NO END (BEZ KONCA) A film review by James Berardinelli Copyright 1996 James Berardinelli
RATING (0 TO 10): 8.0 Alternative Scale: ***1/2 out of ****
Poland, 1984 Running Length: 1:47 MPAA Classification: No MPAA Rating (Mature themes, sex, nudity) Theatrical Aspect Ratio: 1.66:1
Cast: Grazyna Szapolowska, Maria Pakulnis, Aleksander Bardini,=20 Jerzy Radziwillowicz, Artur Barcis Director: Krzysztof Kieslowski Producer: Ryszard Chutkowski Screenplay: Krzysztof Kieslowski and Krzysztof Piesiewicz Cinematography: Jacek Petrycki Music: Zbigniew Preisner U.S. Distributor: New Yorker Films In Polish with subtitles
NO END, the first collaboration between writer-director Krzysztof=20 Kieslowski and lawyer-turned-screenwriter Krzysztof Piesiewicz, takes=20 place in a Poland that is under the cloud of martial law. More than any=20 of the director's other internationally-screened features, this one=20 requires some (however rudimentary) knowledge of the political situation=20 in Poland during the early-to-mid eighties. Martial law was declared in=20 late 1981, and, in the resulting climate of uncertainty and tension, the=20 courts began to pass two-to-three year sentences on anyone caught=20 painting graffiti, found in possession of an underground newspaper,=20 breaking curfew, or participating in strikes or other resistance=20 activities. One of Kieslowski's objectives in NO END was to explore=20 potential ramifications of this situation from a noncritical=20 perspective.=20
Although NO END garnered Kieslowski more overseas recognition that=20 he had attained for CAMERA BUFF, things weren't as pleasant at home. =20 According to the director, this film was not at all well-received during=20 its initial run. Discussing the Polish reaction to NO END, he said, "It=20 was received terribly by the authorities; it was received terribly by=20 the opposition, and it was received terribly by the Church. Meaning, by=20 the three powers that be in Poland. We really got a thrashing over it. =20 Only one element didn't give us a thrashing, and that was the audience=85=20 they went to see it=85 Never in my life have I received as many letters or= =20 phone calls about a film=85 And all of them, in fact -- I didn't get a=20 single bad letter or call -- said that I'd spoken the truth about=20 martial law. That that was the way they experienced it, that's what it=20 was like."
NO END is really three stories in one, all of which revolve around=20 people connected to a lawyer, Antoni Zyro (Jerzy Radziwillowicz), who=20 dies just before the film begins. There's Ulla (Grazyna Szapolowska,=20 who later appeared in DECALOGUE 6, A SHORT FILM ABOUT LOVE), the=20 lawyer's widow. Only after his death does she realize how much she=20 loved her husband and how little meaning her life has without him. The=20 there's Dariusz (Artur Barcis), Antoni's client, who has been jailed for=20 leading a labor strike. After Antoni's death, Dariusz is forced to=20 employ an older, more cautious lawyer (Aleksander Bardini), who believes=20 in compromising with the state to obtain a lenient sentence. Finally,=20 there's the ghost of Antoni, who silently haunts his friends and family,=20 watching as they continue their lives.
Pre-echoes of BLUE abound in this film. Ulla's grief over her=20 husband's death is like Julie's in the 1993 feature. Both women=20 discover their husbands' secrets, and both turn to available men for=20 sexual satisfaction. Adding to the similarities, Zbigniew Preisner's=20 haunting score for NO END can be heard often during BLUE as a=20 composition by "Van Den Budenmayer". However, while Ulla's story is NO=20 END's most powerful element, the emotional impact here is less than what=20 Kieslowski achieved with the first installment of his THREE COLORS=20 trilogy.
From a purely intellectual perspective, Dariusz's story is probably=20 the most intriguing. His dilemma is simple: accept his new lawyer's=20 strategy of compromise and go free, or retrain his integrity and go to=20 prison. Dariusz agonizes over the choice. He has a wife and child to=20 feed -- something he can't do if he's in jail. Yet he believes=20 passionately in the rights of the workers and the unfairness of martial=20 law, and it makes him feel like a fraud to consider "selling out." =20 Kieslowski carefully balances both sides of the predicament, presenting=20 them to the audience almost as if asking us to render a verdict. In the=20 end, Dariusz' decision is perhaps inevitable, but it gives him no joy. =20 Kieslowski uses this sort of ethical and/or moral dilemma frequently in=20 his movies. CAMERA BUFF, BLIND CHANCE, and DECALOGUE all explore=20 similar situations.
The metaphysical element of NO END, while intriguing in concept,=20 doesn't work all that well on screen. We never get much sense for what=20 Antoni's ghost is feeling. He's only in four scenes, and remains=20 something of an enigma -- an impotent watcher who occasionally attempts=20 to communicate with the living by leaving unexpected signs. Kieslowski=20 uses Antoni's ghost as a metaphor for the average person constrained by=20 martial law -- possessing a clear conscience yet unable to do anything=20 to affect change.
The three motifs of NO END frequently cross and occasionally=20 entwine. Kieslowski doesn't always handle these interconnections well;=20 in fact, there are times when the different stories mesh clumsily. =20 Nevertheless, the film is so packed with ideas that there's never any=20 shortage of material worth pondering, and Ulla's emotional torment=20 touches the heart. Even though elements of the whole don't blend=20 seamlessly, NO END still leaves a lasting impression. Looking back on=20 the full body of Kieslowski's films, NO END can be viewed as an=20 important entry, because, despite its flaws, we can observe embryonic=20 forms of several themes that the director explored more fully in=20 DECALOGUE and THREE COLORS. Thus, NO END functions both as a compliment=20 and a precursor to the director's most lasting works.
Kieslowski quotes are from KIESLOWSKI ON KIESLOWSKI, Faber and Faber,=20 1993. - James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
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{% extends "base.html" %} {% block title %}Events – My IoT{% endblock %} {% block body %} {% include "includes/navbar.html" %} Events ... {% include "includes/periods.html" %} {% endblock %}


Attention! South Korean boyband BTS have to do military service
SEOUL, Nov 22 ― Hit South Korean boy band BTS will not be given exemption from mandatory military service, the defence ministry has said, reaffirming its policy of no exceptions for pop stars.
The decision is likely to fuel debate in South Korea, which remains technically at war with North Korea, about whether entertainers and athletes should have to do their full military service, of about 18 months, when they might be at the peak of their careers.
“Exempting pop culture artists from military service even though they have made a contribution to the country’s reputation is not in line with the government’s stance to uphold justice and fairness,” the ministry said in announcing its decision yesterday.
The seven-strong BTS has spearheaded a wave of Korean pop, crowning their success with three No. 1 albums on the Billboard chart in less than a year, a 2019 Grammy nomination and concerts from New York to Saudi Arabia.
None of the band members, who range in age from 22 to 26, was available for comment today.
Korean men who turn 18 become eligible for a physical examination by the Military Manpower Administration, which can then lead to service. Women do not have to do military service.
Authorities occasionally grants exemptions, for instance to athletes, but only if they have won gold medals at the Asian Games, or any medal at the Olympics.
Also, classical musicians who have received awards at recognised international competition can skip their military service.
Last year, Son Heung-min, who plays for the English Premier League side Tottenham Hotspur, was given an exemption but only after he helped the South Korean national team win gold at the Asian Games.
The defence ministry said fewer than 45 people are exempt from service every year.
South Korea has nearly 600,000 soldiers, most of them conscripted. ― Reuters


2.4 The tempfile Module
The tempfile module in Example 2-6 allows you to quickly come up with unique names to use for
temporary files.
Example 2-6. Using the tempfile Module to Create Filenames for Temporary Files
File: tempfile-example-1.py
import tempfile
import os
tempfile = tempfile.mktemp()
print "tempfile", "=>", tempfile
file = open(tempfile, "w+b")
file.write("*" * 1000)
file.seek(0)
print len(file.read()), "bytes"
file.close()
try:
# must remove file when done
os.remove(tempfile)
except OSError:
pass
tempfile => C:\TEMP\~160-1
1000 bytes
The TemporaryFile function picks a suitable name
and opens the file, as shown in Example 2-7. It also makes sure that the file is removed when
it's closed. (On Unix, you can remove an open file and have it
disappear when the file is closed. On other platforms, this is done
via a special wrapper class.)
Example 2-7. Using the tempfile Module to Open Temporary Files
File: tempfile-example-2.py
import tempfile
file = tempfile.TemporaryFile()
for i in range(100):
file.write("*" * 100)
file.close() # removes the file!
|


When you work with the data contained in a SQL Server database, one method of manipulating the data is to use a result set. The Microsoft SQL Server JDBC Driver supports the use of result sets through the SQLServerResultSet object. By using the SQLServerResultSet object, you can retrieve the data returned from an SQL statement or stored procedure, update the data as needed, and then persist that data back to the database.
In addition, the SQLServerResultSet object provides methods for navigating through its rows of data, getting or setting the data that it contains, and for establishing various levels of sensitivity to changes in the underlying database.
The topics in this section describe different ways that you can use a result set to manipulate the data contained in a SQL Server database.
In This Section
| Topic | Description |
|---|---|
|
Describes how to use a result set to retrieve data from a SQL Server database and display it. |
|
|
Describes how to use a result set to insert, retrieve, and modify data in a SQL Server database. |
|
|
Describes how to use a result set to retrieve large amounts of data from a SQL Server database, and to control how that data is cached on the client. |


{% comment %} - This is a dynamic sidebar for messages. - It serves the purpose of inclusion and passing some parameter for proper usage. _ But howeever to fully use this template with django include {% include %} you have to pass pass in message queryset context from your views. Usage example: In view file, context = {'messages': Message.objects.all()} In template, {% include 'path_to_this_file' with messages=messages title='Any header' %} {% endcomment %}


