Suddenly I was very interested in EOS and wanted to be part of it. Currently, there is two way to get you hand on the EOS tokens: buy them straight from the exchanges with the market price, or participate in the EOS Token Distribution.
The first method is pretty straightforward like how you trading just for any cryptocurrency pair available on an exchange. Topup your account with the mainstream BTC or ETC, and trade with market orders with the desired price.
The second method, however, is a bit tricky and interesting. EOS Token Distribution is now at the phase that 2,000,000 EOS will be distributed every day. People can contribute ETH to the crowdfunding address and the two millions of EOS will be distributed equally base to the total contribution of that period.
With that said, the more contribution the less EOS participant can get, EOS is more expensive here. On the other hand, if we get a lesser contribution, each investor can get more EOS from the fixed amount distribution. Cheaper EOS.
The tricky part is, the contribution is real-time so no one can tell what the final total contribution will be. Things suddenly become quite a bit of gambling, and I decided to give it a try.
Let’s do it!
In this gambleexperiment, I sent 1 Ether to the EOS crowdsale address. Thing was smooth, network was low in traffic, transaction was done within minutes.
Then I start to monitor the real-time collected contribution using two useful sites. The first is the official EOS site and the second is a really useful third-party site, EOSscan.io. EOSscan provides real-time calculation of the EOS token price based on the contributed ETH.
As you can see, so far there is 7920 ETH collected and we are looking at $5.30 for a piece of EOS. Current market price for EOS on the exchanges is about $13. And we have less than two hours to close the deal.
Time is ticking, I knew the ETH will keep coming in. But so far everything looks good and I already starts to think about what to do with my cheap EOS later. Yay!
And things escalate quickly
Within two hours, total collected ETH has come to 23,566. This made the price of EOS token soared up to almost $16. Damn, my heart was just bleeding non-stop.
After the distribution period is done, I proceeded to register my ETH address and claim the EOS token. How much in total did I get in the end?
I got 80.91 EOS from the daily ICO with each token priced at $16 while the open market is trading at $12.40 according to coinmarketcap.com.
My EOS is almost $4 more expensive from the others. Such a tragedy right? Let’s see it in the real world perspective.
Let’s do some quick calculation
What if I choose to spend 1 Ether to buy EOS at Binance? How much could I get?
Let’s get the live feed price at Binance using EOS/ETH pair at 22:00 UTC+8 time which is the ending time of EOS token distribution for Period 215.
It was trading at 0.0129 EOS/ETH.
1/0.0129 = I will get 77.519379845 EOS by trading 1 Ether neglecting minor fees.
To calculate the value of each EOS in fiat, 1 Ether cost $950 at that time and the formula will be 950/77.519379845 = $12.26
Pretty close to the price at coinmarketcap.com which was $12.40.
Now what is the fiat price for EOS token I got from the ICO? 950/80.910557854999802311 = $11.74
Conclusion
- 1 Ether at open exchange can buy 77.51 EOS while EOS ICO can get you 80.91 EOS.
- EOS token in ICO Period 215 costs $11.74 yet in Binance it would cost $12.26.
- I got extra 3.4 EOS via ICO which is equivalent to $43.
- ICO is the more profitable way to get EOS than trading in the open market.
Disclaimer: Conclusion is based on the comparison at the mentioned specific time only. Performance may vary. Luck is playing a big factor here.
昨晚心血来潮想入手一些 EOS。目前入手的方法有两种，一就是直接在自由市场比如 Binance 上进行交易。第二种就比较刺激有趣了，那就是参加为期一年的 EOS ICO。现在每天都有二百万的 EOS 会被发放，每个时段投资者得到多少取决于当个时段所筹到的 ETH 总数。
换言之，筹到的 ETH 越多每人可以得到的 EOS 越少，单个 EOS 的价格相对就越高。没人会知道最后会筹到多少钱，所以相比可以在市场上用明价买卖的方式，这个每天都有的 ICO 会更有赌博性质。我决定试一试。
最后得到的结论为：
- 1 ETH 在 Binance 可以买到 77.51 EOS，而通过 ICO 可以得到 80.91 EOS。
- ICO 得到的 EOS 单价为 $11.74 而 Binance 上需要花费 $12.26。
- 通过 ICO 我多赚了 3.4 EOS，等价为 $43。
- EOS ICO 比自由市场交易更为划算。
声明：这个结果只是基于特定的 ICO 时段（Period 215）和当下市场情况，不能一概而论。运气还是占了很大的部分。
This page is synchronized from the post: ‘Which way is more profitable in getting EOS, trading or ICO? 众筹和交易哪个可以得到更多 EOS’


Mamma Fado The Art of Amalia
By Ross Anthony
With an eccentric introduction by the delightfully eccentric David Byrne, this documentary spans the lifetime career of Portuguese's singing gem, Amalia Rodriguez. Born in 1920, Amalia's natural talent brought her quickly to the forefront of international music and easily held her there nearly to the end of her life in 1999.
Though dabbling in other styles, Amalia is synonymous with Fado - the Portuguese version of blues. As Amalia puts it, "Fado is Lament."
Filmed in traditional documentary style; we watch clip after clip of this vocal treasure singing her heart out with intermittent historical commentary by the English speaking narrator. From Portugal to France to Italy to the USA, the documentary opens our eyes to TV in other countries. Amalia's own remembrances captured in an interview during the last year of her life are added to the mix. She speaks in Portuguese, while subtitles flash across the screen. It's a pleasant enough recipe for a half-hour program, but looses its punch by the hour mark. Interviews with friends and loved ones would have helped.
Additionally, the program seldom delves below the surface of success. Turning the angle to explore how a "singer of the sad" handles success and stardom could have enhanced the attraction of this production. Amalia herself says, "I was never really happy. I was never a cheerful person." Her frank demeanor and obvious talent make her naturally fascinating ... but the film attends only a glossy nostalgia.
Minor suggestions: Three or four times subtitles wisp across the screen faster than the average reader can grasp. Slow them down by taking advantage of the moments when the interviewee is paused between sentences. The mention of a blues collaboration begged a sample clip, though none was offered. Lastly, the film comes to a close with only a brief footnote that Amalia had died a week before its completion. In consistent fashion, no further information is given regarding her death, leaving the audience wondering. Placing this footnote prior to the last long cut of Amalia singing, would have at least emphasized its treasure while ending the film on a sigh and a tear instead of a question mark.
Even if Fado is not your fancy, they'll be no avoiding the genuine allure of Amalia Rodrigues' fantastic voice. Recorded through inferior microphones, stored on imperfect film and out-dated tape formats, the rich tonal quality of her voice still rings resilient. She must have been absolutely chilling in person.
The Art of Amalia. Copyright © 2000. Starring Amalia Rodrigues. Narrated by John Ventimiglia. Directed by Bruno de Almeida. Written by Frank Coelho and Bruno de Almeida. Produced by Manuel Falcao at Avatar/Arco/Valentim de Carvalho TV.
Grade..........................B
-- Copyright © 2000. Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.com
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In 2015, the first change in interest rates was made in 7 years in the United States. One year later, the rates would rise once more, having expected 2 rate hikes in the year, due to fears of creating an alarm in the economy that could give a result like the one of the 2008 crisis.
In 2017, therefore, two to three rate hikes have been marked and finally there have been three rate hikes.
Donald Trump is opposed to this monetary policy and his opinion is not to alter them and devalue the dollar in order to be able to export more and not be affected by the devaluation of the Yuan. However, in the United States, the power of money is not decided by the president or the government, but by an independent body such as the Federal Reserve, which belongs to the Department of the Treasury.
Said this in the following table I show the different increases of types that have happened this year, being all of the 0.25 in order with the intentions of a progressive ascent. The president Yellen is not very appreciated by Trump and there have been several clashes in the last year although I already announced his intention to leave office.
| DATE | PORCENTAGE | 13th december 2017 | 1,50 % | 14th june 2017 | 1,25 % | 16th march 2017 | 1,00 % | 14th december 2016 | 0,75 % | 16th december 2015 | 0,50 % | 16th december 2008 | 0,250 % |
|---|
Due to the continued pace of growth in the United States, it is necessary to continue applying a rate hike according to inflation and job creation data and seeing the results will surely repeat three or four times next year.
If we look at the rises in interest rates this year we can see how before the rise has been discounted by lowering the dollar and when the rise occurs the dollar has fallen in its change with the euro and other currencies. In this case only the euro shows the graph with the dollar but the dollar index is totally correlated with the change with the euro.
The only rise where the dollar rose a posteriori was that of 2015 in which an unprecedented rise in the dollar was recorded, with the dollar almost reaching parity with the euro. Anyway, that rise was discounting enough more increases but at the end of 2018 the currency exchange is totally manipulated since after being the rates at 2% almost and without a clear evidence of when rates will rise in Europe the rebound of the euro It seems scary. More when the ECB is still printing tickets and giving it to banks in the Euro zone at an interest rate of 0%.
It will be in 2018 when the dollar will rise again against the euro and the system will be corrected again, if we look at the long-term chart
So in December of this year Yellen , the president of the FED, announced the increase of another 0.25% in the types and remarked that next year there will be 3 uploads .
The following chart shows the long-term trend of the dollar and you can see how that downward trend of the euro with the change in the dollar could change if it exceeds the line thing that at the end of 2017 is about to do. This seems unlikely so I will most likely correct and return to the first base of the channel, 1.15 points .
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Rice and Chicken,Juice
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system
Computer is an electronic machine that accepts data as an input, process the data, store the data and give out the output
as information.
Computer accepts data
which can raw files,
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[1]
HD, film quality, stills; None so far
[2]
10.2 Megapixel Stills. 12X Zoom.; No HDMI Cable. AVCHD Format.


