were different, however, from that of /sup 226/Ra. The highest /sup 210/Pb//sup 226/Ra activity ratio was 3.9 at a distance of 0.76 km SSE from the plant. Nevertheless, the evidence is not considered to be sufficient to attribute these observations unambiguously to plant release.
 12. Evaporation and crystallization of a droplet of desulfurization wastewater from a coal-fired power plant
 International Nuclear Information System (INIS)
 Liang, Zhengxing; Zhang, Li; Yang, Zhongqing; Qiang, Tang; Pu, Ge; Ran, Jingyu
 2017-01-01
 Highlights: • Evaporation and crystallization characteristics of the droplets of desulfurization wastewater. • TGA and DSC methods were used to investigate the evaporation and crystallization processes. • Evaporation and crystallization rates increase with the increase of temperature increasing rate. • Increasing volume of the droplet increases the evaporation rate, but decreases the crystallization rate. • Structure of the crystals changes significantly when the temperature increasing rate and the volume of the droplet change. - Abstract: Relationship between evaporation and crystallization characteristics of a droplet of desulfurization wastewater from a coal-fired power plant and some operating conditions was studied experimentally using a thermogravimetric analyzer (TGA) with differential scanning calorimetry (DSC) function and a scanning electron microscope (SEM). The results shows that, between 15 °C/min and 45 °C/min, a higher temperature increasing rate leads to higher evaporation and crystallization rates. The increment in the evaporation rate, caused by the same increment of temperature increasing rate, is larger, when the temperature increasing rate is lower. In addition, the final temperatures, ranging from 90 °C to 150 °C, have little impact on the evaporation and crystallization rates of the 0.5 μL droplet. Ultimately, for the droplets, ranging from 0.2 μL to 2.5 μL, evaporation rate increases with increasing volumes of the droplets, but the crystallization rate decreases. From the SEM results, it can be observed that the quantity of cracks on the surface of the crystals also declines with the increase in volumes. Furthermore, the Stefan flow becomes a significant and unneglectable factor in order to decrease the evaporation rate at the end of the evaporation period.
 13. Atmospheric Aerosol Source-Receptor Relationships: The Role of Coal-Fired Power Plants
 Energy Technology Data Exchange (ETDEWEB)
 Allen L. Robinson; Spyros N. Pandis; Cliff I. Davidson
 2005-12-01
 This report describes the technical progress made on the Pittsburgh Air Quality Study (PAQS) during the period of March 2005 through August 2005. Significant progress was made this project period on the source characterization, source apportionment, and deterministic modeling activities. This report highlights new data on road dust, vegetative detritus and motor vehicle emissions. For example, the results show significant differences in the composition in urban and rural road dust. A comparison of the organic of the fine particulate matter in the tunnel with the ambient provides clear evidence of the significant contribution of vehicle emissions to ambient PM. The source profiles developed from this work are being used by the source-receptor modeling activities. The report presents results on the spatial distribution of PMF-factors. The results can be grouped into three different categories: regional sources, local sources, or potentially both regional and local sources. Examples of the regional sources are the sulfate and selenium PMF-factors which most likely-represent coal fired power plants. Examples of local sources are the specialty steel and lead factors. There is reasonable correspondence between these apportionments and data from the EPA TRI and AIRS emission inventories. Detailed comparisons between PMCAMx predictions and measurements by the STN and IMPROVE measurements in the Eastern US are presented. Comparisons were made for the major aerosol components and PM{sub 2.5} mass in July 2001, October 2001, January 2002, and April 2002. The results are encouraging with average fraction biases for most species less than 0.25. The improvement of the model performance during the last two years was mainly due to the comparison of the model predictions with the continuous measurements in the Pittsburgh Supersite. Major improvements have included the descriptions: of ammonia emissions (CMU inventory), night time nitrate chemistry, EC emissions and their diurnal
 14. Spatial Distribution and Trend of CH4, NO2, CO and Ozone during 2003-2015 over Coal Fired Power Plants in US
 Science.gov (United States)
 de Azevedo, S. C.; Reyes, C.; Singh, R. P.
 2016-12-01
 Coal fired power plants are the sources of atmospheric pollution and poor air quality in many parts of the world especially in India and China. The greenhouse emissions from the coal fired power plants are considered as threat to the climate and human health. About 572 coal fired power plants (up to 2012) are operational, especially in the mid and eastern parts of US. We have analyzed satellite measured carbon monoxide (CO), methane (CH4), nitrogen dioxide (NO2), ozone (O3) and meteorological parameters for the period 2003-2015. In this study, we have considered 30 power plants, covering 10 x10surrounding area and over 11 regions of US in a grid of about 50 x50 to 60 x60. In general, most of the coal fired power plants show a decreasing trend of CO, whereas NO2 follow a similar trend over the power plants located in the eastern parts. Our analysis shows that the clean air act is strictly followed by the coal fired power plants in the eastern US compared to power plants located in the mid and western parts. The CH4 concentrations over the eastern parts show higher concentrations compared to mid and western regions in the period 2003-2015. Higher concentrations and seasonal variability of greenhouse gases is dependent on the prevailing meteorological conditions.
 15. Nuclear techniques for the on-line bulk analysis of carbon in coal-fired power stations.
 Science.gov (United States)
 Sowerby, B D
 2009-09-01
 Carbon trading schemes usually require large emitters of CO(2), such as coal-fired power stations, to monitor, report and be audited on their CO(2) emissions. The emission price provides a significant additional incentive for power stations to improve efficiency. In the present paper, previous work on the bulk determination of carbon in coal is reviewed and assessed. The most favourable method is that based on neutron inelastic scattering. The potential role of on-line carbon analysers in improving boiler efficiency and in carbon accounting is discussed.
 16. Natural radionuclides near a coal-fired power station. [/sup 210/Po and /sup 210/Pb levels in cattle livers
 Energy Technology Data Exchange (ETDEWEB)
 Smith-Briggs, J L; Crick, M J [National Radiological Protection Board, Harwell (UK)
 1982-11-01
 Previous measurements have shown enhanced levels of /sup 210/Po and /sup 210/Pb from fly ash deposited in the environment around old coal-fired power stations. Preliminary results are presented for levels of /sup 210/Po and /sup 210/Pb in liver samples from cattle which had grazed for two to three years in a field adjacent to a modern power station. No significant difference in the levels of these natural radionuclides was found compared to liver samples obtained from cattle in a control area.
 17. Expanding exports, increasing smog : Ontario Power Generation's and Hydro One's strategies to continue coal-fired electricity generation in Ontario
 International Nuclear Information System (INIS)
 Gibbons, J.
 2002-06-01
 The production of coal-fired electricity increased by approximately 150 per cent in Ontario between 1995 and 2000. As a result, the smog-causing emissions generated by the five coal-fired power plants operated by Ontario Power Generation caused an increase in smog and worsened air quality in the province as well as affecting air quality as far afield as the Atlantic provinces. Between 2002 and 2005, it is expected that the Pickering and Bruce nuclear plants will be returned to service, making the electricity generated by the coal plants surplus to Ontario's needs. Increasing this surplus are the planned natural gas generating stations. Ontario Power Generation is planning on using this surplus to export it to the United States rather than phasing out its reliance on coal. The increase in exports to the United States Northeast and Midwest is planned with Hydro One, already busy increasing its transmission capacity to the United States by 1,000 megawatt (MW). This plan involves laying 975 MW submarine cable from the Nanticoke Generating Station (operated by Ontario Power Generation) under Lake Erie to Pennsylvania, Ohio, or both states. At the moment, the exports are constrained by the government emissions limits imposed by the Ontario government on sulphur dioxide and nitrogen oxides. This constraint could be removed if Ontario Power Generation decides to pay further for pollution controls for sulphur dioxide and nitrogen oxides at its coal stations. Unfortunately, increasing the exports would also result in emissions increases for 28 other uncapped pollutants such as lead, mercury and arsenic. The author recommended that the Ontario government ban non-emergency coal-fired electricity exports to improve air quality in the province. refs., 8 figs
 18. Reaching an agreement to build a new coal-fired power plant near a national park by mitigating potential environmental impacts
 International Nuclear Information System (INIS)
 Miller, R.L.