library(tidyverse)
library(cowplot)
library(broom)
library(modelr)
library(viridis)
library(lubridate)
library(hms)
knitr::opts_chunk$set(tidy.opts=list(width.cutoff=60),tidy=TRUE, echo = TRUE, message=FALSE, warning=FALSE, fig.align="center")
source("../../tools/echem_processing_tools.R")
source("../../tools/plotting_tools.R")
theme_set(theme_1())
First, import all SWV files.
SWV_file_paths <- dir(path='../Data', pattern = "[SWV]+.+[txt]$",recursive = T,full.names = T)
SWV_filenames <- basename(SWV_file_paths)
swv_data_cols <- c('E','i1','i2')
filename_cols = c('PHZadded','treatment','reactor','run','echem','rep')
swv_skip_rows=18
swv_data <- echem_import_to_df(filenames = SWV_filenames,
file_paths = SWV_file_paths,
data_cols = swv_data_cols,
skip_rows = swv_skip_rows,
filename_cols = filename_cols,
rep = T) %>%
mutate(rep=rep-1)
These are all of the scans taken in the transfer reactor. This is i1, which is usually used for the downstream quantification:
ggplot(swv_data %>% filter(electrode=='i1' & reactor=='transfer'), aes(x=E, y=current,color=rep,group=factor(rep)))+geom_path()+
facet_grid(treatment~run,scales='free')+
scale_color_viridis()
It looks about as expected. Unfortunately there is a high background signal that comes up in the psoralen starting at run 3. I switched to SWVslow parameters after that.
Here’s i2:
ggplot(swv_data %>% filter(electrode=='i2' & reactor=='transfer'), aes(x=E, y=current,color=rep,group=factor(rep)))+geom_path()+
facet_grid(treatment~run,scales='free')+
scale_color_viridis()
It looks typical. Taking an SWV after GC results in this weird peak at the collector electrode…at least it’s consistent. For run 5, the psoralen biofilm was started with SWV fast parameters and it looked bad, so I restarted it with swv slow parameters, so the real scans are very tiny on this plot.
Let’s focus on the first run for both conditions.
ggplot(swv_data %>% filter(electrode=='i1' & reactor=='transfer' & run==1 & rep<14 & rep>0), aes(x=E, y=current,color=rep,group=factor(rep)))+geom_path()+
facet_wrap(~treatment,scales='free')+
scale_color_viridis()
It looks pretty good, although the psoralen data may need some loess smoothing. Let’s ignore that for now.
Let’s import all the GC data.
GC_file_paths <- dir(path='../Data', pattern = "[GC]+.+[txt]$",recursive = T,full.names = T)
GC_filenames <- basename(GC_file_paths)
gc_data_cols <- c('E','i1','i2','t')
filename_cols = c('PHZadded','treatment','reactor','run','echem','rep')
gc_skip_rows=21
gc_data <- echem_import_to_df(filenames = GC_filenames,
file_paths = GC_file_paths,
data_cols = gc_data_cols,
skip_rows = gc_skip_rows,
filename_cols = filename_cols,
rep = T)
Here’s all the data plotted.
ggplot(gc_data %>% filter(reactor=='transfer'), aes(x=E, y=current,color=rep,group=electrode))+
geom_point(size=0.5)+
facet_grid(treatment~run,scales='free')+
scale_x_reverse() +
scale_color_viridis(discrete = F)
Eh, this data looks ok, but not great. I do not understand why the curves get “wiggly” or why such a weird high signal pops up on the generators. These weird effects seemed to be indpendent of potentiostat and not sensitive to minor changes in where the IDA faced in the reactors. I think the 760b might give somewhat smoother results, but it’s perplexing that it is relatively inconsistent. Note that for runs 1 and 2 the 760e was used with the control and the 760b with psoralen, and runs 3 and 4 were the exact opposite.
It looks like the collectors were somewhat more immune to the wiggliness than the generators, but I do worry that these anomalies will affect the quantification…For now, I think we should look at the series more closely, and try to make sure that the wiggles are small compared to the main PYO peak arising around 250mV. Assuming that is true, I think we should be fine.
Let’s look at the collector data specifically:
ggplot(gc_data %>% filter(reactor=='transfer' & electrode=='i2'), aes(x=E, y=-current,color=rep,group=factor(rep))) +
geom_path()+
facet_grid(treatment~run,scales='free')+
scale_color_viridis()+
scale_x_reverse()
The collector is more robus to the wiggliness, but it is still apparent in many curves.
Let’s start with the control SWV data, which overall looks cleaner than the psoralen data.
swv_control_data <- swv_data %>%
filter(treatment=='control' & PHZaddedInt==75)
unique_id_cols = c('PHZadded','treatment','reactor','run','echem','rep','minutes','PHZaddedInt','electrode')
swv_control_signals_1 <- echem_signal(df = swv_control_data %>% filter(run!=4),
unique_id_cols = unique_id_cols,
max_interval = c(-0.2,-0.4),
min_interval = c(0.0,-0.4))
swv_control_signals_2 <- echem_signal(df = swv_control_data %>% filter(run==4),
unique_id_cols = unique_id_cols,
max_interval = c(-0.2,-0.4),
min_interval = c(-0.11,-0.4))
swv_control_signals = rbind(swv_control_signals_1,swv_control_signals_2)
ggplot(swv_control_data %>% filter(electrode=='i1'),
aes(x = E, y = current, color = rep, shape=reactor, group=factor(rep))) +
geom_path()+
geom_point(data = swv_control_signals %>% filter(electrode=='i1'),
aes(x = E_from_maxs, y = current_from_maxs), color = 'red') +
geom_point(data = swv_control_signals %>% filter(electrode=='i1'),
aes(x = E_from_mins, y = current_from_mins), color = 'blue') +
facet_wrap(~run,scales='free')+
scale_x_reverse()+
scale_color_viridis()
ggplot(swv_control_data %>% filter(electrode=='i1' & reactor=='transfer'),
aes(x = E, y = current, color = rep, shape=reactor, group=factor(rep))) +
geom_path()+
geom_point(data = swv_control_signals %>% filter(electrode=='i1' & reactor=='transfer'),
aes(x = E_from_maxs, y = current_from_maxs), color = 'red') +
geom_point(data = swv_control_signals %>% filter(electrode=='i1' & reactor=='transfer'),
aes(x = E_from_mins, y = current_from_mins), color = 'blue') +
facet_wrap(~run,scales='free')+
scale_x_reverse()+
scale_color_viridis()
Overall, these look pretty good, there isn’t any crazy background that obviously messes with the quantification. Also, in the top plot, you can see that the soak scans aren’t way higher than the first rep 0 transfer scan, which will be useful for the \(D_m\) estimate.
Here’s what the i2 swvs look like:
ggplot(swv_control_data %>% filter(electrode=='i2' & reactor=='transfer' & rep>0),
aes(x = E, y = current, color = rep, shape=reactor, group=factor(rep))) +
geom_path()+
geom_point(data = swv_control_signals %>% filter(electrode=='i2' & reactor=='transfer' & rep>0),
aes(x = E_from_maxs, y = current_from_maxs), color = 'red') +
geom_point(data = swv_control_signals %>% filter(electrode=='i2' & reactor=='transfer' & rep>0),
aes(x = E_from_mins, y = current_from_mins), color = 'blue') +
facet_wrap(~run,scales='free')+
scale_x_reverse()+
scale_color_viridis()
Again, following GC, swv i2 has a weird signal. This signal is still present in run 4 (SWV slow), so it’s not that time sensitive.
Let’s look at how the quantified signals decay over the reps.
ggplot(swv_control_signals, aes(x=rep, y=signal,shape=reactor,color=factor(run)))+geom_line()+geom_point()+
facet_wrap(~electrode)+
scale_color_viridis(discrete = T)
Overall, the control i1 signals look pretty consistent (except run 4 which was taken with swv slow). As expected the i2 signals look a little weird, except for runs 4 and 5. So maybe the SWV slow did deal with the contaminant better??
Let’s examine the psoralen SWVs.
swv_psoralen_data <- swv_data %>%
filter(treatment=='psoralen' & PHZaddedInt==75) %>%
filter(echem!='SWV' | run!=5)
unique_id_cols = c('PHZadded','treatment','reactor','run','echem','rep','minutes','PHZaddedInt','electrode')
swv_psoralen_signals <- echem_signal(df = swv_psoralen_data,
unique_id_cols = unique_id_cols,
max_interval = c(-0.2,-0.4),
min_interval = c(-0.11,-0.4))
ggplot(swv_psoralen_data %>% filter(electrode=='i1' & reactor=='transfer' & rep>0),
aes(x = E, y = current, color = rep, shape=reactor, group=factor(rep))) +
geom_path()+
geom_point(data = swv_psoralen_signals %>% filter(electrode=='i1' & reactor=='transfer' & rep>0),
aes(x = E_from_maxs, y = current_from_maxs), color = 'red') +
geom_point(data = swv_psoralen_signals %>% filter(electrode=='i1' & reactor=='transfer' & rep>0),
aes(x = E_from_mins, y = current_from_mins), color = 'blue') +
facet_wrap(~run,scales='free')+
scale_x_reverse()+
scale_color_viridis()
# ggplot(swv_psoralen_data %>% filter(electrode=='i1' & reactor=='transfer' & rep>0 & run==5),
# aes(x = E, y = current, color = rep, shape=echem, group=factor(rep))) +
# geom_point()+
# facet_wrap(~run,scales='free')+
# scale_x_reverse()+
# scale_color_viridis()
Ok, we can see that some of the later scans during run 1 had very high noise. See below for a plot of run 1 excluding those sans. Rep 2 looks a little weird, maybe there’s some high noise, but not so bad. Run 3 is hard to examine because of the high background, see below for a better view. Runs 3 and 4 used SWVslows and both have unusually broad peaks, but the plots seem to decay monotonically.
Here’s run 1:
ggplot(swv_psoralen_data %>% filter(electrode=='i1' & reactor=='transfer' & rep>0 & rep<14 & run==1),
aes(x = E, y = current, color = rep, shape=reactor, group=factor(rep))) +
geom_path()+
geom_point(data = swv_psoralen_signals %>% filter(electrode=='i1' & reactor=='transfer' & rep>0 & rep<14 & run==1),
aes(x = E_from_maxs, y = current_from_maxs), color = 'red') +
geom_point(data = swv_psoralen_signals %>% filter(electrode=='i1' & reactor=='transfer' & rep>0 & rep<14 & run==1),
aes(x = E_from_mins, y = current_from_mins), color = 'blue') +
facet_wrap(~echem,scales='free')+
scale_x_reverse()+
scale_color_viridis()
Run 1 looks quite good. Perhaps we should loess smooth later.
Here’s run 3:
ggplot(swv_psoralen_data %>% filter(electrode=='i1' & reactor=='transfer' & rep>0 & run==3),
aes(x = E, y = current, color = rep, shape=reactor, group=factor(rep))) +
geom_path()+
geom_point(data = swv_psoralen_signals %>% filter(electrode=='i1' & reactor=='transfer' & rep>0 & run==3),
aes(x = E_from_maxs, y = current_from_maxs), color = 'red') +
geom_point(data = swv_psoralen_signals %>% filter(electrode=='i1' & reactor=='transfer' & rep>0 & run==3),
aes(x = E_from_mins, y = current_from_mins), color = 'blue') +
facet_wrap(~echem,scales='free')+
ylim(2e-6,5e-6)+
scale_x_reverse()+
scale_color_viridis()
It’s clear that these peaks are going to be useless.
Now let’s quantify the GC data. I’m going to quantify at the last point of the scan ~ -0.4V and right after the PYO redox peak at -0.3 V.
gc_data_i2 <- gc_data %>%
filter(electrode=='i2' & PHZaddedInt==75) %>%
mutate(current=-current)
unique_id_cols = c('PHZadded','treatment','reactor','run','echem','rep','minutes','PHZaddedInt','electrode')
gc_signals <- echem_signal(df = gc_data_i2,
unique_id_cols = unique_id_cols,
max_interval = c(-0.399,-0.399),
min_interval = c(0.0,-0.4))
gc_signals_2 <- echem_signal(df = gc_data_i2,
unique_id_cols = unique_id_cols,
max_interval = c(-0.3,-0.3),
min_interval = c(0.0,-0.4))
ggplot(gc_data_i2 %>% filter(reactor=='transfer'),
aes(x = E, y = current, color = rep, shape=reactor, group=factor(rep))) +
geom_path()+
geom_point(data = gc_signals %>% filter(reactor=='transfer'),
aes(x = E_from_maxs, y = current_from_maxs), color = 'red') +
geom_point(data = gc_signals %>% filter(reactor=='transfer'),
aes(x = E_from_mins, y = current_from_mins), color = 'blue') +
facet_grid(treatment~run,scales='free')+
scale_x_reverse()+
scale_color_viridis()
ggplot(gc_data_i2 %>% filter(reactor=='transfer') %>% filter(E>-0.5),
aes(x = E, y = current, color = rep, shape=reactor, group=factor(rep))) +
geom_path()+
geom_point(data = gc_signals_2 %>% filter(reactor=='transfer'),
aes(x = E_from_maxs, y = current_from_maxs), color = 'red') +
geom_point(data = gc_signals_2 %>% filter(reactor=='transfer'),
aes(x = E_from_mins, y = current_from_mins), color = 'blue') +
facet_grid(treatment~run,scales='free')+
scale_x_reverse()+
scale_color_viridis()
The quantifications look clean.
Let’s look at the soak data:
ggplot(gc_data_i2 %>% filter(reactor=='soak' & rep==1),
aes(x = E, y = current, color = factor(run), shape=reactor, linetype=treatment)) +
geom_path()+
geom_point(data = gc_signals %>% filter(reactor=='soak'),
aes(x = E_from_maxs, y = current_from_maxs), color = 'red') +
geom_point(data = gc_signals %>% filter(reactor=='soak'),
aes(x = E_from_mins, y = current_from_mins), color = 'blue') +
scale_x_reverse()+
scale_color_viridis(discrete = T)
The only pattern I see is that the psoralen signal goes up each run in the soak reactor. Perhaps this is an indication that the biofilm is falling off and the soak IDA is able to see more of the solution?
Let’s look at all of the GC signals over the reps from each run.
ggplot(gc_signals, aes(x = rep, y = signal,shape=reactor, color=factor(run)))+
geom_line()+
geom_point()+
facet_wrap(reactor~treatment,scales='free')+
scale_color_viridis(discrete = T)
Ok, overall, things look reasonably good, they decline monotonically. It is interesting that run 1 seems to decay more slowly than the other runs. Also notice that the first transfer psoralen data points decrease from run 1 to 4, further indicating that the biofilm may have degraded, since less PYO was carried over. We should look at the timing from transfer to run 1 to be sure though.
Again we are going to look at the last GC datapoint and at -0.3, which has "_2" appended to everything. Here’s a quick pass at the data. See the analysis notebook for more detailed thoughts:
swv_gc_control <- left_join(swv_control_signals %>% filter(run<=4),gc_signals,
by=c('run','rep','reactor','treatment'),
suffix=c('_from_swv','_from_gc'))
swv_gc_control_2 <- left_join(swv_control_signals %>% filter(run<=4),gc_signals_2,
by=c('run','rep','reactor','treatment'),
suffix=c('_from_swv','_from_gc'))
#write_csv(swv_gc_control,"./01_17_19_swv_gc_control_dap_processed.csv")
ggplot(swv_gc_control %>% filter(reactor=='transfer' & electrode_from_swv=='i1' & rep>0), aes(x = signal_from_swv, y = signal_from_gc, color=factor(run)))+
geom_line()+
geom_point()+
geom_smooth(method='lm',se=F)+
scale_color_viridis(discrete = T)
ggplot(swv_gc_control_2 %>% filter(reactor=='transfer' & electrode_from_swv=='i1' & rep>0), aes(x = signal_from_swv, y = signal_from_gc, color=factor(run)))+
geom_line()+
geom_point()+
geom_smooth(method='lm',se=F)+
scale_color_viridis(discrete = T)+
facet_wrap(~run,scales='free')
(swv_gc_control_lms <- swv_gc_control %>%
filter(reactor=='transfer' & rep>0 & electrode_from_swv=='i1') %>%
group_by(run,treatment,electrode_from_swv) %>%
do(tidy(lm(signal_from_gc~signal_from_swv,.))))
## # A tibble: 8 x 8
## # Groups: run, treatment, electrode_from_swv [4]
## run treatment electrode_from_… term estimate std.error statistic
## <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
## 1 1 control i1 (Int… -2.81e-8 1.94e-9 -14.5
## 2 1 control i1 sign… 1.51e-1 3.99e-3 38.0
## 3 2 control i1 (Int… -2.09e-8 1.98e-9 -10.6
## 4 2 control i1 sign… 1.05e-1 3.49e-3 30.0
## 5 3 control i1 (Int… -5.28e-8 5.49e-9 -9.62
## 6 3 control i1 sign… 1.20e-1 7.90e-3 15.2
## 7 4 control i1 (Int… -2.29e-8 4.58e-9 -5.00
## 8 4 control i1 sign… 3.91e-1 2.91e-2 13.4
## # … with 1 more variable: p.value <dbl>
(swv_gc_control_lms_2 <- swv_gc_control_2 %>%
filter(reactor=='transfer' & rep>0 & electrode_from_swv=='i1') %>%
group_by(run,treatment,electrode_from_swv) %>%
do(tidy(lm(signal_from_gc~signal_from_swv,.))))
## # A tibble: 8 x 8
## # Groups: run, treatment, electrode_from_swv [4]
## run treatment electrode_from_… term estimate std.error statistic
## <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
## 1 1 control i1 (Int… -2.50e-8 2.53e-9 -9.89
## 2 1 control i1 sign… 1.26e-1 5.20e-3 24.2
## 3 2 control i1 (Int… -2.79e-8 2.95e-9 -9.45
## 4 2 control i1 sign… 1.18e-1 5.20e-3 22.7
## 5 3 control i1 (Int… -5.57e-8 7.72e-9 -7.21
## 6 3 control i1 sign… 1.22e-1 1.11e-2 11.0
## 7 4 control i1 (Int… -1.54e-8 1.83e-9 -8.41
## 8 4 control i1 sign… 2.81e-1 1.16e-2 24.2
## # … with 1 more variable: p.value <dbl>
swv_gc_psoralen <- left_join(swv_psoralen_signals %>% filter(run<=4),gc_signals,
by=c('run','rep','reactor','treatment'),
suffix=c('_from_swv','_from_gc'))
swv_gc_psoralen_2 <- left_join(swv_psoralen_signals %>% filter(run<=4),gc_signals_2,
by=c('run','rep','reactor','treatment'),
suffix=c('_from_swv','_from_gc'))
#write_csv(swv_gc_control,"./01_17_19_swv_gc_control_dap_processed.csv")
ggplot(swv_gc_psoralen %>% filter(reactor=='transfer' & electrode_from_swv=='i1' & rep>0 & rep<14), aes(x = signal_from_swv, y = signal_from_gc, color=factor(run)))+
geom_line()+
geom_point(aes(size=rep))+
geom_smooth(method='lm',se=F)+
scale_color_viridis(discrete = T)
ggplot(swv_gc_psoralen_2 %>% filter(reactor=='transfer' & electrode_from_swv=='i1' & rep>0 & rep<14), aes(x = signal_from_swv, y = signal_from_gc, color=factor(run)))+
geom_line()+
geom_point(aes(size=rep))+
geom_smooth(method='lm',se=F)+
scale_color_viridis(discrete = T)
Runs 1 and 4 only
ggplot(swv_gc_psoralen %>% filter(reactor=='transfer' & electrode_from_swv=='i1' & rep>0 & rep<14 & run %in% c(1,4)), aes(x = signal_from_swv, y = signal_from_gc, color=factor(run)))+
geom_line()+
geom_point()+
geom_smooth(method='lm',se=F)+
facet_wrap(~run,scales='free')+
scale_color_viridis(discrete = T)
ggplot(swv_gc_psoralen_2 %>% filter(reactor=='transfer' & electrode_from_swv=='i1' & rep>0 & rep<14 & run %in% c(1,4)), aes(x = signal_from_swv, y = signal_from_gc, color=factor(run)))+
geom_line()+
geom_point()+
geom_smooth(method='lm',se=F)+
facet_wrap(~run,scales='free')+
scale_color_viridis(discrete = T)
(swv_gc_psoralen_lms <- swv_gc_psoralen %>%
filter(reactor=='transfer' & rep>0 & rep<14 & electrode_from_swv=='i1') %>%
group_by(run,treatment,electrode_from_swv) %>%
do(tidy(lm(signal_from_gc~signal_from_swv,.))))
## # A tibble: 8 x 8
## # Groups: run, treatment, electrode_from_swv [4]
## run treatment electrode_from_… term estimate std.error statistic
## <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
## 1 1 psoralen i1 (Int… -1.87e- 8 5.98e-10 -31.3
## 2 1 psoralen i1 sign… 2.38e- 1 3.24e- 3 73.5
## 3 2 psoralen i1 (Int… -3.37e- 8 1.39e- 8 -2.42
## 4 2 psoralen i1 sign… 1.61e- 1 4.41e- 2 3.65
## 5 3 psoralen i1 (Int… 6.13e- 9 1.21e- 8 0.505
## 6 3 psoralen i1 sign… -1.87e- 4 3.35e- 2 -0.00558
## 7 4 psoralen i1 (Int… -8.73e-10 2.81e-10 -3.10
## 8 4 psoralen i1 sign… 1.91e- 1 9.99e- 3 19.2
## # … with 1 more variable: p.value <dbl>
(swv_gc_psoralen_lms_2 <- swv_gc_psoralen_2 %>%
filter(reactor=='transfer' & rep>0 & rep<14 & electrode_from_swv=='i1') %>%
group_by(run,treatment,electrode_from_swv) %>%
do(tidy(lm(signal_from_gc~signal_from_swv,.))))
## # A tibble: 8 x 8
## # Groups: run, treatment, electrode_from_swv [4]
## run treatment electrode_from_… term estimate std.error statistic
## <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
## 1 1 psoralen i1 (Int… -2.05e-8 1.30e- 9 -15.8
## 2 1 psoralen i1 sign… 2.28e-1 7.03e- 3 32.4
## 3 2 psoralen i1 (Int… -3.69e-8 1.32e- 8 -2.80
## 4 2 psoralen i1 sign… 1.61e-1 4.18e- 2 3.84
## 5 3 psoralen i1 (Int… 4.07e-9 8.85e- 9 0.460
## 6 3 psoralen i1 sign… -4.75e-4 2.44e- 2 -0.0195
## 7 4 psoralen i1 (Int… -1.09e-9 3.68e-10 -2.95
## 8 4 psoralen i1 sign… 1.40e-1 1.31e- 2 10.7
## # … with 1 more variable: p.value <dbl>
swv_gc_run_1 <- rbind(swv_gc_psoralen %>% filter(run==1 & rep<14 & electrode_from_swv=='i1' & reactor=='transfer'), swv_gc_control %>% filter(run==1 & electrode_from_swv=='i1' & reactor=='transfer'))
write_csv(swv_gc_run_1, "./01_23_19_processed_swv_gc_run_1.csv")
swv_gc_run_4 <- rbind(swv_gc_psoralen %>% filter(run==4 & electrode_from_swv=='i1' & reactor=='transfer'), swv_gc_control %>% filter(run==4 & electrode_from_swv=='i1' & reactor=='transfer'))
write_csv(swv_gc_run_4, "./01_23_19_processed_swv_gc_run_4.csv")
swv_gc_all <- rbind(swv_gc_control, swv_gc_psoralen)
write_csv(swv_gc_all, "./01_23_19_processed_swv_gc_all.csv")
See the analysis notebook for further work with the processed datasets.