--- layout: documentation title: EffectsType ---
Represents a list of incident effects that an incident is tagged with.
| Field Name | Type | Description |
|---|---|---|
| Effect1..n | ControlledVocabularyStringType |
Represents a single effect that this incident is tagged with. This field is implemented through the xsi:type controlled vocabulary extension mechanism. The default vocabulary type is IncidentEffectVocab-1.0 in the http://stix.mitre.org/default_vocabularies-1 namespace. This type is defined in the stix_default_vocabularies.xsd file or at the URL http://stix.mitre.org/XMLSchema/default_vocabularies/1.1.1/stix_default_vocabularies.xsd. Users may also define their own vocabulary using the type extension mechanism, specify a vocabulary name and reference using the attributes, or simply use this as a string field. |


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Drawing heavy influence from 'blscrapeR', this package scrapes crime data from <https://www.bjs.gov/>. Specifically, it scrapes data from the National Crime Victimization Survey which tracks personal and household crime in the USA. The idea is to utilize the 'tidyverse' methodology to create an efficient work flow when dealing with crime statistics.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | readr, dplyr, glue, tibble |
| Published: | 2018-06-06 |
| Author: | Dylan McDowell [aut, cre] |
| Maintainer: | Dylan McDowell <dylan.mcdowell226 at gmail.com> |
| BugReports: | https://github.com/dylanjm/bjscrapeR/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/dylanjm/bjscrapeR |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | bjscrapeR results |
| Reference manual: | bjscrapeR.pdf |
| Package source: | bjscrapeR_0.1.0.tar.gz |
| Windows binaries: | r-devel: bjscrapeR_0.1.0.zip, r-release: bjscrapeR_0.1.0.zip, r-oldrel: bjscrapeR_0.1.0.zip |
| OS X binaries: | r-release: bjscrapeR_0.1.0.tgz, r-oldrel: bjscrapeR_0.1.0.tgz |
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WITNESS LIST
Health & Human Services
June 16, 2016 9:00 AM
Charge #5: Inpatient Reform
ON:
Blain, Charlene (Self), Elmendorf, TX
Hansch, Greg Public Policy Director (National Alliance on Mental Illness (NAMI) Texas),
Austin, TX
Horton, Colleen Policy Program Officer (also providing written testimony) (Hogg
Foundation for Mental Health), Austin, TX
Kazen, Oscar Associate Judge (Bexar County Probate Court), San Antonio, TX
Lacefield Lewis, Lauren Assistant Commissioner (also providing written testimony)
(Department of State Health Services), Austin, TX
Lakey, David Chief Medical Officer (also providing written testimony) (The University of
Texas System), Austin, TX
Maples, Mike Deputy Commissioner (also providing written testimony) (Department of
State Health Services), Austin, TX
Yanas, Christine Director, Govt. Affairs (also providing written testimony) (Methodist
Healthcare Ministries), San Antonio, TX
Providing written testimony:
ON:
Hawkins, John Senior Vice President of Government Relations (Texas Hospital
Association), Austin, TX
Charge #6: Diversion and Capacity
ON:
Blain, Charlene (Self), Elmendorf, TX
Glazier, Stephen Chief Operating Officer (also providing written testimony) (The
University of Texas Health Science Center at Houston Harris County Psychiatric Center),
Houston, TX
Gonzales, Gilbert Department Director (Bexar County Mental Health Department), San
Antonio, TX
Hansch, Greg Public Policy Director (National Alliance on Mental Illness (NAMI) Texas),
Austin, TX
Hicks, Regenia Director (also providing written testimony) (Harris County Mental Health
Jail Diversion Program), Houston, TX
Johnson, Lee Deputy Director (also providing written testimony) (Texas Council of
Community Centers), Austin, TX
Kazen, Oscar Associate Judge (Bexar County Probate Court), San Antonio, TX
Keller, Andy President and CEO (also providing written testimony) (Meadows Mental
Health Policy Institute), Dallas, TX
Lacefield Lewis, Lauren Assistant Commissioner (also providing written testimony)
(Department of State Health Services), Austin, TX
Lewis, Kathryn Attorney (also providing written testimony) (Disability Rights Texas),
Austin, TX
Lozito, Michael Judicial Services Director (also providing written testimony) (Bexar
County), San Antonio, TX
Maples, Mike Deputy Commissioner (also providing written testimony) (Department of
State Health Services), Austin, TX
WITNESS LIST
Health & Human Services
June 16, 2016 9:00 AM
Stoeltje, Mark Executive Director (also providing written testimony) (San Antonio
Clubhouse), San Antonio, TX
Taylor, Sally Chief of Behavioral Medicine (University Health System San Antonio), San
Antonio, TX
Wilson, Dennis Vice President (Sheriff's Association of Texas), Groesbeck, TX
Zamora, April Division Director (also providing written testimony) (Texas Department of
Criminal Justice), Austin, TX
Providing written testimony:
ON:
Hawkins, John Senior Vice President of Government Relations (Texas Hospital
Association), Austin, TX
Spiller, Lee Executive Director (Citizens Commission on Human Rights), Austin, TX
Charge #7: TeleMedicine
ON:
Bennett, Larry Vice President (Presence Learning), Waxhaw, NC
Davidson, John Senior Fellow (also providing written testimony) (Texas Public Policy
Foundation), Austin, TX
Hall-Barrow, Julie Vice President, Virtual Health and Innovation (also providing written
testimony) (Children's Health System of Texas), Dallas, TX
Kim, Thomas Chief Medical Officer (Texas Medical Association), Austin, TX
Lee, Gaylene President-Elect (Texas Society for Respiratory Care), San Antonio, TX
Mills, Sarah Director of State Regulatory Affairs (also providing written testimony) (Texas
Association for Home Care and Hospice), Austin, TX
Murray, Owen Vice President of Offender Health Services (also providing written
testimony) (UTMB), Galveston, TX
Philips, Billy Executive Vice President (also providing written testimony) (Texas Tech
University Health Sciences Center), Lubbock, TX
Robinson, Mari Executive Director (also providing written testimony) (Texas Medical
Board), Austin, TX
Zalkovsky, Emily Deputy Director of Policy Programs: Medicaid/CHIP (also providing
written testimony) (Health and Human Services Commission), Austin, TX
Providing written testimony:
ON:
Francis, Will Government Relations Director (National Association of Social Workers -
Texas Chapter), Austin, TX
Fredriksen, Amanda Associate State Director (AARP), Austin, TX
Vandervoort, Adam General counsel (Teladoc), Purchise, NY


--- title: 'Creating beautiful maps : shaded coastline' author: admin date: '2020-05-14' slug: shaded-coast-for-maps categories: - maps tags: [] subtitle: '' summary: '' authors: [] lastmod: '2020-05-14T17:13:12+02:00' featured: yes image: caption: '' focal_point: '' preview_only: no projects: [] output: blogdown::html_page: dev: "svg" ---
I recently tried to replicate a map published in Le Monde, a french newspaper. I will show you how I did it in a serie of 2 articles. The maps will be in French, but I don’t think these tutorials will be challenging for english speaker, and this first one will certainly not be.
Here is the original version :
Below is the reproduction using ggplot2 :
I am very fond of the way they draw coastal lines, and this will be the subject of this article.
We will be using two geospatials datasets :
We will be using France legal projection (Lambert-93) so we start by transforming our two dataset in that projection.
library(tidyverse)
library(sf)
library(raster)
library(stars)
library(here)
land <- st_read(here("static/inputs/info_fub/ne_10m_admin_0_countries/ne_10m_admin_0_countries.shp")) %>%
filter(CONTINENT == "Europe") %>%
st_transform(2154)
## Reading layer `ne_10m_admin_0_countries' from data source `D:\Users\Alexis\Documents\Data\r-blog\static\inputs\info_fub\ne_10m_admin_0_countries\ne_10m_admin_0_countries.shp' using driver `ESRI Shapefile'
## Simple feature collection with 255 features and 94 fields
## geometry type: MULTIPOLYGON
## dimension: XY
## bbox: xmin: -180 ymin: -90 xmax: 180 ymax: 83.6341
## geographic CRS: WGS 84
#france
france <- st_read(here("static/inputs/info_fub/departements-version-simplifiee.geojson")) %>%
st_transform(2154) %>%
st_union()
## Reading layer `departements-version-simplifiee' from data source `D:\Users\Alexis\Documents\Data\r-blog\static\inputs\info_fub\departements-version-simplifiee.geojson' using driver `GeoJSON'
## Simple feature collection with 96 features and 2 fields
## geometry type: MULTIPOLYGON
## dimension: XY
## bbox: xmin: -5.103601 ymin: 41.36705 xmax: 9.559721 ymax: 51.0884
## geographic CRS: WGS 84
We will be using France map and through trial and error figuring out the right map area. We extract the bbox from France and then adjust it until it seems right. We need some room in the west, nort and south. In east Corsica already give us some room to work with.
bbox <- france %>%
st_bbox() + c(-100000, -180000, 12000, 180000)
bbox <- bbox %>%
st_as_sfc()
ggplot() +
geom_sf(data = bbox) +
geom_sf(data = france)
Next we want to take our world map, and filter it to keep only area we care about. In the process we transform the sf object in sfc objects using st_geometry().
The first operation is to remove Sardinia, it is very close to Corsica and we don’t need it. To do so we only keep the largest polygon of Italy.
italy <- land %>%
filter(SOVEREIGNT == "Italy") %>%
st_cast("POLYGON") %>%
filter(st_area(geometry) == max(st_area(geometry))) %>%
st_geometry()
We want countries that will appear in our final map and that have a coast. We also add Andorra, to avoid a hole between France and Spain.
land_no_sardinia <- land %>%
filter(SOVEREIGNT != "Italy") %>%
st_geometry() %>%
c(italy)
Really simple operations using st_cast() to transform polygons to lines. Then we only keep the coastlines that are within the bounding box we have defined.
coast <- land_no_sardinia %>%
st_union() %>%
st_cast("MULTILINESTRING") %>%
st_intersection(bbox)
ggplot() +
geom_sf(data = coast)
We use st_buffer to create an area around the coastline. The we intersect that area with our land data to remove the part of the data which is in the sea.
coast_buffer <- coast %>%
st_buffer(dist = 30000) %>%
st_intersection(land) %>%
st_as_sf()
ggplot() +
geom_sf(data = coast_buffer)
coast_raster <- raster(st_as_sf(coast_buffer),
nrows = 1000,
ncols = 1000) %>%
distanceFromPoints(st_cast(coast, "POINT") %>%
st_coordinates())
plot(coast_raster)
plot(mask(coast_raster, coast_buffer))
coast_stars <- coast_raster %>%
mask(st_as_sf(coast_buffer)) %>%
crop(st_as_sf(bbox)) %>%
st_as_stars()
ggplot() +
geom_stars(data = coast_stars,
interpolate = TRUE) +
scale_fill_gradient(low = "lightgrey", high = "white", na.value = NA) +
coord_sf(expand = FALSE,
crs = 2154) +
theme_void() +
theme(legend.position = "none")
We can save our spatial object in a file for later use.
write_stars(coast_stars,
"static/inputs/info_fub/shaded_coast_raster")


const ( CHANNELREADERS = policies.ChannelApplicationReaders CHANNELWRITERS = policies.ChannelApplicationWriters )
type ACLProvider interface { //CheckACL checks the ACL for the resource for the channel using the //idinfo. idinfo is an object such as SignedProposal from which an //id can be extracted for testing against a policy CheckACL(resName string, channelID string, idinfo interface{}) error }
func NewACLProvider(rg ResourceGetter) ACLProvider
ACLProvider consists of two providers, supplied one and a default one (1.0 ACL management using ChannelReaders and ChannelWriters). If supplied provider is nil, a resource based ACL provider is created.
func NewDefaultACLProvider() ACLProvider
InvalidIdInfo
type InvalidIdInfo string
func (e InvalidIdInfo) Error() string
PolicyNotFound cache for resource
type PolicyNotFound string
func (e PolicyNotFound) Error() string
resource getter gets channelconfig.Resources given channel ID
type ResourceGetter func(channelID string) channelconfig.Resources


