library(tidyverse)
library(cowplot)
library(viridis)
library(knitr)
library(kableExtra)
knitr::opts_chunk$set(tidy.opts=list(width.cutoff=60),tidy=TRUE, echo = TRUE, message=FALSE, warning=FALSE, fig.align="center")
source("../../../IDA/tools/plotting_tools.R")
theme_set(theme_1())
These experiments were performed by Eric Stemp, a former Barton Lab postdoc, and long time collaborator. I prepared the biofilms and helped pipette a few things.
The goal of these experiments was to assess whether or not biofilm eDNA was capable of supporting DNA CT between two known redox intercalators. My understanding of the way this works is that \(Ru(phen)_2dppz^{2+}\) is photoexcited by a laser, and this photoexcited state is luminescent / fluorescent so we follow this species over time. The photoexcited state can return to ground state slowly on its own or it can be quenched on different timescales by a few different processes.
The two main modes of quenching we are looking for are “dynamic quenching” and “static quenching.” I think that these terms are actually rather arbitrary, because I believe the difference is determined by the time resolution of the spectroscopy. Anyway, static quenching is a process that happens faster than the time resolution of the instrument, so it appears as just a decrease in intensity with the same lifetime. Dynamic quenching occurs on the measured timescale and appears as similiar initial intensity but different shaped decays implying different lifetimes.
The mechanisms of these two processes can be complicated, but for our purposes we consider static quenching to occur between the donor and quencher extremely fast, so that they are essentially behaving as one entity…the excited donor intermediate is not really there and the electron is immediately transferred to the quencher. Dynamic quenching can occur between a donor and quencher diffusing in solution, where the two molecules actually have to bump into each other to achieve quenching…and this is slow enough to observe.
To make a long story short, for DNA CT the Barton lab has established that we should see static quenching as the ET between the donor and quencher happens on such a fast time scale. For this experiment we are building off a body of past work and using \(Rh(phi)_2bpy^{3+}\) as the quencher / electron acceptor. See this paper for an example of the past work. The plots that we are sort of trying to replicate from this paper are shown below: The left is static quenching via DNA CT and the right is dynamic quenching in SDS micelles.
knitr::include_graphics("./static_dynamic_quenching_fig.jpg")
For this experiment I prepared WT and \(\Delta phz*\) biofilms, thinking that I could resuspend them (as for LC-MS measurements) and use that suspension in a cuvette with the metal complexes. I recently estimated the dsDNA in a WT biofilm to be ~100uM. I don’t know what it is in the \(\Delta phz*\) biofilms, but since we diluted ~10x it’s safe to think we are in the 10uM range of DNA concentration.
I grew WT and \(\Delta phz*\) biofilms as normal for 3 days at room temp. Just before the measurements (~1 hr before) I resuspended a \(\Delta phz*\) biofilm in 500uL of PBS NaCl 137mM. Later I came back and resuspended the WT biofilm in the same way, just before the measurements.
Eric brought the stocks of ctDNA, \(Ru(phen)_2dppz^{2+}\), \(Rh(phi)_2bpy^{3+}\), and we performed all of the experiments in my PBS 137.
First we did in vitro experiments with ctDNA (10uM) and 1uM Ru, then we tried 10uM ctDNA with 0.1uM Ru. My understanding is that 1:100 is the optimal stoichiometry…but we weren’t sure we would be able to observe that low Ru concentration.
We did have some issues collecting the 0.1uM Ru scans, so we decided to use 1uM Ru with the biofilms. We acquired biofilm only background scans and then added 1uM Ru, followed by 1, 2, and 4uM Rh (final concentrations). We gently shook the cuvette before measuring each time. Scans were taken pretty quickly after mixing, and the total titrations only took ~10min, so hopefully the cells were not affected.
Eric set up the laser, so I’m sure he has more details. His notes on samples and laser settings are saved as a pdf in the data directory. Also, each scan setting is saved as a header in the data files. Briefly, the Ru was excited at 532nm and emission was recorded at 620nm (or greater than 600nm?). The laser pulses were 2 mJ / pulse. The biofilm data was acquired with 9 cycles (consecutive acquisitions to improve signal to noise), with 100 shots per cycle.
The data was then converted from the ns1 format to a text .dat file with Jay Winkler’s help (a matlab script). In this notebook I am using the log compressed data files, because the raw data points are taken at a very high time resolution. This filtering keeps most datapoints at short time scales, but thins at long time scales. Seems totally fine, but we also have the raw datafiles.
Now let’s look at the data that Eric acquired. We’ll start with the in vitro conditions, and then look at the \(\Delta phz*\) and WT biofilm data.
First we did some in vitro controls with calf-thymus DNA and the Ru / Rh complexes. We wanted to know how the data might look with the concentration of dsDNA we expected in the biofilm suspensions (~10uM).
Let’s read in the data for 10uM ctDNA bp + 1uM and the stepwise Rh additions. I’m attaching the conditions to the data based on Eric’s notes (see pdf).
df_3 <- read_csv("../data/80719_3_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "10uM ctDNA + 1uM Ru -Rh")
df_4 <- read_csv("../data//80719_4_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "10uM ctDNA + 1uM Ru + 0uM Rh")
df_5 <- read_csv("../data/80719_5_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "10uM ctDNA + 1uM Ru + 1uM Rh")
df_6 <- read_csv("../data/80719_6_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "10uM ctDNA + 1uM Ru + 2uM Rh")
df_7 <- read_csv("../data/80719_7_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "10uM ctDNA + 1uM Ru + 4uM Rh")
df_ctDNA <- bind_rows(df_4, df_5, df_6, df_7)
df_ctDNA %>% head() %>% kable(digits = 15) %>% kable_styling()
| time | intensity | condition |
|---|---|---|
| -9.939e-08 | -6.27461e-04 | 10uM ctDNA + 1uM Ru + 0uM Rh |
| -9.779e-08 | 1.83761e-04 | 10uM ctDNA + 1uM Ru + 0uM Rh |
| -9.559e-08 | -1.59634e-04 | 10uM ctDNA + 1uM Ru + 0uM Rh |
| -9.339e-08 | 3.83416e-05 | 10uM ctDNA + 1uM Ru + 0uM Rh |
| -9.119e-08 | -4.81367e-04 | 10uM ctDNA + 1uM Ru + 0uM Rh |
| -8.909e-08 | 5.33984e-05 | 10uM ctDNA + 1uM Ru + 0uM Rh |
You can see that the text files are two columns with time and intensity. I added the condition column. Also note that the acquisition parameters are in the header of each file (hence the “skip = 16” lines).
Let’s see what the data look like:
ggplot(df_ctDNA, aes(x = time, y = intensity, color = condition)) +
geom_path() + scale_color_viridis_d()
Ok, it looks like one of the traces is obviously different from the others. Let’s zoom in.
ggplot(df_ctDNA, aes(x = time, y = intensity, color = condition)) +
geom_path() + xlim(NA, 1e-06) + ylim(NA, 0.02) + scale_color_viridis_d()
The one trace that is different from the others is the no Rh condition. However, it isn’t clear that there’s static quenching going on here. It may be useful to acquire an instrument response background scan with just buffer, so that we can background subtract these curves. It also looks like the curves may be saturated, so there may be an effect that’s just hard to see. Either way, the Rh gives an effect, but it does not increase in a stepwise manner. Not sure what to make of that.
One potential issue that Eric brought up was the stoichiometry of Ru/Rh to DNA bp. Not sure if that would explain the patterns, but let’s move forward to look at a lower stoichiometry with 10uM ctDNA and 0.1uM Ru.
First I’ll read in the data in the same way.
df_14 <- read_csv("../data/80719_14_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "10uM ctDNA + 0.1uM Ru -Rh")
df_15 <- read_csv("../data//80719_15_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "10uM ctDNA + 0.1uM Ru + 0.0uM Rh")
df_16 <- read_csv("../data/80719_16_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "10uM ctDNA + 0.1uM Ru + 0.1uM Rh")
df_17 <- read_csv("../data/80719_17_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "10uM ctDNA + 0.1uM Ru + 0.2uM Rh")
df_18 <- read_csv("../data/80719_18_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "10uM ctDNA + 0.1uM Ru + 0.4uM Rh")
df_ctDNA_lowRu <- bind_rows(df_14, df_15, df_16, df_17, df_18)
df_ctDNA_lowRu %>% head() %>% kable(digits = 15) %>% kable_styling()
| time | intensity | condition |
|---|---|---|
| -9.939e-08 | -5.58203e-05 | 10uM ctDNA + 0.1uM Ru -Rh |
| -9.779e-08 | 1.16410e-04 | 10uM ctDNA + 0.1uM Ru -Rh |
| -9.559e-08 | -2.25210e-04 | 10uM ctDNA + 0.1uM Ru -Rh |
| -9.339e-08 | -9.55930e-05 | 10uM ctDNA + 0.1uM Ru -Rh |
| -9.119e-08 | 1.20316e-04 | 10uM ctDNA + 0.1uM Ru -Rh |
| -8.909e-08 | 3.74648e-04 | 10uM ctDNA + 0.1uM Ru -Rh |
The data structure is the same as before. Let’s look at it plotted:
ggplot(df_ctDNA_lowRu, aes(x = time, y = intensity, color = condition)) +
geom_path() + scale_color_viridis_d()
Ok, this looks a little weird. The one curve that looks like the highest intensity should have the most Rh quencher. Perhaps I added the wrong molecule (Ru and Rh look very similar…) or the scan was weird. That said part of the dataset makes sense if we just look at the 0uM - 0.2uM Rh conditions:
df_ctDNA_lowRu_2 <- bind_rows(df_15, df_16, df_17)
ggplot(df_ctDNA_lowRu_2, aes(x = time, y = intensity, color = condition)) +
geom_path() + scale_color_viridis_d() + facet_wrap(~condition) +
guides(color = "none")
Here you can see that the Ru only sample is quenched by the addition of the Rh.  Eric mentioned that could also be because we are getting to concentrations that are probably below the Kd for Rh complex binding DNA…making it a much weaker quencher. In general though, it would be nice to background subtract out the instrument response to make sure that we are really only looking at the Ru emission…
Now for the real deal. Here we basically just repeated the 1uM Ru experiment from above, but this time with my biofilm suspension added directly to the cuvette (instead of ctDNA).
Let’s read in the data:
df_19 <- read_csv("../data/80719_19_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "dPHZ -Ru -Rh")
df_20 <- read_csv("../data//80719_20_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "dPHZ + 1uM Ru -Rh")
df_21 <- read_csv("../data/80719_21_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "dPHZ + 1uM Ru 1uM Rh")
df_22 <- read_csv("../data/80719_22_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "dPHZ + 1uM Ru 2uM Rh")
df_23 <- read_csv("../data/80719_23_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "dPHZ + 1uM Ru 4uM Rh")
df_dphz <- bind_rows(df_19, df_20, df_21, df_22, df_23)
df_dphz %>% head() %>% kable(digits = 15) %>% kable_styling()
| time | intensity | condition |
|---|---|---|
| -9.939e-08 | 3.97908e-04 | dPHZ -Ru -Rh |
| -9.779e-08 | 2.58198e-04 | dPHZ -Ru -Rh |
| -9.559e-08 | -1.65492e-04 | dPHZ -Ru -Rh |
| -9.339e-08 | -2.84336e-04 | dPHZ -Ru -Rh |
| -9.119e-08 | -2.03292e-04 | dPHZ -Ru -Rh |
| -8.909e-08 | -8.58594e-05 | dPHZ -Ru -Rh |
First let’s just look at the biofilm only scan compared to biofilm + 1uM Ru.
df_dphz %>% filter(condition %in% c("dPHZ -Ru -Rh", "dPHZ + 1uM Ru -Rh")) %>%
ggplot(data = ., aes(x = time, y = intensity, color = condition)) +
geom_path() + scale_color_viridis_d()
Here we can see two things. First, the biofilm by itself has significant fluorescence emission with these settings with a lifetime that happens on this timescale. Second, the Ru fluorescence / lifetime is actually visible above that background. So let’s look at the whole dataset:
ggplot(df_dphz, aes(x = time, y = intensity, color = condition)) +
geom_path() + scale_color_viridis_d()
# ggplot(df_dphz, aes(x = time, y = intensity, color =
# condition)) + geom_path() + xlim(NA, 1e-6)+ylim(NA,0.04) +
# scale_color_viridis_d()
Ok, it sort of look like something is happening there with the addition of the Rh. Let’s subtract the background of the biofilm only fluorescence and see how that looks. To do this we are just going to subtract the minimum value at each datapoint (which will be the biofilm only condition).
df_dphz_bg <- df_dphz %>%
group_by(time) %>%
mutate(min = min(intensity)) %>%
mutate(bg_sub = intensity - min)
ggplot(df_dphz_bg, aes(x = time, y = bg_sub, color = condition)) + geom_path() + #xlim(NA, 1e-6)+ylim(NA,0.04) +
scale_color_viridis_d()
Woah!!
First, it looks like our background subtraction worked well. The biofilm only condition now pretty much looks like a flat line at zero. Second the real crazy thing is it looks like static quenching as we add more Rh. Let’s zoom in a little more to make it nice and pretty:
ggplot(df_dphz_bg, aes(x = time, y = bg_sub, color = condition)) +
geom_path() + xlim(0, 1e-06) + ylim(NA, 0.02) + scale_color_viridis_d()
Nice! Now the last thing we should check is if the shapes of the curves are actually different or not. Remember different shape means different lifetime means dynamic quenching. Same shape (different intensity) means static quenching.
To do this, I’m just going to normalize by the max intensity within each condition (from the background subtracted intensities).
df_dphz_bg_norm <- df_dphz_bg %>%
filter(time>0) %>%
group_by(condition) %>%
mutate(max = max(bg_sub)) %>%
mutate(norm_intensity = bg_sub / max)
ggplot(df_dphz_bg_norm, aes(x = time, y = norm_intensity, color = condition)) + geom_path() + #xlim(NA, 1e-6)+ylim(NA,0.04) +
scale_color_viridis_d()
Looks like the exact same shape to me! This is really interesting and I think it’s pretty good evidence of static quenching in the biofilm suspension. See the end of the document for caveats and next steps.
We had a little time leftover, so we decided to try a different condition - a WT biofilm. I reasoned that this biofilm may have more eDNA than the dPHZ…but it could also be more complicated if any of the phenazines quench the Ru fluorescence (instead of the Rh quenching).
Let’s read in the data:
df_25 <- read_csv("../data/80719_25_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "WT + 0uM Ru + 0uM Rh")
df_26 <- read_csv("../data/80719_26_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "WT + 1uM Ru + 0uM Rh")
df_27 <- read_csv("../data/80719_27_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "WT + 1uM Ru + 1uM Rh")
df_28 <- read_csv("../data/80719_28_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "WT + 1uM Ru + 2uM Rh")
df_29 <- read_csv("../data/80719_29_compressed.dat", skip = 16,
col_names = c("time", "intensity")) %>% mutate(condition = "WT + 1uM Ru + 4uM Rh")
df_wt <- bind_rows(df_25, df_26, df_27, df_28, df_29)
df_wt %>% head() %>% kable(digits = 15) %>% kable_styling()
| time | intensity | condition |
|---|---|---|
| -9.939e-08 | -2.25339e-04 | WT + 0uM Ru + 0uM Rh |
| -9.779e-08 | 1.52250e-04 | WT + 0uM Ru + 0uM Rh |
| -9.559e-08 | -1.20494e-05 | WT + 0uM Ru + 0uM Rh |
| -9.339e-08 | -2.24802e-04 | WT + 0uM Ru + 0uM Rh |
| -9.119e-08 | -1.02643e-04 | WT + 0uM Ru + 0uM Rh |
| -8.909e-08 | -1.59453e-04 | WT + 0uM Ru + 0uM Rh |
Let’s look at all the data together:
ggplot(df_wt, aes(x = time, y = intensity, color = condition)) + geom_path() + xlim(NA, 1e-6)+ #ylim(NA,NA) +
scale_color_viridis_d()
As for dPHZ, it is clear that the biofilm has a background fluorescence, but it’s also clear that we can see the Ru signal above that background. It’s not obvious if we are seeing any difference with the Rh added.
Let’s go ahead and background subtract out the biofilm only signal in the same was as above (since that was very useful).
df_wt_bg <- df_wt %>% group_by(time) %>% mutate(min = min(intensity)) %>%
mutate(bg_sub = intensity - min)
ggplot(df_wt_bg, aes(x = time, y = bg_sub, color = condition)) +
geom_path() + ylim(NA, 0.01) + scale_color_viridis_d()
Ok, the background subtraction seems to have worked well (biofilm is flat line). The Ru signal looks a little noisier than the dPHZ (it’s less than half the intensity), and that may be due to some effect of the phenazine? More importantly, it looks like there is an effect from adding the Rh here as well. Let’s zoom in a little more and smooth to see a prettier view:
ggplot(df_wt_bg, aes(x = time, y = bg_sub, color = condition)) +
geom_point(shape = 21) + geom_smooth(span = 0.1, se = F) +
ylim(NA, 0.0075) + xlim(0, 7.5e-07) + scale_color_viridis_d()
It’s still noisy, but it looks like the peaks for the 1 and 2uM Rh are lower than the 0uM Rh. The obvious decrease comes with the 4uM Rh. Surely we could get nicer fits by actual fitting a relevant model here…but that seems overkill for now.
The only other question for the WT data is - are the peaks the same shape? Let’s normalize as before and plot:
df_wt_bg_norm <- df_wt_bg %>%
filter(time>3e-8) %>%
group_by(condition) %>%
mutate(max = max(bg_sub)) %>%
mutate(norm_intensity = bg_sub / max)
ggplot(df_wt_bg_norm, aes(x = time, y = norm_intensity, color = condition)) + geom_path() + #xlim(NA, 1e-6)+ylim(NA,0.04) +
scale_color_viridis_d()
When we normalize by the max in this time interval to focus on the peaks and not the noise beforehand we get this plot. This looks pretty good…for now I think it’s reasonable to think that these are the same shape and represent the same lifetime.
I take this experiment to be reasonable preliminary data that static quenching does occur between our \(Ru(phen)_2dppz^{2+}\) and \(Rh(phi)_2bpy^{3+}\) complexes in DNA associated with the biofilms. Based on Jackie’s work it is reasonable to speculate that the static quenching is occuring through DNA CT.
One caveat that I think we may want to address if this type of data actually goes in the paper - is the DNA mediating the effect extracellular DNA that existed in the biofilm, or is it genomic DNA from live or recently killed cells. In order to know this we would like to know how much the complexes are getting into live cells and how fast (if at all) the complexes might kill the biofilm cells.
Broadly, this biofilm suspension isn’t really a biofilm anymore, and so that is a caveat because we’ve taken away all the structure. If we ever had a way to perform these measurements in situ (e.g. time resolved fluorescence microscopy) that would be very cool.
The final data analysis caveat - by background subtracting we are assuming that the biofilm autofluorescence isn’t interacting at all with the Ru emission…and I don’t think we can know that for sure.
If we want to continue a few more experiments down this path I think that we should acquire some replicate biofilm measurements with WT and dPHZ as well as exponentially growing cells. We should try to image the Ru fluorescence in the biofilm suspension and measure eDNA concentration via TOTO-1 fluorescence. We should also do some toxicity tests incubating the biofilm suspensions with the metal complexes for different amounts of time and performing CFUs. The other interesting avenue to pursue is whether PYO can actually quench \(Ru(phen)_2dppz^{2+}\). Eric seemed to have tried a few things with this and it didn’t sound straightforward…but who knows. A possible in vivo experiment to try would be to look at a \(\Delta phz*\) biofilm + / - PYO (in the agar) as a potential quencher.