Import collection from JSON and convert _Id from String to ObjectId
Magnus Berggren shared this question 23 months ago
Answered
Hi, I'm trying to import a collection from a JSON text file.
The problem is that the _id does not have a specific type in the JSON, and gets imported as a normal string. However, I need it to be an ObjectId. Is there a way to configure the import to automatically assign a desired type, or is there a query I could run afterwards to make the conversion?
Comments (1)
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1
NoSQLBooster provides generated import script that you can modify and customize it to suit your needs.
1. Click "Preview" button in the import dialog.
2. Press "Alt+Shift+0" or select "Fold->Unfold all" in the context menu to unfold all editor script.
3. Go to line 37
 while (continueRead) {
 let docs = srcDocs.slice(offset, offset + BATCH_SIZE);
 let readLength = docs.length;
 //wirte your code here to transform imported doc
 //The following example sets the customer _ id field to the _ id of the imported document
 docs=docs.map(it=>{
 return {...it, _id: parseInt(it.customer_id)}
 })


A 4.00kg box sit atop a 10kg box on a horizontal table. Thecoefficient of kinetic friction between the two boxes and betweenthe lower box and the table is 0.600, while the coefficient ofstatic friction between these same surface is o.800. A horizontalpull to the right is exerted on the lower box, and the boxes movetogether. calculate the friction force on the upper.Pull = 150.0N
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text:
Friday, December 12, 2003
Evidence and Holism: Judgments about Wholes and Parts in Evidence Assessment
There is an important new article about the assessment of evidence in litigation: Dan Simon, Chadwick Snow & Stephen Read, "The Redux of Cognitive Consistency Theories: Evidence Judgments by Constraint Satisfaction." The authors' abstract states that "making decisions from multiple pieces of evidence is... is bi-directional - decisions follow from the evidence, but evaluations of the evidence shift towards coherence with the emerging decision." The paper is not pure speculation: the authors report results from five empirical studies that test and substantiate their hypothesis.

source: openbmb/Ultra-FineWeb


text:
- Touch-button, ultrathin, light quality, protable.
- Touch-key count up to 64, up to 64 kinds of mode function, small volume , more key funcation.
- Easy to use, have color pulley touch screen, all sorts of design and color mode at a glance, can a single point also can continuous touch to realize color mode select, users can speedily choose the needed color, and the static and dynamic mode can change freely.
- Auto dormancy function, the remote control is without buttons state more than 20 seconds, remote will automatic enter the standby state, realize save electricity, extending battery life.
- Input Voltage: DC 12V
- Output: 3 channels
- Output current: <2A( each channel )
- Output power: <72W
- Connection mode: common anode
- Static power consumption: <1W
- Working Temperature: -20-60℃
- Controller dimension: (L)90mm x (W)70mm x (H)28mm
- Packing size: (L)150mm x (W)76mm x (H)51mm
- Net weight: 130g
- Gross weight: 165g
1. Connect the load wire at first, following by the power wire; Please ensure short circuit can not occur between connecting wire before you turn on the power；
2. Power supply voltage range is DC12~24V, more than voltage range maybe will burnout the controller.
3. Touch remote when not use for a long time, suggest to take down the battery.