Issue Three
44.2794°N, 73.9803°W
i. Lady of the Lake
He tells me he fell through the ice once and when I ask him how deep he tells me about fish who still wear legs and polliwogs thin as rice pushing through his mouth.  Above the loam huskies fought over a wet bone and he was lifted by his teeth to the white air, laid out naked in the back of a rusty sled. Then he was only thirty, and now ground to carapace he fogs the thick window, and the trolley rolls on through the snow. Outside, bootless girls walk on the water with flashlights and do not know that we are watching.  The quick gravity of heavy things still hangs here with the far tilted conifers, and children in their plaid swimming suits have learned to be fearful of low squatting rock shelves. They fall like plucked berries against the shimmering water, careful to jump outwards-not-up and land with splashes too small for their bodies. Always we hold our breaths ‘til their brown heads bob again to the surface. To us, they seem like whinnying calves, but unlike buffalo we fear we do not know how to smell the smoke.
Tick
I feel like slow curdling milk. The kind of milk that rises like minced icebergs after being put in the microwave, and briefly the girl in her oversized YMCA nightshirt considers drinking me anyway but at the end of the night I am in the disposal with the old green peppers and lemon peels.
If ticks could speak they would have only four words: grass, tick, un-tick, and heat, and I wonder if they are happy in this alphabet of legs the way that I am not with all my home and self and the words that mean big changes.
If I could be a fat tick I would not need to be milk.
And on the inside of a vacuum cleaner, when I am dead, I could tell all the straw stinkbugs about the merengue fridge light and prismed beads of soap and most of all of grass and tick, un-tick and heat.
Madison Archard is a freshman Writing Seminars major at John's Hopkins, and has attended programs such as the Iowa Young Writer's Studio, the Oxford Tradition, and the Kenyon Young Writer's Studio. She hopes to take these experiences and turn them into a career that is not limited to waitressing.
Copyright © 2012-2015, The Postscript Journal. All rights reserved.