{{ dietGroupDropdown.selectedItem.description }}
| Feedstuff | Minimum (kg) | Maximum (kg) | Cost per {{ mixWeight }} kg | Actions |
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We recommend you use {{ formulationIngredient.suggestedValue.minimum }} kg per 1000 kg as a minimum. |
We recommend you use {{ formulationIngredient.suggestedValue.maximum }} kg per 1000 kg as a maximum. Warning: Urea (and biuret) are non-protein nitrogen (NPN) substances and may be used only in the rations for Ruminants, and then preferably, with a maximum inclusion level of 0,4%. It is toxic for all monogastric animals. Never include them in the rations for horses, pigs, poultry, etc. |
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Hello all,

 I have just started to use Gecode as part of a
university course on CSP.

 First, congrats for the tool and the amazing work you do in
supporting it.

 I am trying to install the tool on a Windows 8 system
and some doubts have arised during the process as well as some issues related to
Cygwin. I have made some effort on reading the documentation (Chapter 2 mainly
of MGP) and reviewed some previous questions on this list.

 Going to the point:

 1) On a Windows installation, using the .msi packages.
Is it required to do something else? I understand not but want to be sure. I
don’t want to start working and then finding that the installation was not
properly completed.

 I have missed a Test.exe that
validates that the installation is OK as it exists for Linux although I also
understand that if nothing needs to be done after msi install, then the test
would be very simple (if any needed).

