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I’m a digital product designer living in Raleigh, NC with my wife, two boys, and dog. I’ve designed interfaces for the past ~15 years.
I’m currently working remotely as the head of design at Iterable, a marketing automation platform, where we help brands better communicate with their customers. It’s an exciting space, with all sorts of interesting challenges around AI, big data, and tools for creation. I love getting to work with technology that's human-centered, makes people’s jobs easier, and amplifies their creative potential.
Before Iterable, I was the design director at thoughtbot’s Raleigh studio, where we built custom web and mobile applications for our clients around the Southeast.
I’m a “full-stack” generalist, interested in scaling quality, culture, and innovation for high-functioning, distributed design teams.
Outside of work, I’m getting better at woodworking and flower gardening. I play a lot of Sudoku, and love kayaking in the coastal Carolinas.
I always enjoy connecting with designers and other makers. Shoot me an email if you’re in the area, working on an interesting project, or have thoughts on remote design work! I’d love to chat.


DataTables' server-side processing mode is a feature that naturally fits in with Scroller perfectly. Server-side processing can be used to show large data sets, with the server being used to do the data processing, and Scroller optimising the display of the data in a scrolling viewport.
When using server-side processing, Scroller will wait a small amount of time to allow the scrolling to finish before requesting more data from the server (200mS by default). This prevents you from DoSing your own server!
This example shows Scroller using server-side
processing mode and 5 million rows. Important
This particular example uses
ajaxDT
as a function to 'fake' the data to show
Scroller's ability to show large data sets. It does
not have a real database behind it! You would
normally not use
ajaxDT
as a function to generate data, but rather as a
url for where to fetch the real data!
In this example we also enable the
loadingIndicator
option of Scroller to show the end user what is
happening when they scroll passed the currently
loaded data.
| ID | First name | Last name | ZIP / Post code | Country |
|---|
The Javascript shown below is used to initialise the table shown in this example:
$(document).ready(function()
{ $('#example').DataTable( { serverSide: true,
ordering: false, searching: false, ajax:
function ( data, callback, settings ) { var out
= []; for ( var i=data.start,
ien=data.start+data.length ; i<ien ; i++ ) {
out.push( [ i+'-1', i+'-2', i+'-3', i+'-4',
i+'-5' ] ); } setTimeout( function () {
callback( { draw: data.draw, data: out,
recordsTotal: 5000000, recordsFiltered: 5000000
} ); }, 50 ); }, dom: "rtiS", scrollY:
200, scroller: { loadingIndicator: true } } ); }
);
In addition to the above code, the following Javascript library files are loaded for use in this example:
The HTML shown below is the raw HTML table element, before it has been enhanced by DataTables:
This example uses a little bit of additional CSS beyond what is loaded from the library files (below), in order to correctly display the table. The additional CSS used is shown below:
The following CSS library files are loaded for use in this example to provide the styling of the table:
This table loads data by Ajax. The latest data that has been loaded is shown below. This data will update automatically as any additional data is loaded.
The script used to perform the server-side processing for this table is shown below. Please note that this is just an example script using PHP. Server-side processing scripts can be written in any language, using the protocol described in the DataTables documentation.


- Custom Layout using HTML5 and CSS3, with WordPress content managemnt system
- Repsonsive / Mobile Friendly design
- 10 Pages approximately
- Contact Form
- Blog
- Socail Media feeds
- Google Maps - location/directions
Prices start from
- Custom Layout using HTML5 and CSS3, with WordPress content managemnt system
- Repsonsive / Mobile Friendly design
- 10 Pages approximately
- Contact Form
- Blog
- Socail Media feeds
- Social Media Integartion
- Google Maps - location/directions
- Site Traffic Analytics - Setup
- Website Security
- Content Management System (CMS) Training
Prices start from


\typein[cmd]{msg}
Prints msg on the terminal and causes LaTeX to stop and wait for you to type a line of input, ending with return. If the cmd argument is missing, the typed input is processed as if it had been included in the input file in place of the \typein command. If the cmd argument is present, it must be a command name. This command name is then defined or redefined to be the typed input.
See also Terminal Input and Output
Go to LaTeX Table of Contents


--- layout: post title: "Nexus 7 Wireless Charging Mod" desc: "Here is a small guide to upgrade your old Nexus 7 from 2012 to suit the lazy tech-guy" thumbnail: "53dd94d36a12a6f895ce804c5b85b8ea.jpg" categories: article tags: {} ---
Like me you might have an old Nexus 7 2012 and with the new Nexus 7 2013 you might be wondering, why does it not have wireless charging and in that case could I give it wireless charging and would it be worth it?
Well long story short, it probably isn't worth it for the average joe, but if you're looking for an excuse to try out with some light hardware modding then this is for you.
So what do you need?
Grab a knife and cut open a USB cable, there should be four wires but we really only need two.
You might wonder why use cables from a USB cable, well it's cheap, we know it's capable of charging the device, and well you probably have one laying around.
Now to expose the metal on the wires grab the lighter and burn the ends of the wires(maybe open a window), when the platic is melting rip it off with your fingers.
Solder the two wires to the charging receiver and make sure the solder is not touching each other.
Now put the receiver on your charging pad and manually connect the wires to the side-connector on the Nexus 7 to make sure it works(look below)
Once you've found the correct connectors, solder them to the tablet, remember be careful that the solder only covers the right connector.
Now the hardest part is done and now you just need to place the receiver on the backplate and make sure it fits your charging pad.
Tape the receiver down and smack the backplate onto the tablet and you're done.


Play/Pause
mono_stereo_5.1surround.wav
/
bllt_impact_01.wav
/
mono_track_test.wav
/
stereo_track_test.wav


Northwestern University Library
Mar 2013 — Present
Worked on open source rails apps for students, faculty, and staff to store and retrieve digital content and associated rich metadata.
Began transitioning from locally hosted applications to AWS and docker.
YJT
Mar 2011 — Feb 2013
Worked primarily with futures and options trading shops in a development role on a variety of projects.
- Formed product development department and lead as senior architect and developer
- Worked with outside marketing agency on discovery and information architecture of new website
- Established standards for network monitoring implementation
- Integrated third party solutions for our monitoring and analytics services
- Devised advanced analytics and metrics for BI systems and support
Bluepay
Sep 2008 — Mar 2011
- Architected and developed in-house enterprise software solution that resulted in saving $30,000 OPEX per month, produced new revenue streams, and lowered the cost of support
- Managed the transitions of newly acquired businesses to existing systems
- Identified departmental inefficiencies and lead development team to create company wide operational standards, resulting in a more effective and predictable work flow
- Implemented and trained department on use of source management (GIT)
- Held Project Management role that involved gathering requirements, establishing clear goals, and creating actionable solutions across company wide technology needs
SpringCM
Jan 2008 — Sep 2008
- Responsible for creating custom libraries capable of interacting with existing application
- Created MSSQL Reporting Service reports for client use
- Analyzed business processes of clients and developed custom libraries to automate and organize customer documents
- Created custom OCR profiles using AABBY software and integrated results into existing application
Comedy Central
Feb 2008
- Developed PHP based Facebook application to promote a new Comedy Central show
- Architected demographic data gathering and reporting services using the Facebook API
OnlineDataCorp
Feb 2005 — Jan 2008
- Lead efficiency initiative that resulted in a 60% productivity increase
- Extended web app for OnlineDataCorp agent use, which inspired the development of iPayment web app
- Developed web based CRM which allowed agents to manage portfolios globally and provided additional revenue
{% endif %}
{% if site.resume_section_education %}
B.S. In Computer Science
University of Iowa — May 2004
{% endif %}
{% if site.resume_section_projects %}
Founder & Primary Developer • 2012 — Present
Donut Locator is an open source node/ember app that lets users find donuts within a defined radius from their home.
Springfield Donut Eater's User Group
Co-Founder & Organizer • 2007 — Present
DEUG is a local monthly meetup in Springfield where we share all the latest tips and tricks for dat donut lifestyle. I organize the group, and typically eat most of the donuts.
{% endif %}
{% if site.resume_section_skills %}
Donut design
Sprinkle art, icing design, eclair management, taste testing, donut/coffee pairing research
Craft beer brewing
Hops inspection, brew testing, distribution management, bottle label design, festival and event management
Family leadership
Bread winning, conflict resolution, couch inspection, TV longevity testing
{% endif %}
{% if site.resume_section_recognition %}
Springfield Nuclear Power Plant
Outstanding Achievement • 2010
Awarded for stopping a nuclear meltdown, even though I also started it.
Duff Beer Customer of the year
1997 — 2001, 2003, 2008 — 2012
Honored by Duff Beer for being an outstanding customer several years straight. Qualifications included most beer consumed at a bar, most beer purchased, and most beer ralphed.
Moe's Patron of the Month
12/2001, 8/2004
Specifically this prestigious awarded twice for stopping a robber with my belly.
{% endif %}
{% if site.resume_section_associations %}
Volunteer • 2008 — Present
Organized fund drives and participated in fundraising events for the benefit of families in third world countries without proper access to malt beverages.
Springfield Nuclear Workers Labor Union
Member in Good Standin • 1994 — Present
Founding member of the local nuclear workers labor union.
{% endif %}
{% if site.resume_section_links %}
{% endif %}
{% if site.resume_print_social_links %}
{% include print-social-links.html %}


