch and hilariously wacky as an astoundingly over-the-top actress who, in "Chubby Rain," plays the role of a knife-wielding alien who repeatedly screams, "Bastard!" every time she sees Kit. As for Jamie Kennedy (1996's "Scream" and 1997's "Scream 2"), as Bowfinger's camera operator and assistant, he is almost just as wasted as he has been in every film following his stint in that popular horror series.
All of the talk I had heard going into "Bowfinger" was about Eddie Murphy's standout duel roles as Kit Ramsey and Jiff, but that is where the film's most major flaw lies. Although Murphy appears throughout the film and is engaging with what he is given, he plays the two roles only half of the time, therefore making both Kit and Jiff one-dimensonal supporting characters. Once Jiff enters into the film midway through, Kit mostly disappears, and nothing is really done with Murphy's second personality, aside from using him in one of the comedic centerpieces, in which he has to run across a roaring, busy freeway. Regardless of the hype, it is Steve Martin who is the star of the picture, and his Bobby Bowfinger feels tailor-made for the actor (no shock there, since Martin wrote the screenplay). The problem is, for a comedy, Martin isn't particularly funny either, but mostly "the straight man" for which everyone else plays off of.
And so lies the outcome of "Bowfinger," which is that the film is far more successful in its examination of pedestrian moviemaking, and gains most of its laughs from this aspect, rather than in the mostly forgettable characters. For example, one of the highlights of the picture is a sequence set in a parking deck in which Kit keeps hearing a second pair of footsteps every time he walks. I won't give away the comic payoff, but it is a laugh riot the way that the scene is milked for all its worth, as well as in its perfect comic timing. Too many problems detract from "Bowfinger" to make it be considered a "great" comedy, but it is a good one, not to mention the most entertaining movie about movies that I've seen in a few years (at the very least, better than the disasterous 1998 bomb, "Burn Hollywood Burn: An Alan Smithee Film"). For its amount of laughs, however, it places below the likes of this summer's "American Pie," "Drop Dead Gorgeous," and "Dick," well above that of "Austin Powers" and "Mystery Men," and about equal to "Big Daddy." Not at all a bad place to stand in a comedy-crowded summer season.
- Copyright 1999 by Dustin Putman. Http://hometown.aol.com/FilmFan16/index.html
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
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If there's anything better than watching @tenderlove laugh at his own jokes, I don't know what it is. #railsconf
4/27/2017, 5:12:16 PM
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If there's anything better than watching @tenderlove laugh at his own jokes, I don't know what it is. #railsconf
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2 Session 1: Introduction to R
- Course structure
- Why R?
- Installing R
- Setting up files/folders
- R packages
- Importing data
- Useful resources
2.1 Course structure
6 teaching sessions drawing from several resources including the Epidemiologist R handbook
An excellent resource for all skill/experience levels
Direct towards specific sections for you to work through in your own time
2 hours sessions, twice a week to present key topics and answer questions
2.3 Installing R
For this course, you will need to install 2 items:
R programming language
R Studio
Integrated Development Environment (IDE)
A very helpful resource for writing and running R code
You will need to install them in this order - First R, then R studio
2.4 Setting up files and folders
2.4.1 Best practice
Setting up files and folders will make your analysis (and life!) easier
Folder structure
Naming files and folders
<IP_ADDRESS> Folder structure
R Studio works best when you use its project function
Each project contains all of your inputs, outputs and code
This also makes it easier to share folders with colleagues
- Everything is in one place!
Projects are covered in more detail in the Epidemiologist R handbook: Chapter 6 “R Projects”
<IP_ADDRESS> Naming files and folders
If you want to share your code with colleagues or return to code after several weeks/months, you will be grateful that you gave your files and folders meaningful names! Many organisations have style guides to ensure that teams can collaborate on coding projects.
Key points to remember for naming
Keep the name short
Instead of “data_import_of_file_for_analysis.R”
- “import_file.R”
Avoid spaces!
Instead of “import file.R”
- “_” “import_file.R”
- “-” “import-file.R”
- camelCase “importFile.R”
2.6 R packages
2.6.1 What is an R package?
Definition from the Epidemiologist R handbook - 3.7 “Packages”
“An R package is a shareable bundle of code and documentation that contains pre-defined functions. Users in the R community develop packages all the time catered to specific problems, it is likely that one can help with your work! You will install and use hundreds of packages in your use of R.”