 Does this means that I can use
Gecode on a 100% Windows environment (no cygwin at all)? Section 2.3.1 indicates
in other direction and combines VSstudio with Cygwin. Is that required or just
an option? I understand I have all the .h* and libs in the installation
folder.

 The documentation(section 2.6.1)
refers to pre-compiled binaries... are those the .msi or do you refer to the
.tar.gz?

 2) On a Windows installation using cygwin, that I have
also attempted. I have been able to make the install using CC=”gcc”
CXX=”g++”.

 Everything gets installed,
even to the /usr/local folders and the Test.exe shows everything is
working.

 I need this to work since the
teacher uses a Linux machine for the lab classes. In addition some scripts are
distributed to compile some examples that I would need to modify during the
class.

 I cab compile but I have
not been able to link.

 Here is where I have my
doubts. I have read in some old questions to the list, that you were considering
not supporting cygwin with g++/gcc due to the problems with dynamic linking. The
discussions date back to 2008 and 2010.

 Is it a supported
configuration?

 Which additional settings
should I add to my linking command?

 g++ -o basic -L/usr/local/lib basic.o -lgecodedriver
-lgecodesearch -lgecodeminimodel -lgecodeint -lgecodekernel
–lgecodesupport

 Thanks in advance for your
support.

 Jose A.
Magaña


Our lab is part of the Electrical and Computer Engineering Department in the College of Engineering at the University of Massachusetts Amherst.
Our lab focuses on the development of new mechanisms that contribute to the creation of the Future Internet. Our research focuses specifically on new algorithms, protocols, and systems that support Cyber-Physical and Multimedia Systems. For further and more detailed information on our research click here).
We are located at Leiden University, the birthplace of superconductivity and home to Kamerlingh Onnes, Lorentz, Huygens, Einstein, de Sitter, and others (see e.g. the wall of signatures from Ehrenfest lecturers). We exchange ideas and work with our neighbors from Quantum Matter & Optics, as well as with the colleagues from our world-class theory section.
Our research is supported through funding from the National Science Foundation, the National Weather Service, and the Office of Naval Reseach. In addition Prof. Zink is currently the recipient of a Mercator Fellowship from the Deutsche Forschungs Gemeinschaft.
Mike is presenting our paper on An Evaluation of SDN and NFV Support for Parallel, Alternative Protocol Stack Operations at ICC 2018.
21. May 2018Only 3 weeks until the start of ACM Multimedia Systems 2018. Take look at the very interesting program.
2. February 2018UMass produces short video describing CASA's counter drone research.
10. November 2017Doohee makes the third place at the LION Image Award.


Malaysian
frontend web engineer
art created with the assistance of a non-human, autonomous system
simple instructions repeated -> interesting visuals
### maze
```python
for row in grid:
for cell in row:
if random() > 0.5:
draw line from bottom right to top left of cell
else
draw line from bottom left to top right of cell
```
### recursive hexagon
```ruby
create a grid of hexagon tilings
4.times do
for each hexagon do
replace with a smaller hexagon
in the middle
border each vertex of the hexagon
with 4 small triangles
end
end
fill each hexagon with a random teal shades
fill each triangle with a random translucent pink shade
```
### gauze
```txt
set stroke color to a translucent grey
pick random points p0, p1, p2, p3
while true
draw a bezier curve with points
p0, p1, p2, p3
move each point p0, p1, p2, p3
ever so slightly in a random direction
```
### constellations
```ruby
# create 20 random circles
20.times do
x = random()
y = random()
circles.push({
center: Point.new(x, y),
radius: random()
})
end
# for all intersecting circles
# draw line between their centers
for c1 in circles do
for c2 in circles do
if c1 and c2 intersect
line(c1.center, c2.center)
end
end
end
```
### synesthesia
```txt
assign a colored square to each alphabet.
now, spell your name.
```
tweet at me
@piratefsh
koch tessellation
one level deeper


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import include._ @import uk.gov.hmrc.thirdpartydeveloperfrontend.domain.models.developers.DeveloperSession @import uk.gov.hmrc.thirdpartydeveloperfrontend.domain.models.applications.Application @import uk.gov.hmrc.thirdpartydeveloperfrontend.domain.models.controllers.Crumb @import uk.gov.hmrc.thirdpartydeveloperfrontend.controllers.routes @this(devMain: DevMain) @(app: Application)( implicit request: play.api.mvc.Request[Any], loggedIn: DeveloperSession, messages: Messages, applicationConfig: ApplicationConfig) @devMain( title = "Remove IP allow list", userFullName = loggedIn.loggedInName, developerSession = Some(loggedIn), breadcrumbs = Seq( Crumb.application(app), Crumb.viewAllApplications, Crumb.home ) ) {
You can set up a new IP allow list at any time.
@helper.form(action = routes.IpAllowListController.removeIpAllowlistAction(app.id)) { @helper.CSRF.formField }


--- layout: documentation title: InfrastructureType ---
| Field Name | Type | Description |
|---|---|---|
| @idoptional | QName |
Specifies a unique ID for this class or instance of Infrastructure. |
| @idrefoptional | QName |
Specifies a reference to the ID for this class or instance of Infrastructure specified elsewhere. |
| Title0..1 | string |
The Title field provides a simple title for a class or instance of Infrastructure utilized for cyber attack. |
| Type0..n | ControlledVocabularyStringType |
The Type field represents the type of infrastructure being described. This field is implemented through the xsi:type controlled vocabulary extension mechanism. The default vocabulary type is AttackerInfrastructureTypeVocab-1.0 in the http://stix.mitre.org/default_vocabularies-1 namespace. This type is defined in the stix_default_vocabularies.xsd file or at the URL http://stix.mitre.org/XMLSchema/default_vocabularies/1.1.1/stix_default_vocabularies.xsd. Users may also define their own vocabulary using the type extension mechanism, specify a vocabulary name and reference using the attributes, or simply use this as a string field. |
| Description0..1 | StructuredTextType |
The Description field is optional and provides an unstructured, text description of specific classes or instances of infrastructure utilized for cyber attack. |
| Short_Description0..1 | StructuredTextType |
The Short_Description field is optional and provides a short, unstructured, text description of specific classes or instances of infrastructure utilized for cyber attack. |
| Observable_Characterization0..1 | ObservablesType |
The Observable_Characterization field provides structured characterization of the cyber observables detailing specific classes or instances of infrastructure utilized for cyber attack. |


Hi Halit,

You should find the description of a propagator for this constraint on undirected graphs (as a sub-component of a larger propagator) in this paper:
http://www.springerlink.com/content/25503116766r373x/

In summary, a simple propagator consists in doing a DFS in the graph of all possible edges and computing all bridges and cutnodes. Include those which join two biconnected components which you know belong to the graph must belong to the graph. Discard the connected components which are disjoint from the main connected component of your graph.

Best,
--
Greg

On Tue, May 19, 2009 at 8:47 AM, Christian Schulte <<a href="mailto:cschulte<EMAIL_ADDRESS>wrote:

Hi Halit,

unfortunately there is no predefined constraint for that. There are two

options for pulling that of: use reification or implement a propagator to

enforce connectedness. I think I haven't seen a special constraint for that

in any system.

Anyway, you might want to not encode that as 0/1 but set variables: in a

sequence of n variables x, the set for x_n contains the adjacent nodes. That

should be more efficient.

If you are interested in building a propagator, that should be pretty easy.

The implementation of the circuit constraint will give much of what needs to

be done.

Christian

--

Christian Schulte, www.ict.kth.se/~cschulte/

-----Original Message-----

From: <a href="mailto:users-bounces<EMAIL_ADDRESS>[mailto:<a href="mailto:users-bounces<EMAIL_ADDRESS>On Behalf

Of Halit Erdogan

Sent: Monday, May 18, 2009 6:42 PM

To: <a href="mailto:users<EMAIL_ADDRESS>Subject: [gecode-users] Graph Connectivity Problem

Dear All,

Although it seems a very common problem I could not find any

information on forcing graph connectedness neither in documentation

nor in the web archive.

The problem is: I have a matrix "m" representing an undirected graph.

m(i,j) = 1 means there is an edge between the vertices i and j. I want

m to represent a connected graph (every pair of distinct vertices in

the graph ( (i,j) in m) is connected through some path). How can I

write this as a constraint in gecode?

thanks in advance,

-halit

--

Halit Erdogan

B.S. Sabanci University

Computer Science and Engineering

email : <a href="mailto:halit<EMAIL_ADDRESS>phone : +90 505 476 75 76

webpage : http://students.sabanciuniv.edu/~halit/

_______________________________________________

Gecode users mailing list

<a href="mailto:users<EMAIL_ADDRESS>https://www.gecode.org/mailman/listinfo/gecode-users

_______________________________________________

Gecode users mailing list

<a href="mailto:users<EMAIL_ADDRESS>https://www.gecode.org/mailman/listinfo/gecode-users


Learning any of the Japanese alphabets can seem like a daunting task because there's just so many characters. Thing is, this doesn't have to be difficult!
The human brain works in a mysterious fashion, and everybody has their own point at which the brain commits something to memory. Katanakana watches how you identify characters, and will figure out when your brain has the best chance of storing the relations you need to read Japanese.
Once this is determined, it'll make you re-identify those characters at the ideal moment, and you'll be good to go!