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Director is a student-built and student-run project to provide a management interface for activity and student websites.
Director Founding Development Team


{% extends 'home.html' %} {%block body%} {% load static %}
We provide health-related services such as medical imaging we do disease classification using x-rays , ct scans etc , we also provide health and safety precautions by predicting the chances of having any chronic disease using tabular data .
Here you can test yourself for covid & Pneumonia using your xray .
Click For TestingWe provide early detection of brain stroke here just test it here .
Click For TestingHere you can test yourself for heart attack.
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Volvo XC40 D3 long-term test | proving to be a worthy Fleet News Award winner
by Andrew BaxterBIK List Price
£32,700
BIK Percentage
33%
CO2
127g/km
Combined MPG
51.4 (WLTP)
Review
I’ve now clocked-up around 1,000 miles in the XC40 and it’s easy to see why it won the coveted Fleet News Award for New Company Car of the Year 2019, voted for by fleet-decision makers.
Low running costs, high-spec levels and renowned levels of safety, make for a compelling proposition. Add funky good looks and you’ve got a winning combination.
The 1,000-plus miles involved a combination of long motorway trips and shorter urban journeys and have shown the XC40 to be an accomplished all-rounder. The comfortable seats and excellent driving position mean you arrive at your destination feeling refreshed and ready to go; while its compact dimensions and 360º Surround View parking camera make negotiating even a tight space straightforward.
One of my early misgivings, however, has also proven itself over the course of these journeys: that of the gearbox and engine combination.
The eight-speed automatic transmission is slick and a joy to use. The stubby selector falls easily to hand and makes gear selection a quick and simple process. It is not, though, in my experience, particularly well suited to the D3’s 150PS engine.
Whether it’s a lack of torque, turbo lag, a quirk of the gear ratios of the auto ’box, or a combination of some or all of these I’m not sure. But, under some driving conditions, performance is lacking.
The issue comes to the fore when you back off the accelerator in preparation to apply the brake – say when approaching a roundabout for example – and instead of needing to slow down further, you then start to accelerate again.
In these situations there is often a lack of power. The revs and noise rise, but a ‘laggy dead-spot’ means this isn’t matched by the levels of forward motion you’re expecting, or need.
It also happens when you apply the brakes to scrub some speed off and then need to accelerate smartly. This could be remedied with a 190PS D4 under the bonnet as the extra torque (400Nm vs 320Nm) would prevent any disharmony between the engine and gearbox.
Wiper glitch takes the shine off the drive - September 2019
A little over two weeks after taking delivery of our XC40 long termer and with just more than 1,250 miles on the clock, I was greeted with an unwanted message on its 12.3-inch active TFT crystal display: Wiper failure – service required.
Using my full technical knowhow I turned the ignition off and on again, but, alas, the warning remained.
Sometime between the fault occurring and the car going to the local Volvo dealer for some diagnostic TLC, the fault rectified itself, but the service department suggested it still come in for a once over.
On collection, the dealership confirmed there had indeed been a ‘glitch’ and the diagnostics had picked up an intermittent fault; which the technicians had now remedied.
Wipers are, of course, one of those easy-to-overlook bits of kit on a car. When they work you completely take them for granted. When they stop working, however, it’s a different story. Practically and legally, you’ve got to have ’em!
My colleague suffered a similar issue with his VW T-Roc, although on that occasion it forced him to pull over onto a motorway hard shoulder.
As vehicles become more complex the likelihood of software ‘glitches’ increases, as does their potential impact on keeping fleet drivers mobile.
We welcome a Volvo XC40 D3 Inscription to our fleet - August 2019
Winning the 2019 Fleet News Award for New Company Car of the Year is no mean feat. Exclusively voted for by fleet-decision makers, it takes something special to scoop this hotly contested accolade.
This year’s worthy winner was Volvo’s highly popular compact SUV offering, the XC40.
So it was with some anticipation that I awaited delivery of our new long-term test XC40 D3 Inscription.
The XC40 comes in three variants: Momentum, R-Design and Inscription, with higher-spec’d ‘Pro’ versions available in both R-Design and Inscription guises.
According to the marketing people “Momentum is a proud expression of urban style; R-Design is the XC40 in its most dynamic, sporty form; while Inscription embodies modern Swedish luxury at its most progressive”.
All come with an impressive standard spec-list including a nine-inch centre console touchscreen, sat-nav with European mapping, voice activated control, digital radio, Bluetooth handsfree system, hill start assist, power parking (hand) brake with auto hold function, hill descent control, and keyless start.
As you would expect from Volvo, there’s also an extremely impressive list of safety features included as standard. After all, the manufacturer has “the safety vision that nobody will be killed or seriously injured in a new Volvo car by 2020…”
Two diesel engines are available – the 150PS D3 and the 190PS D4, while three petrol derivatives are on offer – the 163hp T3, 190hp T4 and range-topping 247hp T5. All versions, accept the T3 and T5, are available in both front-wheel-drive (FWD) and all-wheel drive (AWD) form; with the T3 coming in FWD-only and the T5 in AWD-only.
The entry level 150PS front-wheel-drive manual D3 has CO2 emissions of 127g/km, BIK of 33% and a P11D price of £30,100. Its official combined fuel economy is between 47.9mpg and 51.4mpg (WLTP cycle).
Our front-wheel-drive D3 Inscription is fitted with an eight-speed automatic transmission which bumps CO2 emissions up slightly to 131g/km and BIK to 34%. Economy takes a slight dip, with official combined WLTP figures of between 44.8mpg and 47.1mpg.
It will be interesting to see how well suited the D3 engine and auto ’box are, which could either make for relaxed mile-munching, or a frustrating lack of oomph. Time to hit the road and find out.
Top Speed
124mph
VED band
G
Fuel Type
Diesel
Residual Value
3 Year 60k : £14,850
4 Year 80k : £12,100
Running Cost (ppm)
3 Year 60k : 45.77
4 Year 80k : 42.15
CO2 emissions and fuel consumption data correct at time of writing. The latest figures are available in the Fleet News fuel cost calculator and the company car tax calculator.


The NMPT package can be downloaded from the Download NMPT page. It is structured as a development source tree. At the top level (the NMPT directory) there is a single Makefile, and below are several directories: bin, build, data, doc, src.
It is meant to stand alone under any standard C++ compiler, with the exception that it requires the OpenCV libraries. The only platform-specific (or user specific) portion of the compilation should be correctly locating the OpenCV libraries on your system. A few standard configurations are supported, but porting the code to a new system is as simple as modifying the Makefile to reflect the location of the OpenCV header files (includes) and libraries.
To compile the code:
PLATFORM
variable to the appropriate choice. The current supported options are MACFRAMEWORK
(Mac OS X), MACPORTS
(Mac OS X), CYGWIN
(Windows), and LINUX
(Linux). Each of these options is described further below. On compilation, the binaries will be generated and placed in the "bin" subdirectory. Intermediate build files (e.g. .o object files) will be placed in the "build" subdirectory.
Once the Makefile has been properly configured, you can run a sample program by typing
>> make
>> bin/FastSUN data/HDMovieClip.avi
For more information on the included Machine Perception Primitives and the Example Programs, see below.
OpenCV is a freely available and easy to use package for C++ computer vision applications. You will need to have access to its libraries to be able to use this software. Although it has not been thoroughly tested, this software should work in any standard C++ environment on any platform as long OpenCV is included, and its libraries are linked. Below we review a instructions to install and link to OpenCV for:
There are two basic approaches to installing OpenCV in OS X: OpenCV Libraries, and OpenCV Framework. The Framework approach much simpler. Also, installation of OpenCV via MacPorts or Fink can be long, tedious, and error prone. Unless you have a reason to prefer the Libraries approach, the Framework approach is recommended.
Frameworks are OS X specific ways of bundling libraries. The OSX OpenCV Framework can be downloaded directly from the following url:
http://www.ient.rwth-aachen.de/~asbach/OpenCV-Private-Framework-1.2.dmg
or it can be retrieved through the OSX RPM-style package manager YUM.
Inside the disk image is a directory, OpenCV.framework
-- this should be copied to the /Library/Frameworks directory of your OS X install. This is a standard repository for frameworks and OS X knows to look for them there.
Once OpenCV is installed this way, uncomment the Makefile line:
PLATFORM=MACFRAMEWORK
and comment out the others:
#PLATFORM=MACPORTS
#PLATFORM=CYGWIN
#PLATFORM=LINUX
OpenCV is now installed and the Makefile is configured. You should be able to compile and run the NMPT library (Installation). NOTE: If you get to this point, and are unable build the code, (for example you get a terminal response like "-bash: make: command not found"), try installing Developer Tools and XCode, or updating your version of Developer tools and XCode. You can find these on your Mac OS Installation Disk that came with your computer, or you can download them online freely (signup required) from: http://developer.apple.com/technology/xcode.html.
The OpenCV Libraries can be installed via MacPorts (or fink). This installation method is long, tedious, and error prone, while the OpenCV Framework approach is nearly instantaneous. If you have a good reason to install libraries via MacPorts Fink, read this section.
Once MacPorts has been installed, OpenCV can be installed using
>> sudo port install opencv
This will install the OpenCV header files to /opt/local/include/opencv/
, and the library files to /opt/local/lib/
.
By default, this installs dynamically linking libraries. To run any code that links to these libraries, the DYLD_FALLBACK_LIBRARY_PATH environment variable must include the /opt/local/lib/
directory. This can be set automatically whenever you open a Terminal by including the following line in your ~/.profile
configuration file:
export DYLD_FALLBACK_LIBRARY_PATH=$DYLD_FALLBACK_LIBRARY_PATH:/opt/local/lib
NOTE: Some libraries in OpenCV seem to conflict with the Mac OS X libraries, and the latter should be given preference. This is done by using the DYLD_FALLBACK_LIBRARY_PATH variable, rather than the standard DYLD_LIBRARY_PATH variable.
Once OpenCV is installed this way, uncomment the Makefile line:
PLATFORM=MACPORTS
and comment out the others:
#PLATFORM=MACFRAMEWORK
#PLATFORM=CYGWIN
#PLATFORM=LINUX
OpenCV is now installed and the Makefile is configured. You should be able to compile and run the NMPT library (Installation).
If you installed the OpenCV libraries via Fink rather than MacPorts, the libraries will be in /sw/lib, etc. You will need to make the following change to the Makefile:
ifeq ($(PLATFORM), MACPORTS)
CC = g++
OPENCV=/sw #This line used to read OPENCV=/opt/local
CUSTOM_INCLUDES=-I${OPENCV}/include/opencv/ -I${SRC_DIR}
endif
Also you will need to set your DYLD_FALLBACK_LIBRARY_PATH accordingly:
export DYLD_FALLBACK_LIBRARY_PATH=$DYLD_FALLBACK_LIBRARY_PATH:/sw/local/lib
OpenCV is now installed and the Makefile is configured. You should be able to compile and run the NMPT library (Installation).
The OpenCV libraries for Windows can be downloaded from SouceForge.net:
http://sourceforge.net/project/showfiles.php?group_id=22870
By default, this installer installs the OpenCV headers and libraries to specific directories inside of the "c:\Program/ Files\OpenCV"
directory.
Given that you keep this standard installation, then you can build the libraries included here from Cygwin. The Makefile is currently configured to use Cygwin's g++ compiler.
Once OpenCV is installed this way, uncomment the Makefile line:
PLATFORM=CYGWIN
and comment out the others:
#PLATFORM=MACPORTS
#PLATFORM=MACFRAMEWORK
#PLATFORM=LINUX
OpenCV is now installed and the Makefile is configured. You should be able to compile and run the NMPT library (Installation).
The OpenCV libraries for Linux can be downloaded from SouceForge.net:
http://sourceforge.net/project/showfiles.php?group_id=22870
Unizip the tar file:
>>tar -xvf opencv-1.1pre1.tar.gz
In the newly created directory, build and install the OpenCV software:
>>./configure && make && make install
By default this will install the OpenCV libraries to your /usr/local directory. Once OpenCV is installed this way, uncomment the Makefile line:
PLATFORM=LINUX
and comment out the others:
#PLATFORM=MACPORTS
#PLATFORM=MACFRAMEWORK
#PLATFORM=CYGWIN
OpenCV is now installed and the Makefile is configured. You should be able to compile and run the NMPT library (Installation).