Packages can simplify your workflow by combining multiple steps into a smaller number of commands.
Example: readxl is a package of functions used to import data from Excel to R.
2.6.2 Installing a package
install.packages(“readxl”)
We have asked R to install the package readxl.
The installation has been successful. You do not need to reinstall the packages every time you start a new project as they are saved in your library.
In R, red text does not mean there has been an error! It means that R is warning you about something related to the function you have instructed R to apply to the data.
Epidemiologist R handbook: Section 3.13 Errors vs. warnings
You will now be able to see the package in your list of packages.
2.6.3 Loading a package
Now that readxl
has been installed, you will be able to load it and use its functions.
library(readxl)
When the package has been successfully loaded, you will see a tick mark in the box.
<IP_ADDRESS> pacman
It is good practice to load all packages at the start of a script. This can help you to see which packages are being loaded and it ensures that you can write code without interruptions from the library command.
There is a package called pacman which can help with this process. When you run pacman::p_load
you can list all of the packages you want to load. If the package has not previously been installed, pacman will install it. If the package has been installed, pacman will load it.
::p_load(readxl,here) pacman
2.6.4 Using a package
Each package has multiple functions that you can use on your data.
To read more about a particular package, type
?readxl
2.7 Objects
So far we have installed, loaded and used a package (readxl). But how do we use the data generated from applying the functions? We assign the information to “objects”.
Section in Epidemiologist for R handbook about Objects
“Everything you store in R - datasets, variables, a list of village names, a total population number, even outputs such as graphs - are objects which are assigned a name and can be referenced in later commands.”
To explain objects, we will calculate a value, assign it to an object and then use the object for a second calculation.
2+2
## [1] 4
We can assign the calculation “2+2” to an object called “a”.
<- 2+2 a
We can then use the object a to show the results of the calculation.
a
## [1] 4
We can also use this value for further calculations such as adding 4 to the object a.
+ 4 a
## [1] 8
<- a+4 b
The result of this calculation is now stored in the object “b”.
b
## [1] 8
2.8 Importing data
For this example, we want to import data that is currently stored in an Excel formatted file “.xlsx”. So we can use the function read_xlsx
from the readxl package.
read_xlsx(here('data','AfricaCovid','AfricaCovid.xlsx'))
## New names:
## * `` -> ...1
## # A tibble: 58 x 2
## ...1 `www.hera-ngo.org`
## <chr> <chr>
## 1 <NA><EMAIL_ADDRESS>## 2 Country Last update
## 3 Algeria 44318
## 4 Angola 44318
## 5 Benin 44317
## 6 Botswana 44317
## 7 Burkina Faso 44317
## 8 Burundi 44318
## 9 Cameroon 44317
## 10 Central African Republic 44317
## # … with 48 more rows
But what does this show? And how can we use it?
- Before importing a file from Excel, it can be helpful to open the file in Excel so we can see what data are stored in the file
So when we tell R to use the function read_xlsx
, it reads the first sheet which is called “ReadMore”.It looks like this is a summary sheet with information about when data for each country was last updated. So how do we tell R to read in a different sheet from the Excel file?
Question - How many confirmed cases of COVID were recorded across Africa in July 2020?
First step - Import data from the sheet containing information on COVID cases
We can use the excel_sheets
function from readxl to get the names of all sheets in the Excel workbook
excel_sheets(here('data','AfricaCovid','AfricaCovid.xlsx'))
## [1] "ReadMore" "Infected_per_day" "Recovered_per_day"
## [4] "Deceased_per_day" "Cumulative_infected" "Cumulative_recovered"
## [7] "Cumulative_deceased" "SDN FLore" "GHA Flore"
## [10] "SLE Flore" "ZAF Flore"
From this list we can see that we want to import data from the sheet “Infected_per_day”.