Export to Json
Type some data and press Enter. Use your arrows keys, Tab or Shift+Tab to focus on each cell.


detail/mutex.hpp provides several mutex types that provide a consistent interface for OS-supplied mutex types. These are all thread-level mutexes; interprocess mutexes are not supported.
This header file will try to guess what kind of system it is on. It will auto-configure itself for Win32 or POSIX+pthread systems. To stub out all mutex code, bypassing the auto-configuration, #define BOOST_NO_MT before any inclusion of this header. To prevent ODR violations, this should be defined in every translation unit in your project, including any library files.
namespace details { namespace pool { // Only present if on a Win32 system class Win32_mutex { private: Win32_mutex(const Win32_mutex &); void operator=(const Win32_mutex &); public: Win32_mutex(); ~Win32_mutex(); void lock(); void unlock(); }; // Only present if on a POSIX+pthread system class pthread_mutex { private: pthread_mutex(const pthread_mutex &); void operator=(const pthread_mutex &); public: pthread_mutex(); ~pthread_mutex(); void lock(); void unlock(); }; // Present on all systems class null_mutex { private: null_mutex(const null_mutex &); void operator=(const null_mutex &); public: null_mutex(); ~null_mutex(); static void lock(); static void unlock(); }; // This will be one of the types above typedef ... default_mutex; } // namespace pool } // namespace details
| Symbol | Meaning |
|---|---|
| Mutex | Any type defined in this header |
| t | value of type Mutex |
| Expression | Return Type | Assertion/Note/Pre/Post-Condition |
|---|---|---|
| m.lock() | not used | Locks the mutex |
| m.unlock() | not used | Unlocks the mutex |
Each mutex is always either owned or unowned. If owned, then it is owned by a particular thread. To "lock" a mutex means to wait until the mutex is unowned, and then make it owned by the current thread. To "unlock" a mutex means to release ownership from the current thread (note that the current thread must own the mutex to release that ownership!). As a special case, the null_mutex never waits.
May include the system headers <windows.h>, <unistd.h>, and/or <pthread.h>.
This header will eventually be replaced by a Boost multithreading library.
Revised 05 December, 2006
Copyright © 2000, 2001 Stephen Cleary (scleary AT jerviswebb DOT com)
Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)


Expressions
Lavender programs are composed of a sequence of expressions. Expressions may span multiple lines if they are enclosed in parentheses, otherwise the expression ends at the next newline character. Examples of expressions include the following.
3 + 5
"Hello world"
def(x) => x + 1
math:sin(2 * math:pi)
Comments
Comments begin with a single quote character and continue until the end of the line. There are no multiline comments.
Literals
Lavender contains three types of literal values: numbers, strings, and vects. Numbers are double precision floating point values, strings are ASCII character sequences, and vects are sequences of values delimited with curly braces ({ }
). Strings are always delimited by double quote marks. Strings may contain escape sequences beginning with the backslash character.
| Escape Sequence | Meaning |
|---|---|
\n |
Newline |
\t |
Tab |
\" |
Double quote |
\' |
Single quote |
\\ |
Backslash |
Names
Names may refer to functions or function parameters. Within a function body, function parameter names shadow other names. Names may be either alphanumeric or symbolic. Alphanumeric names begin with a letter or underscore followed by zero or more letters, underscores, or numbers. Symbolic names are made up of the following symbols: ? ~ * / % + - < > = ! & ^ | :
. Additionally, names may not be any of the three keywords def
, let
, or =>
. Parameter and namespace names may only be alphanumeric.
| Legal Names | Illegal Names |
|---|---|
hello_world |
_: |
Lavender |
3scary5me |
_impl |
def |
:: |
bar_= |
Qualified Names
Qualified names may be used to refer to functions in another namespace, or to functions that are shadowed by local parameter declarations. Qualified names are given using the following syntax. <namespace> : <name> Qualified names may help to disambiguate functions with the same name in different namespaces.
Name Resolution
When an unqualified name is found, the interpreter attempts to resolve it using the following rules. If the name is the same as a parameter name in the same function, then the name refers to the parameter. Parameters in enclosing functions are next, then functions in the enclosing namespace. Finally, functions in the global and builtin namespaces are checked.
Function Calls
Every expression in Lavender that is not a literal value or function definition is a function call. For example, sin(pi)
and 3 * 2
are both function calls with the \math:sin
and \global:*\
functions, respectively. Function calls are made up of the function name and an argument list. The function name is placed before the argument list in the case of a prefix function, and inside the argument list in the case of an infix function. Multiple arguments are separated by commas and enclosed in parentheses. Examples below.
> abs(2) ' Calling \math:abs with argument 2.0 2.0 > abs 2 ' Parens are optional with a single argument 2.0 > max(1, 3) 3.0 > max 1, 3 ' Parens are required with multiple arguments Invalid stack > -3 ' Actually calls \global:- -3.0 > -(3) ' Equiv with parens -3.0


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Intermitent Fasting
Fasting every day for 16 hours and have an eating period of 8 hours to eat your daily intake of calories include a number of benefits like: Daily calorie deficit, increased freedom in cheat meals, increased concentration while in fasted state, burning fat, aid in certain types of diabetes, increase in human growth hormone. Truly has changed my life, been doing it daily for 2+ years.


Click the tabs (or use arrow keys) to see how the most valuable single-family homes (in dark green) shifted from the City of Hartford to selected suburbs over the decades. Hover over towns to view the home value index (where county average = 1.0), which adjusts for inflation over time. Missing values appear in gray. View source data and the code. Learn more at OnTheLine.trincoll.edu.


Is the following code fragment correct?
int sum = 0; for ( int j = 0; j < 8; j++ ) sum = sum + j; System.out.println( "The sum is: " + sum );
Yes. The variable sum
is declared outside of the for
statement and can be used inside and outside of the loop body.
The variable j
is declared inside of the for
statement and can be used only in the body of the loop.
The scope of a variable is the span of statements where it can be used.
The scope of a variable declared as part of a for
statement is
that statement and its loop body.
Another way to say this is:
A loop control variable declared as part of afor
statement can only be "seen" by thefor
statement and the statements of that loop body.


--- layout: post title: More on watching ActiveRecord post_id: 122 categories: - tips & tricks date: 2007-01-31 12:50:00.000000000 -07:00 author: Jamis permalink: 2007/1/31/more-on-watching-activerecord.html ---
Remember Watching ActiveRecord Do Its Thing, where I talked about redirecting the log to STDOUT when using the console? I’ve got a new trick based on this that I’ve found quite helpful. Simply put the following snippet in your config/environment.rb
:
1 2 3 4 |
def log_to(stream) ActiveRecord::Base.logger = Logger.new(stream) ActiveRecord::Base.clear_active_connections! end |
Now, when you’re at the console, you can just do:
1 2 3 4 5 6 |
>> log_to STDOUT => ... >> Post.find(:first) Post Load (0.000138) SELECT * FROM posts LIMIT 1 => #<Post:0x1234 ...> >> |
The best part is, by clearing the active connections after setting the logger, you can change the logger at any time, even after you’ve made any number of find calls.
And, you can pass your own stream objects into it:
1 2 3 4 5 6 7 8 9 |
>> buffer = StringIO.new => ... >> log_to buffer => ... >> Post.find(:first) => #<Post:0x1234 ...> >> p buffer.string => " \e[4;35;1mPost Load (0.000138)\e[0m \e[0mSELECT * FROM posts LIMIT 1\e[0m\n" >> |
Why would you want to do this? Well, for one thing, you can use log_to in your tests, and make sure that sensitive things like credit card numbers aren’t being written to your logs. Or, you can use this in tests to make sure that your latest optimization really does reduce the number of queries made to the database.
Good fun!


Controls:
- WASD/ASDF to move (configurable in settings)
- Space to Jump
- Right click and drag to turn character + camera
- Left click and drag to turn camera only
- Scroll to zoom in and out
New Features:
- NEW! 3-17-16 Working on everything & new settings window.
- NEW! 1-24-16 Added classes, (no difference between them yet).
- NEW! 1-24-16 Character selection menu.
- NEW! 1-24-16 Character creation menu.
- NEW! 1-24-16 Massive rewrite server side and major UI changes.
- NEW! 12-23-15 XP bar at the bottom of the screen.
NEW! 12-23-15 Huge improvements and adjustments to the UI you're currently looking at.
- NEW! 12-23-15 Even better character turning.
- NEW! 12-23-15 Camera movement fixes and adjustments.
- NEW! 12-23-15 Made a min and max zoom level (as per request).
NEW! 12-23-15 Hovering over health bar makes it turn red (soon to show % instead).
-
NEW! 12-22-15 Sweet error messages!
-
-
- NEW! 12-21-15 Working health bar (bottom left corner).

- NEW! 11-(0-30)-15 Server side storing of information (health, positiion, etc...) upon logging out if logged in (not as a guest).
Features:
- IT'S AN MMO!
- Programmed (server and client side) by Matthew Fosse
- Physics objects created for other players client side
- Player physics objects removed on server on exit
- Even better (than before) WoW controls
- Passwords are hashed and salted! (and probably secure)
FAQ:
-
Q: This game sucks!
- A: That isn't a question, and, I know, its a work in progress.
-
Q: Is this on github?


REDCap exports a “choose all that apply” question into a series of similarly-named, binary indicator variables (i.e., the variables are equal to either “checked” or “unchecked”). Using these variables individually, there is no obvious way to detect common patterns people pick together.
Example: In the Nacho Craving Index (NCI), respondents can indicate which of eight ingredients they are currently craving (i.e., Chips, Yellow cheese, Orange cheese, White cheese, Meat, Beans, Tomatoes, Peppers). These are exported into variables with names like
ingredients___1
,ingredients___2
, etc.
In REDCap, it is simple to get a summary of those individual
variables by using the “Data Exports, Reports, and Stats” application
within the REDCap interface and selecting “Stats & Charts”. Once the
data is in R, simple tables can be produced with the
table()
function, or beautiful tables can be created with
the tabyl()
and adorn_pct_formatting()
functions from the janitor
package. However, from these
univariate tables, it is impossible to judge which patterns of answers
are marked together. In the above example, using the univariate tables,
it is difficult to tell what percentage of people are craving both chips
and yellow cheese.
redcap <- readRDS(file = "./redcap.rds")
# Chips
janitor::tabyl(redcap$ingredients___1) %>%
janitor::adorn_pct_formatting() %>%
knitr::kable()
| redcap$ingredients___1 | n | percent |
|---|---|---|
| Unchecked | 21 | 70.0% |
| Checked | 9 | 30.0% |
# Yellow cheese
janitor::tabyl(redcap$ingredients___2) %>%
janitor::adorn_pct_formatting() %>%
knitr::kable()
| redcap$ingredients___2 | n | percent |
|---|---|---|
| Unchecked | 23 | 76.7% |
| Checked | 7 | 23.3% |
See the Import All Instruments from a REDCap Project and Importing from REDCap vignettes for details/information.
Even after subsetting the REDCap data to only include the ingredients variables, it is still difficult to detect common patterns in the eight ingredients.
redcap <- readRDS(file = "./redcap.rds")
analysis <- redcap %>%
select(starts_with("ingredients___"))
knitr::kable(tail(analysis))
| ingredients___1 | ingredients___2 | ingredients___3 | ingredients___4 | ingredients___5 | ingredients___6 | ingredients___7 | ingredients___8 | |
|---|---|---|---|---|---|---|---|---|
| 25 | Checked | Checked | Unchecked | Unchecked | Unchecked | Checked | Unchecked | Unchecked |
| 26 | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked |
| 27 | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked |
| 28 | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked |
| 29 | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked | Unchecked |
| 30 | Checked | Checked | Unchecked | Unchecked | Unchecked | Unchecked | Checked | Unchecked |
The make_binary_word()
function combines responses from
the individual variables into a single “word” that indicates which
choices were selected. For example, if the first option from the NCI
ingredient question, chips (i.e.,
ingredients___1
), was checked, the word created by
make_binary_word()
will begin with a; or if it was
not checked, the word would start with _. If the second option,
Yellow cheese (i.e., ingredients___2
), was
checked, the next letter will be a b; otherwise, a _
will be used as a placeholder. Following this pattern, if somebody is
not craving any of the eight nacho ingredients, the “word” will be eight
underscores, one for each ingredient (i.e., ________). Conversely, if
they are craving every ingredient, the “word” will be
abcdefgh.
patterns <- make_binary_word(analysis)
janitor::tabyl(patterns)
#> patterns n percent
#> ________ 20 0.66666667
#> ______gh 1 0.03333333
#> a_c__f_h 1 0.03333333
#> a_cdefgh 1 0.03333333
#> ab____g_ 1 0.03333333
#> ab___f__ 1 0.03333333
#> ab___f_h 1 0.03333333
#> ab__efgh 1 0.03333333
#> ab_de_gh 1 0.03333333
#> ab_defgh 1 0.03333333
#> abcdef_h 1 0.03333333
While the default lettering is somewhat helpful, using meaningful (mnemonic) letters makes the binary words easier to understand. In this case, the first letter for each choice can be used as a helpful mnemonic.
| Abbreviation | Ingredient |
|---|---|
| C | Chips |
| Y | Yellow cheese |
| O | Orange cheese |
| W | White cheese |
| M | Meat |
| B | Beans |
| T | Tomatoes |
| P | Peppers |
To use custom lettering, specify a vector of single-letter
abbreviations and pass it to the the_labels
argument. Be
sure to include one unique abbreviation for each data frame column. For
example:
labels <- c("C", "Y", "O", "W", "M", "B", "T", "P")
patterns <- make_binary_word(analysis, the_labels = labels)
janitor::tabyl(patterns)
#> patterns n percent
#> CYOWMB_P 1 0.03333333
#> CY_WMBTP 1 0.03333333
#> CY_WM_TP 1 0.03333333
#> CY__MBTP 1 0.03333333
#> CY___B_P 1 0.03333333
#> CY___B__ 1 0.03333333
#> CY____T_ 1 0.03333333
#> C_OWMBTP 1 0.03333333
#> C_O__B_P 1 0.03333333
#> ______TP 1 0.03333333
#> ________ 20 0.66666667
The summary table shows that 20 people did not provide information about what ingredients they craved. The remaining people do not display any recurring patterns, but many people craved chips and yellow cheese together.