Read me¶
DSE_DO_Utils¶
Decision Optimization utilities for IBM Watson Studio Local and ICPd projects.
Source (GitHub)
Documentation (GitHubPages)
This repository contains the package dse_do_utils
. This can be installed using pip.
Important¶
From v<IP_ADDRESS>, the dse-do-utils require the package decision-optimization-client==1.0.0 and no longer the former dd-scenario. This package is NOT installed by default, neither in CPD3.5 not CPD4.0. DSE-DO-Utils v<IP_ADDRESS> works in both CPD 3.5 and 4.0. dd-scenario works in CPDv3.5, but NOT in CPDv4.0.
Main classes:¶
ScenarioManager. Reads and writes table data from and to all combinations of csv-files, Excel spreadhseet and DO scenario.
DataManager. A DataManager is mostly a container for data and functions for pre- and post-processing. Can be subclassed and stored in a script to be able to share code between multiple notebooks. Also contains some utilities for data manipulation, like the crossjoin.
OptimizationEngine. Also mostly a container for functions around creating an optimization model and using the docplex APIs. Can be subclassed and stored in a script to be able to share code between multiple notebooks. Also contains some functions to create dvars and export .lp files.
ScenarioPicker. Interactively pick an existing scenario from a drop-down menu in a notebook. Typically used in visualization notebooks.
MapManager. For creating map visualizations using Folium.
Installation on CPDv4.0¶
For Cloud Pak for Data v4.0.
Install in customized environment¶
CPDv4.0 allows for easy customization of environments. Add the following to the customization configuration:
channels:
- fake # or empty
- nodefaults
dependencies:
- pip
- pip:
- dse-do-utils==<IP_ADDRESS>
- decision-optimization-client==1.0.0
This automatically downloads dse-do-utils from PyPI and installs the package.
(Note: the fake
/ nodefaults
is a hack to avoid installation of pip itself. This will greatly improve the installation performance.)
Installation (CPDv2.5)¶
(For Cloud Pak for Data v2.5)
CPDv2.5 is very different from the previous versions and it has a significant impact on how the dse-do-utils can be installed and used.
Options:
Install using pip in a customized environment. This applies to both Jupyter and JupyterLab.
Install as a package in JupyterLab.
Install as modules in Jupyter
Install/use as modules in the DO Model Builder
Install in customized environment¶
CPDv2.5 allows for easy customization of environments. Add the following to the customization configuration:
- pip:
- dse-do-utils=<IP_ADDRESS>
This automatically downloads dse-do-utils from PyPI and installs the package.
For air-gapped systems that have no access to PyPI:
Download the package from PyPI/Conda from an internet connected system as a wheel/zip file
Upload the wheel/zip as a data asset
Install package from wheel/zip
This downloads the package as a wheel/zip and puts it in the data assets
!pip download dse-do-utils -d /project_data/data_asset/
Then move the wheel/zip to the Data Assets.
See the InstallationReadMe.md
for more details on installation and usage in other cases.
Import¶
Then import the required classes from dse_do_utils
:
from dse_do_utils import ScenarioManager, DataManager
This is the basics. For many ore details on other usage, see InstallationReadMe.md
Target environments¶
To be used within:
CPDv2.1 (version <IP_ADDRESS> is preferred. But version <IP_ADDRESS> should be backwards compatible.)
CPDv2.5 (version <IP_ADDRESS> and up)
WSLv1.2.3 with Python 2.7 (version <IP_ADDRESS> only)
WS Cloud (version <IP_ADDRESS> and up)
DO Model Builder and WML environments¶
When developing and using optimization models, there are 3 different environments the Python DO model might run in:
A notebook environment.
The DO Model Builder environment.
The WML deployment environment.
In CPDv2.5:
Only the notebook environment can be regularly customized with the dse-do-utils.
The Model Builder environment cannot be customized. But, it has a feature to add ‘files’. The dse-do-utils internal modules have been refactored to be able to be uploaded separately as individual modules.
The WML environment cannot be customized. But the same work-around for adding modules/files to the MB model can be used.
In CPDv3.0:
The WML environment can be customized using APIs.
In future releases of CPD:
The DO Model Builder will also allow for environment customization
Scope of classes/modules¶
The classes OptimizationEngine
and DataManager
are intended to be used within the optimization model code
that will run in the Model Builder and WML deployment. All other classes, in particular the ScenarioManager
are
designed to be used outside of the Model Builder or WML, e.g. within #dd-ignore
cells.
Therefore, the limitations in customizing environments can, for the moment, be avoided by not using
the classes OptimizationEngine
and DataManager
.
Requirements¶
This package requires:
dd-scenario. This package provides an interface to the DO scenarios. This package is only available within WSL and ICPd. It cannot be pip installed in other environments.
docplex. This package interfaces with the CPLEX and CP Optimizer optimization engines.
folium. Map visualization. Only for the MapManager.


FixedFrameOrientation2DBasics
, FrameOrientation2DBasics
, FrameOrientation2DReadOnly
, Orientation2DBasics
FrameOrientation2D
, Orientation2D
public interface Orientation2DReadOnly
A 2D orientation is in the XY-plane, i.e. the yaw angle about the z-axis.
| Modifier and Type | Method | Description |
|---|---|---|
default boolean |
containsNaN() |
Tests if this orientation 2D contains
Double.NaN . |
default double |
difference(Orientation2DReadOnly other) |
Computes and returns the difference between
this and other :distance = this.yaw - other.yaw |
default double |
distance(Orientation2DReadOnly other) |
Computes the distance between
this and other as the absolute difference in
angle:distance = Math.abs(this.yaw - other.yaw) |
default boolean |
epsilonEquals(Orientation2DReadOnly other,
double epsilon) |
Tests if the yaw angle of this orientation is equal to an
epsilon to the yaw of
other . |
default boolean |
equals(Orientation2DReadOnly other) |
Tests if this orientation 2D is exactly equal to
other . |
default boolean |
geometricallyEquals(Orientation2DReadOnly other,
double epsilon) |
Compares
this to other to determine if the two orientations are geometrically
similar, i.e. |
double |
getYaw() |
Returns the current yaw angle of this orientation 2D.
|
default void |
inverseTransform(us.ihmc.euclid.tuple2D.interfaces.Tuple2DBasics tupleToTransform) |
Performs the inverse of the transform to the given
tupleToTransform by the rotation about
the z-axis described by this. |
default void |
inverseTransform(us.ihmc.euclid.tuple2D.interfaces.Tuple2DReadOnly tupleOriginal,
us.ihmc.euclid.tuple2D.interfaces.Tuple2DBasics tupleTransformed) |
Performs the inverse of the transform to the given
tupleOriginal by the rotation about
the z-axis described by this and stores the result in tupleTransformed . |
default void |
inverseTransform(us.ihmc.euclid.tuple3D.interfaces.Tuple3DBasics tupleToTransform) |
Performs the inverse of the transform to the given
tupleToTransform by the rotation about
the z-axis described by this. |
default void |
inverseTransform(us.ihmc.euclid.tuple3D.interfaces.Tuple3DReadOnly tupleOriginal,
us.ihmc.euclid.tuple3D.interfaces.Tuple3DBasics tupleTransformed) |
Performs the inverse of the transform to the given
tupleOriginal by the rotation about
the z-axis described by this and stores the result in tupleTransformed . |
default void |
transform(us.ihmc.euclid.tuple2D.interfaces.Tuple2DBasics tupleToTransform) |
Transforms the given
tupleToTransform by the rotation about the z-axis described by this. |
default void |
transform(us.ihmc.euclid.tuple2D.interfaces.Tuple2DReadOnly tupleOriginal,
us.ihmc.euclid.tuple2D.interfaces.Tuple2DBasics tupleTransformed) |
Transforms the given
tupleOriginal by the rotation about the z-axis described by this and
stores the result in tupleTransformed . |
default void |
transform(us.ihmc.euclid.tuple3D.interfaces.Tuple3DBasics tupleToTransform) |
Transforms the given
tupleToTransform by the rotation about the z-axis described by this. |
default void |
transform(us.ihmc.euclid.tuple3D.interfaces.Tuple3DReadOnly tupleOriginal,
us.ihmc.euclid.tuple3D.interfaces.Tuple3DBasics tupleTransformed) |
Transforms the given
tupleOriginal by the rotation about the z-axis described by this and
stores the result in tupleTransformed . |
double getYaw()
default boolean containsNaN()
Double.NaN
.true
if this orientation 2D contains a Double.NaN
, false
otherwise.default double difference(Orientation2DReadOnly other)
this
and other
:distance = this.yaw - other.yaw
other
- the other orientation 2D. Not modified.this
and other
contained in [-pi,
pi].default double distance(Orientation2DReadOnly other)
this
and other
as the absolute difference in
angle:distance = Math.abs(this.yaw - other.yaw)
other
- the other orientation 2D. Not modified.this
and other
contained in [0, pi].default void transform(us.ihmc.euclid.tuple2D.interfaces.Tuple2DBasics tupleToTransform)
tupleToTransform
by the rotation about the z-axis described by this.
tupleToTransform = / cos(yaw) -sin(yaw) \ * tupleToTransform \ sin(yaw) cos(yaw) /
tupleToTransform
- the tuple to transform. Modified.default void transform(us.ihmc.euclid.tuple2D.interfaces.Tuple2DReadOnly tupleOriginal, us.ihmc.euclid.tuple2D.interfaces.Tuple2DBasics tupleTransformed)
tupleOriginal
by the rotation about the z-axis described by this and
stores the result in tupleTransformed
.
tupleTransformed = / cos(yaw) -sin(yaw) \ * tupleOriginal \ sin(yaw) cos(yaw) /
tupleOriginal
- the tuple to be transformed. Not modified.tupleTransformed
- the tuple in which the result is stored. Modified.default void transform(us.ihmc.euclid.tuple3D.interfaces.Tuple3DBasics tupleToTransform)
tupleToTransform
by the rotation about the z-axis described by this.
/ cos(yaw) -sin(yaw) 0 \ tupleToTransform = | sin(yaw) cos(yaw) 0 | * tupleToTransform \ 0 0 1 /
tupleToTransform
- the tuple to transform. Modified.default void transform(us.ihmc.euclid.tuple3D.interfaces.Tuple3DReadOnly tupleOriginal, us.ihmc.euclid.tuple3D.interfaces.Tuple3DBasics tupleTransformed)
tupleOriginal
by the rotation about the z-axis described by this and
stores the result in tupleTransformed
.
/ cos(yaw) -sin(yaw) 0 \ tupleTransformed = | sin(yaw) cos(yaw) 0 | * tupleOriginal \ 0 0 1 /
tupleOriginal
- the tuple to be transformed. Not modified.tupleTransformed
- the tuple in which the result is stored. Modified.default void inverseTransform(us.ihmc.euclid.tuple2D.interfaces.Tuple2DBasics tupleToTransform)
tupleToTransform
by the rotation about
the z-axis described by this.
tupleToTransform = / cos(-yaw) -sin(-yaw) \ * tupleToTransform \ sin(-yaw) cos(-yaw) /
tupleToTransform
- the tuple to transform. Modified.default void inverseTransform(us.ihmc.euclid.tuple2D.interfaces.Tuple2DReadOnly tupleOriginal, us.ihmc.euclid.tuple2D.interfaces.Tuple2DBasics tupleTransformed)
tupleOriginal
by the rotation about
the z-axis described by this and stores the result in tupleTransformed
.
tupleTransformed = / cos(-yaw) -sin(-yaw) \ * tupleOriginal \ sin(-yaw) cos(-yaw) /
tupleOriginal
- the tuple to be transformed. Not modified.tupleTransformed
- the tuple in which the result is stored. Modified.default void inverseTransform(us.ihmc.euclid.tuple3D.interfaces.Tuple3DBasics tupleToTransform)
tupleToTransform
by the rotation about
the z-axis described by this.
/ cos(-yaw) -sin(-yaw) 0 \ tupleToTransform = | sin(-yaw) cos(-yaw) 0 | * tupleToTransform \ 0 0 1 /
tupleToTransform
- the tuple to transform. Modified.default void inverseTransform(us.ihmc.euclid.tuple3D.interfaces.Tuple3DReadOnly tupleOriginal, us.ihmc.euclid.tuple3D.interfaces.Tuple3DBasics tupleTransformed)
tupleOriginal
by the rotation about
the z-axis described by this and stores the result in tupleTransformed
.
/ cos(-yaw) -sin(-yaw) 0 \ tupleTransformed = | sin(-yaw) cos(-yaw) 0 | * tupleOriginal \ 0 0 1 /
tupleOriginal
- the tuple to be transformed. Not modified.tupleTransformed
- the tuple in which the result is stored. Modified.default boolean epsilonEquals(Orientation2DReadOnly other, double epsilon)
epsilon
to the yaw of
other
.
Note that this method performs number comparison and not an angle comparison, such that: -pi ≠ pi.
other
- the query. Not modified.epsilon
- the tolerance to use.true
if the two orientations are equal, false
otherwise.default boolean geometricallyEquals(Orientation2DReadOnly other, double epsilon)
this
to other
to determine if the two orientations are geometrically
similar, i.e. the difference in yaw of this
and other
is less than or equal to
epsilon
.other
- the orientation to compare to. Not modified.epsilon
- the tolerance of the comparison.true
if the two orientations represent the same geometry, false
otherwise.default boolean equals(Orientation2DReadOnly other)
other
.
Note that this method performs number comparison and not an angle comparison, such that: -pi ≠ pi.
other
- the other orientation 2D to compare against this. Not modified.true
if the two orientations are exactly equal, false
otherwise.