source: m-a-p/FineFineWeb


text:
The eco system of Design Library
Design Library consists of a website with editorial content (this is what you're looking at right now) as well as a number of repositories that contains component implementations.
A repository will typically contain a framework-specific implementation of SEB's general components, or a project specific collection of components. For example,
- "Vanilla" is a repository that implements SEB's general components in CSS only (with SCSS mixins for flexibility)
- "Public Web" repository contains a set of components that was specifically designed and developed for SEB's public websites, but that might be useful in other projects as well.
Any teams within SEB that are developing for the web can contribute their code to Design Library, either by setting up their own repository, or by adding code to, for example, the Vanilla repository.
How does it work?
Each repository actually has its own website. We call this website a "Pattern Library". Here you can have a look at the Pattern Library for Vanilla, for example.
The pattern library site serves several purposes:
- It shows you which components are available in that specifc repository
- It can contain detailed and repo specific instructions and documentation targeted at developers
- It exposes a few differend JSON feeds that the Design Library site reads from (more on this later)
- It can serve as a development tool, aiding the process of developing and documenting web components.
What do I need?
Each component in a Pattern Library consists of two main things: A markdown file and a code file.
- The markdown file is used to document the component. It contains meta-data such as the component name and identifier, as well as the code examples that showcases the component. The component identifier (componentid) is the key that ties a component to a specific page in Design Library. For example, a component with a componentid of "component-button" will be displayed on the Code tab of the Button component in Design Library. Look at the top right part of the Button page, for instance. There you can see the componentid of that page.
- The code file is simply the implementation code of the component. It can be CSS, SCSS, JS, or any other relevant language. A component can also, of course, consist of multiple code files.
As mentioned above, the Pattern LIbrary site exposes a few different JSON feeds. These are required for Design Library to be able to display components from the Pattern Library. There are three different feeds:
This feed contains a list of all the components. It specifies component metadata and a path to the related markdown file.
This file contains a list of output files that are required to display the components. Usually this will contain paths to some minified files, such as main.min.css and main.min.js.
This file simply holds the version number of the repository.
DaVanMonet is the development tool we use to generate pattern libraries. It is built around WebPack, and handles transpiling, minification, compiling, etc, as well as automatically generating the necessary JSON-feeds for Design Library.
You can find the source code and documentation for DaVanMonet on GitHub.


text:
Explains the natural and human-affected factors that determine the concentration of contaminants in groundwater, especially where the concentration is different at the surface than at depth, and where pumping varies with time.
We estimated in-place resources of 1.07 trillion short tons of coal in this area using a geology-based assessment methodology. Of that total, recoverable coal was 162 billion tons, 25 billion economically recoverable.
Using the Fischer assay measure of oil yield, we estimated a total of 1.44 trillion barrels of oil in three assessed units. There is currently no economic method to recover oil from this geologic unit.
The electric power generation potential from identified geothermal systems is 9,057 Megawattselectric (MWe), distributed over 13 states. Undiscovered resources are estimated to provide an additional 30,033 MWe.
Estimates of additional energy resources present within known oil and gas fields using statistical analysis that includes geology and engineering practices in addition to growth trends in production data.

source: HuggingFaceFW/fineweb-edu


text:
In this topic, we described about the Assign Valuation areas and accounting principles process along with technical information.
Valuation areas are defined for periodic processing in general ledger accounting. Valuation areas can be assigned to accounting principles in relation to periodic processing once the valuation area defined.
Assigning Valuation Area to Accounting Principles :-
Below process is to assign valuation area VA to Accounting principle TCAP.
Step-1: Enter the transaction code S_PL0_86000071 in the SAP command field and click Enter to continue.
Enter the transaction code SPRO in the SAP command field and click Enter to continue.
Click on SAP Reference IMG.
Expand SAP Customizing Implementation Guide → Financial Accounting (New) → General Ledger Accounting (New) → Periodic Processing → Valuate → Assign Valuation Areas and Accounting Principles . Click on Execute.
Step-2: In the next screen, select activity New Entries on the application bar.
Step-3: In the next screen, enter the below details.
- Valuation Area – Select the required valuation area from the list.
- Acc.Princ. – Select the Accounting Principle from the list.
Step-4: Once all the details entered, click on the Save button to save the changes.
Step-5: It prompt for the Change Request. Create/Select the change request and Click on right mark to proceed.
Step-6: Status bar displays the below message once the valuation area assigned to accounting principles successfully.
Technical Information: -
- Transaction Code: - S_PL0_86000071
- Navigation path: - SPRO → SAP Reference IMG → SAP Customizing Implementation Guide → Financial Accounting (New) → General Ledger Accounting (New) → Periodic Processing → Valuate → Assign Valuation Areas and Accounting Principles
- Database Table: - T033, T033T


text:
Metal Recovery and Preconcentration by Aminopolycarboxylic Acid modified Silica Surfaces
This study focuses on the adsorption and preconcentration of various metals by silica gel surfaces modified with aminopolycarboxylic acids namely ethylenediaminetetraacetic acid or diethylenetriamine-pentaacetic acid. The adsorption performance of the studied materials was determined in mixed metal solutions and the adsorption isotherm studies were conducted for cobalt, nickel, cadmium, and lead. The results were modeled using various theoretical isotherm equations, which suggested that two different adsorption sites were involved in metal removal although lead showed clearly different adsorption behavior attributed to its lowest hydration tendency. Efficient regeneration of the adsorbents and preconcentration of metals was conducted with nitric acid. Results indicated that the metals under study could be analyzed rather accurately after preconcentration from both pure, saline and ground water samples.


text:
Hearing the Voice of Citizens in Smart City Design: The CitiVoice Framework
Vorschaubild nicht verfügbar
ISSN der Zeitschrift
Business & Information Systems Engineering: Vol. 61, No. 6
In the last few years, smart cities have attracted considerable attention because they are considered a response to the complex challenges that modern cities face. However, smart cities often do not optimally reach their objectives if the citizens, the end-users, are not involved in their design. The aim of this paper is to provide a framework to structure and evaluate citizen participation in smart cities. By means of a literature review from different research areas, the relevant enablers of citizen participation are summarized and bundled in the proposed CitiVoice framework. Then, following the design science methodology, the content and the utility of CitiVoice are validated through the application to different smart cities and through in-depth interviews with key Belgian smart city stakeholders. CitiVoice is used as an evaluation tool for several Belgian smart cities allowing drawbacks and flaws in citizens' participation to be discovered and analyzed. It is also demonstrated how CitiVoice can act as a governance tool for the ongoing smart city design of Namur (Belgium) to help define the citizen participation strategy. Finally, it is used as a comparison and creativity tool to compare several cities and design new means of participation.