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Training Location: {{ @SESSION.training_info['location'] }}
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NAMI Connection Recovery Support Groups are:
A peer-based mutual support groups that meet weekly for 90 minutes of
safe, confidential, personal sharing in a flexible group setting. Groups are open to any adult living with a mental illness or
a psychiatric condition and willing to share with others confidentially in an atmosphere of respect, encouragement, and
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Prospective facilitators must have a documented mental health diagnosis and be
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Connection co-facilitator applicants must agree to co-facilitate a support group meeting in their community for a period
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and the affiliate. Key personal attributes for Facilitators are reliability, empathy, and the ability to communicate clearly.
An ability to interpret group members’ non-verbal communication is important.
Facilitators work in pairs to facilitate their weekly groups. They assist and support each other. Each should feel able to
lead the group alone if their co-facilitator is temporarily unavailable. Facilitators also cooperate in preparing a resource
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require single occupancy, arrangements will need to be made prior to attendance by the attendee
and there will be additional costs which will be the responsibility of the attendee.
Attending NAMI trainings is by pre-registration only. Space is limited, and a waiting
list will be created if necessary. Applicants will have a brief telephone interview with
the trainers before final acceptance into the training and the State
office will fill the class based on the critical needs of affiliates.
In order to reserve a space a $50 refundable deposit from
your affiliate will be required upon registration.
If you need to cancel after being
accepted, notify the NAMI Washington staff, no later than a week before the training so
we can fill your spot, or your affiliate will lose its $50 registration deposit.
Cancelled spots are filled with applications from the waiting list for the
class, not by sending another affiliate member.
Ready to start the application?
Start


2 Kings 23:20
And he slew all the priests of the high places that were there upon the altars, and burned men's bones upon them, and returned to Jerusalem.


Terminology
This section explains the meaning of various terms used in relation to MiStaMover.
- Daemon
- Running MiStaMover as a daemon process will continue to scan incoming directory and then transfer the files/directories found. It will repeat this until the process is interrupted.
- Data Stream
- A data stream is the set of files and/or directories that are found in the Source Directory on the local host that are moved or mirrored to the target host.
- Move
- To move a file/directory is a three-stage process: (1) the file/directory is copied to the target host; (2) the success of the delivery is verified and (3) the source copy is deleted.
- Mirror
- The mirroring of a file/directory on the local host involves duplicating it exactly on the target host.
- MiStaMover Service
- The MiStaMover tool running as a service managed by an administrator to support scientific users.
- One-off
- Running MiStaMover as a one-off process will scan each data stream incoming directory only once, transfer the files/directories found, and then exit.
- Source Host
- The source host is the local server on which the MiStaMover process is running: monitoring incoming directories and moving or mirroring the contents to a target host.
- Target Host
- The target host is the remote server that the source host makes contact with and either moves or mirrors files to.
- Transfer Mode
- The transfer mode can be set in the configuration files as either move or mirror.
- Incoming
- The directory where files are received to
- Outgoing
- The directory where files are pushed from


A bit about me
I enjoy playing all kinds of games, from video games to tabletop games.
I am a tea addict; my favorite goes back and forth between honey and yogurt green tea.
I graduated with a B.S. in Mathematics from UCSD, but don’t ask me to do arithmetic.
I am an aspiring web developer.


Feel free to start a conversation with anyone & discover progressively how they look like!
You can download our app on Android & iPhone devices!
(Sorry Windows phone users)
We're based on the conversation, so be polite to be part of our community!
Naturally our app is totally free to use and doesn't contain adds!
Most of the people who have tried us recommand us rather another dating app!


README
XML Multi-Language Protocol Generator (XMLPG) is described here.
XMLPG generates Java and C++ language protocol implementations from an
abstract description of the protocol in XML. This release includes an
example partial implementation of the Distributed Interactive
Simulation (DIS) protocol.
Making use of XMLPG is typically a multi-step process. First of all,
you need to write an XML file that describes the protocol. An example
of this XML file is in the DIS directory, in the file DIS.xml. This
file is used as input to the XMLPG program, which uses it to generate
Java and C++ language implementations of the protocol. These language
files need to be compiled themselves to generate a usable protocol.
Compiling
The XMLPG system uses the Ant make system, available from Apache.org. The file build.xml
contains several targets for both compiling the basic XMLPG system and
compiling the source code that is generated by XMLPG. From the command
line, and assuming that the ant executable is on the path, you can
cause the targets to execute by typing ant
<targetName>. A list of some of the targets is below:
- compile: Compiles the XMLPG program itself
- run: Runs the XMLPG program with an input XML file and the path
to two directories where the Java and C++ source code will be placed.
Generates Java and C++ source code that implements the protocol defined
in the XML file. The input file used in the build.xml file is the
DIS.xml file, which describes the DIS protocol.
- dist: default task, does most operations.
Once the code is generated you should cd to the DIS directory, where a
separate build file is responsible for compiling the generated code.
License
XMLPG is released under the BSD license. See License.html
for details.


Amazon Cognito IdentityPool CognitoStreams
CognitoStreams
is a property of the AWS::Cognito::IdentityPool
resource that defines configuration options for Amazon Cognito streams.
Syntax
JSON
{ "RoleArn" :
String
, "StreamingStatus" :String
, "StreamName" :String
}
YAML
RoleArn:
String
StreamingStatus:String
StreamName:String
Properties
RoleArn
-
The Amazon Resource Name (ARN) of the role Amazon Cognito can assume to publish to the stream. This role must grant access to Amazon Cognito (cognito-sync) to invoke
PutRecord
on your Amazon Cognito stream.Type: String
Required: No
StreamingStatus
-
Status of the Cognito streams. Valid values are:
ENABLED
orDISABLED
.Type: String
Required: No
StreamName
-
The name of the Amazon Cognito stream to receive updates. This stream must be in the developer's account and in the same region as the identity pool.
Type: String
Required: No


What an INTENSE Feeling...
| DOSE: T+ 0:00 |
2.5 g |
oral |
Mushrooms |
(dried) |
| T+ 3:30 |
5 hits |
smoked |
Cannabis |
(plant material) |
First of all, excuse me for my bad english. I'm a french canadian from Québec city, more precisely from St-Georges.
- Around October 1st, 2002 - 20h
One evening, my 3 best friends and I decided to make a mushroom trip. We were in an isolated place ( a municipal park, 20h ... nobody around. There's so many paths really long and several falls. Heaven on earth...)
We have took each one 2.5 grams of mushroom. We left the entrance to walk while waiting for the trip arrives. Approximately 45 minutes later, my friends were already in a advanced state, and I was not feeling almost anything at this time.
We walked to a cliff, where there was a very solid suspended bridge ( with a very big ramp each side ). I was looking at my friends during their trip and I envied them terribly. I had some effects during this moment... overflowing energy, certain confusion, little change in colors perception ( LITTLE ), feeling to be superhuman, but no philosophy trip / nothing mental.
23h30. We came back to our starting point. They had finished their trip and I thought that mine was too. One of my friend brang his pipe and his weed. (it is a terribly strong species of weed. I often smoked it and I know very well the effects ) I've took 5 breaths very very deep, one after the other, at the limit of the endurance of my throat. I feel the effect instantaneously. I leaned myself on an iron post as this '/' (It was a pillar of a swing... Don't forget that we were in a municipal park.)
Suddenly, I felt I were BECOMING the post. My legs were already rolled up around, and my arms too. We were only one entity ( I think that my mushroom digestion was delayed, and by leaning my belly on the cold post, I accelerated my digestion ). I had to use all the resources that it remains me as a human to be able to release the post. Once made, I looked around me. All was as in a dream. Textures were as if there were colored grass on each thing in the park.
I said to my friends: 'I believe that I have my trip of mush NOW!!!!!!'. They looked at me, full of wonder, while laughing out loud. But it was just the beginning... all happened very quickly. During 1 minute I saw all my world with multicoloured texture, the following minute the effect increased dramatically. Then I said to my friend that I was not feeling very well. They looked at me, astonished. The next minute I felt be weak at the knees. I had serious difficulty to remain on my feets, I had cold sweats in my back, sweat on the face, hands moist, no more force. My vision started to drop. I did not see any more except one small circle (approximately 20 inches at 3 feet from the face ).
Two of my friends with whom I often smoke understood that I was really bad tripping. They took me, each one by the arm and sat me on the ground. I started to feel an intense buzz in the center of my brain. You know the feeling that we get when we're about to lose consciousness ( all is black, sweat... ) ? I felt that so extremely that I let myself go. At my great surprise I continued to trip more and more powerfully.  My conscience had been disconnected. I had no more consciousness, except by my eyes. I was no more thinking...... a real zombie.
After approximately 5 minutes according to my friends, I was raised upright. It was like a little trip of mushroom. We left the place by car ( sooooooooooooooooo fuckin GREAT!!!!! ) Listening to the newest Disturbed album. My friends were hungry, so we went to has pizza restorant. My trip was still very high. The waitress looked at us so often... !! It was soooo funny :) !!! I ate my first slice at a tremendous speed. A few minutes later, I started to feel bad again. Guess what ! With the arrival of the pizza in my stomach, I, once again, had an intense trip like a few minutes ago... IN THE RESTORANT! I've been able to stay sitted, so the waitress didn't see me... i think...
After 1h hour it ends. ( 01h00 ). I cannot explain what happened to me...
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


EmailMeForm - Online Survey & Form Builder has created this privacy policy in order to demonstrate our firm commitment to the confidentiality of user data.  Our priority is to ensure that your transaction is secure, the data you provide to us is protected, and that your privacy is respected. We take this responsibility very seriously.
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The Math.sqrt()
function returns the square root of a number, that is
Math.sqrt(x)
x
If the value of x
is negative, Math.sqrt()
returns NaN.
Because sqrt()
is a static method of Math
, you always use it as Math.sqrt()
, rather than as a method of a Math
object you created (Math
is not a constructor).
Math.sqrt()
Math.sqrt(9); // 3 Math.sqrt(2); // 1.414213562373095 Math.sqrt(1); // 1 Math.sqrt(0); // 0 Math.sqrt(-1); // NaN
Created by Mozilla Contributors, license: CC-BY-SA 2.5


Solid-OIDC
The Editor's draft of the Solid-OIDC specification is located at
https://solid.github.io/solid-oidc/


I am a Software Engineering student at the University of Waterloo. I enjoy solving difficult problems and participating in contests. In high school, I self-taught C++ using internet resources and used it to write various programming contests. I was ranked top 20 in Canada in the Canadian Computing Competition and received Bronze Medal in the Canadian Computing Olympiad. The thrill of solving a difficult problem motivates and drives me to take on more challenging and ambitious tasks. In my free time, I enjoy playing the Saxophone (mostly Jazz), watching Netflix, and playing League of Legends.