This package will download model predictions from 15 different global circulation models in 20 year intervals from the world bank. Users can also access historical data, and create maps at 2 different spatial scales.
| Version: | 0.1.3 |
| Imports: | ggplot2, httr, plyr, rgdal, jsonlite, reshape2, sp |
| Suggests: | knitr |
| Published: | 2014-04-19 |
| Author: | Edmund Hart [aut, cre] |
| Maintainer: | Edmund Hart <edmund.m.hart at gmail.com> |
| BugReports: | http://github.com/ropensci/rWBclimate/issues |
| License: | MIT + file LICENSE |
| URL: | http://github.com/ropensci/rWBclimate |
| NeedsCompilation: | no |
| Citation: | rWBclimate citation info |
| CRAN checks: | rWBclimate results |
| Reference manual: | rWBclimate.pdf |
| Vignettes: |
rWBclimate |
| Package source: | rWBclimate_0.1.3.tar.gz |
| Windows binaries: | r-devel: rWBclimate_0.1.3.zip, r-release: rWBclimate_0.1.3.zip, r-oldrel: rWBclimate_0.1.3.zip |
| OS X binaries: | r-release: rWBclimate_0.1.3.tgz, r-oldrel: rWBclimate_0.1.3.tgz |
Please use the canonical form https://CRAN.R-project.org/package=rWBclimate to link to this page.


For details, see the guideline on using plain English
highlighted word(s) appear on the words to avoid list:
For style, see the style guide


A XMPP server since {since}
{domain}
5222
(Requires TLS Encryption)room.{domain}
{admin_jid}
online (
conns),
totalEither register within a client, or register here
Any XMPP clients will do, here're some suggestions:
For improved security and privacy concern, you're encouraged to host your own XMPP server. You can follow the documentation of Prosody, or use our open-sourced all-in-one prosody docker


{% extends 'base.html' %} {% block cssstyle %} {% endblock %} {% block pagecontent %} {% include "navigation.html" %}
{{ code }}
Are you sure you want to delete this model?


"GLUTTON "(Deuteronomy 21:20), Hebrews zolel, from a word meaning“to shake out,” “to squander;” and hence one who is prodigal, who wastes his means by indulgence. In Proverbs 23:21, the word means debauchees or wasters of their own body. In Proverbs 28:7, the word (pl.) is rendered Authorized Version “riotous men;” Revised Version, “gluttonous.” Matthew 11:19, Luke 7:34, Greek phagos, given to eating, gluttonous.
"GLUTTON "(Deuteronomy 21:20), Hebrews zolel, from a word meaning“to shake out,” “to squander;” and hence one who is prodigal, who wastes his means by indulgence. In Proverbs 23:21, the word means debauchees or wasters of their own body. In Proverbs 28:7, the word (pl.) is rendered Authorized Version “riotous men;” Revised Version, “gluttonous.” Matthew 11:19, Luke 7:34, Greek phagos, given to eating, gluttonous.


class Solution: def minReorder(self, n: int, connections: List[List[int]]) -> int: # 从根节点出发，进行bfs searched = set() bfs = [0] searched.add(0) wayTo = [[] for _ in range(n)] wayFrom = [ [] for _ in range(n)] for a,b in connections: wayTo[a].append(b) wayFrom[b].append(a) res = 0 while bfs: x = bfs.pop(0) for y in wayTo[x]: if y not in searched: searched.add(y) bfs.append(y) res += 1 for y in wayFrom[x]: if y not in searched: searched.add(y) bfs.append(y) return res


Welcome! {{userName}}
Record of books currently issued by {{userName}}| Student Id | Student name | Book name | Issue date | Return date |
|---|---|---|---|---|
| {{transaction.id}} | {{transaction.name}} | {{transaction.book}} | {{transaction.issueDate|date}} | {{transaction.returnDate|date}} |


Our Team
Hi There !
I love to introduce myself as a hardcore Web Designer.
Syave Maruthi Prasad
7337412283
<EMAIL_ADDRESS>I love to design
I love to introduce myself as a hardcore Web Designer.
Thejas P Shindhe
7795522443
ThejasPShindi@gmail.com


XRDB
Section: User Commands (1)Updated: xrdb 1.0.9
Index Return to Main Contents
NAME
xrdb - X server resource database utilitySYNOPSIS
xrdb [-option ...] [filename]DESCRIPTION
Xrdb is used to get or set the contents of the RESOURCE_MANAGER property on the root window of screen 0, or the SCREEN_RESOURCES property on the root window of any or all screens, or everything combined. You would normally run this program from your X startup file.Most X clients use the RESOURCE_MANAGER and SCREEN_RESOURCES properties to get user preferences about color, fonts, and so on for applications. Having this information in the server (where it is available to all clients) instead of on disk, solves the problem in previous versions of X that required you to maintain defaults files on every machine that you might use. It also allows for dynamic changing of defaults without editing files.
The RESOURCE_MANAGER property is used for resources that apply to all screens of the display. The SCREEN_RESOURCES property on each screen specifies additional (or overriding) resources to be used for that screen. (When there is only one screen, SCREEN_RESOURCES is normally not used, all resources are just placed in the RESOURCE_MANAGER property.)
The file specified by filename (or the contents from standard input if - or no filename is given) is optionally passed through the C preprocessor with the following symbols defined, based on the capabilities of the server being used:
- SERVERHOST=hostname
- the hostname portion of the display to which you are connected.
- SRVR_name
- the SERVERHOST hostname string turned into a legal identifier. For example, "my-dpy.lcs.mit.edu" becomes SRVR_my_dpy_lcs_mit_edu.
- HOST=hostname
- the same as SERVERHOST.
- DISPLAY_NUM=num
- the number of the display on the server host.
- CLIENTHOST=hostname
- the name of the host on which xrdb is running.
- CLNT_name
- the CLIENTHOST hostname string turned into a legal identifier. For example, "expo.lcs.mit.edu" becomes CLNT_expo_lcs_mit_edu.
- RELEASE=num
- the vendor release number for the server. The interpretation of this number will vary depending on VENDOR.
- REVISION=num
- the X protocol minor version supported by this server (currently 0).
- VERSION=num
- the X protocol major version supported by this server (should always be 11).
- VENDOR=vendor
- a string literal specifying the vendor of the server.
- VNDR_name
- the VENDOR name string turned into a legal identifier. For example, "MIT X Consortium" becomes VNDR_MIT_X_Consortium.
- EXT_name
- A symbol is defined for each protocol extension supported by the server. Each extension string name is turned into a legal identifier. For example, "X3D-PEX" becomes EXT_X3D_PEX.
- NUM_SCREENS=num
- the total number of screens.
- SCREEN_NUM=num
- the number of the current screen (from zero).
- BITS_PER_RGB=num
- the number of significant bits in an RGB color specification. This is the log base 2 of the number of distinct shades of each primary that the hardware can generate. Note that it usually is not related to PLANES.
- CLASS=visualclass
- one of StaticGray, GrayScale, StaticColor, PseudoColor, TrueColor, DirectColor. This is the visual class of the root window.
- CLASS_visualclass=visualid
- the visual class of the root window in a form you can #ifdef on. The value is the numeric id of the visual.
- COLOR
- defined only if CLASS is one of StaticColor, PseudoColor, TrueColor, or DirectColor.
- CLASS_visualclass_depth=num
- A symbol is defined for each visual supported for the screen. The symbol includes the class of the visual and its depth; the value is the numeric id of the visual. (If more than one visual has the same class and depth, the numeric id of the first one reported by the server is used.)
- HEIGHT=num
- the height of the root window in pixels.
- WIDTH=num
- the width of the root window in pixels.
- PLANES=num
- the number of bit planes (the depth) of the root window.
- X_RESOLUTION=num
- the x resolution of the screen in pixels per meter.
- Y_RESOLUTION=num
- the y resolution of the screen in pixels per meter.
SRVR_name, CLNT_name, VNDR_name, and EXT_name identifiers are formed by changing all characters other than letters and digits into underscores (_).
Lines that begin with an exclamation mark (!) are ignored and may be used as comments.
Note that since xrdb can read from standard input, it can be used to the change the contents of properties directly from a terminal or from a shell script.
OPTIONS
xrdb program accepts the following options:
- -help
- This option (or any unsupported option) will cause a brief description of the allowable options and parameters to be printed.
- -display display
- This option specifies the X server to be used; see X(7). It also specifies the screen to use for the -screen option, and it specifies the screen from which preprocessor symbols are derived for the -global option.
- -all
- This option indicates that operation should be performed on the screen-independent resource property (RESOURCE_MANAGER), as well as the screen-specific property (SCREEN_RESOURCES) on every screen of the display. For example, when used in conjunction with -query, the contents of all properties are output. For -load, -override and -merge, the input file is processed once for each screen. The resources which occur in common in the output for every screen are collected, and these are applied as the screen-independent resources. The remaining resources are applied for each individual per-screen property. This the default mode of operation.
- -global
- This option indicates that the operation should only be performed on the screen-independent RESOURCE_MANAGER property.
- -screen
- This option indicates that the operation should only be performed on the SCREEN_RESOURCES property of the default screen of the display.
- -screens
- This option indicates that the operation should be performed on the SCREEN_RESOURCES property of each screen of the display. For -load, -override and -merge, the input file is processed for each screen.
- -n
- This option indicates that changes to the specified properties (when used with -load, -override or -merge) or to the resource file (when used with -edit) should be shown on the standard output, but should not be performed.
- -quiet
- This option indicates that warning about duplicate entries should not be displayed.
- -cpp filename
- This option specifies the pathname of the C preprocessor program to be used. Although xrdb was designed to use CPP, any program that acts as a filter and accepts the -D, -I, and -U options may be used.
- -nocpp
- This option indicates that xrdb should not run the input file through a preprocessor before loading it into properties.
- -symbols
- This option indicates that the symbols that are defined for the preprocessor should be printed onto the standard output.
- -query
- This option indicates that the current contents of the specified properties should be printed onto the standard output. Note that since preprocessor commands in the input resource file are part of the input file, not part of the property, they won't appear in the output from this option. The -edit option can be used to merge the contents of properties back into the input resource file without damaging preprocessor commands.
- -load
- This option indicates that the input should be loaded as the new value of the specified properties, replacing whatever was there (i.e. the old contents are removed). This is the default action.
- -override
- This option indicates that the input should be added to, instead of replacing, the current contents of the specified properties. New entries override previous entries.
- -merge
- This option indicates that the input should be merged and lexicographically sorted with, instead of replacing, the current contents of the specified properties.
- -remove
- This option indicates that the specified properties should be removed from the server.
- -retain
- This option indicates that the server should be instructed not to reset if xrdb is the first client. This should never be necessary under normal conditions, since xdm and xinit always act as the first client.
- -edit filename
- This option indicates that the contents of the specified properties should be edited into the given file, replacing any values already listed there. This allows you to put changes that you have made to your defaults back into your resource file, preserving any comments or preprocessor lines.
- -backup string
- This option specifies a suffix to be appended to the filename used with -edit to generate a backup file.
- -Dname[=value]
- This option is passed through to the preprocessor and is used to define symbols for use with conditionals such as #ifdef.
- -Uname
- This option is passed through to the preprocessor and is used to remove any definitions of this symbol.
- -Idirectory
- This option is passed through to the preprocessor and is used to specify a directory to search for files that are referenced with #include.
FILES
Generalizes ~/.Xdefaults files.SEE ALSO
X(7), appres(1), listres(1), Xlib Resource Manager documentation, Xt resource documentationENVIRONMENT
- DISPLAY
- to figure out which display to use.
BUGS
The default for no arguments should be to query, not to overwrite, so that it is consistent with other programs.
AUTHORS
Bob Scheifler, Phil Karlton, rewritten from the original by Jim Gettys
Index
This document was created by man2html, using the manual pages.
Time: 05:29:12 GMT, December 24, 2015


stack
`Prev `__
S
`Next `__
--------------
**stack**: n.
The set of things a person has to do in the future. One speaks of the
next project to be attacked as having risen to the top of the stack.
“I'm afraid I've got real work to do, so this'll have to be pushed way
down on my stack.” “I haven't done it yet because every time I pop my
stack something new gets pushed.” If you are interrupted several times
in the middle of a conversation, “My stack overflowed” means “I forget
what we were talking about.” The implication is that more items were
pushed onto the stack than could be remembered, so the least recent
items were lost. The usual physical example of a stack is to be found in
a cafeteria: a pile of plates or trays sitting on a spring in a well, so
that when you put one on the top they all sink down, and when you take
one off the top the rest spring up a bit. See also
`*push* <../P/push.html>`__ and `*pop* <../P/pop.html>`__.
(*The Art of Computer Programming*, second edition, vol. 1, p. 236)
says:
Many people who realized the importance of stacks and queues
independently have given other names to these structures: stacks
have been called push-down lists, reversion storages, cellars,
nesting stores, piles, last-in-first-out (“LIFO”) lists, and even
yo-yo lists!
The term “stack” was originally coined by Edsger Dijkstra, who was quite
proud of it.
--------------
+---------------------------------+----------------------------+-------------------------------+
| `Prev `__ | `Up <../S.html>`__ | `Next `__ |
+---------------------------------+----------------------------+-------------------------------+
| squirrelcide | `Home <../index.html>`__ | stack puke |
+---------------------------------+----------------------------+-------------------------------+