read_xlsx(here('data','AfricaCovid','AfricaCovid.xlsx'), sheet="Infected_per_day")
## # A tibble: 53 x 492
## ISO COUNTRY_NAME AFRICAN_REGION `43831` `43832` `43833` `43834` `43835`
## <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 DZA Algeria Northern Afri… 0 0 0 0 0
## 2 AGO Angola Southern Afri… 0 0 0 0 0
## 3 BEN Benin Western Africa 0 0 0 0 0
## 4 BWA Botswana Southern Afri… 0 0 0 0 0
## 5 BFA Burkina Faso Western Africa 0 0 0 0 0
## 6 BDI Burundi Central Africa 0 0 0 0 0
## 7 CMR Cameroon Central Africa 0 0 0 0 0
## 8 CAR Central African… Central Africa 0 0 0 0 0
## 9 TCD Chad Central Africa 0 0 0 0 0
## 10 COM Comoros Eastern Africa 0 0 0 0 0
## # … with 43 more rows, and 484 more variables: 43836 <dbl>, 43837 <dbl>,
## # 43838 <dbl>, 43839 <dbl>, 43840 <dbl>, 43841 <dbl>, 43842 <dbl>,
## # 43843 <dbl>, 43844 <dbl>, 43845 <dbl>, 43846 <dbl>, 43847 <dbl>,
## # 43848 <dbl>, 43849 <dbl>, 43850 <dbl>, 43851 <dbl>, 43852 <dbl>,
## # 43853 <dbl>, 43854 <dbl>, 43855 <dbl>, 43856 <dbl>, 43857 <dbl>,
## # 43858 <dbl>, 43859 <dbl>, 43860 <dbl>, 43861 <dbl>, 43862 <dbl>,
## # 43863 <dbl>, 43864 <dbl>, 43865 <dbl>, 43866 <dbl>, 43867 <dbl>,
## # 43868 <dbl>, 43869 <dbl>, 43870 <dbl>, 43871 <dbl>, 43872 <dbl>,
## # 43873 <dbl>, 43874 <dbl>, 43875 <dbl>, 43876 <dbl>, 43877 <dbl>,
## # 43878 <dbl>, 43879 <dbl>, 43880 <dbl>, 43881 <dbl>, 43882 <dbl>,
## # 43883 <dbl>, 43884 <dbl>, 43885 <dbl>, 43886 <dbl>, 43887 <dbl>,
## # 43888 <dbl>, 43889 <dbl>, 43890 <dbl>, 43891 <dbl>, 43892 <dbl>,
## # 43893 <dbl>, 43894 <dbl>, 43895 <dbl>, 43896 <dbl>, 43897 <dbl>,
## # 43898 <dbl>, 43899 <dbl>, 43900 <dbl>, 43901 <dbl>, 43902 <dbl>,
## # 43903 <dbl>, 43904 <dbl>, 43905 <dbl>, 43906 <dbl>, 43907 <dbl>,
## # 43908 <dbl>, 43909 <dbl>, 43910 <dbl>, 43911 <dbl>, 43912 <dbl>,
## # 43913 <dbl>, 43914 <dbl>, 43915 <dbl>, 43916 <dbl>, 43917 <dbl>,
## # 43918 <dbl>, 43919 <dbl>, 43920 <dbl>, 43921 <dbl>, 43922 <dbl>,
## # 43923 <dbl>, 43924 <dbl>, 43925 <dbl>, 43926 <dbl>, 43927 <dbl>,
## # 43928 <dbl>, 43929 <dbl>, 43930 <dbl>, 43931 <dbl>, 43932 <dbl>,
## # 43933 <dbl>, 43934 <dbl>, 43935 <dbl>, …
We can see a snapshot of the data from the sheet “Infected_per_day”
2.8.1 Assigning data to an object
We have previously used the function read_xlsx
from the package readxl to import data from an Excel spreadsheet.
However, we didn’t assign this data to an object, so it is not possible to use the data from the import step.
We can assign the data to an object and then conduct further analysis.
<- read_xlsx(here('data','AfricaCovid','AfricaCovid.xlsx'), sheet="Infected_per_day") africa_covid_cases
You will now see the object in the “Environment” section of R Studio.
Now the data have been assigned to the object “africa_covid_cases
”, we can start to work with the data.
2.9 Exporting data
Along with importing data, R can be used to export objects. This can be helpful if you need to send an analysis dataset to a colleague. There are many options for exporting data. The simplest is the write.csv
function which is pre-installed when you run R
write.csv(africa_covid_cases, here('data', 'africa_covid_cases_long.csv'))
This will save a csv file containing the data from the africa_covid_cases_long object.