See all GO-CAMs produced by {{ userMeta?.name }} open_in_new
info the following three sections list the GO-CAMs, Biological Processes and Gene Products {{ userMeta?.name }} has worked on


One could be motivated by the fact that it would be easy to cheat and they could be worried about loosing points for having the wrong data. This is analogous to when someone gives the option to submit html and you are really tempted to embed bohemian rhapsody by the Muppets with autoplay enabled but you instead leave autoplay turned off.


Gulf Cup draw: Defending champions Oman in Group B
by Times News ServiceMuscat: Defending champions Oman will face Saudi Arabia, Kuwait and Bahrain in Group B, as the draw for the 24th edition of Arabian Gulf Cup was held in Doha on Thursday.
The regional showpiece event will be held from November 26 to December 8
A statement issued online by Oman Football Association (OFA) said: “Our first national team is in Group B with Saudi Arabia, Kuwait and Bahrain teams in the draw for the 24th Gulf Cup in Qatar 2019.”
“The other four teams — Qatar, UAE, Yemen and Iraq are in Group A,” OFA said.
Originally, only Oman as winners of the 2018 edition, Iraq, Yemen and Kuwait had agreed to play in the tournament. But on Tuesday, Saudi Arabia, UAE and Bahrain confirmed their participation that forced the organisers to conduct a re-draw.


Darwin Core Translations
|
The Darwin Core is meant to serve a global community. Access to the documents describing the standard in multiple languages will facilitate open access and global adoption. This page is meant to be an index to all translations of Darwin Core documents. Anyone interested in providing translations to be hosted with the corpus of the standard should contact the Darwin Core Task Group [DWC-TASK].
Copyright 2009 - Biodiversity Information Standards - TDWG - Contact Us
Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution 3.0 United States License.


Secured policy driven Calculator web service and client developed using Metro web service stack. Contains both client and service, client needs to authenticate with service using Username authentication.
Note: the example requires to register an instance of Java EE 6 application server(GlassFish V3).


Answer a few questions to figure out which programming language you should learn
Do you enjoy designing websites?
Do want to focus on front end work or back end work?
Would you like to work on mobile applications?
Do you want to create interactive web applications?
Do you want to work for a large enterprise/the government, or would you prefer to work in a start up environment?


<% function hello(who) { return “Hello” + who; } %> This is an example of EJS (embedded javascript)
The program says <%= hello(“world”) %>.
Mode for html embedded scripts like JSP and ASP.NET. Depends on HtmlMixed which in turn depends on JavaScript, CSS and XML.
Other dependancies include those of the scriping language chosen.
MIME types defined: application/x-aspx
(ASP.NET), application/x-ejs
(Embedded Javascript), application/x-jsp
(JavaServer Pages)


Index
DNP Curriculum Committee Discussion
(
Last updated: January 2020
)
Digital Scholarship in 2020
(
Last updated: January 2020
)
Introductory Reveal.js Workshop
(
Last updated: December 2019
)


My system stopped recording last night, its been up ad running for only a week or so.
The raspi is no longer connecting to the network or the emoncld. Have checked cables and even swapped the Pi for a spare i had with no joy.
Is it likely for the SD card to have failed, as I have never seen it happen and it would be a little unusual. it is however the only thing i am unable to test? I could rebuild the card but thought I would ask before going to the trouble.
Re: Raspi/SD card problem?
Welcome to the club Ian!!
2 of my SD cards did exactly the same within a matter of weeks, so I moved my RootFS to a USB HDD and have had no problems since.
It's strange that some forum members don't appear to have a problem with failing SD cards, whilst others are blighted.
Paul
Re: Raspi/SD card problem?

My solution is an iSCSI disk on my QNAP NAS running 24/7, rather easy to implement the software following
http://elinux.org/RPi_iSCSI_Initiator
Now my emoncms is running on a Pi that boots once from SD card and writes and reads all data to and from the iSCSI drive.
For me it is the perfect solution
khs
Re: Raspi/SD card problem?
Plus one, or rather two...
I have had 2 SD cards corrupt in the last month. The first lasted 5 months and the second corrupted yesterday, following a sudo reboot, after only 4 weeks.
Like Paul I will be changing my set-up, but as I am running on a headless, wifi model A my options are limited. Didn't think SD cards would be the big ticket cost for a raspi set-up...
Bob
Re: Raspi/SD card problem?
iSCSI sounds like a great option, I pretty much don't like attaching a USB hard drive to the Raspberry Pi. The downside is that it is pretty complicated to set it up for most of the Pi users
Re: Raspi/SD card problem?
What's the problem with USB HDD's?
Mine was easy to set up, and performs reliably.
Paul
Re: Raspi/SD card problem?
purely aesthetical :)
Re: Raspi/SD card problem?
I'll agree with that!
Paul
Re: Raspi/SD card problem?
And it adds another 3w to the consumption total ... I know it's not much but ... If you already have some hard disks spinning for other reasons in the house ....


Toggle navigation
GAS Power Calculator
Home
(current)
About
Tutorial
Reference
Inputs
Sample Size
Cases
Controls
Study Design
Significance Level
Disease Model (Multiplicative)
Prevalence
Disease Allele Frequency
Genotype Relative Risk
Graph
Statistical Power vs.
Cases
Controls
Significance level
Prevalence
Disease Allele Frequency
Genotype Relative Risk
Results
Expected
power
for a one-stage study
0.995
Expected disease allele frequency
Cases
0.600
Controls
0.489
Probability of disease
Genotype A/A [with frequency
0.250
]
0.144
Genotype A/B [with frequency
0.500
]
0.096
Genotype B/B [with frequency
0.250
]
0.064
© 2016
Jennifer Li Johnson
|
University of Michigan


| Constituency Name | Candidate Vote Share | Leading Candidate Name | Leading Candidate Party | Counting Status | Leader's vote share |
|---|---|---|---|---|---|
| {{result.constituency_name}} | {{result.candidate_votes*100/(result.candidate_votes+result.other_votes)|number:1}}% | {{result.leader_name|titlecase}} | {{result.leader_party_name|titlecase}} | {{result.counting_status}} | {{result.leader_count*100/(result.candidate_votes+result.other_votes)|number:1}}% |
| Constituency Name | Candidate Vote Share | Winning Candidate Name | Winning Candidate Party | Winner's vote share |
|---|---|---|---|---|
| {{result2.constituency_name}} | {{result2.candidate_votes*100/(result2.candidate_votes+result2.other_votes)|number:1}}% | {{result2.winner_name|titlecase}} | {{result2.winner_party_name|titlecase}} | {{result2.winner_count*100/(result2.candidate_votes+result2.other_votes)|number:1}}% |


Crude Oil prices are expected to trade lower today: Angel Broking
According to Angel Broking, Crude Oil On Tuesday, WTI Crude prices ended lower by 0.11 percent to close at $56.8 per barrel.
by Broker ResearchAngel Broking's report on Crude Oil
Crude Oil On Tuesday, WTI Crude prices ended lower by 0.11 percent to close at $56.8 per barrel. Prices have been under pressure as uncertainties around the 16-month long trade war between the United States and China sapped the demand prospects for oil. Prices were further pressurized over a consecutive build up in the U.S. Crude inventory levels. U.S. President Donald Trump stated that they were nearing a trade deal with China; however, lack of information on the same weighed on the outlook of the global economic growth and pushed the prices lower.
Outlook
Weak economic data posted by China amid fading optimism over a possible trade deal between U.S. & China might weigh on Crude prices. On the MCX, oil prices are expected to trade lower today; international markets are trading lower by 0.12 percent at $56.73 per barrel.
For all commodities report, click here
Disclaimer: The views and investment tips expressed by investment experts/broking houses/rating agencies on moneycontrol.com are their own, and not that of the website or its management. Moneycontrol.com advises users to check with certified experts before taking any investment decisions.
Get access to India's fastest growing financial subscriptions service Moneycontrol Pro for as little as Rs 599 for first year. Use the code "GETPRO". Moneycontrol Pro offers you all the information you need for wealth creation including actionable investment ideas, independent research and insights & analysis For more information, check out the Moneycontrol website or mobile app.


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.AppConfig @import models.request.AuthenticatedRequest @import models.{ExpertAdviceReceived, Event} @import views.html.partials.progressive_disclosure @(index: Int, event: Event)(implicit request: AuthenticatedRequest[_], messages: Messages, appConfig: AppConfig) @content(body: ExpertAdviceReceived) = {
@body.comment
} @defining(event.details.asInstanceOf[ExpertAdviceReceived]) { body: ExpertAdviceReceived => @progressive_disclosure( id = s"activity-events-row-$index", summary = s"Expert advice received", body = Some(content(body)) ) }


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Tweetable is a lightweight jQuery plugin that enables you to display your twitter feed on your site quickly and easily.
or return to blog