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I have a scenario in which after the fork the child executes using the excele() command
a linux system command in which its executes a small shell script .
And the parent does only a wait() after that . So my question is , does the parent executes
wait after an execle() which the child process executes ?
Thanks Smita
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are you asking about race condition between wait() and execle()? ( which one executes first) – arash kordi Oct 6 '12 at 12:34
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2 Answers
I'm not too sure what you're asking, but the parent is in a wait() system call it will wait there until any child exits. There are other things like signals that will take it out of the exit too.
You do have to be careful in the child process that you don't accidently fall through into the parent code on error.
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This (a child process doing some execve after its parent fork-ed, and the parent wait- or waitpid-ing it) is a very common scenario; most shells are working this way. You could e.g. strace -f an interactive bash shell to learn more, or study the source code of simple shells like sash
Notice that after a fork(2) syscall, the parent and the child processes may run simultanously (e.g. at the same time, especially on multi-core machines).
share|improve this answer

Ok. So, suppose a test program in this order as beow does that mean the printf will execute in the below case -: 1)fork (2)if(fork()){ exec("ls") 3)else printf("hi am parent"); – user1624822 Oct 6 '12 at 14:33

Just try, and use strace – Basile Starynkevitch Oct 6 '12 at 16:14
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text:
New York State Mesonet Launches Total Solar Eclipse Website
By Mike Nolan
ALBANY, N.Y. (March 28, 2024) — A new website launched by the New York State Mesonet at the University at Albany will offer real-time access to weather data statewide around the total solar eclipse on April 8.
A total solar eclipse occurs when the moon passes between Earth and the sun, completely blocking the sun's face. In total, 55 NYS Mesonet sites will experience totality during the eclipse, and every site will be above 90 percent at the peak of the eclipse crossing the region.
As the eclipse traverses New York, the Mesonet will be tracking weather data from each of its network sites, including environmental variables such as wind speed, solar radiation, temperature and relative humidity.
The Mesonet eclipse website, which is now available to the public, offers live weather information and camera images from each of its 126 standard sites, with updates every five minutes, along with additional data from its specialized networks.
"This new website will offer the first interactive Mesonet tool that allows people to see a full day of data from all 126 stations all at once," said Nathan Bain, senior software engineer at the NYS Mesonet. "When people interact with the dashboard, they will see Mesonet stations of interest highlighted across the page, starting and ending times of the eclipse for each station, and photos taken every five minutes. As the eclipse traverses the state, markers on the graphs will indicate when the eclipse is starting and ending, allowing people to easily see how the eclipse impacts the weather."
The Mesonet network was completed in April 2018, with UAlbany leading the design, installation and operation. Each of its 126 standard environmental monitoring stations, spaced an average of about 19 miles apart across the state, are equipped with automated sensors that provide high-quality weather data and offer camera images.
Several sub-networks of specialty sites have also been deployed, including a Profiler Network of 17 sites that provide data about the atmosphere vertically (up to 6 miles above ground) and a Flux Network of 18 stations that monitor surface energy.
In addition to tracking the eclipse through the Mesonet, a team of UAlbany students are participating in NASA's 2023-24 Nationwide Eclipse Ballooning Project. Through the project, they will be launching weather balloons from Fort Drum, N.Y. for 30 consecutive hours around the total eclipse. The data will be observed in real-time and compared to data from nearby Mesonet sites.
"Solar radiation is Earth's primary source of energy, so the blocking of the sun during April's total solar eclipse will offer an ideal testing laboratory to understand the meteorological, ecological, photochemical, and biological responses to eclipse events," said NYS Mesonet Program Director June Wang. "We are taking full advantage, collecting meteorological data both on the ground and in the atmosphere."
The NSF National Center for Atmospheric Research is also deploying MicroPulse DIAL (MPD) LiDARs at three Mesonet profile network sites (Webster, Chazy and Albany) from April 1 to 30. The collected data will be used to study the impacts of the total solar eclipse on the atmosphere.