The package readxl contains several functions for importing data. There is another package called writexl which has multiple functions for exporting data.
install.packages("writexl")
To use writexl to export a
library(writexl)
write_xlsx(africa_covid_cases, here('data', 'africa_covid_cases_long.xlsx'))
2.10 Exercises
Open R, and run the readxl package
- What does the readxl package do?
Import the Excel dataset (africa_cdc_covid_cases.xlsx) into R


Pandas JSON
2014-11-26
####Pandas to JSON#### #####It is for this script /scripts/PandasJSONscript.py#####
- To convert pandas dataframe into JSON, converted pandas dataframe into csv and then using this script to convert csv into json. But it was not giving satisfactory json file, the fields where completely shuffled.
- Then used pandas in built function of
to_json
but it was giving nested json file.import pandas import pandas as pd d=pd.read_csv('/home/swl-sacon-dst/Documents/GISE_2013/LAB/Aerocet_DATA/Oct_sample/json/A08102014M.csv') db=d[['Time','long','lat','PM1(ug/m3)','PM2.5(ug/m3)','PM4(ug/m3)','PM7(ug/m3)','PM10(ug/m3)','TSP(ug/m3)']] db['geojson']='{\\"type\\":\\"Point\\",\\"coordinates\\":['+db['long'].astype(str)+','+db['lat'].astype(str)+']}' db2=db[['Time','PM2.5(ug/m3)','PM10(ug/m3)','TSP(ug/m3)','geojson']] db2.to_json('testJS3.json') db2.reset_index().to_json('testJS4.json',orient='index') db2.to_json('testJS4.json',orient='index')
- Then found that making dictionary element is bettwer way to do json from pandas. This script does exactly that. Though this script ends in error as commented along with the script.
import pandas
import json
import pandas as pd
data=pd.read_csv('/home/swl-sacon-dst/Documents/GISE_2013/LAB/Aerocet_DATA/Oct_sample/json/A08102014M.csv')
db=data[['Time','long','lat','PM2.5(ug/m3)','PM10(ug/m3)','TSP(ug/m3)']]
db['geojson']='{\"type\":\"Point\",\"coordinates\":['+db['long'].astype(str)+','+db['lat'].astype(str)+']}'
d = [
dict([
(colname, row[i])
for i,colname in enumerate(db.columns)
])
for row in df.values
]
#alternative to above which gives error of IndexError: index out of bounds
d = [{colname : row[i] for i, colname in enumerate(db.columns)} for row in db.iterrows()]
#alternative to above with error of IndexError: tuple index out of range
d=[{k:db.values[i][v] for v,k in enumerate(db.columns)} for i in range(len(db)) ]
#the above only is working and genrated the json as of the meteros example, based on [this](https://gist.github.com/mikedewar/1486027)
jsonf = open('testJS7.json','w')
dd=json.dumps(d)
jsonf.write(dd)
jsonf.close()
- The dict creation line given as a comment with the script ends without any error. The line is as follows
d=[{k:db.values[i][v] for v,k in enumerate(db.columns)} for i in range(len(db)) ]


Trace-based Just-in-Time Type Specialization for
DynamicLanguagesAndreas Gal∗+, Brendan Eich∗, Mike Shaver∗, David Anderson∗, David Mandelin∗,Mohammad R. Haghighat$, Blake Kaplan∗, Graydon Hoare∗, Boris Zbarsky∗, Jason Orendorff∗,Jesse Ruderman∗, Edwin Smith#, Rick Reitmaier#, Michael Bebenita+, Mason Chang+#, Michael Franz+Mozilla<EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS>of California<EMAIL_ADDRESS>languages such as JavaScript are more difficult to
com-pile than statically typed ones. Since no concrete type
informationis available, traditional compilers need to emit generic code
that canhandle all possible type combinations at runtime. We present
an al-ternative compilation technique for dynamically-typed
languagesthat identifies frequently executed loop traces at run-time
and thengenerates machine code on the fly that is specialized for the
ac-tual dynamic types occurring on each path through the loop.