Example: QuickNII origin: 0 0 0 Any occurrences of digits (12) and dots neighbored by digits (1. .2) are treated as coordinates, everything else is considered separator. When 3 coordinates are found, a new line is added to the table. 2 1.
QuickNII coordinates (RAS)
Allen CCFv3 coordinates (PIR)[um]
anteroposterior
inferomedial
mediolateral


when openssh will kick out idle users ?
when reading CIS security baseline. it mentions following lines:
Having no timeout value associated with a connection could allow an unauthorized user access to another user’s ssh session (e.g. user walks away from their computer and doesn’t lock the screen). Setting a timeout value at least reduces the risk of this happening..
While the recommended setting is 300 seconds (5 minutes), set this timeout value based on site policy. The recommended setting for ClientAliveCountMax is 0. In this case, the client session will be terminated after 5 minutes of idle time and no keepalive messages will be sent.
Review our settings:
ClientAliveInterval 300
ClientAliveCountMax 1
According to man sshd_config
If ClientAliveInterval (see below) is set to 15, and ClientAliveCountMax is left at the default, unresponsive SSH clients will be disconnected after approximately 45 seconds. This option applies to protocol version 2 only.
Interesting thing is: you won’t be kicked out after 45s if you set as above with Protocol 2.
From my test: the timeout will ONLY work when you set ClientAliveCountMax to 0. and idle time set to what you want kick out the user.


Form
: semantically significant form variation of a word
| Values: | Emp |
This is a morphological feature that marks a usually non-paradigmatic, and possibly not even standardised, variation in the form of a word which also determines a change in its meaning or use, or which is itself determined by a particular syntactic context.
Emp
: emphatic form of a word
This value is marked for words which appear in an expanded, emphatic form with respect to some “more basic” form or that otherwise incorporate common emphatic elements, and that can be no longer analyzed as compounds if they ever were one.
In Latin, this phenomenon is particularly common, and limited, to functional words with a discoursive role (usually labelled as particles) and words in relational and deictic classes like pronouns and determiners. Strategies to mark emphasis are often specific to given word subclasses, like personal pronouns, and can often be traced back to demonstrative/pronominal/conjunctional or interjective elements.
Emphasis differs from degree in that it does not scale a quality or property, but it rather singles out an element in the clause and highlights or focuses it (so this feature can appear in conjunction with the relation advmod:emph
) or otherwise strengthens it by extending its scope.
Examples
- enim is emphatic with respect to nam
- equidem is emphatic with respect to quidem
- ecce is a “presentative particle” in an emphatic form, also with a demonstrative -ce element
- in all these words, an e- element appears, which might be the same in all cases
- namque is another emphatic form of nam showing the common -que suffix for generalisation (cf. quis ‘who’ vs. quisque ‘whoever’)
- meopte shows an emphatic -pte suffix, which is added only to possessives
- semet shows an emphatic -met suffix, added nearly exclusively to personal pronouns (egomet, tibimet…), often treated as a clitic
- sese, emphasis by reduplication of the reflexive third person personal pronoun se (abl./acc. case)
- mehercle can possibly be seen as an emphatic form of the vocative of Hercules (me- might correspond to the first-person personal pronoun)
- īdem/eadem/ĭdem ‘the same’ is a strengthened form of the personal pronoun is/ea/id ‘he/she/it’ by means of the suffix -dem, of demonstrative origin
- quamquam or quanquam is an example of emphasis by reduplication
Form in other languages: [ga] [gd] [gv] [ko] [la]


Arm performance test
Performance differences in build systems become more apparent on slower platforms. To examine this difference we compared the performance of Meson with GNU Autotools. We took the GLib software project and rewrote its build setup with Meson. GLib was chosen because it is a relatively large C code base which requires lots of low level configuration.
The Meson version of the build system is not fully equivalent to the original Autotools one. It does not do all the same configuration steps and does not build all the same targets. The biggest missing piece being internationalisation support with Gettext. However it does configure the system enough to build all C source and run all unit tests.
All measurements were done on a Nexus 4 smart phone running the latest Ubuntu touch image (updated on September 9th 2013).
Measurements
The first thing we measured was the time it took to run the configure step.
Meson takes roughly 20 seconds whereas Autotools takes 220. This is a difference of one order of magnitude. Autotools' time contains both autogen and configure. Again it should be remembered that Meson does not do all the configure steps that Autotools does. It does do about 90% of them and it takes just 10% of the time to do it.
Then we measured the build times. Two parallel compilation processes were used for both systems.
On desktop machines Ninja based build systems are 10-20% faster than Make based ones. On this platform the difference grows to 50%. The difference is probably caused by Make's inefficient disk access patterns. Ninja is better at keeping both cores running all the time which yields impressive performance improvements.
Next we measured the "empty build" case. That is, how long does it take for the build system to detect that no changes need to be made. This is one of the most important metrics of build systems because it places a hard limit on how fast you can iterate on your code. Autotools takes 14 seconds to determine that no work needs to be done. Meson (or, rather, Ninja) takes just one quarter of a second.
One step which takes quite a lot of time is linking. A common case is that you are working on a library and there are tens of small test executables that link to it. Even if the compilation step would be fast, relinking all of the test executables takes time. It is common for people to manually compile only one test application with a command such as make sometest
rather than rebuild everything.
Meson has an optimization for this case. Whenever a library is rebuilt, Meson inspects the ABI it exports. If it has not changed, Meson will skip all relinking steps as unnecessary. The difference this makes can be clearly seen in the chart above. In that test the source was fully built, then the file glib/gbytes.c
was touched to force the rebuild of the base glib shared library. As can be seen, Autotools then relinks all test executables that link with glib. Since Meson can detect that the ABI is the same it can skip those steps. The end result being that Meson is almost one hundred times faster on this very common use case.
Conclusions
One of the main drawbacks of C and C++ compared to languages such as Java are long compilation times. However at least some of the blame can be found in the build tools used rather than the languages themselves or their compilers. Choosing proper tools can bring C and C++ compilation very close to instantaneous rebuilds. This has a direct impact on programmer productivity.
The results of the search are


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Version 1.0 - April 1997
IBM VoiceType Developer's Toolkit for OS/2
Grammar Guide
Version 1.0
Grammars are used in two contexts:
First Edition (April 1997)
The following paragraph does not apply to the United Kingdom or any country where such provisions are inconsistent with local law:
INTERNATIONAL BUSINESS MACHINES CORPORATION PROVIDES THIS PUBLICATION "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE.
Some states do not allow disclaimer of express or implied warranties in certain transactions, therefore, this statement may not apply to you.
This publication could include technical inaccuracies or typographical errors. Changes are periodically made to the information herein; these changes will be incorporated in new editions of the publication. IBM may make improvements and/or changes in the product(s) and/or the program(s) described in this publication at any time.
It is possible that this publication may contain reference to, or information about, IBM products (machines and programs), programming, or services that are not announced in your country. Such references or information must not be construed to mean that IBM intends to announce such IBM products, programming, or services in your country.
Requests for technical information about IBM products should be made to your IBM reseller or IBM marketing representative.
© Copyright International Business Machines Corporation 1997. All rights reserved.
Note to U.S. Government Users: Documentation related to restricted rights - use, duplication or disclosure is subject to restrictions set forth in GSA ADP Schedule Contract with IBM Corp.
References in this publication to IBM products, programs, or services do not imply that IBM intends to make these available in all countries in which IBM operates. Any reference to an IBM product, program or service is not intended to state or imply that only that IBM product, program, or service may be used. Subject to IBM's valid intellectual property or other legally protectable rights, any functionally equivalent product, program, or service may be used instead of the IBM product, program, or service. The evaluation and verification of operation in conjunction with other products, except those expressly designated by IBM, are the responsibility of the user.
IBM may have patents or pending patent applications covering subject matter in this document. The furnishing of this document does not give you any license to these patents. You can send license inquiries, in writing, to:
IBM Director of Licensing
IBM Corporation
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Licensees of this program who wish to have information about it for the purpose of enabling: (i) the exchange of information between independently created programs and other programs (including this one) and (ii) the mutual use of the information which has been exchanged, should contact IBM Corporation, Department LZKS, 11400 Burnet Road, Austin, TX 78758 U.S.A. Such information may be available, subject to appropriate terms and conditions, including in some cases, payment of a fee.
The following terms are trademarks of the IBM Corporation in the United States or other countries or both:
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Other company, product, and service names, which may be denoted by a double asterisk (**), may be trademarks or service marks of others.