The following document contains the results of Checkstyle 8.29 with sun_checks.xml ruleset.
| Files | Info | Warnings | Errors |
|---|---|---|---|
| 4 | 0 | 0 | 121 |
| Category | Rule | Violations | Severity |
|---|---|---|---|
| blocks | NeedBraces | 10 | Error |
| coding | HiddenField | 4 | Error |
| MagicNumber | 13 | Error | |
| SimplifyBooleanExpression | 1 | Error | |
| design | DesignForExtension | 5 | Error |
| HideUtilityClassConstructor | 2 | Error | |
| VisibilityModifier | 1 | Error | |
| javadoc | JavadocPackage | 2 | Error |
| JavadocVariable | 7 | Error | |
| MissingJavadocMethod | 10 | Error | |
| misc | FinalParameters | 31 | Error |
| NewlineAtEndOfFile | 2 | Error | |
| modifier | ModifierOrder | 1 | Error |
| naming | ConstantName | 1 | Error |
| sizes | LineLength
|
25 | Error |
| whitespace | GenericWhitespace | 6 | Error |
| Severity | Category | Rule | Message | Line |
|---|---|---|---|---|
| Error | javadoc | JavadocPackage | Missing package-info.java file. | 1 |
| Error | javadoc | JavadocVariable | Missing a Javadoc comment. | 32 |
| Error | javadoc | JavadocVariable | Missing a Javadoc comment. | 33 |
| Error | javadoc | MissingJavadocMethod | Missing a Javadoc comment. | 35 |
| Error | misc | FinalParameters | Parameter unaryEdgeDeltaY should be final. | 35 |
| Error | coding | HiddenField | 'unaryEdgeDeltaY' hides a field. | 35 |
| Error | misc | FinalParameters | Parameter bgColor should be final. | 35 |
| Error | coding | HiddenField | 'bgColor' hides a field. | 35 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 98). | 40 |
| Error | design | DesignForExtension | Class 'MyEdgeLabelRenderer' looks like designed for extension (can be subclassed), but the method 'prepareRenderer' does not have javadoc that explains how to do that safely. If class is not designed for extension consider making the class 'MyEdgeLabelRenderer' final or making the method 'prepareRenderer' static/final/abstract/empty, or adding allowed annotation for the method. | 40 |
| Error | javadoc | MissingJavadocMethod | Missing a Javadoc comment. | 40 |
| Error | misc | FinalParameters | Parameter rc should be final. | 40 |
| Error | misc | FinalParameters | Parameter graphLabelRenderer should be final. | 40 |
| Error | misc | FinalParameters | Parameter value should be final. | 41 |
| Error | misc | FinalParameters | Parameter isSelected should be final. | 41 |
| Error | misc | FinalParameters | Parameter edge should be final. | 41 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 96). | 42 |
| Error | whitespace | GenericWhitespace | '>' is followed by whitespace. | 42 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 82). | 43 |
| Error | design | DesignForExtension | Class 'MyEdgeLabelRenderer' looks like designed for extension (can be subclassed), but the method 'labelEdge' does not have javadoc that explains how to do that safely. If class is not designed for extension consider making the class 'MyEdgeLabelRenderer' final or making the method 'labelEdge' static/final/abstract/empty, or adding allowed annotation for the method. | 46 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 91). | 47 |
| Error | misc | FinalParameters | Parameter rc should be final. | 47 |
| Error | misc | FinalParameters | Parameter layout should be final. | 47 |
| Error | misc | FinalParameters | Parameter e should be final. | 47 |
| Error | misc | FinalParameters | Parameter label should be final. | 47 |
| Error | blocks | NeedBraces | 'if' construct must use '{}'s. | 48 |
| Error | blocks | NeedBraces | 'if' construct must use '{}'s. | 56 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 96). | 56 |
| Error | whitespace | GenericWhitespace | '>' is followed by whitespace. | 56 |
| Error | blocks | NeedBraces | 'if' construct must use '{}'s. | 59 |
| Error | whitespace | GenericWhitespace | '>' is followed by whitespace. | 60 |
| Error | whitespace | GenericWhitespace | '>' is followed by whitespace. | 62 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 85). | 80 |
| Error | whitespace | GenericWhitespace | '>' is followed by whitespace. | 80 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 81). | 86 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 83). | 88 |
| Error | whitespace | GenericWhitespace | '>' is followed by whitespace. | 94 |
| Severity | Category | Rule | Message | Line |
|---|---|---|---|---|
| Error | design | HideUtilityClassConstructor | Utility classes should not have a public or default constructor. | 19 |
| Error | javadoc | MissingJavadocMethod | Missing a Javadoc comment. | 21 |
| Error | misc | FinalParameters | Parameter panel should be final. | 21 |
| Error | misc | FinalParameters | Parameter file should be final. | 21 |
| Error | javadoc | MissingJavadocMethod | Missing a Javadoc comment. | 31 |
| Error | misc | FinalParameters | Parameter panel should be final. | 31 |
| Error | misc | FinalParameters | Parameter os should be final. | 31 |
| Error | javadoc | MissingJavadocMethod | Missing a Javadoc comment. | 46 |
| Error | blocks | NeedBraces | 'if' construct must use '{}'s. | 51 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 87). | 51 |
| Error | blocks | NeedBraces | 'else' construct must use '{}'s. | 53 |
| Error | misc | FinalParameters | Parameter pg should be final. | 58 |
| Error | misc | FinalParameters | Parameter pf should be final. | 58 |
| Error | misc | FinalParameters | Parameter pageNum should be final. | 58 |
| Error | blocks | NeedBraces | 'if' construct must use '{}'s. | 59 |
| Error | blocks | NeedBraces | 'if' construct must use '{}'s. | 83 |
| Error | coding | SimplifyBooleanExpression | Expression can be simplified. | 83 |
| Severity | Category | Rule | Message | Line |
|---|---|---|---|---|
| Error | misc | NewlineAtEndOfFile | File does not end with a newline. | 1 |
| Error | javadoc | JavadocVariable | Missing a Javadoc comment. | 42 |
| Error | javadoc | JavadocVariable | Missing a Javadoc comment. | 43 |
| Error | javadoc | JavadocVariable | Missing a Javadoc comment. | 44 |
| Error | javadoc | JavadocVariable | Missing a Javadoc comment. | 46 |
| Error | modifier | ModifierOrder | 'static' modifier out of order with the JLS suggestions. | 46 |
| Error | naming | ConstantName | Name 'state' must match pattern '^[A-Z][A-Z0-9]*(_[A-Z0-9]+)*$'. | 46 |
| Error | misc | FinalParameters | Parameter domain should be final. | 48 |
| Error | blocks | NeedBraces | 'if' construct must use '{}'s. | 49 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 88). | 50 |
| Error | design | DesignForExtension | Class 'StateDiagramViewer' looks like designed for extension (can be subclassed), but the method 'show' does not have javadoc that explains how to do that safely. If class is not designed for extension consider making the class 'StateDiagramViewer' final or making the method 'show' static/final/abstract/empty, or adding allowed annotation for the method. | 64 |
| Error | javadoc | MissingJavadocMethod | Missing a Javadoc comment. | 64 |
| Error | misc | FinalParameters | Parameter c should be final. | 64 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 96). | 68 |
| Error | coding | HiddenField | 'state' hides a field. | 68 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 96). | 72 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 87). | 73 |
| Error | coding | MagicNumber | '1000' is a magic number. | 120 |
| Error | coding | MagicNumber | '800' is a magic number. | 120 |
| Error | blocks | NeedBraces | 'if' construct must use '{}'s. | 133 |
| Error | coding | MagicNumber | '800' is a magic number. | 163 |
| Error | coding | MagicNumber | '600' is a magic number. | 163 |
| Error | javadoc | JavadocVariable | Missing a Javadoc comment. | 170 |
| Error | design | VisibilityModifier | Variable 'name' must be private and have accessor methods. | 170 |
| Error | misc | FinalParameters | Parameter name should be final. | 172 |
| Error | coding | HiddenField | 'name' hides a field. | 172 |
| Error | javadoc | MissingJavadocMethod | Missing a Javadoc comment. | 176 |
| Error | misc | FinalParameters | Parameter name should be final. | 176 |
| Error | misc | FinalParameters | Parameter graph should be final. | 186 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 99). | 187 |
| Error | coding | MagicNumber | '800' is a magic number. | 187 |
| Error | coding | MagicNumber | '600' is a magic number. | 187 |
| Error | blocks | NeedBraces | 'while' construct must use '{}'s. | 188 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 92). | 191 |
| Error | coding | MagicNumber | '800' is a magic number. | 192 |
| Error | coding | MagicNumber | '600' is a magic number. | 192 |
| Error | misc | FinalParameters | Parameter g should be final. | 197 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 94). | 209 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 83). | 211 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 94). | 212 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 98). | 213 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 85). | 214 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 82). | 215 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 91). | 216 |
| Error | coding | MagicNumber | '-10' is a magic number. | 216 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 111). | 220 |
| Error | misc | FinalParameters | Parameter layout should be final. | 227 |
| Error | coding | MagicNumber | '150' is a magic number. | 229 |
| Error | coding | MagicNumber | '5' is a magic number. | 230 |
| Error | coding | MagicNumber | '12' is a magic number. | 231 |
| Error | coding | MagicNumber | '5' is a magic number. | 232 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 90). | 233 |
| Error | misc | FinalParameters | Parameter f should be final. | 243 |
| Error | design | DesignForExtension | Class 'StateDiagramViewer' looks like designed for extension (can be subclassed), but the method 'start' does not have javadoc that explains how to do that safely. If class is not designed for extension consider making the class 'StateDiagramViewer' final or making the method 'start' static/final/abstract/empty, or adding allowed annotation for the method. | 257 |
| Error | javadoc | MissingJavadocMethod | Missing a Javadoc comment. | 257 |
| Error | misc | FinalParameters | Parameter resource should be final. | 257 |
| Error | misc | FinalParameters | Parameter domainName should be final. | 257 |
| Error | sizes | LineLength | Line is longer than 80 characters (found 82). | 258 |
| Error | design | DesignForExtension | Class 'StateDiagramViewer' looks like designed for extension (can be subclassed), but the method 'start' does not have javadoc that explains how to do that safely. If class is not designed for extension consider making the class 'StateDiagramViewer' final or making the method 'start' static/final/abstract/empty, or adding allowed annotation for the method. | 261 |
| Error | javadoc | MissingJavadocMethod | Missing a Javadoc comment. | 261 |
| Error | misc | FinalParameters | Parameter input should be final. | 261 |
| Error | misc | FinalParameters | Parameter domainName should be final. | 261 |
| Severity | Category | Rule | Message | Line |
|---|---|---|---|---|
| Error | misc | NewlineAtEndOfFile | File does not end with a newline. | 1 |
| Error | javadoc | JavadocPackage | Missing package-info.java file. | 1 |
| Error | design | HideUtilityClassConstructor | Utility classes should not have a public or default constructor. | 5 |
| Error | javadoc | MissingJavadocMethod | Missing a Javadoc comment. | 7 |
| Error | misc | FinalParameters | Parameter args should be final. | 7 |