Ourmethod provides cheap inter-procedural type specialization,
and anelegant and efficient way of incrementally compiling lazily
discov-ered alternative paths through nested loops. We have
implementeda dynamic compiler for JavaScript based on our technique and
wehave measured speedups of 10x and more for certain
benchmarkprograms.Categories and Subject DescriptorsD.3.4 [Programming Lan-guages]: Processors —Incremental compilers, code generation.General TermsDesign, Experimentation, Measurement, Perfor-mance.KeywordsJavaScript, just-in-time compilation, trace trees.1. IntroductionDynamic languagessuch as JavaScript, Python, and Ruby, are pop-ular since they are expressive, accessible to non-experts,
and makedeployment as easy as distributing a source file. They are
used forsmall scripts as well as for complex applications.
JavaScript, forexample, is the de facto standard for client-side web
programmingPermission to make digital or hard copies of all or part of
this work for personal orclassroom use is granted without fee provided that copies are
not made or distributedfor profit or commercial advantage and that copies bear this
notice and the full citationon the first page. To copy otherwise, to republish, to post
on servers or to redistributeto lists, requires prior specific permission and/or a
fee.PLDI’09,June 15–20, 2009, Dublin, Ireland.Copyrightc©2009 ACM 978-1-60558-392-1/09/06. . . $5.00and is used for the application logic of browser-based
productivityapplications such as Google Mail, Google Docs and Zimbra
Col-laboration Suite. In this domain, in order to provide a fluid
userexperience and enable a new generation of applications,
virtual ma-chines must provide a low startup time and high
performance.Compilers for statically typed languages rely on type
informa-tion to generate efficient machine code. In a dynamically
typed pro-gramming language such as JavaScript, the types of
expressionsmay vary at runtime. This means that the compiler can no
longereasily transform operations into machine instructions that
operateon one specific type. Without exact type information, the
compilermust emit slower generalized machine code that can deal with
allpotential type combinations. While compile-time static type
infer-ence might be able to gather type information to generate
opti-mized machine code, traditional static analysis is very
expensiveand hence not well suited for the highly interactive
environment ofa web browser.We present a trace-based compilation technique for
dynamiclanguages that reconciles speed of compilation with excellent
per-formance of the generated machine code. Our system uses a
mixed-mode execution approach: the system starts running JavaScript
in afast-starting bytecode interpreter. As the program runs, the
systemidentifieshot(frequently executed) bytecode sequences, recordsthem, and compiles them to fast native code. We call such a
se-quence of instructions atrace.Unlike method-based dynamic compilers, our dynamic com-piler operates at the granularity of individual loops. This
designchoice is based on the expectation that programs spend most
oftheir time in hot loops. Even in dynamically typed languages,
weexpect hot loops to be mostlytype-stable, meaning that the types ofvalues are invariant. (12) For example, we would expect loop
coun-ters that start as integers to remain integers for all
iterations. Whenboth of these expectations hold, a trace-based compiler can
coverthe program execution with a small number of
type-specialized, ef-ficiently compiled traces.Each compiled trace covers one path through the program
withone mapping of values to types. When the VM executes a
compiledtrace, it cannot guarantee that the same path will be
followedor that the same types will occur in subsequent loop
iterations.
Hence, recording and compiling a tracespeculatesthat the path andtyping will be exactly as they were during recording for
subsequentiterations of the loop.Every compiled trace contains all theguards(checks) requiredto validate the speculation. If one of the guards fails (if
controlflow is different, or a value of a different type is
generated), thetrace exits. If an exit becomes hot, the VM can record
abranchtracestarting at the exit to cover the new path. In this way, the
VMrecords atrace treecovering all the hot paths through the loop.Nested loops can be difficult to optimize for tracing VMs.