{{notification.title}} {{notification.notes}} Start's at {{notification.startsAt | date: 'HH:mm a'}}End's at {{notification.endsAt | date: 'HH:mm a'}}on going for entire day
{{notification.title}} {{notification.notes}} {{notification.location}} Start's at {{notification.startsAt | date: 'HH:mm a'}}End's at {{notification.endsAt | date: 'HH:mm a'}}on going for entire day


Storage
Rack::Cache runs within each of your backend application processes and does not rely on a single intermediary process like most types of proxy cache implementations. Because of this, the storage subsystem has implications on not only where cache data is stored but whether the cache is properly distributed between multiple backend processes. It is highly recommended that you read and understand the following before choosing a storage implementation.
Storage Areas
Rack::Cache stores cache entries in two separate configurable storage areas: a MetaStore and an EntityStore.
The MetaStore keeps high level information about each cache entry, including the request/response headers and other status information. When a request is received, the core caching logic uses this meta information to determine whether a fresh cache entry exists that can satisfy the request.
The EntityStore is where the actual response body content is stored. When a response is entered into the cache, a SHA1 digest of the response body content is calculated and used as a key. The entries stored in the MetaStore reference their response bodies using this SHA1 key.
Separating request/response meta-data from response content has a few important advantages:
Different storage types can be used for meta and entity storage. For example, it may be desirable to use memcached to store meta information while using the filesystem for entity storage.
Cache entry meta-data may be retrieved quickly without also retrieving response bodies. This avoids significant overhead when the cache misses or only requires validation.
Multiple different responses may include the same exact response body. In these cases, the actual body content is stored once and referenced from each of the meta store entries.
You should consider how the meta and entity stores differ when choosing a storage
implementation. The MetaStore does not require nearly as much memory as the
EntityStore and is accessed much more frequently. The EntityStore can grow quite
large and raw performance is less of a concern. Using a memory based storage
implementation (heap
or memcached
) for the MetaStore is strongly advised,
while a disk based storage implementation (file
) is often satisfactory for
the EntityStore and uses much less memory.
Storage Configuration
The MetaStore and EntityStore used for a particular request is determined by
inspecting the rack-cache.metastore
and rack-cache.entitystore
Rack env
variables. The value of these variables is a URI that identifies the storage
type and location (URI formats are documented in the following section).
The heap:/
storage is assumed if either storage type is not explicitly
provided. This storage type has significant drawbacks for most types of
deployments so explicit configuration is advised.
The default metastore and entitystore values can be specified when the Rack::Cache object is added to the Rack middleware pipeline as follows:
use Rack::Cache,
:metastore => 'file:/var/cache/rack/meta',
:entitystore => 'file:/var/cache/rack/body'
Alternatively, the rack-cache.metastore
and rack-cache.entitystore
variables may be set in the Rack environment by an upstream component.
Storage Implementations
Rack::Cache includes meta and entity storage implementations backed by local process memory (“heap storage”), the file system (“disk storage”), and memcached. This section includes information on configuring Rack::Cache to use a specific storage implementation as well as pros and cons of each.
Heap Storage
Uses local process memory to store cached entries.
use Rack::Cache,
:metastore => 'heap:/',
:entitystore => 'heap:/'
The heap storage backend is simple, fast, and mostly useless. All cache information is stored in each backend application’s local process memory (using a normal Hash, in fact), which means that data cached under one backend is invisible to all other backends. This leads to low cache hit rates and excessive memory use, the magnitude of which is a function of the number of backends in use. Further, the heap storage provides no mechanism for purging unused entries so memory use is guaranteed to exceed that available, given enough time and utilization.
Use of heap storage is recommended only for testing purposes or for very simple/single-backend deployment scenarios where the number of resources served is small and well understood.
Disk Storage
Stores cached entries on the filesystem.
use Rack::Cache,
:metastore => 'file:/var/cache/rack/meta',
:entitystore => 'file:/var/cache/rack/body'
The URI may specify an absolute, relative, or home-rooted path:
file:/storage/path
– absolute path to storage directory.file:storage/path
– relative path to storage directory, rooted at the process’s current working directory (Dir.pwd
).file:~user/storage/path
– path to storage directory, rooted at the specified user’s home directory.file:~/storage/path
– path to storage directory, rooted at the current user’s home directory.
File system storage is simple, requires no special daemons or libraries, has a tiny memory footprint, and allows multiple backends to share a single cache; it is one of the slower storage implementations, however. Its use is recommended in cases where memory is limited or in environments where more complex storage backends (i.e., memcached) are not available. In many cases, it may be acceptable (and even optimal) to use file system storage for the entitystore and a more performant storage implementation (i.e. memcached) for the metastore.
NOTE: When both the metastore and entitystore are configured to use file system storage, they should be set to different paths to prevent any chance of collision.
Memcached Storage
Stores cached entries in a remote memcached instance.
use Rack::Cache,
:metastore => 'memcached://localhost:11211/meta',
:entitystore => 'memcached://localhost:11211/body'
The URI must specify the host and port of a remote memcached daemon. The path portion is an optional (but recommended) namespace that is prepended to each cache key.
The memcached storage backend requires either the dalli
or memcached
libraries. By default, the dalli
library is used; require the memcached
library explicitly to use it instead.
gem install dalli
Memcached storage is reasonably fast and allows multiple backends to share a single cache. It is also the only storage implementation that allows the cache to reside somewhere other than the local machine. The memcached daemon stores all data in local process memory so using it for the entitystore can result in heavy memory usage. It is by far the best option for the metastore in deployments with multiple backend application processes since it allows the cache to be properly distributed and provides fast access to the meta-information required to perform cache logic. Memcached is considerably more complex than the other storage implementations, requiring a separate daemon process and extra libraries. Still, its use is recommended in all cases where you can get away with it.


Northside's Mission
Northside Hospital is committed to the health and wellness of our community. As such, we dedicate ourselves to being a center of excellence in providing high-quality health care.
We pledge compassionate support, personal guidance and uncompromising standards to our patients in their journeys toward health of body and mind. To ensure innovative and
unsurpassed care for our patients, we are dedicated to maintaining our position as regional leaders in select medical specialties. And to enhance the wellness of our community,
we commit ourselves to providing a diverse array of educational and outreach programs.
Our Values
Northside’s outstanding reputation in its industry is fueled by an instinctive devotion to a unique set of values. This statement of values defines and communicates those guiding,
motivating philosophies that have led us to distinction:
~ Excellence
~ Compassion
~ Community
~ Service
~ Teamwork
~ Progress and Innovation
Interns perform a wide range of duties for many different departments. Some of these duties include:
1. Writing articles and taking photos for hospital physician, employee and consumer publications
2. Writing and distributing press releases
3. Designing fliers, postcards, invitations, etc. for hospital events and programs
4. Planning and implementing special events (community seminars, races/walks, etc.)
5. Assisting media on campus & coordinating media logistics 6. Working with printers and other vendors Position Requirements
1. Junior or Senior Public Relations, Journalism or Communications majors or recent graduates preferred.
2. Candidates must have good academic performance.
3. Excellent written and oral skills.
4. Experience using PageMaker or Quark applications is a must. Productivity Management
5. Junior or Senior Engineering major.
6. Candidates must have good academic performance.
7. Knowledge of Microsoft Office products.
8. Strong mathematical skills and ability to work with formulas in Excel.
9. Excellent written and verbal communication skills.
Unpaid.
None.


Energy-minimized molecular simulation snapshots of ( a) PVA: CAR; ( b) PVA: CAR: tetracycline hydrochloride; ( c) PVA: CAR: gentamicin sulfate; ( d) PVA: CAR: amoxicillin (the PVA C-C chains are colored in purple, and the antibiotic molecules are designated in each case with space-filling calotte models).


demo.py shows how to
use most of the CAVEutil functions as well as the InterpolActor
class.
In particular it loads a background scene, creates a set of
Smart Lights that automatically adjust themselves with the scale
of the scene, and then loads in a bunch of objects that move and
scale under interpolation. Additional CAVEutil code for getting
and attaching objects to one's wand and head are demonstrated.
waypointdemo.py is a
simple demo to show how to use InterpolActor to interpolate
between CAVE waypoints
Drive around the scene
in the CAVE and press the DOWN DPAD to record a waypoint
location. An unlimited number of waypoints can be created.
To play back the sequence, press the UP DPAD.
Once a set of waypoints
has been created you can save them to a file by pressing the 'd'
key.
When you restart the program you can press the 'r' key to read
all the waypoints back.
flipbookdemo.py loads 3
objects into the scene, a fractal, a light saber and a targeting
cursor (i.e. the same objects used in the previous demos) and
plays them back as if each object is a frame of an animation.
You can control the Flipbook Actor with member functions such as
play(), stop(), loop(), setFrameRate(), setCurrentFrame(),
hideAllFrames().


{% extends "base.html" %} {% load bootstrap4 %} {% block title %}Likert Scale Creation{% endblock %} {% block content %}
Likert questions will be displayed with 5 options, ranging from "strongly agree" to "strongly disagree." Format your question accordingly, or you may use the Multiple Choice question type to customize a Likert style question.