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Astronauts often see flashes when they are in space. How often these particles make their ways down to the Earth and hit us? What's the chance they hit our eyes and see flashes?
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1 Answer 1
up vote 3 down vote accepted
Muons are the main cosmic rays reaching sea level with a possibility of interacting with matter. Neutrinos interact very weakly and need special detectors to be seen at all.
Rule of thumb when I was working with counters is that the flux of muons at sea level is 1 per cm^2 per second, wikipedia gives this number for over 1 Gev
For energies above 1 GeV see this link.
The question then becomes biophysical, can the eye detect ionizing deposition which lasts much less than a second as the velocities are very high? The answer is no, unless there is an interaction with nuclei in the eye and there is a shower in the eye. The flux at sea level is predominantly muons which interact weakly with nuclei so there is very small probability that a shine in the dark is a cosmic interaction.
In the stratosphere and where the astronauts are living the flux is composed mainly by hadrons, and those have a high probability of interacting with nuclei in the eye.
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, then~\eqref{RelAtInfty} is satisfied if $\ga$ is large enough. \end{prop} Finally, our results on the issue of disorder relevance are summed up in Figure~\ref{fig.sum}. \subsection{Discussion}\label{sec2.3} We collect here remarks about our results. \medskip \noindent (1)\enskip Note that when $\gb_0 > 0$, that is, when $\bE \hE(|\tau \cap \htau|) < \infty$, then for small $\gb$, the annealed critical exponent is the same as in the case when the renewal $\htau$ is absent. The reason behind this is that the reward $\gb$ given at each intersection point in $\tau \cap \hat\tau$ is too weak for $\htau$ to contribute to the free energy. \medskip \noindent (2)\enskip\label{seconditem} According to the Weinrib--Halperin criterion~\cite{WH83}, which aims to generalize the Harris criterion, disorder should be relevant if $\nu < \frac{2}{\xi \wedge 1}$ (at least for small disorder) and irrelevant if $\nu > \frac{2}{\xi \wedge 1}$, where $\nu$ is the critical exponent of the pure (homogeneous) system and $\xi$ is the correlation exponent of the environment. The application of this criterion to pinning models was introduced and discussed in~\cite{B13}. In our case, $\nu = (1/\ga) \vee 1$, $\xi = \ha - 1$ (assuming that $\ha > 1$), and the Harris criterion should not be changed if $\xi >1$, i.e.~$\ha > 2$, which is confirmed by Theorems~\ref{thm:smoothing} and~\ref{thm:irrelevance}. If $\ha \in (1,2)$, the criterion predicts that disorder is relevant (resp.~irrelevant) if $\ga > \frac{\ha - 1}{2}$ (resp.~$\ga < \frac{\ha - 1}{2}$). However, there is no clear evidence that this criterion gives the right prediction outside the Gaussian regime and it has actually been disproved in several examples~\cite{B13, B14}. \medskip \noindent (3)\enskip The recent work of Caravenna, Sun and Zygouras~\cite{CSZ16+} has opened a new perspective on the issue of disorder relevance. Their work examines conditions under which we may find a weak-coupling limit of quenched partition functions, with randomness surviving in the limit. More precisely, they determine conditions under which there exist sequences of parameters in the Hamiltonian (the coupling constants $h_n, \gb_n$ in our case) that converge to zero as the size of the system goes to infinity, and such that the properly rescaled quenched partition function converges in distribution to a random limit, which is obtained in the form of a Wiener chaos expansion. In several instances, including the one of the pinning model in an i.i.d.~environment, it was shown that these conditions coincide with those of disorder relevance. Applying this approach to our model leads to the following conjecture. \begin{conj}\label{ConjRelevance} Disorder is relevant for all $\gb>0$ (in the sense of critical point shift)~if \begin{equation}\label{eq:conj1} \ga > 1 - \frac{1}{\ha \wedge 2}, \end{equation} in which case \begin{equation} \label{eq:conj2} \limsup_{\gb \to 0} \frac{\log (h_c(\gb) - h_c^a(\gb))}{\log \gb} = \frac{(\ga\wedge 1)(\ha\wedge 2)}{1-(\ha\wedge 2)(1-(\ga\wedge 1))}. \end{equation} \end{conj} This problem will be examined in a future work. The reason for the term $1/\ha$ in place of the usual $1/2$ when $\ha\in (1,2)$, is that the partial sums of our disorder sequence is in the domain of attraction of an $\ha$-stable law. More specifically: \begin{equation} \frac{1}{n^{1/\ha}} \sum_{k=1}^n (\hat \gd_k - 1/\hmu) \longrightarrow \ha\text{-stable law},\quad \text{as\ } n\to\infty,\quad \ha\in(1,2). \end{equation} Therefore we expect that white noise is replaced by a Levy noise in the weak-coupling limit of the quenched partition function. Note that~\eqref{eq:conj1} and~\eqref{eq:conj2} coincide with the case of i.i.d. disorder when $\ha>2$, that is the summable correlation scenario. Finally, another reason to believe in this conjecture is that the chaos expansion approach gives the right prediction for a pinning model in an i.i.d.~$\gamma$-stable environment ($1 < \gamma < 2$), which has been studied recently by Lacoin and Sohier~\cite{LS16+}. There, it has been proved that disorder is relevant (resp.~irrelevant) if $\ga > 1 - 1/\gamma$ (resp.~$\ga < 1 - 1/\gamma$), which is to be compared to our conjecture. \medskip \noindent (4)\enskip The picture that has emerged for the moment regarding disorder relevance for this model can be summed up in the exponent diagram, see Figure~\ref{fig.sum}. \begin{figure} \begin{center} \begin{tikzpicture}[xscale =3, yscale=2] \fill[fill=blue!20] (1/2,2) -- plot [domain=1/2:1] (\x, {1/\x}) -- (0,1) -- (1,0) -- (2,0) -- (2,3) --(1/2,3) --(1/2,2); \fill[fill=yellow!20] (0,2) rectangle (1/2,3); \fill[fill=yellow!20] (0,1)--(1,0)--(0,0); \draw [->](0,0) node[below]{$0$}--(1/2,0) node[below]{$1/2$}--(1,0) node[below]{$1$}--(2,0) node[below right]{$\ga$}; \draw [->](0,0) --(0,1) node[below left]{$1$}--(0,2) node[below left]{$2$}--(0,3) node[above left]{$\ha$}; \draw (0,1)--(1,0); \draw [dotted] plot [domain=0:1/2] (\x, 1+2*\x); \draw [dashed] plot [domain=0:1/2] (\x, {1/(1-\x)}); \draw [densely dashed] (0,2) -- (2,2); \draw [densely dashed] (0,1) -- (2,1); \end{tikzpicture} \end{center} \caption{\label{fig.sum} Disorder relevance/irrelevance in the exponent diagram. } \end{figure} \begin{itemize} \item The blue area is where we have proven relevance for small $\gb$. \item In the region $\ha < 1$ we have relevance in the blue area because the quenched critical curve is trivially 0 while the annealed is strictly negative. \item In the blue region with $\ha > 1$, we have relevance due to smoothing, see Theorem~\ref{thm:smoothing}. We do not know yet whether the critical points differ but we conjecture that they do (see Conjecture~\ref{ConjRelevance} above). \