Ina na
̈ıve implementation, inner loops would become hot first,
andthe VM would start tracing there. When the inner loop exits,
theVM would detect that a different branch was taken. The VM
wouldtry to record a branch trace, and find that the trace reaches
not theinner loop header, but the outer loop header. At this point,
the VMcould continue tracing until it reaches the inner loop header
again,thus tracing the outer loop inside a trace tree for the inner
loop.But this requires tracing a copy of the outer loop for every
side exitand type combination in the inner loop. In essence, this is a
formof unintended tail duplication, which can easily overflow the
codecache. Alternatively, the VM could simply stop tracing, and
give upon ever tracing outer loops.We solve the nested loop problem by recordingnested tracetrees. Our system traces the inner loop exactly as the na
̈ıve version.The system stops extending the inner tree when it reaches an
outerloop, but then it starts a new trace at the outer loop
header. Whenthe outer loop reaches the inner loop header, the system
tries to callthe trace tree for the inner loop. If the call succeeds, the
VM recordsthe call to the inner tree as part of the outer trace and
finishesthe outer trace as normal. In this way, our system can trace
anynumber of loops nested to any depth without causing excessive
tailduplication.These techniques allow a VM to dynamically translate a
pro-gram to nested, type-specialized trace trees. Because traces
cancross function call boundaries, our techniques also achieve
the ef-fects of inlining. Because traces have no internal
control-flow joins,they can be optimized in linear time by a simple compiler
(10).Thus, our tracing VM efficiently performs the same kind of
op-timizations that would require interprocedural analysis in a
staticoptimization setting. This makes tracing an attractive and
effectivetool to type specialize even complex function call-rich
code.We implemented these techniques for an existing JavaScript
in-terpreter, SpiderMonkey. We call the resulting tracing
VMTrace-Monkey. TraceMonkey supports all the JavaScript features of
Spi-derMonkey, with a 2x-20x speedup for traceable
programs.This paper makes the following contributions:•We explain an algorithm for dynamically forming trace trees
tocover a program, representing nested loops as nested trace
trees.•We explain how to speculatively generate efficient
type-specializedcode for traces from dynamic language programs.•We validate our tracing techniques in an implementation
basedon the SpiderMonkey JavaScript interpreter, achieving
2x-20xspeedups on many programs.The remainder of this paper is organized as follows. Section
3 isa general overview of trace tree based compilation we use to
cap-ture and compile frequently executed code regions. In Section
4we describe our approach of covering nested loops using a
num-ber of individual trace trees. In Section 5 we describe our
trace-compilation based speculative type specialization approach we
useto generate efficient machine code from recorded bytecode
traces.Our implementation of a dynamic type-specializing compiler
forJavaScript is described in Section 6. Related work is
discussed inSection 8. In Section 7 we evaluate our dynamic compiler
based on1 for (var i = 2; i < 100; ++i) {2 if (!primes[i])3 continue;4 for (var k = i + i; i < 100; k += i)5 primes[k] = false;6 }Figure 1. Sample program: sieve of Eratosthenes.primesisinitialized to an array of 100falsevalues on entry to this codesnippet.InterpretBytecodesMonitorRecordLIR TraceExecuteCompiled TraceEnterCompiled TraceCompileLIR TraceLeaveCompiled Traceloop edgehotloop/exitabort recordingfinish at loop headercold/blacklistedloop/exitcompiled trace readyloop edge with same typesside exit to existing traceside exit,no existing traceOverheadInterpretingNativeSymbol KeyFigure 2.State machine describing the major activities of Trace-Monkey and the conditions that cause transitions to a new
activ-ity. In the dark box, TM executes JS as compiled traces. In
thelight gray boxes, TM executes JS in the standard interpreter.
Whiteboxes are overhead. Thus, to maximize performance, we need
tomaximize time spent in the darkest box and minimize time
spent inthe white boxes. The best case is a loop where the types at
the loopedge are the same as the types on entry–then TM can stay in
nativecode until the loop is done.a set of industry benchmarks. The paper ends with conclusions
inSection 9 and an outlook on future work is presented in
Section 10.2. Overview: Example Tracing RunThis section provides an overview of our system by
describinghow TraceMonkey executes an example program. The
exampleprogram, shown in Figure 1, computes the first 100 prime
numberswith nested loops. The narrative should be read along with
Figure 2,which describes the activities TraceMonkey performs and when
ittransitions between the loops.TraceMonkey always begins executing a program in the
byte-code interpreter. Every loop back edge is a potential trace
point.When the interpreter crosses a loop edge, TraceMonkey
invokesthetrace monitor, which may decide to record or execute a nativetrace. At the start of execution, there are no compiled
traces yet, sothe trace monitor counts the number of times each loop back
edge isexecuted until a loop becomeshot, currently after 2 crossings. Notethat the way our loops are compiled, the loop edge is crossed
beforeentering the loop, so the second crossing occurs immediately
afterthe first iteration.Here is the sequence of events broken down by outer
loopiteration:


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Here goes all the steps of full body challenge!