Generation of bioclimatic rasters that will be particularly useful for species distribution modeling.
| Version: | 1.3 |
| Depends: | raster |
| Imports: | RSAGA |
| Suggests: | rgdal |
| Published: | 2018-04-16 |
| Author: | Pascal O. Title, Jordan B. Bemmels |
| Maintainer: | Pascal Title <ptitle at umich.edu> |
| BugReports: | https://github.com/ptitle/envirem/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://envirem.github.io |
| NeedsCompilation: | yes |
| Citation: | envirem citation info |
| CRAN checks: | envirem results |
| Reference manual: | envirem.pdf |
| Package source: | envirem_1.3.tar.gz |
| Windows binaries: | r-devel: envirem_1.3.zip, r-release: envirem_1.3.zip, r-oldrel: envirem_1.3.zip |
| OS X binaries: | r-release: envirem_1.3.tgz, r-oldrel: envirem_1.3.tgz |
| Old sources: | envirem archive |
Please use the canonical form https://CRAN.R-project.org/package=envirem to link to this page.


This file is part of Terminalor.
For the full copyright and license information, please view the LICENSE file that was distributed with this source code.
Terminalor DocParser class responsible for parsing given php doc comments into assoc array where doc tags becomes array keys.
Located in /DocParser/Interface.php (line 16)
Build commands help using specified doc comments
Get given command name
Get tag alias (if exists) if $returnOriginal is true and tag alias is not found method will return value $tagName
Get available tags aliases
Get parsed doc comment
Get parsed tag value by tag name, returns null if tag with given name is not found in getParsedDocComment().
Tags are stores agains aliases
Get un-parsed doc comment
Get template object responsible for rendering parsed php doc tags
Parse un-parsed doc comment into assoc array and pass this array to the template
Specify command name
Specify alias for given tag
Set un-parsed (raw) doc comment
Documentation generated on Tue, 07 Feb 2012 14:40:55 +1100 by phpDocumentor 1.4.4


Are you shure to publish {{currentNode.name}} ?
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Web Developer & Graphic Designer
Percentage:71%
PER: 76.4 %
Apart from being a Programming & Graphic Designer , I really enjoy most of my free time learning new things because self-learning is good way to learn. During breaks, I watch sci-fi web shows ,fantasy and like watch news television shows to know what happening around the globe. Except this I also enjoy some of my time teaching others and viedo Editing.


{% extends "base.html" %} {% load static %} {% block content %}
Use this form to adjust the system's parameters. If the system is set to override it will remain in the set state until the override is turned off. Changes will immediately affect the system.


#include <state_ops.h>
Multiplies sparse updates into a variable reference.
This operation computes
# Scalar indices ref[indices, ...] *= updates[...]
# Vector indices (for each i) ref[indices[i], ...] *= updates[i, ...]
# High rank indices (for each i, ..., j) ref[indices[i, ..., j], ...] *= updates[i, ..., j, ...]
This operation outputs ref
after the update is done. This makes it easier to chain operations that need to use the reset value.
Duplicate entries are handled correctly: if multiple indices
reference the same location, their contributions multiply.
Requires updates.shape = indices.shape + ref.shape[1:]
or updates.shape = []
.
Arguments:
Variable
node.ref
.ref
.Optional attributes (see Attrs
):
Returns:
Output
: = Same as ref
. Returned as a convenience for operations that want to use the updated values after the update is done.
Constructors and Destructors |
|
|---|---|
ScatterMul(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates)
|
|
ScatterMul(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates, const ScatterMul::Attrs & attrs)
|
Public attributes |
|
|---|---|
operation
|
|
output_ref
|
Public functions |
|
|---|---|
node() const
|
::tensorflow::Node *
|
operator::tensorflow::Input() const
|
|
operator::tensorflow::Output() const
|
|
Public static functions |
|
|---|---|
UseLocking(bool x)
|
Structs |
|
|---|---|
|
tensorflow:: |
Optional attribute setters for ScatterMul. |
Operation operation
::tensorflow::Output output_ref
ScatterMul( const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates )
ScatterMul( const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates, const ScatterMul::Attrs & attrs )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Attrs UseLocking( bool x )


Lakers broadcaster zings comedian Kevin Hart taking photo with Kobe Bryant's daughter
by TSD StaffFamed comedian Kevin Hart may be a bit vertically challenged, but he does excel in making people laugh.
Hart stands at only five-foot-four, and that’s why he’s often the butt of jokes in movies he appears in — especially buddy cop ones, where he’s paired with larger, muscular individuals.
Even the Lakers broadcast team couldn’t help but sneak in a jab at Hart during Sunday’s game agains the Hawks.
Hart was in the building for the game at Staples Center — seated courtside, of course. Lakers legend Kobe Bryant was there as well, along with his oldest daughter, Natalia. She wanted to snap a photo with Hart, and did, but one of the Lakers broadcasters slipped in a zinger after doing so, and it was pretty funny.
“Kevin Hart says, ‘I found someone I’m the same height as,'” he joked.
Savage!


Bars in Quebec town to give free non-alcoholic drinks to designated drivers
LAVAL, Que. — Police in Laval, Que., are fighting impaired driving by teaming up with 24 bars in the city to offer free non-alcoholic drinks to designated drivers.
The initiative provides a driver — accompanied by at least two friends — with a bracelet upon their arrival at the bar allowing them to get free non-alcoholic drinks determined by the bar.
The drinks are served at the same rhythm as the alcoholic beverages.
Police in Laval, just north of Montreal, say their target group is people aged between 18 and 25, but the program will be available to all.
Participating bars received a kit including posters, bracelets and ink stamps to identify designated drivers.
Laval police Chief Pierre Brochet says the program recognizes the important role of designated drivers and gives them the opportunity to celebrate while keeping roads safe.
The program, dubbed CoDeBars, began in Sherbrooke, Que. in 2017. Gatineau, near Ottawa, also announced its involvement on Thursday.
The city's police chief, Luc Beaudoin, says drinking and driving remains a major cause of road accidents.
"Each year, Gatineau police handle hundreds of impaired driving cases," Beaudoin said in a statement. "Hundreds of cases too many — despite the social consensus on the dangerousness of driving after drinking, too many drivers take the risk and endanger their own safety and the safety of others."
Beaudoin says he's confident that programs like CoDeBars will make a difference.
This report by The Canadian Press was first published Nov. 21, 2019.


Case
: case
| Values: | Nom | Gen | Dat | Acc | Voc |
Case is an inflectional feature of nouns, proper nouns, adjectives, determiners, pronouns, numerals and verbs (participles).
Case helps specify the role of the noun phrase in the sentence. For example, in Modern Greek nominative is the case of nominal subjects and contrasts with the accusative case that typically marks objects. However, the accusative is also used to mark nouns/proper nouns used as adverbs such as day names.
Modern Greek morphology distinguishes four cases:
Nom
, Gen
, Acc
, Voc
. Dative was used in older forms of the Greek language; in Modern Greek it occurs only in fixed expressions inherited from older Creek, e.g. γαία πυρί μιχθήτω ‘let earth be mixed with fire”.
Examples
- singular nominative μητέρα “mother”, genitive μητέρας accusative μητέρα vocative μητέρα
- plural nominative μητέρες genitive μητέρων accusative μητ΄έρες vocative μητέρες
Nom
: nominative
The base form of the noun (normally in the singular number), also used as citation form (lemma). This is the word form typically used for nominal subjects of clauses.
Examples
- Η Χαρά κοιμάται. “Chara sleeps.”
- Η δασκάλα αγαπά τον Μάρκο._ “The teacher loves Markos.”
Gen
: genitive
Genitives prototypically mark possessors and arguments of deverbal nominals. In Modern Greek, it is the case of the indirect object (typically with verbs of giving and saying). A handful of verbs and adverbs require a direct object in the genitive case.
Examples
- τα παιδιά της Ελ΄ένης “Eleni’s children”
- η καταστροφή της πόλης “the destruction of the city”
- της έδωσες το δέμα; “did you give her the parcel?”
- το άρθρο βρίθει λαθών “the article is full of mistakes”
- κατόπιν του ελέγχου της υποβολή σας “after checking your submission”
Dat
: dative
Modern Greek does not mark the dative case morphologically; depending on the dialect, several of its functions, in particular that of the indirect object, have been taken up by the genitive case (Standard Modern Greek) or the accusative case (Northern dialects of Modern Greek). Morphological datives occur only in fixed expressions inherited from older versions of the Greek language.
Examples
- εν τούτοις “however, nevertheless”
- γαία πυρί μιχθήτω “(let earth mix with fire) After me, the flood.”
- δόξα τω θεώ “(glory to the God) thank God”
Acc
: accusative
Accusative typically marks direct objects of verbs and preposition objects. It also marks nouns used as adverbials.
Examples
- είδε την πόλη “he saw the town”
- γράμμα από την αδελφή μου “letter from my sister”
- θα έρθει την επόμενη βδομάδα “he will come next week”
Voc
: vocative
Vocative is used to address someone or, less frequently, something.
Examples
- Άγγελε, πρόσεχε! “Aggelos, watch out!”
Case in other languages: [am] [apu] [arr] [bej] [bg] [cs] [el] [eme] [en] [ess] [et] [fi] [ga] [gn] [grc] [gub] [hu] [hy] [kmr] [koi] [kpv] [ky] [mdf] [myu] [myv] [pcm] [pt] [qpm] [ru] [sl] [sv] [tl] [tpn] [tr] [tt] [u] [uk] [urb] [urj]