Ordered Vs. Unordered Sets
In mathematics, a set has no order. The sets {1,2,3} and {3,2,1} are equivalent. STL's std::set diverges from the mathematical definition and imposes an order on its elements. Typically the set is implemented internally as a red-black tree. a compare predicate (by default the std::less <T> operator) determines the position of a new element in the tree. It allows for efficient iteration over the elements for a price: insertion, removal and search of an element cost an average of O(log n). This is not too bad for small sets, however, it can become an issue for larger sets or sets accessed from performance critical code.
If all you need is a container that will keep track weather and object is contained in a set or not. You are better off using unordered_set (introduced in C++ 11) its functionality is similar to the pre-C++ 11 STL set, Only it is implemented as a hash table with an average, insert, delete and search times of O(1) with large sets the difference is noticeable:
#include <iostream>
#include <chrono>
#include <unordered_set>
#include <set>
#include <string>
template <typename TimeT = std::chrono::milliseconds> struct measure {
 template <typename F, typename... Args> static typename TimeT::rep execution(F func, Args&&... args)
 {
 auto start = std::chrono::system_clock::now();
 // Now call the function with all the parameters you need.
 func(std::forward<Args>(args)...);
 auto duration = std::chrono::duration_cast<TimeT>(std::chrono::system_clock::now() - start);
 return duration.count();
 }
};
std::string baseString = "abcdefghi";
class SetContainer
{
public:
 void populate_unordered_set()
 {
 std::string s = baseString;
 while(std::next_permutation(begin(s), end(s))) {
 unorderedSet.insert(s);
 }
 }
 void populate_ordered_set()
 {
 std::string s = baseString;
 while(std::next_permutation(begin(s), end(s))) {
 orderedSet.insert(s);
 }
 }
 bool ordered_set_has(std::string val)
 {
 return (orderedSet.find(val) != orderedSet.end());
 }
 bool unordered_set_has(std::string val)
 {
 return (unorderedSet.find(val) != unorderedSet.end());
 }
 long iterate_ordered_set()
 {
 long count = 0;
 for(auto& s : orderedSet) {
 count++;
 }
 return count;
 }
 bool iterate_unordered_set()
 {
 long count = 0;
 for(auto& s : unorderedSet) {
 count++;
 }
 return count;
 }
private:
 std::unordered_set<std::string> unorderedSet;
 std::set<std::string> orderedSet;
};
using nsMeasure = measure<std::chrono::nanoseconds>;
int main(int argc, char** argv)
{
 SetContainer setContainer;
 std::cout << "Unordered set population time (ns) :"
 << nsMeasure::execution(std::bind(&SetContainer::populate_unordered_set, &setContainer)) << '\n';
 std::cout << "Ordered set population time (ns) :"
 << nsMeasure::execution(std::bind(&SetContainer::populate_ordered_set, &setContainer)) << "\n\n";
 std::string searchVal = "abcdefgih";
 std::cout << "searching for " << searchVal << " :\n";
 std::cout << "Unordered Set (ns) :"
 << nsMeasure::execution(std::bind(&SetContainer::unordered_set_has, &setContainer, searchVal)) << '\n';
 std::cout << "Ordered Set (ns) :"
 << nsMeasure::execution(std::bind(&SetContainer::ordered_set_has, &setContainer, searchVal)) << "\n\n";
 std::cout << "Unordered set's elements iteration (ns) :"
 << nsMeasure::execution(std::bind(&SetContainer::iterate_unordered_set, &setContainer)) << '\n';
 std::cout << "Ordered set's elements iteration (ns) :"
 << nsMeasure::execution(std::bind(&SetContainer::iterate_ordered_set, &setContainer)) << "\n\n" ;
 return 0;
}
Unordered set population time (ns) :225967000
Ordered set population time (ns) :277887000
searching for abcdefgih :
Unordered Set (ns) :2000
Ordered Set (ns) :6000
Unordered set's elements iteration (ns) :29006000
Ordered set's elements iteration (ns) :_PHONE_
(The handy measure template is from Nikos Athanasiou's answer on Stackoverflow.com)
The program above was compiled with clang in release mode and -O2 flag.
As you can see from the output, inserting element in the unordered set, took nearly half of the time it took to insert an element in the ordered set. The unordered container search time is third of the ordered set's search time. On the other hand iterating over the unordered set takes twice as much as the unordered set .
Conclusion
Like a cable subscription: there is really no reason to pay for the all inclusive plan when you are only going to watch the sci-fi channel. If all you want is to keep track of a bunch of objects and you rarely need to iterate over the elements in the set, consider using the unordered set for better performance.
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How do Crystals Form?
Shining, sparkling crystals catch the eye, but what's inside? How does a regular structure like crystal form in the chaos of nature?
Table of Contents
What is crystal?
Crystal is simply a regular, repeating arrangement of particles. These particles are known as atoms. Atoms are the fundamental units that make up everything that we see in the world! The device that you're reading this on? Atoms! Tables and chairs? Atoms! Imagine you have a magical knife, with the ability to divide anything into smaller and smaller bits. At some point, you won't be able to create a smaller bit that does not have a positive or negative charge. This smallest bit is the atom .

Atoms are made of three smaller particles: protons, neutrons, and electrons. Protons are positively charged, and neutrons have no charge. Protons and neutrons are packed together tightly to form a dense central core called a nucleus that has an overall positive charge. The electrons are negatively charged and arranged in rings around the nucleus. An atom looks something like our solar system. The sun is like the densely packed, positively charged nucleus. Electrons are like planets, orbiting the sun and very far apart.
The structure of the atom
The structure of the atom, Credit: Wikimedia/CNX OpenStax
When an atom loses one or more electrons, it ends up positively charged and becomes a cation. Similarly, the gain of one or more electrons creates a negatively charged anion.