You should continue this for 1 month
20 minitues per day
Step-1:JUMPING JACKS
Stand upright with your legs together, arms at your sides.
Bend your knees slightly, and jump into the air.
As you jump, spread your legs to be about shoulder-width apart.

Jump back to starting position.
Repeat it.
Click Here To Watch The Video
Step-2:ABDOMINAL CRUNCHES
Lie down on the floor on your back and bend your knees, placing your hands behind your head .
Pull your belly button towards your spine in preparation for the movement.
Slowly contract your abdominals, bringing your shoulder blades about 1 or 2 inches off the floor.
Hold at the top of the movement for a few seconds, breathing continuously.
Slowly lower back down, but don't relax all the way.
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Step-3:PLANK
Your elbows are directly under your shoulders and your forearms are facing forward.
Engage your abdominal muscles, drawing your navel toward your spine.
Hold this position for 10 seconds. Release to floor
Over time work up to 30, 45, or 60 seconds.
Click Here To Watch The Video
Step-4:RUSSIAN TWIST
press your feet into the floor or extend them straight out as you get a feel for the movement.
As you twist, keep your arms parallel to the floor or reach down to tap the floor beside you.
Maintain a straight spine, and avoid slouching or rounding your spine.
Allow your gaze to follow the movement of your hands.
Click Here To Watch The Video
Step-5:COBRA STRETCH
Place your hands on the ground beneath and at the level of both shoulders.
Keep your both legs contracted firmly to the ground, apart, plantarflexed.
Contract and hold your abdominal muscles during the exercise.
Keep raising your back until you reach the full stretch of your spine as much as you can.
Hold for 30 seconds then repeat 3 to 5 times.
Repeat it.
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A large list of functions and language features. Don't worry - we will only use a few of these at a time!
Also available from the Processing main window: Help > Reference
Some online examples of processing programs that you can look at.
Many more and better examples are available from the Processing main window: File > Examples...
Some tutorials that you can follow in your own time, if you want.
A more advanced series of mathematical, computer related problems.


Jason Garrett Criticized For The Cowboys’ Undisciplined Performance
by Andrew HolleranYou can’t beat the New England Patriots with mistakes. Unfortunately for the Dallas Cowboys, they’ve been unable to avoid them in Foxborough this evening.
New England is leading Dallas, 10-6, early in the fourth quarter. It’s been an error-filled game for the Cowboys, who haven’t been able to get out of their own way for much of the 2019 regular season.
Dallas had a punt blocked and an interception in the first half. In the second half, the Cowboys have had multiple penalty-killing drives, along with some crushing special teams mistakes.
On a rainy, windy night at Gillette Stadium, all of the small things add up quickly. And Jason Garrett’s team has been incapable of doing them successfully tonight.
Of course, the blame is going to Garrett.
“I’m really looking forward to Jason Garrett coaching the Giants in 2020. Unless the Cowboys reach the NFC Championship Game, which ain’t happening because we can’t beat good teams, it’s time for a change. We have too much talent to be this crappy,” one fan tweeted.
“If you were waiting for a Jason Garrett-coached team to do all the little things in poor weather on the road to beat a good opponent… keep waiting. This game is over,” one reporter added.
It’s been a rough afternoon all along for the Cowboys’ head coach.
There’s still time left in this game, as the Patriots are leading the Cowboys, 10-6, with a little more than 11 minutes to play.
Dallas, though, has yet to prove it’s able to avoid the kind of mistakes that will ultimately seal the win for New England.
The game is on FOX.


This page contains reference information about how to build and debug the MyBatis Generator (MBG) feature from source.
The MBG feature is structured as six different Eclipse projects - a feature project,
four plugin projects, and a project that holds the build scripts. The feature project
groups the four plugins together for easy installation. The MBG feature project is
org.mybatis.generator
.