Define a field in an abra view. If composite define a foreign view or field.
| Attribute | Description | Required |
| in | the 'format' name defined in a class-view node | Yes must be a valid format |
| foreign-view | valid 'format' in foreign class to use | If a composite field, one of these |
| foreign-field | a java field name to map from the composite |
<field name="name" type="string" > <view in="edit" / > </field >This will cause the name field to ocur in the format defined as 'edit'
<field name="address" type="org.Address" > <view in="edit" foreign-view="display" / > </field >this will cause the 'display' format of the org.Address class to occur in the edit view of this class Or single field-mapping.
<field name="address" type="org.Address" > <view in="edit" foreign-field="city" / > </field >This will create a field of the java type of city in class Address to be in the edit view. If a call to this.createEditView () is made then the address field will be populated with a call to this.getAddress().getCity()
Copyright © 2000,2001,2002 Paul Bethe and Richie Bielak. All rights Reserved.


Changelog¶
3.4.7 (2021-08-15)¶
Fix injectable crashing when relative imports are used in files containing injectables.
3.4.6 (2021-03-20)¶
- Fix
testing.register_injectables
not creating the namespace when it doesn’t exist yet
- Fix
3.4.5 (2021-03-11)¶
Fix opening of UTF-8 files & allow for user set encoding
3.4.4 (2020-07-29)¶
Fix
inject
return type hint
3.4.3 (2020-06-24)¶
Fix Injectable failing to resolve complex/entangled imports
3.4.2 (2020-05-22)¶
Fix optional injection bug when the namespace is empty
3.4.1 (2020-05-11)¶
Fix the use of named args by the caller breaking autowired functions injection
3.4.0 (2020-05-09)¶
Deprecate
InjectionContainer::load
in favor ofload_injection_container
.Change default namespace name from
"_GLOBAL"
to"DEFAULT_NAMESPACE"
.Fix minor quirks with Python 3.7 and 3.8.
Add tons of unit tests.
Add
reset_injection_container
utility toinjectable.testing
.
3.3.0 (2020-04-20)¶
Include the
injectable.testing
utilities to ease mocking injectables.
3.2.1 (2020-04-19)¶
InjectionContainer::load
is more resilient against duplicated injectablesregistering
3.2.0 (2020-04-15)¶
Support for optional injection in declarative fashion:
Autowired(Optional[...])
3.1.4 (2020-04-15)¶
Fix
Autowired(List[...])
not working with qualifiers
3.1.3 (2020-04-15)¶
Fix Windows injectables not being loaded.
3.1.2 (2020-04-14)¶
Remove unused
inspect
imports.
3.1.1 (2020-04-13)¶
- Fix bug of scanning the same module more than once when
InjectionContainer.load()
is called multiple times with different relative search paths.
- Fix bug of scanning the same module more than once when
3.1.0 (2020-04-13)¶
Added
@injectable_factory
decorator for declaring injectable factory methodsInclude the console output in the examples
3.0.1 (2020-04-13)¶
Fix package content missing
3.0.0 (2020-04-12)¶
Drop support for autowiring without previous initialization of the InjectionContainer
Refactor
@autowired
decorator for working with theAutowired
type annotationAdded
@injectable
decorator for registering injectables to the InjectionContainerSupport for qualifiers, groups and namespaces
Added
Autowired
type annotation for marking parameters for autowiringAdded
inject
andinject_multiple
as service locatorsAdded InjectionContainer for registering injectables
Official support for Python 3.7 and 3.8
Official support for Ubuntu, Windows and MacOS
Drop Python 3.4 and 3.5 official support
General code refactoring
Official documentation
Added usage examples
2.0.0 (2018-02-24)¶
Drop Python 3.3 official support
1.1.2 (2018-02-24)¶
Support for dependencies of classes without signature
Fix bug of builtin types not being accepted for injectable dependencies
1.1.1 (2018-02-23)¶
- Statically infer dependency’s constructor suitability for injection instead of using
trial instantiation
- Fix bug of raising
TypeError
when injectable fails on the trial dependency instantiation which can happen when the dependency does provide a default constructor with no arguments but the running environment (possibly a test suite environment) will make the instantiation fail
- Fix bug of raising
1.1.0 (2018-02-10)¶
Enable the use of
@autowired
decorator without parenthesis
1.0.1 (2018-02-10)¶
- Fixes required dependency
lazy_object_proxy
not being installed when installing injectable through pip
- Fixes required dependency
1.0.0 (2018-02-06)¶
First stable release
0.2.0 (2018-02-06)¶
Support for lazy dependency initialization
Support for type annotations with strings
0.1.1 (2018-02-05)¶
Python 3.3 and 3.4 support
0.1.0 (2018-02-05)¶
First beta release


First, some background. I have experimented with about every drug out there save heroin, ketamine, ghb, and perhaps obscure research chemicals. I hadn't tried chewing betel, so I decided to give it a whirl. I purchase dried betel slices, betel leaf, and lime paste at a favorite online superstore. Then, I proceeded, on one drunken night, to chop the dried betel nut and put it in a betel leaf with some lime paste.
Then I put the whole wrapped-up leaf in my mouth, gave it a chew or two, then put it between my gums like chewing tobacco. The effects were not very strong or pronounced at all.  The next day my gums hurt sooooo bad.
Three days after the chewing I can tell that my mouth was injured, but it no longer hurts that bad.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Planet name:
We will search for the "location" attribute in the JSON stored in the corresponding star.


|
Describe what you are announcing or promoting. Don't forget to use personalization tags to improve your campaigns.Try with two different Call-to-actions to increase the click rate from your campaigns. Let's Be Friends MoonMail - 154 Grand St. New York NY 10013 This email was sent because you were subscribe to MoonMail Newsletter. To stop receiving our awesome content click on unsubscribe. |


I had been under the impression that Salvia had been trying to enter into my life. I had heard it mentioned on the way back from a zen meditation retreat by one of my fellow practioners. It sounded intriguing, but I had long renounced all of my earlier experiences with entheogens, which had taken a good seven years (about 15 to 24) of my life. Those experiences had centered entirely around LSD, mushrooms, ecstasy and mdma. I had been extremely fortunate and lucky, not a bad trip to report and a general feeling of possibility, empathy and ecstasy from each one. So it was odd that, at this later point (I am now 36), I'd feel compelled to tamper with consciousness again. But Salvia had been described as gentle and legal, an introspective aid to meditation and so on. Never would I have guessed that it is one of the most powerful and distorting hallucinogens (taken at relatively high doses) that I'd ever tampered with.
Acquiring it was simple. Powdered Divinorum leaf is available at most head and grow shops so I ducked into one nearby and was given a gram of the powdered leaf. The seller said nothing about the concentration though I assume, now shaking from the aftereffects, that it was of top drawer potency. I then ducked round the corner and purchased a little ten dollar bong. Salvia had been popping up all around me, in conversations, references, and on the web, so I was convinced the green lady had something to tell me.
My intention was to do it alone, since the literature told me that, while operation of heavy machinery should be avoided, the first experience was generally mild. Euphoric, mildly dissociative, nothing more.  Instead I decided to call a good friend and moderate drug veteran who was the just right combination of goofiness, empathy, and adverturer to want to join me. I called and promised him a night of shamnistic fun and he readily agreed.
I had a glass of wine first since most of the experiences I read said alcohol wasn't a serious contraindication. It wasn't, but I was still completely unprepared for what followed. The instructions from the grow store told me to pack a full bong load and take 'a HUGE bong hit'. With my friend grinning at me from the couch I packed the entire bowl with about a third of gram, lit my butane lighter, and dutifully started sucking away.
I remember feeling the effects sharply after an alarmingly short period of time, perhaps seven seconds, and then, according to my friend, since I have no recollection of what happened next, my face went completely slack and infant like. I apparently looked like a six month old and I attempted to put the lighter and bong together over and over again, as if it were a machine or device of some sort. I began speaking gibberish. He gently took the bong out of my hands and asked me what I wanted. I then started to have a very intense and inescapable sense of being locked in the cellular structure of some enormous organic and geometric grid, like that of an an M.C. Escher drawing. Like a patient under the influence of anaeshtesia or someone who has almost been asphyxiated, I had the bizzare sense of not being either awake or asleep, but somewhere else in between.
While I was locked in this organic and ruthlessly geometric pattern (my body has dissolved entirely into it's pulsing contours) I felt it vibrating with an intense energy that was neither positive or negative, just intensely weird. It was dissociative in the extreme and very terrifying, because I had the feeling that I was disappearing and becoming part of the vast geometric pattern, whatever it was. I remember sensing that I was integrated into part of a vast curved surface. The sensation of not being an individual and not being able to move was very disturbing and weird beyond all imagining. My friend reported that I repeatedly tried to get up and was uttering unintelligible fragments that meant I did no like the experience at all. At that moment I'll agree that I didn't, but in retrospect I'll say that it was too completely overwhelming to be categorized under 'like' or Dislike'. Let's just settle for overwhelming.
I also had the sense that my friend was also a part of the grid, somewhere else, and that he was fine with everything. I even imagine him living in his part of the grid like some sunny and surreal Escher elf, happy and completely bizzare, giggling away. That was just my friend being a good sitter. He later reported that though I thought his words were reassuring, he was only speaking soothing gibberish to me. I looked like a baby, so this made sense to him. What is strange, however, is that I distinctly remember him saying 'It's cool, all of life is like this'. All of life is like being cemented into some pulsing geometric Teletubby land?
I remember wanting the experience to be over, to get back to the land of distinctions, when I'd be able to distinguish who I was and what my limbs were and be able to move again. But the stronger that wish grew the more the experience seemed to intensify the threat of completely dissolving me altogether. I'm sure that a stronger dose and I would have lost myself entirely. Of course the threat of ego death is one of the key aims of entheogenic experience, but this dissolution of self and ego was so....literal. It's great to think of myself disappearing poetically, or religiously, or metaphorically, but LITERALLY? By which I mean, and have no doubt, I was LITERALLY stuck in some gigantic pulsing geometric pattern where my body was slowly dissolving into it, had no sense of time, and a sense that my self was about to liquify.
There was also the bizarre sense of being outside of my own life, as in: when we are surrounded and cushioned by our comfortable concepts such as space time and self, we divide our lives into day and night. This time, however, I was outside of the sense of day and night, I was only watching my life unfold as a third party, which gave it a slightly horrifying quality - like an endless dream or wheel from which I would never escape. Was this the wheel of samsara?
My friend kept making reassuring cuckoo noises and I gradually, very gradually, returned to myself. I remember feeling ashamed, as my friend, not an old old friend but more of a recent buddy, had been asked to witness too much.  I felt as if I'd just undergone triple bypass surgery or had my diapers changed in front of him. Psychedelics are nothing if not humbling. The first thing I said as things gradually, and thankfully regained their distinctness, was that he probably would not want to undergo the experience. He wasn't a eager veteran of psychdelic experience like I had been, and seeing me go slack, infantile and incoherent didn't whet his appetite.
Coming to, however, I kept marveling at the extreme discrepancy between the hallucinogenic world I had been in and the sensory world around me. The hallucinogenic world had been huge, absolute, brutally symmetrical, soul dissolving. The world that emerged afterward was particular, small, lovely, distinct, full of unexpected asymmetries and quirks than a more symmetrical world would allow. It continued to surprise me. Every thing seemed incredibly complex and wildly extravagant compared to rudimentary, cellular and bizzare world I had almost been dissolved into.
It occured to me that I had visited some very basic level of existence - maybe the cellular level, and was now able to appreciate the incredibly complex human world: of forms, concepts, metaphors, similes, symbols and semantics. Instead of experiencing these as chains from which I had been liberated I returned to them ravenously. 'Look at this wall'! I kept saying about the brick wall of my apartment 'It's so...irregular!' I've always known that asymmetry at just the right point is the key to beauty. But I never fully appreciated it until now.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Additional remarks for ProductionIssue
This entity performs production order issue realization in EG