{% ckan_extends %} {# Remove 'free extras' from the package form. If you're using convert_to/from_extras() as we are with our 'custom_text' field below then you need to remove free extras from the form, or editing your custom field won't work. #} {% block custom_fields %} {% endblock %} {% block package_metadata_fields %}


The readxl package makes it easy to get data out of Excel and into R. Compared to many of the existing packages (e.g. gdata, xlsx, xlsReadWrite) readxl has no external dependencies, so it’s easy to install and use on all operating systems. It is designed to work with tabular data.
readxl supports both the legacy .xls
format and the modern xml-based .xlsx
format. The libxls C library is used to support .xls
, which abstracts away many of the complexities of the underlying binary format. To parse .xlsx
, we use the RapidXML C++ library.
The easiest way to install the latest released version from CRAN is to install the whole tidyverse.
NOTE: you will still need to load readxl explicitly, because it is not a core tidyverse package loaded via library(tidyverse)
.
Alternatively, install just readxl from CRAN:
Or install the development version from GitHub:
readxl includes several example files, which we use throughout the documentation. Use the helper readxl_example()
with no arguments to list them or call it with an example filename to get the path.
readxl_example()
#> [1] "clippy.xls" "clippy.xlsx" "datasets.xls" "datasets.xlsx"
#> [5] "deaths.xls" "deaths.xlsx" "geometry.xls" "geometry.xlsx"
#> [9] "type-me.xls" "type-me.xlsx"
readxl_example("clippy.xls")
#> [1] "/Users/jenny/resources/R/library/readxl/extdata/clippy.xls"
read_excel()
reads both xls and xlsx files and detects the format from the extension.
xlsx_example <- readxl_example("datasets.xlsx")
read_excel(xlsx_example)
#> # A tibble: 150 x 5
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <dbl> <dbl> <dbl> <dbl> <chr>
#> 1 5.10 3.50 1.40 0.200 setosa
#> 2 4.90 3.00 1.40 0.200 setosa
#> 3 4.70 3.20 1.30 0.200 setosa
#> # ... with 147 more rows
xls_example <- readxl_example("datasets.xls")
read_excel(xls_example)
#> # A tibble: 150 x 5
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <dbl> <dbl> <dbl> <dbl> <chr>
#> 1 5.10 3.50 1.40 0.200 setosa
#> 2 4.90 3.00 1.40 0.200 setosa
#> 3 4.70 3.20 1.30 0.200 setosa
#> # ... with 147 more rows
List the sheet names with excel_sheets()
.
Specify a worksheet by name or number.
read_excel(xlsx_example, sheet = "chickwts")
#> # A tibble: 71 x 2
#> weight feed
#> <dbl> <chr>
#> 1 179. horsebean
#> 2 160. horsebean
#> 3 136. horsebean
#> # ... with 68 more rows
read_excel(xls_example, sheet = 4)
#> # A tibble: 1,000 x 5
#> lat long depth mag stations
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 -20.4 182. 562. 4.80 41.
#> 2 -20.6 181. 650. 4.20 15.
#> 3 -26.0 184. 42. 5.40 43.
#> # ... with 997 more rows
There are various ways to control which cells are read. You can even specify the sheet here, if providing an Excel-style cell range.
read_excel(xlsx_example, n_max = 3)
#> # A tibble: 3 x 5
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <dbl> <dbl> <dbl> <dbl> <chr>
#> 1 5.10 3.50 1.40 0.200 setosa
#> 2 4.90 3.00 1.40 0.200 setosa
#> 3 4.70 3.20 1.30 0.200 setosa
read_excel(xlsx_example, range = "C1:E4")
#> # A tibble: 3 x 3
#> Petal.Length Petal.Width Species
#> <dbl> <dbl> <chr>
#> 1 1.40 0.200 setosa
#> 2 1.40 0.200 setosa
#> 3 1.30 0.200 setosa
read_excel(xlsx_example, range = cell_rows(1:4))
#> # A tibble: 3 x 5
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <dbl> <dbl> <dbl> <dbl> <chr>
#> 1 5.10 3.50 1.40 0.200 setosa
#> 2 4.90 3.00 1.40 0.200 setosa
#> 3 4.70 3.20 1.30 0.200 setosa
read_excel(xlsx_example, range = cell_cols("B:D"))
#> # A tibble: 150 x 3
#> Sepal.Width Petal.Length Petal.Width
#> <dbl> <dbl> <dbl>
#> 1 3.50 1.40 0.200
#> 2 3.00 1.40 0.200
#> 3 3.20 1.30 0.200
#> # ... with 147 more rows
read_excel(xlsx_example, range = "mtcars!B1:D5")
#> # A tibble: 4 x 3
#> cyl disp hp
#> <dbl> <dbl> <dbl>
#> 1 6. 160. 110.
#> 2 6. 160. 110.
#> 3 4. 108. 93.
#> # ... with 1 more row
If NA
s are represented by something other than blank cells, set the na
argument.
read_excel(xlsx_example, na = "setosa")
#> # A tibble: 150 x 5
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> <dbl> <dbl> <dbl> <dbl> <chr>
#> 1 5.10 3.50 1.40 0.200 <NA>
#> 2 4.90 3.00 1.40 0.200 <NA>
#> 3 4.70 3.20 1.30 0.200 <NA>
#> # ... with 147 more rows
If you are new to the tidyverse conventions for data import, you may want to consult the data import chapter in R for Data Science. readxl will become increasingly consistent with other packages, such as readr.
You can find more detail in these articles:
No external dependency on, e.g., Java or Perl.
Re-encodes non-ASCII characters to UTF-8.
Loads datetimes into POSIXct columns. Both Windows (1900) and Mac (1904) date specifications are processed correctly.
Discovers the minimal data rectangle and returns that, by default. User can exert more control with range
, skip
, and n_max
.
Column names and types are determined from the data in the sheet, by default. User can also supply via col_names
and col_types
.
Returns a tibble, i.e. a data frame with an additional tbl_df
class. Among other things, this provide nicer printing.
Here are some other packages with functionality that is complementary to readxl and that also avoid a Java dependency.
Writing Excel files: The example files datasets.xlsx
and datasets.xls
were created with the help of openxlsx (and Excel). openxlsx provides “a high level interface to writing, styling and editing worksheets”.
l <- list(iris = iris, mtcars = mtcars, chickwts = chickwts, quakes = quakes)
openxlsx::write.xlsx(l, file = "inst/extdata/datasets.xlsx")
writexl is a new option in this space, first released on CRAN in August 2017. It’s a portable and lightweight way to export a data frame to xlsx, based on libxlsxwriter. It is much more minimalistic than openxlsx, but on simple examples, appears to be about twice as fast and to write smaller files.
Non-tabular data and formatting: tidyxl is focused on importing awkward and non-tabular data from Excel. It also “exposes cell content, position and formatting in a tidy structure for further manipulation”.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.


Code using operator assignment is shorter and may be clearer.
Example:
x = x + 3;
x = x / 3;
After the quick fix is applied:
x += 3;
x /= 3;
Use the Ignore conditional operators option to ignore &&
and ||
. Replacing conditional operators with operator
assignment would change the evaluation from lazy to eager, which may change the semantics of the expression.
Use the Ignore obscure operators option to ignore ^
and %
, which are less known.


Each of the Berkeley DB subsystems within an environment is described by one or more regions, or chunks of memory. The regions contain all of the per-process and per-thread shared information (including mutexes), that comprise a Berkeley DB environment. These regions are created in one of three types of memory, depending on the flags specified to the DB_ENV->open() method:
If the DB_PRIVATE flag is specified to the
DB_ENV->open() method, regions are created in per-process
heap memory; that is, memory returned by
malloc
(3).
If this flag is specified, then you cannot open more than a single handle for the environment. For example, if both a server application and Berkeley DB utilities (for example, the db_archive utility, the db_checkpoint utility or the db_stat utility) are expected to access the environment, the DB_PRIVATE flag should not be specified because the second attempt to open the environment will fail.
If the DB_SYSTEM_MEM flag is specified to DB_ENV->open(), shared regions are created in system memory rather than files. This is an alternative mechanism for sharing the Berkeley DB environment among multiple processes and multiple threads within processes.
The system memory used by Berkeley DB is potentially useful past the lifetime of any particular process. Therefore, additional cleanup may be necessary after an application fails because there may be no way for Berkeley DB to ensure that system resources backing the shared memory regions are returned to the system. DB_ENV->remove() can be called to free up system resources when the shared memory regions are not used any more.
The system memory that is used is
architecture-dependent. For example, on systems
supporting X/Open-style shared memory interfaces, such
as UNIX systems, the shmget
(2) and
related System V IPC interfaces are used.
Additionally, VxWorks systems use system memory. In
these cases, an initial segment ID must be specified
by the application to ensure that applications do not
overwrite each other's database environments, so that
the number of segments created does not grow without
bounds. See the DB_ENV->set_shm_key() method for more
information.
On Windows platforms, the use of the DB_SYSTEM_MEM flag is problematic because the operating system uses reference counting to clean up shared objects in the paging file automatically. In addition, the default access permissions for shared objects are different from files, which may cause problems when an environment is accessed by multiple processes running as different users. See the Windows Notes section in the Berkeley DB Installation and Build Guide for more information.
Any files created in the filesystem to back the regions are created in the directory set by calling DB_ENV->set_region_dir(). If no region directory is set then the files are created in the environment home directory specified to the DB_ENV->open() call. These files are named __db.### (for example, __db.001, __db.002 and so on). When region files are backed by the filesystem, one file per region is created. When region files are backed by system memory, a single file will still be created because there must be a well-known name in the filesystem so that multiple processes can locate the system shared memory that is being used by the environment.
Statistics about the shared memory regions in the environment can be displayed using the -e option to the db_stat utility.


Pinecone Wreath
$85
Meet Magnolia: we're all about the home. Owned by Chip and Joanna Gaines from HGTV's Fixer Upper, we're a small town business deep in the heart of Texas inspiring folks from all walks of life to take ownership of their spaces & create value where they're planted.
LEARN MORE ➤
When we started working on a design concept for the Chapman home, I liked that Brittany and Andrew loved the traditional style, but didn't want it to be too formal. They wanted their home to be a comfortable, welcoming and space...
LEARN MORE ➤


54 Comma-Separated Values Spreadsheet and database programs generally offer the option to export their data as CSV (comma-separated values lists. You can import these ﬁles into Snap ! and turn them into tables (lists of lists), and you can export tables in CSV format. Snap ! recognizes a CSV ﬁle by the extension .csv in its ﬁlename. A CSV ﬁle has one line per table row, with the ﬁelds separated by commas within a row: John,Lennon,rhythm guitar Paul,McCartney,bass guitar George,Harrison,lead guitar Ringo,Starr,drums Here’s what the corresponding table looks like: Here’s how to read a spreadsheet into Snap ! : 1. Make a variable with a watcher on stage: 2. Right-click on the watcher and choose the “import” option. (If the variable’s value is already a list, be sure to click on the outside border of the watcher; there is a different menu if you click on the list itself.) Select the ﬁle with your csv data. 3. There is no 3; that’s it! Snap ! will notice that the name of the ﬁle you’re importing is something.csv and will turn the text into a list of lists automatically. Or, even easier, just drag and drop the ﬁle from your desktop onto the Snap ! window, and Snap ! will automatically create a variable named after the ﬁle and import the data into it. If you actually want to import the raw CSV data into a variable, either change the ﬁle extension to .txt before loading it, or choose “raw data” instead of “import” in the watcher menu. If you want to export a list, put a variable watcher containing the list on the stage, right-click its border, and choose “Export.” (Don’t right-click an item instead of the border; that gives a different menu.) Multi-dimensional lists and JSON CSV format is easy to read, but works only for one- or two-dimensional lists. If you have a list of lists of lists, Snap ! will instead export your list as a JSON (JavaScript Object Notation) ﬁle. I modiﬁed my list: and then exported again, getting this ﬁle: [["John","Lennon","rhythm guitar"],[["James","Paul"],"McCartney","bass guitar"],["George","Harrison","lead guitar"],["Ringo","Starr","drums"]] You can also import lists, including tables, from a .json ﬁle. (And you can import plain text from a .txt ﬁle.) Drag and drop works for these formats also. table view list view