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Hutton, Eliza
| Birth Name | Hutton, Eliza |
| Gender | female |
| Age at Death | 73 years, 1 month, 29 days |
Narrative
Marriage: All Saints CofE Bathurst, 1871.
Charles Jennings, Batchelor of Victoria, age 21, son of Joseph Jennings & Mary Nolan, Innkeeper.
Eliza Hutton, Spinster of Bathurst, age 18yrs, dau of Solomon Hutton & Frances Horricks, Carpenter.
Events
| Event | Date | Place | Description | Sources |
|---|---|---|---|---|
| Birth | 1853-11-03 | Bathurst NSW #4089 Vol 40 | ||
|
|
||||
| Death | 1927 | Granville NSW Aust #14372 | ||
|
|
Parents
| Relation to main person | Name | Birth date | Death date | Relation within this family (if not by birth) |
|---|---|---|---|---|
| Father | Hutton, Solomon | about 1816 | 1879-09-23 | |
| Mother | Horricks, Frances | about 1823 | ||
| Sister | Hutton, Charlotte | about 1845 | ||
| Brother | Hutton, William | about 1847 | ||
| Sister | Hutton, Mary Ann | 1849-09-02 | 1936-02-18 | |
| Brother | Hutton, John William | 1851-09-22 | ||
| Hutton, Eliza | 1853-11-03 | 1927 | ||
| Brother | Hutton, Francis Solomon | 1855-11-18 | 1857-02-22 | |
| Sister | Hutton, Frances | 1857-10-03 | 1871-01-05 | |
| Brother | Hutton, Alfred James | 1859-11-03 | 1870-04-16 | |
| Sister | Hutton, Alice | 1861-08-18 | 1870-05-11 | |
| Sister | Hutton, Annie Mathilda | 1863-07-20 | ||
| Sibling | Hutton, Mary & Male | 1865 | 1865 | |
| Brother | Hutton, Thomas Henry | 1866-11-16 | 1932 |
Families
Family of Jennings, Charles and Hutton, Eliza |
|||||||||||||||||||||||
| Married | Husband | Jennings, Charles ( * 1850 + 1929 ) | |||||||||||||||||||||
|
|||||||||||||||||||||||
| Children |
| Name | Birth Date | Death Date |
|---|---|---|
| Jennings, Matilda A. | 1872 | |
| Jennings, Unnamed baby | 1873 | 1873 |
| Jennings, Charles | 1874 | |
| Jennings, Unnamed Baby | 1877 | 1877 |
| Jennings, Amelia Esther | 1878 | |
| Jennings, Frances Alice | 1880 | 1881 |
| Type | Value | Notes | Sources |
|---|---|---|---|
| _UID | 5F0DB30FDC03D7119853E82F6BD093793ECB |
Attributes
| Type | Value | Notes | Sources |
|---|---|---|---|
| _UID | 09C3CA7E3901D7119853F17788EC8C780197 |


Unpivot
Converts a table -based on its column's names- to another table. The parts of the names will become values.
The column names can be changed by clicking on the preview table (only for the new (Col_n) ones).
Example usage:
Input columns:
- apple-A
- apple-B
- pear-A
- pear-B
- other1
- other2
Here are sample Patterns:
- apple-([AB])
- (apple-[AB])
- pear(-[AB])
- (apple|pear)-([AB])
- (apple|pear)-(?:[AB])
- other([12])
- (.*)e(.*)
These will result in a table with the following columns (check in the preview):
- pear-A, pear-B, other1, other2, Col_0 (you can change the name), apple-
- pear-A, pear-B, other1, other2, Col_0 (you can change the name), <empty0>
- apple-A, apple-B, other1, other2, Col_0 (you can change the name), pear
- other1, other2, Col_1 (you can change the name), Col_0 (you can change the name), -
- other1, other2, Col_0 (you can change the name), -A, -B
- apple-A, apple-B, pear-A, pear-B, Col_0 (you can change the name), other
- Col_1 (you can change the name), Col_0 (you can change the name), e
See also: sample workflow.
Dialog Options
- Pattern
- A regular expression on column names. The non-capturing group part is denoted by (?:something), the capturing group parts will create the new columns. It shows the result structure.
- HiLite Strategy
- Support HiLite or not.
Ports
- Input Ports
-
| 0 |
A table with pivoted columns. |
- Output Ports
-


Yet Another TF2 Config Generator
This program offers advanced configuration options for team fortress 2. It uses the tf2 scripting language. This won't get you VAC banned.
Features
- Ability to specify for each class/weapon to specify the:
- Crosshair (color, type, scale)
- Mouse Sensitivity
- Showing/Hiding behaviour of the weapon when you shoot/move/switch weapons/reload/etc..
- Dingalings (damage sounds)
- Interp-ratio
- Batch damage numbers
- Weapon switching has integrated next weapon, previous weapon, last weapon, toggle primary/secondary, toggle current/melee binds
- Null-movement canceling: if you press two opposite strafe keys, you will no longer stand still
- Ability to zoom in (up to factor 1.2)
- Crouch jump (default off, can be enabled on a by-class basis)
- Spawn switch binds
- Engineer: quickbuild binds
- Spy: disguise cycle
- Medic: radar, communicate through chat when ubering, fake charge
- Hide/Show gibs/sprays/ragdolls
- Chris' configs can be optionally included
- Scoreboard can be integrated with the network graphs
- Integrate your own scripts easily from within the program itself
- Binds for reload the hud, fixing graphical glitches and suicide
- Team only voice option
- Option to hide hitscan tracers/flames from the flamethrower/healbeam
- Also includes all the advanced options tf2 has
Installation
- Download the program here
- Unzip the program and double click on the jar file to start (make sure you have a recent version of java installed)
- Set everything up the way you want to, make sure you copy most of your essential settings in tf2, like your mouse sensitivity (very annoying when that gets changed). Use the profile menu to load some default settings
- Select your steam directory and username and save the configuration files to tf2
Uninstallation
- Delete all the .cfg files inside the tf/cfg directory
- Run tf2 once with the -autoconfig flag (inside the launch options) to reset tf2 to default
- Place any backed-up cfg files back
FAQ
I am having issues, it crashes. How can I fix this?
Try the following things:
* Make sure you unzip your program before running it, otherwise it won't be able to find any of the files it needs
* Upgrade java to its latest version, earlier java version don't work very well with this program
* Try to generate the scripts locally, and copying them manually the the tf/cfg directory in the team fortress installation directory
* Post an explanation + screenshot (if applicable) with the crash/issue on my github page: github.com/logophobia/YetAnotherTF2ConfigGenerator or add me at steamcommunity.com/id/logophobia
What is viewmodel switch mode?
It indicates when the viewmodel is turned off if that is set for the weapon slot:
* Immediately after switching weapons
* After firing a weapon
* After switching strafe directions
* After either firing or strafing
I have a feature request, where can I post it?
Post any suggestions on the github page or in the thread where you found the program
What does medic radar do precisely?
It toggles medic autocall to 150%, so each of your teammates has a medic symbol above their heads, which you can see through walls. As soon as you let go of the button, it will go back to its original autocall level
How can I customize this even more?
You could try editing the original templates, in the template directory. First, delete the cache directory. Then edit the templates, the language used is ssp: http://scalate.fusesource.org/documentation/ssp-reference.html. After that, the program will use your editted version of the templates.
What other ways to customize tf2 are there?
You can install custom huds, skins, hitsounds or customize/make your own scripts
My ambassador crosshair disappeared, how can I fix this?
For some reason, the crosshair after shooting is about half the default size. Increasing the size of the spy primary crosshair should fix this.
Changing settings inside tf2 doesn't work, it just gets changed back. How can I change my settings?
The scripts that were installed now regulate most of your settings inside tf2. Change stuff through the program, and then reinstall the scripts, or uninstall the scripts and be free to change things inside tf2 again.
Can I use my settings from a version of your program before 1.0
Yes. Drag the settings.xml file from your old program into the profile folder of the new program. Now you should be able to load your settings from the profile menu.


Our vision
Our workforce possesses a unique set of experiences and abilities that are critical to our success. And their passion for innovation helps us maintain our role as a technology leader. We must therefore respect the viewpoints of all our people and honour the values of discipline, quality, and risk-taking that our company was built on.
Our culture
It’s really the people that make L&A the kind of company it is. We hire people who are smart and determined, and we favour ability over experience. Although innovwalkers share common goals and visions for the company, we hail from all walks of life and speak dozens of languages, reflecting the global audience that we serve. And when not at work, innovwalkers pursue interests ranging from cycling to beekeeping, from frisbee to foxtrot.
We strive to maintain the open culture often associated with startups, in which everyone is a hands-on contributor and feels comfortable sharing ideas and opinions. In our weekly all-hands (“TGIF”) meetings—not to mention over email or in the cafe—innovwalkers ask questions directly to Lewis, Alex and other workers about any number of company issues. Our offices and cafes are designed to encourage interactions between innovwalkers within and across teams, and to spark conversation about work as well as play.
We strive to maintain the open culture often associated with startups, in which everyone is a hands-on contributor and feels comfortable sharing ideas and opinions. In our weekly all-hands (“TGIF”) meetings—not to mention over email or in the cafe—innovwalkers ask questions directly to Lewis, Alex and other workers about any number of company issues. Our offices and cafes are designed to encourage interactions between innovwalkers within and across teams, and to spark conversation about work as well as play.
Copyright © 2014 L&A, Inc. All rights reserved.


| |
|
Sale Notification
Hey {{name}},
Your {{title}} {{option1}} {{option2}} {{option3}} just sold.
|
Shipping Details
|
| Ship Your Item BY: {{shipByDate}} |
| Your Shipping Label: {{labelUrl}} |
|
| Please print this email including the QR CODE and ITEM ID: {{shortCode}} |
|
|
|
Sale Details
|
| Product: {{title}} |
| Product SKU: {{productSku}} |
| Earnings: ${{payout}} |
|
|
Thanks,
{{company}} team!
|
|
|
|