Press release
Too many Stoke primary school children falling behind in reading
Ofsted publish findings which show too many primary school children in Stoke-on-Trent are falling behind in their reading.
It finds the teaching of reading in seven of the city’s schools visited falls below the national standard and, as a result, pupils are not being adequately prepared for secondary school.
The report,
Ready to Read?
, coincides with today’s (26 June) Primary Reading Conference being held in the city. The conference has been organised to improve literacy standards for pupils in the area. Tristram Hunt, Shadow Education Secretary and Member of Parliament for Stoke-on-Trent Central, will deliver a keynote speech at the event.
Between January and March 2014 Ofsted inspectors, in collaboration with the local authority, undertook a study of 12 primary schools in Stoke-on-Trent to see how well reading is taught. The study also assessed whether the schools were aware of and understood the new requirements of the National Curriculum for reading which will be introduced in September 2014.
The key judgments of the report found that:
-
the teaching of reading required improvement or was inadequate in seven of the twelve schools visited
-
almost all of the schools failed to link effectively the teaching of early reading and early writing
-
too little thought was given to ensuring pupils read a broad range of books on a regular basis
-
low expectations of pupils’ reading skills in four of the schools was limiting their progress
The report outlines a number of recommendations to schools in Stoke-on-Trent to help improve the reading and writing of pupils in the city. This includes:
-
ensuring leaders and staff are familiar with, and prepared for, the 2014 National Curriculum programme for reading
-
making sure phonics is used as the primary strategy for teaching early reading
-
improving the assessment of pupils’ attainment and holding teachers to account for their progress
-
communicating better with parents about how their children are being taught to read and the progress they are making
Regional Director for the West Midlands, Lorna Fitzjohn, commented on the findings of the report:
Our findings today show that vital work needs to be done if we are to improve pupils’ reading in Stoke-on-Trent.
Of the 23,300 children attending primary school in the city, over 7,000 go to a school that is either judged to be inadequate or requires improvement. Whilst there are schools in the area that should be commended for the work they are doing to prepare children for their next steps in life, too many schools have low expectations for their pupils. These schools need to do more to ensure children are getting an education of a similar quality to other parts of the country.
I therefore urge teachers and school leaders to look at the findings we are presenting today and consider where improvements could be made to ensure that we put an end to primary school children in Stoke-on-Trent falling behind in their reading skills.
Notes to editors
-
The report,
Ready to Read? How primary schools in Stoke-on-Trent teach pupils to read
, is available on GOV.UK.
-
The schools visited as part of the report were: Ash Green Primary School; Alexandra Primary School; Burnwood Primary School; Greenways Primary School; Hillside Primary School; Milton Primary School; Oakhill Primary School; Our Lady’s Catholic Primary School; Sandon Primary School; Stoke Minster Primary School; St Joseph’s Catholic Primary School; and St Gregory’s Catholic Primary School.
-
There were 23,300 children attending primary school in Stoke-on-Trent according to figures from the Department for Education. In all, 7,000 children go to a school that is either judged to be inadequate or which requires improvement, according to Ofsted Dataview as of 31 March 2014.
-
The National Curriculum 2014 Framework is available on the Department for Education website,
https://www.gov.uk/government/collections/national-curriculum
-
The Office for Standards in Education, Children’s Services and Skills (Ofsted) regulates and inspects to achieve excellence in the care of children and young people, and in education and skills for learners of all ages. It regulates and inspects childcare and children’s social care, and inspects the Children and Family Court Advisory Support Service (Cafcass), schools, colleges, initial teacher training, work-based learning and skills training, adult and community learning, and education and training in prisons and other secure establishments. It assesses council children’s services, and inspects services for looked after children, safeguarding and child protection.


| DOSE: |
5.5 hits |
oral |
LSD |
(gel tab) |
I had always been comfortable in my experiences. Never had a thought of a bad time, or extreme insanity ever crossed my mind. I started tripping at the beginning of my Junior year in college, I guess because I was bored with life. My creativity had run out, and LSD seemed to be a way in which I could channel that creativity. But nothing, nothing could have ever prepared me for the night of April 11.
On the day before that life changing event, I had decided to roll for the very first time, which was wonderful. The next night I had decided to go on the trip of my life at a party that I was having. I started the night off by eating two of these Jellies (orange if I am not mistaken) and had grown impatient for the trip to come on. So I quickly ate another jelly, then in which my friend dared me to eat another. So I did. I mean young male pride was ripe, and I did not bother to give it a second thought. My other friend (you could call her the supplier of such party favors) said she had a jelly and a half left. So I bought those and ate them as well. Thats when I started to trip. Hard.
The world began to glow red, sepping across and stretching into everything imaginable. With the redness of the world and myself, things began to get very warm. So I decided to go to my room and lock the door. I didn't realize it yet, but the night had not even started. I began to have horrific thoughts of having eaten too much LSD. Perhaps my heart was about to explode, I don't know. But death, death was on my mind. I let some friends into the room and that is when the insanity hit.
I sat Indian style in the corner of the room and it bagan to disappear. The world diasappeared in a series of flashes and I blacked out for a moment. I came to and realized that I was stuck in time. Stuck, a second was infinity and infinity was not long enough. Every move I made, every breath I took lasted forever.
I rolled over in my bed and my sheets wrapped around me, forming a rock tight caccoon. The world was gone and all I could see was a huge heart. It was my heart and it exploded. I was dead, dead as a rock and realized that the bed opened and my mind had left my body, as I fell through space. I saw the stars, the moon, planets, the universe. I had given up on life, nothing mattered when you were dead, but I couldn't accept it. I couldn't.
Suddenly I found myself leaping down several staircases, a flight at a time. I quickly made it outside with my roommate at least thirty seconds behind. I was holding my head screaming over and over that I had died, and was entirely convinced. I did not want to accept it, and it is that fact that kept me going. I undressed in the road, as clothes had no meaning to a wanderless spirit of the night. That is when my roommate caught up with me and attempted to explain to me what was happening. I was insane. But his voice was nothing in comparison to the voice from above. God's echoing voice covered all, and I was powerless to resist it. It told me one thing (that phrase which if repeated, might get me a lighting bolt from above.) That is when I ran and the dirt path in front of me became a stairway to heaven and in the clouds above I could see a white light. The white light. I went as high as I could and just as I put my finger to that light, my mind shut down.
I eventually awoke in my friend's car, stark naked, and vomit all over myself. The world was different, I was different, and I don't think that my life can ever be like that hollowed shell again. This will probably be the most spiritual experience of my life.
I spent the next year of my life, depressed and sometimes on the edge of lunacy. But I have finally recovered, as the events of that night are slowly fading in with my memory. But I talked to God (or the voice in my Sub-concious, however you want to see it), learned a fundamental truth, touched the light at the end of the tunnel, and realized that I was alive. Truly alive. Life is beatiful, glorious, and is never to be wasted.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


VRaptor scaffold extension to make it easier configuring new projects and plugins.
Ensure you have installed ruby and rubygems. You can easily find more information how to do this in the follow address http://www.ruby-lang.org/en/downloads/ . After installed ruby stuffs open your terminal and run
gem install vraptor-scaffold
Open your terminal again and run
vraptor new onlinestore
This command will create all configurations, after that go into onlinestore folder and run
ant jetty.run
open your browser in the follow address http://localhost:8080 and you should see It works!.
Now lets create a CRUD to online store, to do that just run
vraptor scaffold product name:string value:double
and run server
ant jetty.run
Go http://localhost:8080/products
The root default folder is app
to change that you have the fallow command
vraptor new onlinestore --package=br.com.caelum
You can also change the model, controller and repository packages:
vraptor new onlinestore --package=br.com.caelum -m model -c controller -r repo
The default build tool is ant with ivy to deal with dependencies, to change your build tool, just create your application with:
# for maven vraptor new onlinestore --build-tool=mvn # for gradle vraptor new onlinestore --build-tool=gradle
When using gradle, use
gradle jettyRun
to run the application.
A new project already comes with the connection pool configured and in place. Besides that, one can choose between JPA (EntityManager, default), or Hibernate (Session), when creating your project:
vraptor new onlinestore -o=jpa vraptor new onlinestore -o=hibernate
The default template engine is jsp, to change that create your application with
vraptor new onlinestore --template-engine=ftl
If you choose maven run
mvn eclipse:eclipse
to create eclipse files.
If you are using ant eclipse files are generated with the application to skip them run
vraptor new onlinestore --skip-eclipse
The supported attributes type are: boolean, double, float, short, integer, long, string and text
.
Vraptor plugin can be installed by issuing a
vraptor plugin simple-email -v 1.0.0
You can find a list of available plugins at https://github.com/caelum/vraptor-contrib
The jQuery version is always the latest available, you can choose older version with:
vraptor new onlinestore -j 1.4.4
Now you can deploy any kind of Java application on Heroku with a simple
git push heroku master
And vraptor-scaffold take care with all the stuff you need to getting started with Heroku. To create an application that uses the heroku workflow just run:
vraptor new onlinestore --heroku
After that you need to follow the Heroku steps to get done. You can find more information here http://www.heroku.com/java
To get hold of all available commands execute
vraptor -h
To get more information on a command usage, use, for example:
vraptor new -h vraptor scaffold -h vraptor plugin -h
This project is being developed in ruby and the source is hosted in https://github.com/caelum/vraptor-scaffold . Feel free to fork and create your path or features, dont forget the tests.


quill-html-edit-button
This is a quill.js module which allows you to quickly view/edit the HTML in the editor.
Below are a few demos for the quill-html-edit-button library.