Anions and cations usually don't form from the same elements. Some elements have a tendency to become anions, and some elements have a tendency to become cations. Anions and cations are attracted to each other and bind together. The geometric arrangement in which they are bonded is what determines whether a substance is a crystal or not.

One cation surrounded by four anions forms a tetrahedron. One cation surrounded by six oxygens becomes an octahedron! These are the building blocks. Adding one identical building block to another, to another and so on is what makes a crystal. It is a fixed pattern of identical units.
A tetrahedral structure. Cations are represented by pink balls, and anions by white balls
A tetrahedral structure. Cations are represented by pink balls, and anions by white balls, Credit: Wikimedia/Benjah-bmm27
An octahedral structure. Cations are represented by pink balls, and anions by white balls.
An octahedral structure. Cations are represented by pink balls, and anions by white balls, Credit: Wikimedia/Benjah-bmm27
How do sugar and salt crystals form?
Salt is in almost everything we eat, and it is one of the most common crystals we encounter. The scientific name of salt is sodium chloride. This means salt is made up of two elements: sodium and chlorine. Sodium forms cations, and chlorine forms anions. They bond in a one-to-one ratio—one chlorine for one sodium. Alternating sodium and chlorine repeat and form the four corners of a cube.
The sodium chloride crystal
The sodium chloride crystal, Credit: Wikimedia/OpenStax College
Most of the salt on Earth is dissolved in water, which breaks down the crystal structure. When sea water is slowly dried in salt pans, or salt crystals form under the earth from ancient lakes or oceans, salt crystals form.
The spectacular halite crystal, also known as rock salt
The spectacular halite crystal, also known as rock salt, Credit: Wikimedia/Robert M. Lavinsky
Granulated sugar, the way you can buy it at the grocery store, is usually made from sugarcane. Rarely, it is made from sugar beet. Cut cane or sugar beet is boiled and the juice is extracted. The juice is slowly thickened until hardly any water remains. The little water that is left slowly evaporates as the hot juice cools, and sugar crystals slowly form. You may have seen other forms of sugar, like rock sugar, granulated sugar, or powdered sugar. Large crystals form rock sugar. Sugar is ground down to different degrees to form granulated sugar or very fine powdered sugar.
Sugar crystals under the microscope
Sugar crystals under the microscope. Note that these are not the atoms that make up sugar, but magnified crystals that are visible to the naked eye even without a microscope, Credit: Wikimedia/Gabriela P.
How do quartz crystals form?
Quartz is a white, crystalline, shiny solid and is probably what comes to mind when you imagine a crystal. Similar to sugar, quartz also forms when a hot liquid cools. Magma from deep within the earth bubbles to the surface during a volcanic eruption. This magma most commonly cools rapidly to form igneous rocks. In special cases, the magma cools slowly, gradually forming crystals. These crystals are formed of the elements silicon and oxygen. One silicon cation is bonded to four oxygen anions, forming a tetrahedral structure. In quartz, each oxygen is shared between two tetrahedra, giving quartz crystals a hexagonal shape.
A quartz crystal
A quartz crystal, Credit: Wikimedia/JJ Harrison
The internal structure of quartz
The internal structure of quartz. White balls represent silicon, and red balls represent oxygen, Credit: Wikimedia/Andel
What are crystals used for?
One popular use of crystals is to determine the internal structure of proteins and other biological molecules. Proteins are everywhere in the natural world, but they are folded and twisted. This makes it hard to tell what exactly they are made of. Turning them into a crystal generates a repeatable pattern which is much easier to decipher. In fact, the discovery of the structure of DNA used this method!

Diamonds are one crystal with which we are all familiar. Beyond sparkling jewelry, it is also used as a tool since it is very hard and nearly unbreakable. Graphite is a crystal that makes up the "lead" in pencils.

Crystals are everywhere in our daily lives. Though their properties are varied, they are all just made up of cations and anions, in fixed patterns!
Glossary
Atom: The smallest unit which can be divided without the release of electrically charged particles

Anion: A negatively charged atom

Cation: A positively charged atom

Crystal: A repeated pattern made of identical units

Electron: A tiny, negatively charged component of an atom

Element: A primary constituent of matter

Neutron: A component of an atom present in the nucleus with no charge

Proton: A component of an atom present in the nucleus with a positive charge
Flesch Kincaid Grade Level: 7.2