Chapter 4 Univariate Applications
4.1 Marginal Product of Labor
Go back to fan’s MEconTools Package, Matlab Code Examples Repository (bookdown site), or Math for Econ with Matlab Repository (bookdown site).
4.1.1 Marginal Product of Additional Workers (Discrete Workers)
Suppose we can not hire fractions of workers, but have to hire 1, 2, 3, etc.. What is the marginal product of each additional worker?
% fixed capital level
K = 1;
% current labor level
L = [1,2,3,4,5,6,7,8,9,10];
% Cobb Douglas Production Parameters
alpha = 0.5;
beta = 1-alpha;
% Output at x0
fx0 = (K^alpha)*(L.^beta);
% a vector of h
h = 1;
% output at fx0plush
x0plush = L+h;
fx0plush = (K^alpha)*((x0plush).^beta);
% derivatie
outputIncrease = (fx0plush - fx0)./h;
% Show Results in table
T = table(L', x0plush', fx0plush', outputIncrease');
T.Properties.VariableNames = {'L', 'x0plush', 'fx0plush', 'outputIncrease'};
disp(T);
L x0plush fx0plush outputIncrease
__ _______ ________ ______________
1 2 1.4142 0.41421
2 3 1.7321 0.31784
3 4 2 0.26795
4 5 2.2361 0.23607
5 6 2.4495 0.21342
6 7 2.6458 0.19626
7 8 2.8284 0.18268
8 9 3 0.17157
9 10 3.1623 0.16228
10 11 3.3166 0.15435
% Graph
close all;
figure();
hold on;
plot(L, outputIncrease);
scatter(L, outputIncrease,'filled');
grid on;
ylabel('Marginal Output Increase from each Additional Worker (h=1)')
xlabel('L, previous/existing number of workers')
title('Discrete Labor Unit, Marginal Product of Each Worker')
4.1.2 Using Derivative to approximate Increase in Output from More Workers
We know the MPL formula, so we can evaluate MPL at the vetor of L
% fixed capital level
K = 1;
% current labor level
L = [1,2,3,4,5,6,7,8,9,10];
% Cobb Douglas Production Parameters
alpha = 0.5;
% Output at x0
fprimeX0 = (1-alpha)*(K^alpha)*(L.^(-alpha));
T = table(L', outputIncrease', fprimeX0');
T.Properties.VariableNames = {'L', 'outputIncrease','fprimeX0'};
disp(T);
L outputIncrease fprimeX0
__ ______________ ________
1 0.41421 0.5
2 0.31784 0.35355
3 0.26795 0.28868
4 0.23607 0.25
5 0.21342 0.22361
6 0.19626 0.20412
7 0.18268 0.18898
8 0.17157 0.17678
9 0.16228 0.16667
10 0.15435 0.15811
4.1.3 Marginal Product of Additional Workers Different Capital (Discrete Workers)
Suppose we can not hire fractions of workers, but have to hire 1, 2, 3, etc.. What is the marginal product of each additional worker?
% fixed capital level
K1 = 1;
[fprimeX0K1, L] = MPKdiscrete(K1);
K2 = 2;
[fprimeX0K2, L] = MPKdiscrete(K2);
K3 = 3;
[fprimeX0K3, L] = MPKdiscrete(K3);
% Graph
close all;
figure();
hold on;
plot(L, fprimeX0K1);
scatter(L, fprimeX0K1,'filled');
plot(L, fprimeX0K2);
scatter(L, fprimeX0K2,'filled');
plot(L, fprimeX0K3);
scatter(L, fprimeX0K3,'filled');
grid on;
ylabel('Marginal Output Increase from each Additional Worker (h=1)')
xlabel('L, previous/existing number of workers')
title('Discrete Labor Unit, Marginal Product of Each Worker')
legend(['k=',num2str(K1)], ['k=',num2str(K1)],...
['k=',num2str(K2)],['k=',num2str(K2)],...
['k=',num2str(K3)],['k=',num2str(K3)]);
function [fprimeX0, L] = MPKdiscrete(K)
% current labor level
L = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15];
% Cobb Douglas Production Parameters
alpha = 0.5;
beta = 1-alpha;
% Output at x0
fx0 = (K^alpha)*(L.^beta);
% a vector of h
h = 1;
% output at fx0plush
x0plush = L+h;
fx0plush = (K^alpha)*((x0plush).^beta);
% derivatie
fprimeX0 = (fx0plush - fx0)./h;
end
4.2 Derivative of Cobb-Douglas Production Function
Go back to fan’s MEconTools Package, Matlab Code Examples Repository (bookdown site), or Math for Econ with Matlab Repository (bookdown site).
4.2.1 Marginal Output Per Worker Holding Capital Fixed
Given the following production function:
\[Y(K,L)=K^{\alpha } \cdot L^{1-\alpha }\]
Assume that \(K\) is a number \(K=K_0\), We can, following the chain rule, take derivative of \(Y\) with respect to \(L\):
\[\frac{dY(K_0 ,L)}{dL}=(1-\alpha )\cdot K_0^{\alpha } \cdot L^{-\alpha }\]
Matlab symbolic toolbox gives us the same answer:
syms L K0 alpha
f(L, K0, alpha) = K0^(alpha)*L^(1-alpha);
diff(f, L)
ans(L, K0, alpha) =
1em \(\displaystyle -\frac{{K_0 }^{\alpha } \,{\left(\alpha -1\right)}}{L^{\alpha } }\)
4.2.2 Marginal Productivity Graph at Fixed Capital Level
We can show this graphically using fplot to plot a symbolic function with one variable:
alpha = 0.5;
K0 = 1;
% Note that we have 1 symbolic variable now, the others are numbers
syms L
f(L) = K0^(alpha)*L^(1-alpha);
f_diff_L = diff(f, L);
% Start figure
figure()
% fplot plots a function with one symbolic variable
fplot(f_diff_L, [0.1, 15])
title('Marginal Product of Labor, with K=1, alpha=0.5')
ylabel({'Marginal Product of additional labor' 'at different level of current L'})
xlabel('Current level of Labor')
grid on
4.2.3 Marginal Product of Labor at different Capital Levels
We can show this graphically using fplot to plot a symbolic function with one variable, we loop over different K0 values.
With higher capital level, the MPL is strictly higher.
However, note on the graph that the effect of additional capital on labor marginal productivity is different at different current levels of labor (the gap between the three lines differ along the x-axis):
alpha = 0.5;
k0a = 1;
k0b = 2;
k0c = 3;
K0vec = [k0a k0b k0c];
% Start figure
figure()
% Hold figure
hold on;
for K0 = K0vec
% Note that we have 1 symbolic variable now, the others are numbers
syms L
f(L) = K0^(alpha)*L^(1-alpha);
f_diff_L = diff(f, L);
% fplot plots a function with one symbolic variable
fplot(f_diff_L, [0.1, 15])
end
grid on
legend(['k=',num2str(k0a)],...
['k=',num2str(k0b)],...
['k=',num2str(k0c)]);
title('Marginal Product of Labor with different Capital Levels, alpha=0.5')
ylabel({'Marginal Product of additional labor'})
xlabel('Current level of Labor')
4.3 Derivative Approximation of Marginal Product
Go back to fan’s MEconTools Package, Matlab Code Examples Repository (bookdown site), or Math for Econ with Matlab Repository (bookdown site).
Given the analytical formula for derivative. We can compute the value of the formula at different \(h\).
\[f^{\prime } (x_0 )=\lim_{h\to 0} \frac{f(x_0 +h)-f(x_0 )}{h}\]
4.3.1 Cobb-Douglas–Output as a Function of Capital
Let’s consider a cobb-douglas production function again.
If you own a firm, you would be very interested in how much additional output you can get from one more unit of capital of one more labor hired. If you know that, you can compare that against the cost of more capital and labor and determine if it is optimal to choose to increase capital and/or labor.
\[F(K,L)=K^{\alpha } \cdot L^{1-\alpha }\]
For now, let’s fix capital. Suppose capital takes a long time to adjust, but labor can be adjusted. You currently have \(K=1\) and \(L=1\), what happens to output if you increase labor?
clear all;
% Define Production Function as a function of K, with fixed L
alpha = 0.5;
beta = 0.5;
K = 1;
syms L
f(L) = (K^alpha)*(L.^beta);
% Graph Production Function with Fixed L
figure();
fplot(f, [0,4]);
ylabel('Cobb-Douglas Output');
xlabel('Labor');
title(['Output with Increasing Labor with fixed Capital=', num2str(K)])
4.3.2 Cobb-Douglas–Tangent line as h gets smaller
Following the definition above, if we want to measure the slope of the output line at \(K=1\), we need to calculate slope over run as \(h\) gets smaller
% Define parameters and K0
alpha = 0.5;
beta = 0.5;
L0 = 1;
K = 1;
Y_at_L0 = (K^alpha)*(L0^beta);
x_max = 5;
x_min = 0;
% a vector of h vectors
h_vec = [0.01, 1, 3];
% Loop over h, generate a plot for each rise over run as h changes
figure();
hold on;
% Legend
Legend_list = {};
% Plot as before the production function as a function of K
syms L
f(L) = (K^alpha)*(L^beta);
fplot(f, [x_min, x_max], 'LineWidth', 2);
% Add to Legend List
legend_counter = 1;
Legend_list{1} = ['Actual Line'];
% Plot the other lines
for h=h_vec
f_l0 = (K^alpha)*(L0^beta);
f_l0_plus_h = (K^alpha)*((L0+h)^beta);
% Current approximating line slope, based on formula above
cur_slope = (f_l0_plus_h - f_l0)/h;
% Current approximating line y-intercept, we require line to cross (K0, Y_at_K0), and know slope already
cur_y_intercept = Y_at_L0 - cur_slope*L0;
% Plot each of the approximating Slopes
syms L
f(L) = cur_y_intercept + cur_slope*L;
fplot(f, [x_min, x_max], '--');
plot([h+L0, h+L0], ylim, '-k');
% Legend
legend_counter = 1 + legend_counter;
Legend_list{legend_counter} = ['h=' num2str(h) ', slope=' num2str(cur_slope)];
end
grid on;
ylabel('Cobb-Douglas Output');
xlabel('Labor');
title({'Tangent line as h gets smaller'...
,['Output with Increasing Labor, fixed Capital=' num2str(K)]})
legend(Legend_list,'Location', 'NW','Orientation' ,'Vertical' );
At different \(h\), the approximating slope formula is calculating output per additional worker given \(h\) increase in workers. Below are the slopes of the dashed lines in the figure above for a wider range of \(h\) values.
% a bigger evenly spaced vector of h
h_grid_count = 100;
h = linspace(0, 15, h_grid_count);
% output at f_x0_plus_h
x0_plus_h = L0+h;
f_x0 = (K^alpha)*(L0.^beta);
f_x0_plus_h = (K^alpha)*((x0_plus_h).^beta);
% average output per additional worker
f_prime_x0 = (f_x0_plus_h - f_x0)./h;
% Store Results in a Table
T = table(h', x0_plus_h', f_x0_plus_h', f_prime_x0');
T.Properties.VariableNames = {'h', 'x0_plus_h', 'f_x0_plus_h', 'f_prime_x0'};
% Graph
close all;
figure();
plot(h, f_prime_x0);
grid on;
ylabel('Average output increase per unit of labor increase')
xlabel('h=increases in labor from L=2 (K=1 fixed)')
title('Derivative Approximation as h gets small, CD Production')
4.4 Utility Maximization and Intertemporal Consumption