Refugees around the world and in conflict areas
Data visualisations to get understanding of current developments
On 19 June 2017, the BBC has an alarming statement: "According to UN Refugee Agency, a record of people are displaced worldwide".
This news item is one of many disturbing messages appearing these days.
On this website, a variety of data visualisations is used to give insight in the available data about refugees.
"Refugees are people who are recognized as refugees under the 1951 Convention Relating to the Status of Refugees or its 1967 Protocol, the 1969 Organization of African Unity Convention Governing the Specific Aspects of Refugee Problems in Africa, people recognized as refugees in accordance with the UNHCR statute, people granted refugee-like humanitarian status, and people provided temporary protection. Asylum seekers--people who have applied for asylum or refugee status and who have not yet received a decision or who are registered as asylum seekers--are excluded. Palestinian refugees are people (and their descendants) whose residence was Palestine between June 1946 and May 1948 and who lost their homes and means of livelihood as a result of the 1948 Arab-Israeli conflict. Country of asylum is the country where an asylum claim was filed and granted." - The World Bank


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Christmas Eve
Christmas Eve is the evening or entire day preceding Christmas Day, the festival commemorating the birth of Jesus of Nazareth.
Christmas Eve
Christmas Eve is the evening or entire day preceding Christmas Day, the festival commemorating the birth of Jesus of Nazareth.
Present
Finding the ideal Christmas present can be stressful at this festive time of year, so we thought we would make it easier for you. Whether you're looking for a Secret Santa Present for your friend, a Stocking Filler for the little one or a Christmas present for loved ones, Prezzybox have a great range of gift ideas for all!
Dinner
Christmas dinner is a meal traditionally eaten at Christmas. This meal can take place any time from the evening of Christmas Eve to the evening of Christmas Day itself. The meals are often particularly rich and substantial, in the tradition of the Christian feast day celebration, and form a significant part of gatherings held to celebrate Christmas. In some cases, there is a ritual element to the meal related to the religious celebration.
Family
Christmas dinner is a meal traditionally eaten at Christmas. This meal can take place any time from the evening of Christmas Eve to the evening of Christmas Day itself. The meals are often particularly rich and substantial, in the tradition of the Christian feast day celebration, and form a significant part of gatherings held to celebrate Christmas. In some cases, there is a ritual element to the meal related to the religious celebration.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 6
Pear tart flavoured with kirsch and a little rosemary, served up with caramel and chocolate sauce.
Preheat the oven to 200C/400F/Gas 6.
Begin by preparing the pears. Peel and halve them, removing the core with a teaspoon.
Put them in a pan with 125g/4½oz of sugar and just enough water to cover. Add the alcohol, lemon juice and zest.
Bring to the boil and gently simmer for fifteen to twenty minutes depending on the ripeness of the pears. Once cooked, test with a sharp knife.
Allow to cool in the liquid. Once cool, remove from the liquid and allow to drain until dry.
Make the caramel by placing 125g/4½oz of sugar into an ovenproof pan. Heat gently without stirring until it turns golden brown. Remove from the heat, add the butter and stir in gently.
Roll out the puff pastry on a floured surface. Cut out a circle slightly larger than the ovenproof pan.
Place the drained and dry pears cut side up in the pan, on top of the caramel. Sprinkle over the chopped rosemary.
Cover the pears and caramel mixture with the pastry, tucking the overlapped edges down the side of the pan.
Bake in the oven for fifteen to twenty minutes until the pastry is brown.
Meanwhile, make the chocolate sauce. Place a glass bowl over a pan of gently simmering water. Melt the butter and chocolate together in the bowl, then stir in the milk.
Add the sugar and cream, stir until smooth, and remove from the heat.
Remove the tart from the oven and leave to rest for one minute before turning it out. To do this, place a plate on top of the pan and invert so that the tart slips out, pastry on the bottom, pears on top.
Serve hot with the chocolate sauce and ice cream.


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Causal Linear Filter Impulse Response:
Acceleration
x Spectrogram
y Spectrogram
z Spectrogram
h[0]
h[1]
Signalry demonstrates various signal processing techniques.


Preparation time
30 mins to 1 hour
Cooking time
1 to 2 hours
Serves
Serves 6-8
Dietary
Equipment and preparation: You'll need a 24cm/9in loose-bottomed flan ring.
For the pastry, separate the eggs. Add 2-3 tbsp cold water to the egg yolks and stir with a fork. (You can use the egg whites for another dish or freeze them.)
Place the flour into the bowl of a food processor, followed by the cold butter and the salt.
Turn the processor on and pulse several times until the mixture resembles fine breadcrumbs.
Add two-thirds of the egg yolk/water mixture and pulse again. If the mixture is still too dry, add the remaining egg and water mixture (you may not need to use all of it). Be careful not to overwork the pastry. Stop pulsing when the mixture has the consistency of chunky breadcrumbs.
Turn the pastry out onto a clean, floured work surface and, with floured hands, bring together to make a smooth dough, but don't knead.
Shape into a flattened ball, wrap in cling film and refrigerate for about 10-15 minutes. You can keep the pastry at this stage for 2-3 days if not using it immediately.
Remove the pastry from the fridge. On a clean, floured work surface, roll it out with a floured rolling pin until it's slightly larger than the flan ring. Using the rolling pin, lift the pastry and lay it over the flan ring.
With your fingers, lightly press the pastry into the sides of the ring. Run a rolling pin over the top of the ring and pull away the excess pastry at the edges. Using your fingers, gently press the pastry up to slightly build up the height of the pastry at the edges. Prick the base of the pastry with a fork.
Make a cartouche (a circle of greaseproof paper) slightly larger than the base of the flan tin and line the pastry case with it. Place some ceramic baking beans inside to weigh the pastry down. Place in the fridge to relax for about 20 minutes.
Preheat the oven to 200C/400F/Gas 6. Place the pastry in the oven and bake blind for about 20 minutes. Remove the paper cartouche and baking beans for the final five minutes to crisp up the pastry.
Make the filling by whisking the eggs, egg yolk and sugar together until smooth and foaming, with a hand whisk or with an electric whisk. This will take 5-10 minutes.
Zest and juice the lemons and lime. Put the juice and zest into a bowl and mix together well. Whisk the cream into the egg and sugar mixture, then pour the lemon and lime juice and zest into the cream mixture. The acidity in the citrus will thicken the cream. Mix gently.
Using a jug, pour the filling mixture into the prepared pastry case, while it's still on the oven rack. Reduce the temperature to 150C/300F/Gas 2 and bake for about 50 minutes, or until just set.
Remove the tart from the oven and allow to cool completely before chilling in the fridge. Carefully remove the flan ring. Dust with icing sugar just before serving.
Serve with fresh raspberries and thick cream.


Coming soon, friends. While you wait, why not look at my
CV?
Or, check out a simulation of
segmental informativity evolution.
Orrr, check out the change over time for
English words' frequency and contextual probability.


11. Performance Tuning
11.3 Iterating Through Data Rows
There are cases when the result sets are so large that even when fetching data rows,
application can run out of memory. For instance, a user may be creating a report
that requires in-memory processing of hundreds of thousands of database rows.
In such cases normal Cayenne behavior of reading the whole java.sql.ResultSet
in the memory before returning it to the user may result in an application exhausing all
memory and crashing.
Cayenne solves this by allowing to
obtain results in the form of ResultIterator .
ResultIterator is connected
to an open java.sql.ResultSet , therefore its methods may throw checked
exceptions. ResultIterator returns data rows (not DataObjects) one at a time, reading them
on demand from the open ResultSet. Each data row can be converted to a DataObject or accessed
directly. Open ResultIterator locks the database connection, therefore
ResultIterator always requires explicit closing
in the user code.
Note:
In web applications, programmers must ensure
that no open ResultIterators are kept between HTTP requests. Failure to do so
may result in too many database connections being locked, thus quickly exhausting
connection pool. In general, an application with Web GUI is NOT a good candidate
for implementation using ResultIterators.
|
When working with open ResultIterator, users still can perform any other database
operations: select queries, traversing object relationships, etc. Any parallel data
operation will internally check out an unused connection from the connection pool
as it would normally do, while ResultIterator still locks its own connection.
ResultIterator annotated example:
import java.util.List;
import java.util.Map;
import org.objectstyle.cayenne.access.DataContext;
import org.objectstyle.cayenne.access.ResultIterator;
import org.objectstyle.cayenne.query.SelectQuery;
import org.objectstyle.cayenne.CayenneException;
import org.objectstyle.art.Artist;
...
DataContext ctxt;
// create a usual query
SelectQuery q = new SelectQuery(Artist.class);
ResultIterator it = null;
// ResultIterator operations all throw checked CayenneException
try {
// special "performIteratedQuery" method is used
it = ctxt.performIteratedQuery(q);
while(it.hasNextRow()) {
// ResultIterator always returns data rows
Map row = it.nextDataRow();
// do something with the row...
...
}
}
catch(CayenneException ex) {
ex.printStackTrace();
}
finally {
try {
// explicit closing of the iterator is required !!!
it.close();
}
catch(CayenneException closeEx) {
closeEx.printStackTrace();
}
}
...
|
|


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