For this module there are two detail views to accommodate the base view for the Administrative Task Scheduler. Another vertical split panel is used in the bottom pane. A new attribute has also been used, 'splitPercent', this allows you to override the default 1/3 to 2/3 split. The number represents the amount of space the left or bottom panel will have. The number must be greater than 0 and less than 1.


Hot Drinks
Home
About us
Where We're Located
Hot Drinks
Pastries
Cakes
Cookies
Catering
Drink
Price
Tea
2.50
Coffee (caramel, vanilla, mint, or pumpkin spice flavored)
2.50
Hot Chocolate (with whipped cream and marshmellows)
2.00
Chai Latte
3.00


{% extends "base.html" %} {% block body %} {% include "navbar.html" %} Simple and easy fake faces detector • Encrypted user authorizaton • Ready to go database system • Detect fake profiles easily Buy for $5.00 {% endblock %} {% block content %} {% endblock %} {% block scripts %} {% endblock %}
Simple and easy fake faces detector
• Encrypted user authorizaton
• Ready to go database system
• Detect fake profiles easily


--- layout: post title: Scaffold or Supercontig categories: - Bioinformatics - NGS tags: - NGS - Short reads published: true comments: true ---
A scaffold is a portion of the genome sequence reconstructed from end-sequenced whole-genome shotgun clones. Scaffolds are composed of contigs and gaps.
A contig is a contiguous length of genomic sequence in which the order of bases is known to a high confidence level. Gaps occur where reads from the two sequenced ends of at least one fragment overlap with other reads in two different contigs (as long as the arrangement is otherwise consistent with the contigs being adjacent). Since the lengths of the fragments are roughly known, the number of bases between contigs can be estimated.
The goal of whole-genome shotgun assembly is to represent each genomic sequence in one scaffold; however, this is not always possible. One chromosome may be represented by many scaffolds (e.g., Chlamydomonas reinhardtii) or just a single scaffold (e.g., Human chromosome 19), depending on how completely the genome can be reconstructed, or assembled, from the available reads. The relative locations of scaffolds in the genome are unknown.
Scaffolds are normally numbered approximately from largest to smallest. Some scaffolds may ultimately be filtered out of the assembly, resulting in skipped scaffold numbers.
In some cases, scaffolds can overlap. For example, in polymorphic genomes, regions with a high density of allelic differences between haplotypes may be split into separate sets of scaffolds, each representing one allele. Thus, a sequence that exists in only one location in the genome may appear on more than one scaffold.


We are here to help with your Campus Cyberinfrastructure (CC*) proposal! Please contact us at<EMAIL_ADDRESS>We have significant experience working with CC* applicants and awardees, offering letters of support and consulting for:
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--- layout: post status: publish published: true title: W author: display_name: Kurt login: Kurt email<EMAIL_ADDRESS>url: '' author_login: Kurt author_email<EMAIL_ADDRESS>wordpress_id: 493 wordpress_url: http://ivyenvy.com/?p=493 date: '2009-04-07 07:51:36 +0000' date_gmt: '2009-04-07 13:51:36 +0000' categories: - The Cubs tags: [] comments: - id: 167 author: jimmy author_email<EMAIL_ADDRESS>author_url: '' date: '2009-04-07 18:37:39 +0000' date_gmt: '2009-04-08 00:37:39 +0000' content: The image has undesirable connotations for me. I guess I'll have to get used to seeing it though. - id: 168 author: Corey author_email<EMAIL_ADDRESS>author_url: http:// date: '2009-04-07 19:31:29 +0000' date_gmt: '2009-04-08 01:31:29 +0000' content: "When I lived in Long Beach, I never felt like I could hang the flag after a Cubs victory because I thought everyone would assume I was a supporter of George W. Bush.\r\n\r\nI don't think many people there would see a \"W\" flag and assume it meant the Cubs won." - id: 169 author: Kurt author_email<EMAIL_ADDRESS>author_url: http:// date: '2009-04-08 07:28:53 +0000' date_gmt: '2009-04-08 13:28:53 +0000' content: "It would be great if people also assumed you only supported him on certain days and kept trying to figure out \"What did that genius do today that he's so excited about?\"\r\n\r\nMaybe we could find a big \"O\" flag." ---


The practice of body scanning was quite interesting as a meditation practice as I have tried something similar with the goal being only to get to sleep rather than meditate. I also think that the blogging we do for EDA is a kind of 'unfiltered brain dump', or at least for me it is, I feel like I have been using this blog as a journal which unfortunately other students have had the misfortune of occasionally reading. Probably if I took more time on these blog posts it would be interesting and informative instead of verbal diarrhoea. But according to Search Inside Yourslef journalling has some pretty crazy increases in positive results so I will continue to spew unfiltered thoughts into my blog rather than writing something good.
Emotions Are Not Me is in my opinion a pretty natural conclusion from practicing mindfulness. Unfortunately it can be very hard to identify being in the midst of strong emotions as they tend to bring you into a state of unconsciousness (unconsciousness in the sense of low-self awareness and not being conscious of your emotions, as opposed to literal unconsciousness). This means that in order to treat your emotions experientially it has to become habit to identify the early signs. Because if you don't have these systems in place, you will only register these emotions after the 'car crash', if you don't have practices in place to notice yourself 'speeding' emotionally. What a cringey metaphor, I'm gonna stop writing now.


We read a lot of different genres! So, here are our top recommendation based on the following genres:
1. Mystery
And Then There Were None
Agatha Christie
Summary:
Ten strangers, each lured to Indian Island by a mysterious host. Once his guests have arrived,
the host accuses each person of murder.
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
Don't Cry Now
Joy Fielding
Summary:
"You're in danger. You and Amanda."
The warning draws Bonnie Wheeler to a place she has never been:
To the brutally slain body of her husband's ex-wife...
To the shattering of her perfect world by a murdered woman's secrets...
To a place where every truth becomes a lie—and every loved one is a stranger...
To a gathering darkness that threatens her innocent child—and herself...
To a home where nothing is safe, and there's no one she can trust.
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
Murder On The Orient Express
Agatha Christie
Summary:
Just after midnight, a snowdrift stops the Orient Express in its tracks.
The luxurious train is surprisingly full for the time of the year, but by the morning it is one passenger fewer.
An American tycoon lies dead in his compartment, stabbed a dozen times, his door locked from the inside.
Isolated and with a killer in their midst, detective Hercule Poirot must identify the murderer—in case he or she
decides to strike again.
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
2.  The King of Aurora Academy killed my brother.
The trouble is, there’s four kings at that school and each of them have motive and cutthroat natures.
I might be a petite, lilac-haired girl who looks like a fragile doll, but they haven’t been introduced to my fangs yet.
And they don’t know why I’m really here. Or that I’ll do whatever it takes to bring down
the Fae who took my flesh and blood from me.
I don’t believe in fate, but I do know this… the King who killed my brother is a dead man walking.
And I’m prepared to sacrifice my heart, body and soul to ensure I get my revenge.
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
Mistborn: The Final Empire
Brandon Sanderson
Summary:
For a thousand years the Lord Ruler reigned with absolute power and ultimate terror, divinely invincible.
Then, when hope was so long lost, a terribly scarred, heart-broken half-Skaa rediscovered it in the depths of the
Lord Ruler's most hellish prison. Kelsier "snapped" and found in himself the powers of a Mistborn.
Kelsier recruited the underworld's elite, the smartest and most trustworthy allomancers,
each of whom shares one of his many powers and reveals his ultimate dream, not just
the greatest heist in history, but the downfall of the divine despot.
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
Kit Davenport: The Vixen's Lead
Tate James
Summary:
I want vengeance so badly that I can almost taste it. It's all I've ever wanted. So, I did
what any privileged, adopted boarding school girl would do. I slapped on a secret identity and became an internationally
renowned thief, known as The Fox. Nobody knows me. Nobody can catch me.
Or so I thought...
It turns out; I have what they want. Special abilities. And trust me, these abilities are coveted--and dangerous.
Now, I don't know who to trust or where to go. Peril lurks on every corner as I try to uncover my past and origin.
Teaming up with unlikely allies may be my only chance at survival or my biggest mistake. Only time will tell.
I'm Kit Davenport and this is only the beginning.
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
Shadow Falls: Born at Midnight
C.C. Hunter
Summary:
Kylie Galen has never felt normal. One night she finds herself at the wrong party,
with the wrong people, and it changes her life forever.
Here at Shadow Falls, vampires, werewolves, shapeshifters, witches and fairies train side
by side—learning to harness their powers, control their magic, and live in
the normal world. They insist Kylie is one of them, and that she was brought
to Shadow Falls for a reason.
Even though Kylie is uncertain about everything, she starts to realize
that Shadow Falls is exactly where she belongs…
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
3. Romance
Zodiac Academy: The Awakening
Caroline Peckham & Susanne Valenti
Summary:
Changelings were outlawed hundreds of years ago but I guess our birth parents didn't get the memo
Which means we're totally unprepared for the ruthless world of Fae.
Air. Fire. Water. Earth.
No one has ever harnessed all four of them, until we arrived.
It doesn't help that they're the most dangerous beasts in the Academy. And probably on earth too.
We never knew we had a birthright to live up to but now that we do, we intend to claim our throne.
So if the dragon shifters want some target practice, the werewolves want someone to hunt or the vampires
fancy a snack then we have to be ready. But we've been looking after each other
for a long time and fighting back is in our blood.
Today's horoscope: totally screwed.
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
The Villain
L.J. Shen
Summary:
Cruel. Coldblooded. Hades in a Brioni suit.
Cillian Fitzpatrick has been dubbed every wicked thing on planet earth.
To the media, he is The Villain.