Go back to fan’s MEconTools Package, Matlab Code Examples Repository (bookdown site), or Math for Econ with Matlab Repository (bookdown site).
4.4.1 Model Components and Maximization Problem
Suppose we have a household who will \(z_2\) income tomorrow, and has \(z_1\) dollar income income today. He needs to determine how much to save/borrow. There is no uncertainty in this problem, we solve the problem with uncertainty again in: Protofolio Choice: Investments in Risky (stocks) and Safe (bank) Assets, and Financing Risky Investments with Bank Loans.
We can write down the model where we maximize utility over choices \(c_{today} ,c_{tomorrow}\):
Utility: \(U(c_{today} ,c_{tomrrow} )=\log (c_{today} )+\beta \cdot \log (c_{tomorrow} )\)
Budget Today: \(c_{today} +b=z_1\)
Budget Tomorrow: \(c_{tomorrow} =b\cdot (1+r)+z_2\)
We can rewrite the problem as:
- \(\displaystyle \max_b \left\lbrace \log (z_1 -b)+\beta \log (b\cdot (1+r)+z_2 )\right\rbrace\)
Note: the only choice in this model is \(b\), that will determine consumption today and tomorrow.
Note: Does the interest rate have any effects when there are no inheritances in the second period (\(z_2 =0\))? Change the second period inheritances in the code below to analyze the effect of interest rate.
4.4.2 Open set for Choice set
Even though the budget constraint seems to allow for \(0\) consumption today and tomorrow, but \(\log\) utility is not defined at \(0\), hence the maximization problem is undefined at \(c_{today} =0\) and \(c_{tomorrow} =0\). Hence, the actual choice set for \(save\) is an open interval:
- \(b\in \left(-\frac{z_2 }{1+r},z_1 \right)\), (which means \(0\) and \(b\) are not in the domain)
Our Maximization problem is hence:
- \(\displaystyle \max_{b\in \left(-\frac{z_2 }{1+r},z_1 \right)} \left\lbrace \log (z_1 -b)+0.95\log (b\cdot (1+0.03)+z_2 )\right\rbrace\)
If you choose save \(z_1\) or more, consumption today will be undefined (death today). If you borrow more than endowment tomorrow divided by interest rate, you will not be able to pay back your debts (we assume no default). Given this choice set, we could view this as a constrained maximization problem, but the constraints never bind.
4.4.3 Finding Optimal Choices–Brute Force Grid
A brute-force way of solving for this problem is to generate a vectors of values for saving between 0 and b, but not including them, evaluate the utility function at these values, and then find the max. This method works when there are more choices as well. Experiment with the following function by adjusting the parameters, including the discount factor, interest rate, and wealth in the first and second period.
% Model Parameters
beta = 0.95;
r = 0.05;
wealth_1 = 10;
wealth_2 = 1;
% Generate a Vector of Points
choice_grid_count = 1000;
% This creates 100 equi-distance points, not at 0 and b, but between 0 and b
save_grid = linspace(-wealth_2/(1+r)+0.0001, wealth_1-0.0001, choice_grid_count);
% Evaluate utility
utility_at_savegrid = log(wealth_1 - save_grid) + beta*log(wealth_2 + save_grid*(1+r));
% Find Max
[max_utility, max_utility_index] = max(utility_at_savegrid);
% max_utility is the highest utility onthe choice grid
max_utility
max_utility = 3.3628
% out of the choice grid points, which nth choice grid gives highest utility
max_utility_index
max_utility_index = 488
% we can find the savings level at the index
optimal_savings_choice = save_grid(max_utility_index)
optimal_savings_choice = 4.3868
% Plot
figure();
hold on;
plot(save_grid, utility_at_savegrid);
scatter(optimal_savings_choice, max_utility, 'filled');
xlabel('Borrow Save Choices along Grid');
ylabel('Utility at different savings choices');
title({'Optimal Borrow Save choice (red dot) on feasible choice grid';...
['optimal Borrow Save = ', num2str(optimal_savings_choice)]});
xlim([-wealth_2/(1+r), wealth_1])
plot(ones(size(save_grid))*0, utility_at_savegrid, 'k--');
grid on;
4.4.4 Analytical Solution
You can use the symbolic toolbox to take derivative and find root:
syms z beta r x
funcU = log(z - x) + beta*log((z/2) + x*(1+r))
funcU =
1em \(\displaystyle \log \left(z-x\right)+\beta \,\log \left(\frac{z}{2}+x\,{\left(r+1\right)}\right)\)
dUdx = diff(funcU, x)
dUdx =
1em \(\displaystyle \frac{1}{x-z}+\frac{\beta \,{\left(r+1\right)}}{\frac{z}{2}+x\,{\left(r+1\right)}}\)
xOpti = solve(dUdx==0, x)
xOpti =
1em \(\displaystyle \frac{2\,\beta \,z-z+2\,\beta \,r\,z}{2\,\beta +2\,r+2\,\beta \,r+2}\)
4.4.5 Supply Curve For Capital
With the optimal capital choice as a function of interest rate, we can plot out the supply for capital.
z=10;
beta=0.92;
grid_points = 21;
% Rate Vector
r = linspace(1.0,1.2,grid_points);
% Supply Curve
% use the . for division because it is a vector divided by another vector
s=(z*beta*(1+r)-(z/2))./((1+r)*(1+beta));
% Plot
figure();
plot(s,r);
xlabel('Savings (Saved at Bank, to be lent out to firms)');
ylabel('Interest Rate');
title({'Inverse Supply For Capital'});
grid on;
4.5 Profit Maximization over Capital and Labor
Go back to fan’s MEconTools Package, Matlab Code Examples Repository (bookdown site), or Math for Econ with Matlab Repository (bookdown site).
4.5.1 Model Components and Maximization Problem
Assume that the firm has fixed free labor, but can choose capital input. At the start of a period, a firm rents capital inputs and combines capital with labor to produce. At the end of the period, the firm sells its output and pays interest rates based on how much capital it rented (no wage costs). Profit is denoted by π, period interest rate is \(r\), the price of output is \(p\), the firm makes \(y\) units of output, and the production function is Cobb-Douglas: \(A\cdot K^{\alpha } \cdot L^{0.5}\)
- Profit: \(\Pi =p\cdot A\cdot K^{\alpha } \cdot L^{0.5} -r\cdot K\)
Profit Maximization:
- \(\displaystyle \max_K \left(p\cdot A\cdot K^{\alpha } \cdot L^{0.5} -r\cdot K\right)\)
The \(r\) here is just the interest on loans, in another word, if the borrowing rate is 2 percent, \(r=0.02\). Alternatively, one could replace the \(r\) in the equation above by \(1+r\). The implication of just having \(r\) is that the \(K\) that was borrowed could be resold and so the firm does not need to generate revenue to pay for the principle borrowed, only the interest rate. If however, during the process of production, ther capital depreciates, then the firm would have to pay back more than \(r\). In the extreme case where the capital fully gets used up and can not be resold for any value, then the cost term in the equation above becomes: \((1+r)\cdot K\).
4.5.2 Finding Optimal Choices–Brute Force Grid
We can visualize the solution here like we do for the household savings problem
clear all;
alpha=0.25;
A=1;
r=1.05;
p=1;
L=2;
choice_grid_count=100;
capital_grid=linspace(0, 1,choice_grid_count);
profit_at_capitalgrid=p*A*(capital_grid.^alpha)*(L^0.5)-(r*capital_grid);
[max_profit, max_profit_index]=max(profit_at_capitalgrid);
max_profit
max_profit = 0.7379
max_profit_index
max_profit_index = 24
optimal_capital_choice = capital_grid(max_profit_index);
figure();
hold on;
plot(capital_grid, profit_at_capitalgrid);
scatter(optimal_capital_choice, max_profit, 'filled');
xlabel('Capital Choices along Grid');
ylabel('Profit at different capital choices');
title({'Optimal capital choice (red dot) on feasible choice grid';...
['optimal capital = ', num2str(optimal_capital_choice)]});
grid on;
4.5.3 Analytical Solution
You can use the symbolic toolbox to take derivative and find root:
syms r p alpha L K A
fpi = p*A*K^(alpha)*L^0.5 - r*K
fpi =
1em \(\displaystyle A\,K^{\alpha } \,\sqrt{L}\,p-K\,r\)
dPIdK = diff(fpi, K)
dPIdK =
1em \(\displaystyle A\,K^{\alpha -1} \,\sqrt{L}\,\alpha \,p-r\)
KOpti = solve(dPIdK == 0, K, 'REAL',true)
Warning: Solutions are valid under the following conditions: 0 < r/(A*L^(1/2)*alpha*p) & in((r/(A*L^(1/2)*alpha*p))^(1/(alpha - 1)), 'real'). To include parameters and conditions in the solution, specify the 'ReturnConditions' value as 'true'.
KOpti =
1em \(\displaystyle {{\left(\frac{r}{A\,\sqrt{L}\,\alpha \,p}\right)}}^{\frac{1}{\alpha -1}}\)
4.5.4 Demand Curve For Capital
With the optimal capital choice as a function of interest rate, we can plot out the demand for capital.
p=1.15; %From the question.
L=2; %From the question.
A=3; %You can pick a random number.
alpha=0.45; %You can pick a random number.
grid_points = 21;
% Vector of interest rates
r = linspace(1.0,1.2,grid_points);
% Demand Curve
K= (r/(p*A*alpha*(L^0.5))).^(1/(alpha-1));
% Plot
figure();
plot(K,r);
xlabel('Capital (Borrowed from Banks)');
ylabel('Interest Rate');
title({'Inverse Demand For Capital'});
grid on;
4.5.5 Demand and Supply Intersection
Combining the Firm’s problem here, and the household’s problem from the other file, we have the equilibrium result.
Note that you should adjust your interest rate range so that you can see the intersection. For the problem here, there exists an interest rate that clears the market for capital.
z=10;% from household problem
beta=0.80; % from household problem
p=1.15; %From the question.
L=2; %From the question.
A=3; %You can pick a random number.
alpha=0.45; %You can pick a random number.
grid_points = 21;
% Vector of interest rates
r = linspace(1.0,1.2,grid_points);
% Demand Curve
Demand = (r/(p*A*alpha*(L^0.5))).^(1/(alpha-1));
Supply = (z*beta*(1+r)-(z/2))./((1+r)*(1+beta));
% Plot
figure();
hold on;
plot(Demand,r);
plot(Supply,r);
xlabel('Capital Demand and Supply');
ylabel('Interest Rate');
title({'Inverse Demand and Supply For Capital'});
legend({'Demand', 'Supply'});
grid on;