Nuts & Bolts - The Garage Store
Car & Bike Care
Made Easy
ONE STOP SHOP
DOORSTEP SERVICE
INSTANT COST ESTIMATE
ABOUT US
Nuts & Bolts is India's first standardized network of workshops to provide car services. We provide affordable, transparent and convenient on-demand car services at the comfort of your home or your office. With expert mechanics, state-of-the-art machinery, top quality spares, standardized processes & pricing, Nuts & Bolts provides a uniform service experience to all its customers, across its workshops. Everything under one-roof : servicing, repairs, inspections, denting/painting, roadside assistance and car care.
Nuts & Bolts provides best online car service in Bangalore making car maintenance easy, affordable and completely transparent. We also provide you with the best car service deals. Full car service is faciliated at one of the Nuts & Bolts car service centre. So book car service now!
NUTS & BOLTS ADVANTAGE
4000 +
Vehicles Serviced
30 +
Workshops


Rackspace Private Cloud powered by VMware User Guide¶
Rackspace Private Cloud powered by VMware (RPC-VMware) is a single-tenant private cloud that enables you to conveniently transition or extend your on-premises VMware workloads into the hosted VMware environment at Rackspace. It is built on top of the same VMware virtualization and software-defined technologies that you use in your data centers: VMware vSphere®, NSX™, vSAN™, and the vRealize® Suite.
This guide is your primary resource for information related to RPC-VMware, such as getting started, using, working with add-on components, and getting help.
Note
If you copy the contents of this example index file, do not
include the code-block
directive.
Example RST table of contents:
.. toctree::
:maxdepth: 1
common/common-front.rst
overview/index.rst
installing/index.rst
getting-started/index.rst
using/index.rst
administering/index.rst
api.rst
support/index.rst
common/common-end.rst


Main Page
|
Modules
|
Globals
Robix Nexway Library Modules
Here is a list of all modules:
NexwayLib Defines
Robix Error Codes
NexwayLib Functions
Library Initialization
Library Version and Error Descriptions
Nexway Functions
Nexus Functions
Usbor Functions
Pod Functions
Servo Functions
Digout Functions
Sensor Functions
Camera Functions
Generated on Tue Mar 1 19:23:58 2005 for Robix Nexway Library by
1.4.1


{%load static%}
RONAK ELECTRICALS was started in the year 1998 and then started business in this field and now it is distributor of many brands like ABM INSTRUMENT, LEO ,BK DEEPAK and SONTUNE.
{{company.Company_name}}


Status changed from:
% for content, type_ in old_labels: ${ content } % endfor
to
% for content, type_ in new_labels: ${ content } % endfor


Table of Contents
Configuring the PostgreSQL™ server for SSL is covered in the main documentation, so it will not be repeated here. There are also instructions in the source certdir Before trying to access your SSL enabled server from Java, make sure you can get to it via psql. You should see output like the following if you have established a SSL connection.
$ ./bin/psql -h localhost -U postgres
psql (9.6.2)
SSL connection (protocol: TLSv1.2, cipher: ECDHE-RSA-AES256-GCM-SHA384, bits: 256, compression: off)
Type "help" for help.
postgres=#


---
title: Dependencies and prerequisites
---
#Dependencies and prerequisites
VRaptor 4 depends directly on CDI, so it will work only in servers that support the version used, or higher.
JDK 1.7 or higher is also mandatory. If you're using JDK 1.8, please read this section.
The Application Servers already supported and tested are:
* Glassfish 4
* WildFly 8
And Servlet Containers supported are:
* Tomcat 8 and 9 (+ Weld jars)
* Jetty 8 and 9 (+ Weld jars)
To use the mentioned Servlet Containers its also necessary to add
Weld jars and the following listener to your `web.xml` file to activate CDI:
~~~
#!xml
org.jboss.weld.environment.servlet.Listener
~~~
And the `beans.xml` file located under your `WEB-INF` (which is optional in case of
Application Servers) with this content:
~~~
#!xml
~~~
Some dependencies may differ between applications running in an Application Server
or a Servlet Container. Dependencies from Java EE specification, such as CDI or
Bean Validation, are not required if you are using an Application Server.
# JDK 8
It's possible to use JDK 8 with VRaptor, but is necessary to use the latest
version of Javassist dependency because the previous versions don't support
Java 8 bytecode (note that starting from VRaptor-4.0.1 this is already the
default dependency):
~~~
#!xml
org.javassist
javassist
3.18.1-GA
~~~
**Note**: If you are using Wildfly, try to use 8.1+ versions, because Javassist
is already provided by the server. So even defining the dependency in your
application, it won't be used by the application. If you can't update to 8.1+,
an alternative is to update the module directly in the server.
You may also need to add the VRaptor Java 8 plugin to your project.
## Maven
VRaptor 4 uses Maven to manage its dependencies. So to add VRaptor to your
project, all you need to do is add the following dependency:
~~~
#!xml
br.com.caelum
vraptor
<%= Maven.vraptor_version %>
~~~
The structure of a project based on Maven is different than the conventional
structure used by most IDEs. However, when a project is packaged, Maven
will build its structure as a WAR:
| Maven Path | Description | Path in the WAR file
| src/main/java | Java sources | /WEB-INF/classes
| src/main/resources | configuration files | /WEB-INF/classes
| src/main/webapp | web files | /
| src/test/java | Java test sources | - ignored -
| src/test/resources | configuration files for testing | - ignored -
{: .content-table}
If you don't want to use Maven (or any build tool integrated with Maven
repositories), you can create a project in your prefered IDE and add
VRaptor's jar and its dependencies. All the required jars to use VRaptor are
available in a `zip` file in our downloads page.
### CDI
This is the most important dependency of VRaptor 4. If you're using an Application Server, that already includes this dependency, you don't need to declare it again in your `pom.xml`.
If you are using a Servlet Container (such as Tomcat or Jetty), you need to add the reference implementation of CDI: Weld.
~~~
#!xml
org.jboss.weld.servlet
weld-servlet-core
3.0.4.Final
weld-jsf
org.jboss.weld.module
weld-probe-core
org.jboss.weld.probe
org.jboss.weld
weld-core-impl
3.0.4.Final
~~~
**Warning**: avoid using the artifact `org.jboss.weld.servlet:weld-servlet`.
because contains a lot of unecessary classes to boot a VRaptor
application. Particularly, this artifact contains a **copy** of whole guava
code, which is already a dependency of VRaptor. This may cause several
conflicts between classes of this two artifacts (which can cause typical
classloader problems such as `NoSuchMethodError`s).
## Logging
We use SLF4J (Simple Logging Facade for Java) to log internal events. SLF4J can
redirect log messages to several other logging libraries such as NOP, Simple,
log4j and JDK Logging. To configure logging you must add to your classpath the
jar `slf4j-api.jar` and also the binding jar of the library of your choice. See more
about this topic at SLF4J
official docs.
Most projects choose **log4j** to implement logging. In case you
want to use it, you need to add the following dependency:
~~~
#!xml
org.slf4j
slf4j-log4j12
1.7.5
~~~
And you should also include a configuration file named `log4j.xml` in the
`src/main/resources` directory, for example:
~~~
#!xml
~~~
**Notice:** If you is deploying you application into Wildfly, you need to
configure logging in the `standalone.xml` file (or in `domain.xml` if
you is running in domain mode):
~~~
#!xml
~~~
But if you want to use configuration inside your application, you can
tell to Wildfly to read this configuration from your deployment:
~~~
#!xml
~~~
## XStream and Gson
XStream and Gson are used to serialize/deserialize XML and JSON
respectively. Both libraries are optional, so if you don't need to use
serializing/deserializing capabilities, you can exclude those dependencies,
since it's already included as default.
This is the XStream dependency:
~~~
#!xml
com.thoughtworks.xstream
xstream
1.4.10
~~~
And this is the Gson dependency:
~~~
#!xml
com.google.code.gson
gson
2.8.5
~~~
## Bean Validation
If you use an Application Server, it's not necessary to add *Bean Validation*
dependency because it's already bundled with Java EE 7. But if you are using a
Servlet Container, it's required to add a implemetation, such as *Hibernate
Validator*, to your project:
~~~
#!xml
org.hibernate
hibernate-validator-cdi
5.1.1.Final
~~~
This dependency is mandatory when running in a Servlet Container because
VRaptor uses the Bean Validation API in the `Validator` class.
It's also required to indicate CDI to do not validate methods automatically.
To do that, add the file `META-INF/validation.xml` with the following content:
~~~
#!xml
~~~
## Paranamer
Sadly, before Java 8, it was impossible to use reflection to get parameter's
names from methods or constructors, because this information was not available in
the bytecode (unless the code is compiled in **debug mode**, which is
optional). Because of this, most of the frameworks that need this kind of
information usually create a custom annotation to store parameters names. In
JAX-WS, for example, it's common to find a resource method such as `void add
(@WebParam(name="customer") Customer customer)`.
VRaptor use the Paranamer
framework which is capable of extracting parameters information through pre
compilation of your code or from debug bytecode, avoiding the use of
annotations. Some of VRaptor's developers are also contributors of Paranamer.
It is worth mentioning that if you pack your
war file with version lower than 2.8 you may have problem with converts as per
example:
java.lang.IllegalStateException: Converter class br.com.caelum.vraptor.converter.ByteConverter
~~~
#!xml
com.thoughtworks.paranamer
paranamer
2.8
org.mockito
mockito-all
~~~
## Commons-fileupload
This is an optional dependency required only if your application use file
uploading:
~~~
#!xml
commons-fileupload
commons-fileupload
1.3.3
~~~
Note that if you are not using any maven-compatible build tool you also need
to add `commons-io` library to the classpath.
## Iogi
**Iogi** is a library used internally in VRaptor to inject http request
parameters. Iogi is responsible for building the beans that you receive in
controller methods. The great benefit of Iogi is that it is capable of
building imutable classes, without the need of **setters**. Iogi is also capable
of building your beans trough setters.
Iogi is a mandatory dependency and it's already included when you add VRaptor
dependency.
## Mirror
[Mirror](http://projetos.vidageek.net/mirror/mirror/) is a library to ease the
use of Reflection, providing a fluent interface to the original API. Mirror is
used internally to intantiate objects. It is a mandatory dependency and is
already included when you add VRaptor dependency to your project.