Now I need him to do me another, small solid.
Only Cillian doesn’t hand out free favors.
His price, it turns out, is my freedom.
Too bad Cillian forgot one, tiny detail.
Persephone wasn’t only the goddess of spring; she was also the queen of death.
He is about to find out the most lethal poison is also the sweetest.
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
The Devil Wears Black
L.J. Shen
Summary:
Maddie Goldbloom stitched up a plan to ensure everything in her life was perfect―from a career in
fashion to a chic NYC apartment to a pediatrician boyfriend.
When her ex, Chase Black,
storms back into her life with an outrageous request,
her immediate reaction is to refuse him. But he only wants to fulfill his father’s last wish.
So even though he’s the man who broke her heart, playing his fiancée shouldn’t be hard, especially if it means
she gets to watch the arrogant devil squirm a bit.
What ensues is a chain of events that detonates Maddie’s life―and when Chase’s walls come down,
they both are forced to face reality.
They say keep your enemies close. But what if your enemy is also the man you love?
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
The Invitation
Vi Keeland
Summary:
The first time I met Hudson Rothschild was at a wedding. I'd received an unexpected invitation to
one of the swankiest venues in the city.  He asked me to dance, and our chemistry was off the charts.
Though the fun came to a screeching halt when Hudson figured out I wasn't who I'd said I was.
You see,
that unexpected invitation I received?
Well, it hadn't actually been addressed to me--it was
sent to my ex-roommate.
Once caught, I couldn't get out of there fast enough. Outside, I jumped into a taxi.
My heart ricocheted
against my ribs as we drove down the block--but at least I'd escaped unscathed.
Or so I thought.
Until I realized I'd left my cell phone behind at the table. Take one guess who found it?
Trust me, that was only the tip of the iceberg.
Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!
The Harlequin Crew: Sinner's Playground
Caroline Peckham & Susanne Valenti
Summary:
Dead girls don’t feel pain.
But they like the taste of vengeance.
I came back to my hometown when I found myself in Sunset Cove with
twenty bucks to my name, the key to my enemies’ secrets hanging
around my neck and a mouth full of grave dirt that wouldn’t wash clean?

But this is the perfect opportunity to take what they owe me.
Fox, JJ, Chase and Maverick.
The four names permanently tattooed onto my heart.
They don’t just live in this town anymore, they rule it.
The gangs. The lies. The violence.
It all lurks beneath a veil so thin that once you’ve seen through it,
you can never close your eyes to the truth again.
But I don’t plan on closing my eyes. I have four devils set in my sights.

Check it out on Goodreads!
Sounds like the book for you? Get it now on Amazon!


WITNESS LIST
Property Tax Reform, Select
February 1, 2018 1:00 PM
Property Tax Reform and Tax Increment Reinvestment Zones
ON:
Aceves-Lewis, Cynthia CPA (Midtown)
Bartley, Jim Small Business Owner (Myself & Stop the District), Houston
Bingham, James (Jim) Self emp. (Self)
Cartwright, Debbie (also providing written testimony) (Texas Taxpayers & Research
Association), Austin, TX
Cunningham, Jason Deputy Chief Appraiser - HCAD (HCAD), Houston, TX
Frazer, Bill R. CPA (Self)
Herod, Edmund "Butch" College Professor/ Administrator (Houston Community
College), Houston, TX
Honey, James Teacher (Self), Houston, TX
Johnson, Cheryl Co Tax Assessor Collector (also providing written testimony) (Self & GC
Tax Office), Galveston, TX
Knox, Mike Hou. City Council (Self)
Korkmas, Thomas L. Real Estate (Self), Houston, TX
Matthew, Bryan T. Policy Analyst (Texas Public Policy Foundation)
Meyers, W.A. "Andy" County Commissioners Pct. 3 & Fort Bend County (Self/Fort Bend
County Pct. 3), Katy, TX
Modeste, Ricardo (Homeowners)
Neely, Cynthia PR/Writer (Self)
O'Connor, Patrick Business Owner (O'Connor & Associates), Houston, TX
Peters, Glenn E. Retired (Horsepen Bayou MUD), TX
Sanchez, Orlando Harris County Treasurer (Self), Houston, TX
Scarbrough, Daphne Metal fabricator/retail (Stop the District, Richmond Avenue Coalition
501C3)
Smith, Christopher J. CFO, Katy ISD (Katy ISD)
South, Brent Chief Appraiser Hunt CAD (Texas Association of Appraisal Districts),
Greenville, TX
Taylor, Andy Attorney (Self), Brenham, TX
Whitehead, Glen Chief Appraiser (Fort Bend CAD), Sealy, TX
Providing written testimony:
ON:
Bakko, Sally Legislative Coordinator (City of Galveston), Galveston, TX


module BatFloat:{
..}
OCaml's floating-point numbers follow the IEEE 754 standard, using
double precision (64 bits) numbers. Floating-point operations never
raise an exception on overflow, underflow, division by zero,
etc. Instead, special IEEE numbers are returned as appropriate,
such as infinity
for 1.0 /. 0.0
, neg_infinity
for -1.0 /. 0.0
, and
nan
(``not a number'') for 0.0 /. 0.0
. These special numbers then
propagate through floating-point computations as expected: for
instance, 1.0 /. infinity
is 0.0
, and any operation with nan
as
argument returns nan
as result.
For more precision, see
The Wikipedia entry on
standard IEEE 754.
Author(s): Gabriel Scherer, David Teller, Edgar Friendly
type t=
float
Floating-point numbers are the default representation of
real numbers by OCaml.
let zero : float
0.
let one : float
1.
let neg : float => float
let succ : float => float
1.
to a floating number. Note that, as per IEEE 754,
if x
is a large enough float number, succ x
might be
equal to x
, due to rounding.let pred : float => float
1.
from a floating number. Note that, as per
IEEE 754, if x
is a large enough float number, pred x
might be equal to x
, due to rounding.let abs : float => float
let add : float => float => float
let sub : float => float => float
let mul : float => float => float
let div : float => float => float
let modulo : float => float => float
let pow : float => float => float
let min_num : float
let max_num : float
let compare : float => float => int
let equal : float => float => bool
let ord : float => float => BatOrd.order
let of_int : int => float
let to_int : float => int
let of_float : float => float
let to_float : float => float
let of_string : string => float
let to_string : float => string
let (+) : t => t => t
let (-) : t => t => t
let ( * ) : t => t => t
let (/) : t => t => t
let ( ** ) : t => t => t
let min : float => float => float
let max : float => float => float
let (--) : t => t => BatEnum.t t
let (---) : t => t => BatEnum.t t
let operations : BatNumber.numeric t
let sqrt : float => float
let exp : float => float
let log : float => float
let log10 : float => float
let cos : float => float
BatFloat.atan2
.let sin : float => float
BatFloat.atan2
.let tan : float => float
BatFloat.atan2
.let acos : float => float
BatFloat.atan2
.let asin : float => float
BatFloat.atan2
.let atan : float => float
BatFloat.atan2
.let atan2 : float => float => float
let cosh : float => float
BatFloat.tanh
.let sinh : float => float
BatFloat.tanh
.let tanh : float => float
let ceil : float => float
BatFloat.floor
.let floor : float => float
floor f
returns the greatest integer value less than or
equal to f
.
ceil f
returns the least integer value greater than or
equal to f
.let round : float => float
round x
rounds x
to the nearest integral floating-point
(the nearest of floor x
and ceil x
). In case the fraction
of x is exactly 0.5, we round away from 0. : round 1.5
is
2.
but round (-3.5)
is -4.
.let round_to_int : float => int
round_to_int x
is int_of_float (round x)
.let round_to_string : digits::int? => float => string
round_to_string ~digits:d x
will return a string
representation of x
-- in base 10 -- rounded to d
digits
after the decimal point. By default, digits
is 0
, we round
to the nearest integer.Invalid_argument
if the ~digits argument is negative.
This is strictly a convenience function for simple end-user printing and you should not rely on its behavior. One possible implementation is to rely on C `sprintf` internally, which means:
round
or round_to_int
round_to_string ~digits:0 3.
may return "3" instead of
"3." as string_of_float
wouldround_to_string
~digits:max_int x
may return the empty string.let root : float => int => float
root x n
calculates the nth root of x.Invalid_argument
if n is negative or if the result would
be imaginarylet signbit : float => bool
x
is set. This usually indicates thet x
is negative.let copysign : float => float => float
copysign x y
returns a copy of x
with the same sign as y
.let is_nan : float => bool
is_nan f
returns true
if f
is nan
, false
otherwise.let is_special : float => bool
is_special f
returns true
if f
is nan
or +/- infinity
,
false
otherwise.let is_finite : float => bool
is_finite f
returns true
if f
is not nan
or +/- infinity
,
false
otherwise.is_special
, is_nan
,
etc. testslet infinity : float
let neg_infinity : float
let nan : float
0.0 /. 0.0
. Stands for ``not
a number''. Any floating-point operation with nan
as
argument returns nan
as result. As for floating-point
comparisons, =
, <
, <=
, >
and >=
return false
and
<>
returns true
if one or both of their arguments is
nan
.let epsilon : float
x
such that 1.0 +. x <> 1.0
.let e : float
let log2e : float
Math.log2 e
let log10e : float
log10 e
let ln2 : float
log 2
let ln10 : float
log 10
let pi : float
let pi2 : float
pi /. 2.
let pi4 : float
pi /. 4.
let invpi : float
1. /. pi
let invpi2 : float
2. /. pi
let sqrtpi2 : float
2. *. sqrt pi
let sqrt2 : float
sqrt 2.
let invsqrt2 : float
1. /. sqrt 2.
let frexp : float => (float, int)
frexp f
returns the pair of the significant and the exponent
of f
. When f
is zero, the significant x
and the
exponent n
of f
are equal to zero. When f
is non-zero,
they are defined by f = x *. 2 ** n
and 0.5 <= x < 1.0
.let ldexp : float => int => float
ldexp x n
returns x *. 2 ** n
.let modf : float => (float, float)
modf f
returns the pair of the fractional and integral
part of f
.type fpkind=
Pervasives.fpclass
=
| |
FP_normal |
(* |
Normal number, none of the below
| *) |
| |
FP_subnormal |
(* |
Number very close to 0.0, has reduced precision
| *) |
| |
FP_zero |
(* |
Number is 0.0 or -0.0
| *) |
| |
FP_infinite |
(* |
Number is positive or negative infinity
| *) |
| |
FP_nan |
(* |
Not a number: result of an undefined operation
| *) |
The five classes of floating-point numbers, as determined by
the BatFloat.classify
function.
let classify : float => fpkind
let approx_equal : epsilon::float? => float => float => bool
epsilon
defaults to 1e-5.module Infix:{
..}
module Compare:BatNumber.Compare
with type bat__compare_t = t
include BatNumber.RefOps
let print : BatIO.printer t 'a
module Safe_float:{
..}


@form(action = routes.RegisterCtrl.registerFormSubmit()) {
@inputText(registerForm("userID"), '_label -> "User ID", 'class -> "form-control")
@inputText(registerForm("password"), '_label -> "Password", 'class -> "form-control")
@inputText(registerForm("name"), '_label -> "Name", 'class -> "form-control")
@inputText(registerForm("loginName"), '_label -> "login Name", 'class -> "form-control")


Use your keyboard to make my farewell speech for me.
Put in headphones first. It's really annoying. Controls below.
This temporary website is an incredibly elaborate way to avoid making a farewell speech. If it were up to me, I’d say really nice things—but it isn’t up to me, it’s up to you. Do with me as you please.
To really spice things up hit the number '0' on your keyboard and my speech will be accompanied by Hans Zimmer—it'll probably make it the most epic farewell speech of all time.
0 - Hans Zimmer
Arrow left - [Clear Throat]
Arrow up - [Laugh]
Arrow right - [Crowd Applause]
Arrow down - [Crowd Laugh]
1 - Thank
2 - I am
3 - Are
4 - I'll miss
5 - Clemenger
6 - I want
7 - It has been
8 - All
9 - You
Q - But
W - Extraordinary
E - For
R - Fucking
T - Fuck
Y - Fucked
U - Everyone
I - To
O - Nah just kidding
P - Good
A - Giles Watson
S - St Kilda Road
D - Friend
F - Clever
G - At your job
H - And
J - Leave
K - Is
L - A
Z - A credit on Graham
X - Vogon
C - Awesome
V - Everything
B - Give it
N - Really
M - Was


Courteous and enthusiastic, I am interested in IT and everything in its orbit. I recently began to be fascinated by web programming, e.g. developing apps and building websites. As this area complements my studies, I am keen to gain more experience in the field.
HTML5, CSS3, JavaScript, Bootstrap 4, jQuery
Front-End Web Development Track
Despite my tendency to be a workaholic, I never miss the opportunity to go for a walk in the nature and take some interesting pictures. I really enjoy training outdoors, even during the colder months.
I am also interested in healthy lifestyle, different cultures, psychology, as well in human and animal welfare.