That project references the four plugin projects. The plugin projects are structured as
follows:
| Plug-in Project | Description |
|---|---|
org.mybatis.generator.core |
This plugin holds the Java source for the core MBG library. The project for this plugin contains linked folders to the MBG source tree. |
org.mybatis.generator.eclipse.core |
This plugin holds Java support classes for the other plugins. This plugin does not contribute to the Eclipse user interface. This plugin includes classes for Java file merging, and Eclipse implementations of the MBG callback interfaces. |
org.mybatis.generator.eclipse.doc |
This plug-in holds the documentation for MBG. There is a build file in this plug-in (buildDoc.xml) that will build the documentation and package it for inclusion into the Eclipse help system. |
org.mybatis.generator.eclipse.ui |
This plug-in holds the Java code for the Eclipse user interface for MBG. If you are experiencing trouble with the plugin specific features (like the integrated Ant task), then the code for those features will be found in this plugin. |
There are two other Eclipse projects that complete the feature:
| Project | Description |
|---|---|
org.mybatis.generator |
This project is the Eclipse feature project for MBG. |
org.mybatis.generator.build |
This project holds the build scripts and properties for the feature build. |
The following instructions show how to setup an Eclipse workspace for building the MBG feature and plug-ins from the latest source in the Github repository. We assume that you are somewhat familiar with Git and the Eclipse plug-in development environment (PDE). These instructions also assume you are using Eclipse version 4.5.2 (Mars.2).
.../core/mybatis-generator-core/src
folder in the source tree
(Window>Preferences>General>Workspace>Linked Resources)At this point the projects should be successfully compiled in Eclipse. If you want to debug something in the plug-in, you will need to start another instance of Eclipse in debug mode. The following instructions explain how to do this.
Once you have the other instance of Eclipse started you should create a new Java project in the new workspace, create and fill out an MBG configuration file, and then run MBG. MBG should eventually hit your breakpoint, and then you step through the code. Note that the "Manual Test Scripts" page in these instructions has instructions for creating a start project if you need one.
The following classes will likely be of the most interest in debugging:
| Class | Description |
|---|---|
org.mybatis.generator.eclipse.ui.actions.RunGeneratorThread |
This class is a thread that runs MBG on the selected configuration file.
You can set a breakpoint in the run method of this class to follow
the MBG code generation process from the beginning.
|
org.mybatis.generator.eclipse.core.merge.JavaFileMerger |
This class implements the Java file merge function. You can set a breakpoint
in the getMergedSource method to follow the merging process.
|
The documentation for MBG is integrated into the Eclipse help system.
The documentation is partially generated (Javadocs), partially copied in from the
core MBG source tree, and partially maintained in the plugin itself.
This full documentation set is not in source control because it is partially generated. If you would
like to rebuild the documentation, simply execute the buildDoc.xml
file
in the org.mybatis.generator.eclipse.doc
project (an Ant build file).
If you want to build an updated version of the feature and distribute it locally, then follow these steps:
build.xml
in the org.mybatis.generator.build
project. There are four properties at the beginning of the file that may need to
change for your local environment.
| Property | Description |
|---|---|
| baseLocation | This should be set to the location on disk of an eclipse distribution that includes the plug in development environment. |
| pdeBuildPluginVersion | This is the version of the org.eclipse.pde.build plugin.
The value in the file is the correct version for Eclipse 3.7.1
|
| equinoxLauncherPluginVersion | This is the version of the org.eclipse.equinox.launcher plugin.
The value in the file is the correct version for Eclipse 3.7.1
|
| buildDirectory | This is the target directory for the build. |
build.xml
file.
build.xml
file (right click, Run As>Ant Build)Once the build executes successfully, the new feature will be available
on your local drive at
/temp/mybatis.generator.build/buildRepo
unless you change the buildDirectory
property above. The easiest way
to install this new version of the feature is to create a new local repository
that points to this directory (Help>Install New Software...) and install
the new version with P2.


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Bank SinoPac
Executive Vice President/
and General Manager
Northern Region Branches
General Manager Office
Taipei City Taiwan (R.O.C.)
<EMAIL_ADDRESS>I am Mr.Huang Chi-Lin.I work with Bank Sino Pac,International Bank of Taipei as General Manager. I have an obscured business proposal of Seventeen million three Hundred thousand United State dollars.If you are interested do get back to me with your Full Name,Age phone/fax number,contact address,and I will give you more details
I prefer you to reach me with the below email address.
<EMAIL_ADDRESS>Your earliest response to this letter will be appreciated.
Best Regard,
Mr.Chi-Lin.