Description
Located in File: /vendors/swiftMailer/classes/Swift/Mime/SimpleMimeEntity.php
A MIME entity, in a multipart message.
Classes extended from Swift_Mime_SimpleMimeEntity:
- Swift_Mime_Attachment
- An attachment, in a multipart message.
- Swift_Mime_MimePart
- A MIME part, in a multipart message.
Method Detail
Summary:
void
setBody
(
mixed $body, [
string $contentType =
null])
void
setChildren
(
$children, [
int $compoundLevel =
null])
Destructor __destruct (line 788)
void __destruct(
)
Empties it's own contents from the cache.
Info
Method charsetChanged (line 421)
void charsetChanged(
string
$charset)
Overridden in child classes as:
- Swift_Mime_MimePart::charsetChanged()
- Receive notification that the charset has changed on this document, or a parent document.
Implementation of:
- Swift_Mime_CharsetObserver::charsetChanged()
- Notify this observer that the entity's charset has changed.
Receive notification that the charset of this entity, or a parent entity has changed.
Parameters
Info
Method encoderChanged (line 431)
Receive notification that the encoder of this entity or a parent entity has changed.
Parameters
Info
Method generateId (line 122)
string generateId(
)
Generate a new Content-ID or Message-ID for this MIME entity.
Info
Method getBody (line 337)
string getBody(
)
Implementation of:
- Swift_Mime_MimeEntity::getBody()
- Get the body content of this entity as a string.
Get the body of this entity as a string.
Info
Method getBoundary (line 395)
string getBoundary(
)
Get the boundary used to separate children in this entity.
Info
Method getChildren (line 247)
array getChildren(
)
Implementation of:
- Swift_Mime_MimeEntity::getChildren()
- Get all children nested inside this entity.
Get all children added to this entity.
Info
- return - of Swift_Mime_Entity
- access - public
Method getContentType (line 155)
string getContentType(
)
Implementation of:
- Swift_Mime_MimeEntity::getContentType()
- Get the qualified content-type of this mime entity.
Get the Content-type of this entity.
Info
Method getDescription (line 204)
string getDescription(
)
Get the description of this entity.
This value comes from the Content-Description header if set.
Info
Method getEncoder (line 369)
Get the encoder used for the body of this entity.
Info
Method getId (line 178)
string getId(
)
Implementation of:
- Swift_Mime_MimeEntity::getId()
- Returns a unique ID for this entity.
Get the CID of this entity.
The CID will only be present in headers if a Content-ID header is present.
Info
Method getMaxLineLength (line 227)
int getMaxLineLength(
)
Get the maximum line length of the body of this entity.
Info
Method setBoundary (line 409)
void setBoundary(
string
$boundary)
Set the boundary used to separate children in this entity.
Parameters
Info
- throws - Swift_RfcComplianceException
- access - public
Method setChildren (line 257)
void setChildren(
$children, [int
$compoundLevel = null])
Implementation of:
- Swift_Mime_MimeEntity::setChildren()
- Set all children nested inside this entity.
Set all children of this entity.
Parameters
- array $children: Swiift_Mime_Entity instances
- int $compoundLevel: For internal use only
Info
Method setContentType (line 164)
void setContentType(
string
$type)
Set the Content-type of this entity.
Parameters
Info
Method setDescription (line 214)
void setDescription(
string
$description)
Set the description of this entity.
This method sets a value in the Content-ID header.
Parameters
Info
Method setEncoder (line 378)
Set the encoder used for the body of this entity.
Parameters
Info
Method setId (line 189)
void setId(
string
$id)
Set the CID of this entity.
Parameters
Info
Method setMaxLineLength (line 237)
void setMaxLineLength(
int
$length)
Set the maximum line length of lines in this body.
Though not enforced by the library, lines should not exceed 1000 chars.
Parameters
Info
Method _clearCache (line 640)
void _clearCache(
)
Empty the KeyCache for this entity.
Info
Method _fixHeaders (line 613)
void _fixHeaders(
)
Overridden in child classes as:
- Swift_Mime_MimePart::_fixHeaders()
- Fix the content-type and encoding of this entity
Re-evaluate what content type and encoding should be used on this entity.
Info
Method _getCache (line 632)
void _getCache(
)
Get the KeyCache used in this entity.
Info
Method _getHeaderFieldModel (line 559)
void _getHeaderFieldModel(
$field)
Get the model data (usually an array or a string) for $field.
Parameters
Info
Method _getHeaderParameter (line 586)
void _getHeaderParameter(
$field,
$parameter)
Get the parameter value of $parameter on $field header.
Parameters
Info
Method _setHeaderFieldModel (line 570)
void _setHeaderFieldModel(
$field,
$model)
Set the model data for $field.
Parameters
Info
Method _setHeaderParameter (line 597)
void _setHeaderParameter(
$field,
$parameter,
$value)
Set the parameter value of $parameter on $field header.
Parameters
- $field:
- $parameter:
- $value:
Info
Method __toString (line 481)
string __toString(
)
Overridden in child classes as:
- Swift_Mime_SimpleMessage::__toString()
- Returns a string representation of this object.
Returns a string representation of this object.
Info


This inspection highlights deprecated HTML tags and provides ability to replace them with CSS or with other tags for some of them.


I am a 4th year UCSD undergraduate. I major in computer science and have interests in both data management and web development.


Created by Andy Trigg
How should we model our domain?
What features will we need in the future?
How will our company pivot?
What database flavour will fit best?
Many schema based strategies represent 1 possible interpretation of the data at a given time
Often lose the intrinisc meaning of the data.
Lose the data it self as a result of the schema.
Some times we want to know how we got into this state?
Every change to the state of the application is captured as a domain event
These events are stored sequentially and become our source of truth
The events can be queried
We can use the past events to reconstrate state at any time
Domain event captures everything we possible can know about an event
Shamelessly borrowed from Martin Fowler
With Event Sourcing
We can discard the application state completely and rebuild it by re-running the events from the event log on an empty application.
We can determine the application state at any point in time. Notionally we do this by starting with a blank state and rerunning the events up to a particular time or event. We can take this further by considering multiple time-lines (analogous to branching in a version control system).
If we find a past event was incorrect, we can compute the consequences by reversing it and later events and then replaying the new event and later events. (Or indeed by throwing away the application state and replaying all events with the correct event in sequence.) The same technique can handle events received in the wrong sequence - a common problem with systems that communicate with asynchronous messaging.
External updates?
External queries?
Supporting code changes that impact events?
Event versioning
Event upcasting
General Data Protection Regulation (GDPR)
Audit Log
Debugging complex scenarios... How did we get into this state?
Foundation for...
Raises interesting possibilities for highly scaleable archecture ('event-driven architecture')
Where next?


clipConvexPolyhedronHP
PURPOSE
CLIPCONVEXPOLYHEDRONHP clip a convex polyhedron by a plane
SYNOPSIS
function [nodes2 faces2] = clipConvexPolyhedronHP(nodes, faces, plane)
DESCRIPTION
CROSS-REFERENCE INFORMATION
This function calls:
- angleSort3d ANGLESORT3D sort 3D coplanar points according to their angles in plane
- clipConvexPolygon3dHP CLIPCONVEXPOLYGON3DHP clip a convex 3D polygon with Half-space
- isBelowPlane ISBELOWPLANE test whether a point is below or above a plane
This function is called by:
Generated on Fri 05-Feb-2010 11:20:41 by m2html © 2003


The first argument of the `$location#search()` call must be a string or an object.
To resolve this error, ensure that the first argument for the $location.search
call is a string
or an object.
You can use the stack trace associated with this error to identify the call site that caused this issue.
To learn more, please consult the $location
api docs.


Movie search
AMDB (Animal Movie DataBase) allows you to make a movie search given an animal keyword. Try it out!
You are searching for movies starring:
{{animalName}}
-
{{movie.title}} ({{movie.year}}) - {{movie.plot}}
Debug area
animalName: {{animalName}}


A TIME TO KILL A film review by Michael Redman Copyright 1996 Michael Redman
*** (out of ****)
Strongly reminiscent of "To Kill A Mockingbird", this is an incongruent combination of riveting performances, a controversial topic, compelling tear-jerking, one dimensional characters and overly simplistic political statements. The film is based on John Grisman's first novel, and feels much like the rest of his books turned films ("The Firm", "Pelican Brief", "The Client").
A young black girl is brutally raped, beaten and left for dead by two southern rednecks. Arrested and lead through the courthouse, they are gunned down by the girl's father, Carl Lee Hailey (Samuel L. Jackson) who has learned they would probably be released in less than 10 years because she is black and they are white. The remainder of the two-and-a-half hour film features his trial and the question of whether a black man can get a fair trial in Mississippi with an all-white jury. Hailey's white lawyer Jake Brigance is played by Matthew McConaughey, Hollywood's latest instant star and the focus of the film. In a twist, this particular golden boy's hype is justified and he is one of the high points of the movie. Aided by his alcoholic mentor (Donald Sutherland), sleazy buddy (Oliver Platt) and sexy plucky northern legal aide (Sandra Bullock); Brigance sets out to find a way out of what looks like a no-win situation.
The film addresses heavy questions concerning racism in a bizarre mix of some very human situations and a few cartoonish scenes. Jackson gives a great performance in his talks with McConaughey concerning his view of black and white relations. Contrast this with the caricature of the self-serving NAACP representatives and the cinematic short-cut of white racism as evidenced by the KKK, both of which are peopled by cardboard characters.
The acting and casting are also a mixed bag. Jackson and McConaughey are notable in their roles. Bullock, a personal unfavorite, turns in one of her better performances (faint praise indeed), but for a strong female role, she is sure dressed as if she=B9s fulfilling the babe role. It=B9s entertaining to see Donald Sutherland on one side and son Keifer on the other, but they are both one-note characters. Sutherland The Younger is a KKK member in yet another of his (surprise!) psycho roles.
Platt has a fascinating screen presence and could have contributed much to the film, but is casted in a throwaway role. There are far too many characters who clutter up the story and could have been dropped from the movie without affecting the story at all.
The strong acting makes up for the film's flaws, but leaves you wondering how it would have worked if the rest of the elements had measured up.
[This appeared in "The Bloomington Voice", Bloomington, Indiana, 8/15/96. Michael Redman can be reached at<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


You haven't added ideas yet, all we found was some otters!
To start adding ideas, simply click on the input field above, start typing, and click "Add Idea". You can also just press Enter.