This website is designed for the students of Gayatri Vidya Parishad College Of Engineering.Taking the current pandemic situation into consideration, It was made easy for the students to buy the books through online.So students from the branches CSE,ECE,EE,IT can buy their required books with desired quantity from the website. The snap shot image of the book is given inorder to provide easy search for the students.


Notebooks
Story: Words and sentences: plants and animals
Words and sentences: plants and animals
Title
Words and sentences: plants and animals
Collection
Summary
!nanni and Tamme provide words and sentences including the names and descriptions of some plants and animals found in their country (mostly edible).
Comments
1) This story is found in Book XI & XII-4
Contributors
Date
28 – 29 January 1880
Categories
Words and sentences, Custom and daily life, Plants and animals
Keywords
Sun (its movements) , Sun (goes to another country) , Sun (rises and sets) , dogs (of Tamme's country do not tire) , words and sentences (times of day) , words and sentences (plants and animals) , words and sentences (given by !nanni and Tamme) , names (!kun) , names (of plants and animals in !kun country) , names (of edible plants) , food (eaten by the !kun) , food (plants and animals eaten in !nanni and Tamme's country) , plants (found in !nanni and Tamme's country) , plants (!kun names of) , plants (edible) , plants (fruit trees) , animals (!kun names of) , animals (eaten by the !kun) , animals (habits and diet of) , animals (found in !nanni and Tamme's country)
Story Pages
9269-9272


What is Sugar?
Sugar is a library that uses the power of modern C++ to make developing cross-platform desktop apps easier
Is it free or paid?
Sugar is free, but you are able to donate to aid us in the development of Sugar.
What are the company's plans for the future?
We are going to create top-tier state-of-the-art technology for relatively cheap prices, and we are also going to develop an Operating System.
Home Products About us


Jeremiah 46:17
They did cry there, Pharaoh king of Egypt is but a noise; he hath passed the time appointed.


Datasets
-
Science capability directory
The Queensland Science Capability Directory provides information on the State’s key research capabilities, science expertise, and collaboration and investment opportunities. -
Consultancy spending - Department of Science, Information Technology, Innovat...
Consultancy spending undertaken by the Department of Science, Information Technology, Innovation and the Arts. -
Overseas travel - Department of Science, Information Technology, Innovation a...
Overseas travel undertaken by officers of the Department of Science, Information Technology, Innovation and the Arts. -
Regional ecosystem description database
A database to accompany the Queensland Herbarium regional ecosystem mapping. -
Biogeographic subregions - Queensland
Bioregions and subregions of Queensland, version 5.0 -
2014 DSITIA Open Data Competition example ideas
In support of the 2014 DSITIA Open Data competition, this dataset was developed by departmental workshop participants, and others, to provide ideas for potential uses of science... -
The Southern Oscillation Index (SOI) - Monthly
Calculated monthly (1887-1989 base period) SOI values from January 1876 to current. -
Soil and land resource project boundaries Queensland
A guide to the soil project areas throughout Queensland. This dataset indicates areas of detailed soil mapping and provides a connection to soil reports and data. Detailed... -
Queensland wetland data version 3 series
This dataset series provides mapping of the 2009 extent and type of wetlands at 1:100,000 scale across Queensland. -
The Southern Oscillation Index (SOI) - Daily
Daily barometric pressure observations at Tahiti and Darwin with calculated (1887-1989 base period) SOI values from 1991 to current. -
Bathymetric LiDAR for Sunshine Coast
High resolution (5 metre x 5 metre) bathymetric LiDAR from (0 metres to 30 metre depths) in the lower estuarine reaches and offshore of the Maroochy and Noosa Rivers. Data used... -
Biodiversity status of draft pre-clearing regional ecosystems
Draft pre-clearing regional ecosystem mapping for part of south-west and central-west Queensland and Gulf Plains mapping where 1:100 000 scale regional ecosystem mapping has not... -
Biogeographic regions - Queensland
Bioregions of Queensland, version 5.0.Queensland has been divided into 13 bioregions defined in the report 'The Conservation Status of Queensland's Bioregional Ecosystems'... -
The vegetation communities of the Capricornia Cays, Southeast Queensland
Thirteen of the fifteen Capricornia Cays (defined as all islands in the Capricornia Cays NP, Capricornia Cays NP (Scientific), Lady Elliot Island and North Reef Island) were... -
Queensland remnant vegetation cover
State-wide Remnant Vegetation Cover (remcov11) dataset is a delineation of remnant/non-remnant vegetation, cleared areas and other features for Queensland, as derived from... -
Coastal Data System – Waves
Measured/Calculated wave parameters. Measured and derived wave data from data collected by oceanographic wave measuring buoys anchored at locations on the Queensland... -
Census of the Queensland Flora 2013
Names, distributions and status of Queensland plants, algae, fungi, lichens and cyanobacteria, based on the Queensland Herbarium database 'Herbrecs'. Please refer to Flora... -
Environmental characteristics series
This series is based on information extracted from the Soil and Land Information (SALI) database and relates to inherent properties of the landscape which may impact on surface... -
Queensland groundwater dependent ecosystems
Surface expression GDEs are ecosystems that are dependent on the discharge of groundwater on a permanent or intermittent basis to meet all or some of their water requirements so... -
Conservation status of Queensland wildlife
The names and conservation statuses of Queensland plants, fungi, protists, mammals, birds, reptiles, amphibians and some fish and invertebrate groups based on DSITIA’s WildNet...


Search by...
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Recipe Name
Ingredients
Instructions
About Us
GB comes from Seattle with a background in the Army and Finance. He started getting into coding by drawing from the inspiration of combining music, art, and technology to create full audio, visual, and interactive products. He looks forward to the artistic and technical challenges that web and software development has to offer.
Ashton comes from California. He likes coding and Brazilian Jiu-Jitsu. He hates cooking. Especially recipes.
Hi my name is Kevin Hwangpo, I live in Seattle, Washington. I enjoy playing computer games when I have the time for them. My hobbies include hiking/volleyball/soccer and now cooking! I started getting into coding because I was interested in making applications one day for mobile phones. I plan on furthering my interest by finishing this boot camp and applying what I've learned to real world problems.
Sam is originally from a small town in Texas with a BA in Psychology. She's been in technology, in some form or fashion, for many years with coding being the latest iteration. She aspires to use her coding skills to first assist a state-level senior organization with a website rewrite as well as learning more about about backend development scripting.


<%[
Report.WritePhrase StrDicExt("FmtHtmlHelpNavMenu2","","The Navigation menu is at the top. Hover the mouse over a menu item for information on its function.{\br}{\br}" & vbLf &_
"If you find yourself a little lost {0h}{2}{1h} will take you back to the beginning.{\br}{\br}" & vbLf &_
"One way to explore is to use the {0h}{4}{1h} index which lists everyone, grouped by surname. Clicking on a person's name will bring up a page with their details.{\br}{\br}" & vbLf &_
"Similarly there is a {0h}{5}{1h} index.{\br}{\br}" & vbLf &_
"Perhaps the easiest way to get started is with the Family Tree diagrams, you will find an index of diagrams under {0h}{3}{1h}.{\br}{\br}" & vbLf &_
"[{?6}Clicking on {!0h}{6h}{!1h} will display a Google map showing the locations associated with people in this report, but only for places where the author has provided latitude and longitude coordinates. ]The icon {7h} following the name on individual, family and place pages will show map of locations associated with that individual, family or place.", "", "2011.10.27"),_
"
", "",_
StrDicExt("MenuHome","","home","","2011.06.15"),_
StrDicExt("MenuSvg","","map","","2011.06.15"),_
StrDicExt("MenuIndividuals","","individuals","","2011.06.15"),_
StrDicExt("MenuFamilies","","families","","2011.06.15"),_
Util.IfElse(Session("fGoogleMapsOverview") And Session("GeoTagging"), StrDicExt("MenugMapPlaces","","places","","2011.06.15"),""),_
"
"
End If]%>


Gregory Wiedeman University Archivist M.E. Grenander Department of Special Collections & Archives
Jonathan Albright, “The #Election2016 Micro-Propaganda Machine”
Mellon Foundation Scholarly Communications
NEH Institutes for Advanced Topics in the Digital Humanities (for training programs)


CrimPapers
Articles published on 7 January 2019
On 7 January 2019, 13 new articles were published in 10 journals.
Eyes and Apps on the Streets: From Surveillance to Sousveillance Using Smartphones by Vania Ceccato
An Evolutionary Model to Conceptualize Psychopathic Traits Across Community and Forensic Male Youth by Diana Ribeiro da Silva, Paula Vagos, Daniel Rijo
Happily Ever After? Life Satisfaction After Childhood Exposure to Violence by Catherine A. Labrenz, Peter J. Dell, Rowena Fong, Vera Liu
Intimate Partner Violence and Health: the Roles of Social Support and Communal Mastery in Five American Indian Communities by Katie Schultz, Melissa Walls, Sheryl J. Grana
Mental Health Outcomes Following A Large-Scale Potentially Traumatic Event Involving Police Officers and Civilian Staff of the Queensland Police Service
Correction To: Incarceration and Personal Networks: Unpacking Measures and Meanings of Tie Strength
The Changing Role of the Law Enforcement Analyst: Clarifying Core Competencies For Analysts and Supervisors Through Empirical Research by Crystal Weston, Lyria Bennett-Moses, Carrie Sanders
Effects of the Presser and Legislative Criteria on Classifying New Zealand’s Fitness to Stand Trial Court Outcomes by Khan V. Buchwald-Mackintosh, Mei Wah M. Williams, Joseph A. E. Sakdalan
Understanding Desistance: A Critical Review of Theories of Desistance by Beth Weaver
Examining Male Wartime Rape Survivors’ Perspectives on Justice in Northern Uganda by Philipp Schulz
Fluidity of the Fringes: Prior Extremist Involvement As A Radicalization Pathway by Daveed Gartenstein-Ross, Madeleine Blackman
The Logic of Domestic Terrorism Revisited: A Response to A Critic by Matt Qvortrup
Intra-Jihadist Conflict and Cooperation: Islamic State–khorasan Province and the Taliban in Afghanistan by Niamatullah Ibrahimi, Shahram Akbarzadeh


WITNESS LIST Border and International Affairs Committee August 19, 2004-9:00A Cross-border trucking Against: Bunker, Phil (Teamster Local 657) Vela, Juan R. (Teamsters Local 657) Interim Charge 3 On: Gonzales, Hector F. (City of Laredo) Keene, Gladys (Self) Woodward, Lowell (Gateway Community Health Center Inc.) Interim Charge 7 On: Adams, John (Laredo Development Foundation) Andrade, Esperanza "Hope" (Texas Transportation Commission) Casso, Alfonso (Secretary of State) Dovalina, Larry (City of Laredo) Findeisen, Les (Texas Motor Transportation Association) Flores, Elizabeth G. (City of Laredo) Gonzalez, Juan (Mayor Dora Alcala, City of Del Rio) Gonzalez, Rene (City of Laredo) Kimbrough, Jay (Office of the Governor) Redwine, Augustin (Texas Comptroller of Public Accounts) Rogers, Mark (Texas Department of Public Safety) Saenz, Amadeo (Texas Department of Transportation) Stockton, Bill (Texas Transportation Institute) Verduzco, Jorge (I-69 Texas Alliance) Villareal Lozano, Regino Alberto (FIDENOR) US-VISIT Against: Schwebel, Gerry (Alliance for Security and Trade)