WITNESS LIST Economic Development Committee February 15, 2005-10:30A Organizational Meeting On: Lehman, Jon (Texas Workforce Commission, Commissioner) Rath, Diane (Texas Workforce Commission, Chair) Temple, Larry (Texas Workforce Commission, Executive Director)


My name is Beverly Thompson. I have worked in various IT departments since I graduated from Indiana University with a BA in Mathematics and a concentration of computer science in 1985. Throughout the years I have done analysis as a means to development. Through Butler Data Analytics Bootcamp I have realized that data contains a narrative that can be unlocked with the proper tools. I utilize various tools to discover the story the data has to tell. This allows me to provide insights to add business value.
Assumed accountability for overseeing the modifications being made to the electronic remittance advice processing system. Utilized Agile SAFe Best Practices whilst working as a part of the team with a focus on processing and posting remittance payments with as little touch possible.
Provided consultative guidance and solutions whilst controlling contract programming enterprise and maintaining customer's systems. Created innovative new functions and timely resolved problems at customer's request, ensuring their utmost satisfaction. Cultivated and maintained solid working relationships with key customers, peers, and stakeholders.
Directed complex projects, involving pick development to projects and implementation of mainframe applications. Developed and implemented maintenance procedures, monitored systems health, gathered statistics, and troubleshoot reported errors. Trained users and staff members on the usage of different applications. Promoted three time from Systems Analyst II to Systems Analyst V.
Directed complex projects, involving pick development to projects and implementation of mainframe applications. Developed and implemented maintenance procedures, monitored systems health, gathered statistics, and troubleshoot reported errors. Trained users and staff members on the usage of different applications. Promoted three time from Systems Analyst II to Systems Analyst V.
Coordinated and supervised development projects. Accounts receivable, direct bill, general ledger, check writer, policy management, premium finance, and claims.
Maintained machines; supported existing software and completed requests for new functions. Trained personnel on the computer's use and function.
Supported and developed all reporting needs of the sales department.
Supported and maintained claims system. Supported accounts receivable, general ledger, and check writer systems.
D3 Times is an interactive scatterplot that contains allows the contrasting of obese percent, smokes percent and lacks healthcare percent with in poverty percent average age and average household income. The state intials are inside each cirlce and the state and the axis values are displayed when you hover over a circle.
Github RepositoryThe Belly Button Biodiversity dashboard is a website that explores the data from Belly Button Biodiversity dataset. The dashboard utilzes JavaScript, Plotly, HTML, CSS, & Bootstrap to create this interactive dashboard. It allows a testing ID to be chosen from the drop down that is pre filled with Testing IDs. Once a testing ID is chosen, the top 10 Bacteria for that testing ID is charted via a bar and a pie chart. Additionally a bubble chart of all of the sample values with the bubble size indicating the sample value and a washing frequency gauge for the chosen testing ID is included in the dashboard.
Github RepositoryUFO Finder is a web page that displays UFO data and allows the data to be filtered by entered criteria.
UFO Level 1 sitallows entry of a date. You can click on the Filter Table button or you can enter return on the date field to filter the data according to the entered date. Dates can be entered with or without leading zeros on month and day. There is also a Reset Table button that causes all data to be displayed again.
UFO Level 2 allows entry of a date, city, state, country and / or shape. You can click on the Filter Table button, enter return on any input fields, or tab to another field to filter the data according to the entered information in all of the filter fields. Dates can be entered with or without leading zeros on month and day. The other fields can be entered using either capital or small letters. There is also a Reset Table button that causes all data to be displayed again as occurs when the page originally loads.
Github RepositoryMission to Mars is a flask web application that scrapes Mars information from several sources and displays the information on an html page.
A flask application (app.py) takes the scrapped data and outputs the information. Additionaly a button is provided to perform the scrapping process again. This application can be run by executing 'python app.py' and then clicking on the http://<IP_ADDRESS>:5000/ link that appears.
Github RepositoryThis dashboard was created using visualizations previously created. HTML, CSS and Bootstrap were used to create this web site.
Github RepositoryThis analysis was performed using Python, SQLAlchemy, Pandas and Matplotlib in order to analyze climate data via exploration of a SQLite database. Also created an API with Python & Flask, based on the data queries that developed.
Github RepositoryCSV files with Employee data are loaded into a SQL Database and then data analysis is performed on the data.
Github RepositoryData from OpenWeatherMap API is utilized via a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. Additionally Google Places API and Python is utilzed to analyze the weather for a chosen vacation location.
Github RepositoryUtilizing Python, Pandas, Matplotlib, and statisic, analysis of mice drug effects on tumor development was performed.
Github Repository


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Hello there, internet traveler! You've found yourself on my personal blog! I hope you find your stay both educational and fun.
My name is Samuel McFadden. I'm a computer science student at the University of Illinois at Urbana-Champaign, with specialization in computer graphics and high-performance computing. This blog is about my experience as a student in the quickly changing field of computer graphics. The reason I'm interested in computer graphics is because it's one of the most fulfilling areas of computer science. Nothing beats seeing small children in awe at a short film that you've worked on, or letting someone experience the affects of global warming first hand through virtual reality. Computer graphics is behind it all--and I love being a part of it.
You can see some of the things that I've worked on by going to the "Resume" tab. Or, you can click on the "Interactive Web Projects" tab to see some of my WebGL projects. To see all of my other projects, please check out my Github by clicking the Github button at the bottom of the page or clicking here.
Enjoy your stay!
Samuel


Overview
Seasonal Affective Disorder affects more than 15 million people in the U.S., with women four times more likely to be diagnosed than men. At the same time, the COVID-19 pandemic makes more people live with limited social interaction and reduced sun exposure, which are leading factors that could cause/exacerbate SAD. Better Weather is a web app which helps SAD sufferers combat their symptoms with proven interventions. Through its different feature pages, users have the chance to foster connectedness & peer support, relieve stress, increase exposure to sunlight, and ultimately improve their mood.
Target Stakeholders and Users
Seasonal affective disorder (SAD) is a type of mood disorder in which people who have good mental health for the majority of the year develop depressive symptoms at the same time each year, usually in the winter. This webapp is designed to help people who suffer from SAD, no matter if they are formally diagnosed or just experiencing related symptoms and stress. In addition, people who do not have SAD are also welcome to use this web app to alleviate their mood and foster connectedness. This app may not be suitable for users with severe symptoms who need professional and immediate help.
Key Features & Benefits
Our designed solution is a functioning webapp that merges basic chat and recommendation features into a platform to make sufferers feel less alone. Besides the basic weather forecast feature, this webapp has three key feature pages:
- Travel Recommendation
- - Through recommendation algorithms, it displays to users sunnier locations to increase their light exposure & outdoor activities.
- Music Therapies
- - Many forms of music are both personally enjoyable and great anti-SAD mood tools. They are helpful in resetting people's nervous system and release tension. For this reason, we have included a series of music playlists like Binaural Beats Music, Focus Music, Healing Music and more.
- Chat Rooms
- - Chat rooms include one-on-one chat and peer-support group chat. By giving users a chance talking to similar people, we aim to facilitate connectedness, build up networks of self-help, and overall give the SAD group better coping strategies and support.
Overall, we aim to help people understand SAD and help sufferers feel validated, help sufferers feel less alone, and boost their mood. Out of all the apps that aim to tackle mental health problems, few are designed specifically for those who suffer from SAD. Furthermore, compared to pervasive weather apps on the market, our site is trying to demonstrate forecast information with more empathy using pleasing images and UI.
Demo Video
Project Status
This webapp is a designed product by Team Boba in University of Washington Information School Capstone project for Winter/Spring 2021. As of now, we have chosen to keep our app open source so that other developers in the mental health space can view and use our code in their own projects. There is not much in the way of apps for those suffering from seasonal affective disorder and we created Better Weather, first and foremost, to help people. For a detailed handoff documentation and more info, please visit our Github Page.


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Long non-coding RNA MEG3 attends to morphine-mediated autophagy of HT22 cells through modulating ERK pathway |
Gao, Shuibo; Li, Enyao; Gao, Haixia |
2019 |
2019-08-21 |
NONCOMM |
N |
PMC6713166 |
31433241.0 |
10.1080/13880209.2019.1651343 |
jwrv3e6j |
0.972718 |
|
|
| 2 |
Kurup_2003 |
Hypothalamic digoxin – central role in conscious perception, neuroimmunoendocrine integration and coordination of cellular function – relation to hemispheric dominance |
Kurup, Ravi Kumar; Kurup, Parameswara Achutha |
2003 |
2003-02-28 |
PMC |
N |
PMC7125598 |
12606243.0 |
10.1016/s0306-9877(02)00382-1 |
v6s4c50d |
0.931396 |
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Beenakker_2010 |
Patterns of muscle strength loss with age in the general population and patients with a chronic inflammatory state |
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2010 |
2010-10-31 |
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PMC7105185 |
20553969.0 |
10.1016/j.arr.2010.05.005 |
8i4kmid5 |
0.830777 |
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Fernandes_2016 |
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2016 |
2016-12-31 |
PMC |
N |
PMC7117007 |
27839549.0 |
10.1016/j.jtherbio.2016.09.010 |
x842oo6k |
0.780364 |
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| 5 |
Seltmann_2017 |
Habitat disturbance results in chronic stress and impaired health status in forest-dwelling paleotropical bats |
Seltmann, Anne; Czirják, Gábor Á.; Courtiol, Alexandre; Bernard, Henry; Struebig, Matthew J.; Voigt, Christian C. |
2017 |
2017-04-05 |
COMM-USE |
N |
PMC5388297 |
28421138.0 |
10.1093/conphys/cox020 |
tplf7fcj |
0.532108 |
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| 6 |
Parker_2016 |
Upper respiratory infection during pregnancy and neurodevelopmental outcomes among offspring |
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2016 |
2016-10-31 |
PMC |
N |
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27343815.0 |
10.1016/j.ntt.2016.06.007 |
6ku0gkde |
0.439363 |
Hong_2009, Wu_K_2005, Wu_K_2005 |
|


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