Flesch Kincaid Reading Ease: 60.1
Author
 - Yamini Srikanth
 Yamini's (he/they) interests lie in environmental education, science communication and trying to build a better world. When not languishing in front of his laptop, they can be found outside, poking at any insect, bird or plant. They love making science accessible, especially to those who aren't encouraged to pursue it. Yamini hopes that the young women who read Smore love learning from their articles and get just a little bit more excited about science!
Copyright @smorescience. All rights reserved. Do not copy, cite, publish, or distribute this content without permission.
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OECD: Coronavirus disproportionately affects migrants
According to a new OECD report, migrants have been disproportionately affected by the COVID-19 pandemic. Migration itself has decreased significantly, with adverse effects on both countries of origin and destination.
The coronavirus pandemic has changed the lives of people all over the world, and particularly that of migrants, according to a new report by the Paris-based Organization for Economic Co-operation and Development (OECD).
Yet it also concludes that it's thanks to migrants that essential services have been provided in OECD member states, despite the restrictions imposed to curb the spread of the virus — particularly in the sectors of health care, retail and in delivery and courier services.
Even when borders were closed during the strictest lockdown period various governments, including Germany, introduced exceptions to allow workers into the country to help with the harvest.
Migrants make up 24% of doctors and 16% of nurses in OECD member states, and have often been on the front line in the fight against the virus. But they've also been disproportionately infected by COVID-19, as they are often in closer contact with contagious people and frequently live in close quarters.
According to the report, migrants are twice as likely to contract the virus than the rest of the population. A quarter of those who work in the hospitality industry in the EU are originally from non-EU states, a rate that is twice as high as in other economic sectors.
People working in this sector often only have temporary contracts, and migrants are usually the first to lose their job during an economic downturn.
The report noted that it's still too early to know the full extent of the damage caused by COVID-19, but said migrants living in southern Europe, in Ireland, Sweden, Norway and the US have been particularly badly hit.
Migrant children hit by school closures
The children of migrants have also been disadvantaged by school closures in many countries, and the subsequent transition to home schooling and online learning.
On average, these children were less likely to have access to a home computer, and were less likely to benefit from parental help with lessons due to language barriers. Children were also often at a disadvantage because of lack of space at home.
The pandemic has had a dramatic impact on migration in OECD member states, which reportedly decreased by as much as 50% in the first six months of 2020 due to border closures, travel restrictions and a decrease in flight availability.
The authors of the study don't think the current slowdown will change any time soon, even if the economy picks up again. They predicted that due to weaker labor demand and continued travel restrictions, people will become less mobile.
Those who have stopped going to their workplace will continue to work from home in the foreseeable future, if they can, and students will continue to attend online lectures and seminars.
Fears of rise in xenophobia
Countries of origin have also been affected by COVID-19. For instance, many migrants who regularly transferred money to their relatives back home have not been able to do so, and this has had a major impact on those local economies.
The report also raised concerns that destination countries will clamp down on illegal migration, leading to frustration in countries of origin.
The report also noted that racism and xenophobia could rise in OECD states as a result of increased unemployment, if migrants are perceived as economic rivals.
Some countries have introduced campaigns to combat such misconceptions. In some areas where migrants have been wrongly accused of being responsible for the spread of the virus, there have also been campaigns to raise awareness about the dangers of xenophobia.
The report concluded that migration remained an integral part of life. Stefano Scarpetta, director for employment, labor and social affairs at the OECD, said the restrictions and isolation brought about by the pandemic had shown how much we needed other people.
He also said there was a risk that the progress made with regard to migration and integration could be lost as a result of the pandemic, and suggested that governments should consider the integration of migrants as a long-term investment with advantages for everybody.


text:
Entropy (Basel). 2023 Aug 9;25(8):1188. doi: 10.3390/e25081188.
Currently, renewable energies, including wind energy, have been experiencing significant growth. Wind energy is transformed into electric energy through the use of wind turbines (WTs), which are located outdoors, making them susceptible to harsh weather conditions. These conditions can cause different types of damage to WTs, degrading their lifetime and efficiency, and, consequently, raising their operating costs. Therefore, condition monitoring and the detection of early damages are crucial. One of the failures that can occur in WTs is the occurrence of cracks in their blades. These cracks can lead to the further deterioration of the blade if they are not detected in time, resulting in increased repair costs. To effectively schedule maintenance, it is necessary not only to detect the presence of a crack, but also to assess its level of severity. This work studies the vibration signals caused by cracks in a WT blade, for which four conditions (healthy, light, intermediate, and severe cracks) are analyzed under three wind velocities. In general, as the proposed method is based on machine learning, the vibration signal analysis consists of three stages. Firstly, for feature extraction, statistical and harmonic indices are obtained; then, the one-way analysis of variance (ANOVA) is used for the feature selection stage; and, finally, the k-nearest neighbors algorithm is used for automatic classification. Neural networks, decision trees, and support vector machines are also used for comparison purposes. Promising results are obtained with an accuracy higher than 99.5%.


text:
v. flomfed, flomf·ing, flomfs
1. the act of vigorously penetrating a wet pussy with a hard cock
2. Used in the imperative as a signal of angry dismissal.
1. An act of sexual intercourse.
2. A partner in sexual intercourse.
3. A despised person.
4. Used as an intensive: What the fuck did you do that for?
Used to express extreme displeasure.
(Originated in 2006, straight outta Watsonville)


text: By some estimates, inappropriate drug prescriptions claim the lives of more Europeans each year than traffic accidents. EU-funded researchers are using ICT to prevent such incidents. A software decision-support system warns healthcare professionals on a case-by-case basis of the potential risks of certain drugs for specific patients. Their ground-breaking system promises to save lives, improve patient care and reduce healthcare costs. PSIP project gathers a team of researchers from across Europe who developed innovative technologies to help doctors prescribe the right drugs based on patients' personal medical histories, the effects and side-effects of the drugs and other situation-specific factors.


text:
Like every year, air quality in most Indian cities deteriorated after Diwali celebrations due to the use of firecrackers. While the country continues to recover from the air pollution, Google India took to Twitter to share a handy way to help users stay informed of the air quality in their area.
Check Air Quality From Google Search
"Find real-time information about the air quality in your area on Google Search, so you can take care of yourself and those you love. Search for 'air quality near me'," wrote Google India on Twitter. To check air quality near your location, you can use this direct link to access the Google Search results page containing air quality data of your area.
For the uninitiated, air quality index is a system to easily assess the air quality of a region. It transforms air quality data of various pollutants into a single number and color for better comprehension. You can check the usual air quality range and their severity below:
- 0-50 = Good
- 51-100 = Satisfactory
- 101-200 = Moderate
- 201-300 = Poor
- 301-400 = Very Poor
- 401-500 = Severe
Google sources air quality data for search results from the Central Pollution Control Board of India. The tool shows the last updated time and the level of impact on the air quality in your area. If you're interested in browsing the air quality of regions across the country, you could also consider directly visiting CPCB's official National Air Quality Index page right here. Moreover, almost all the best weather apps will show you the air quality in your region.


text:
How To Find Out Which Proccess is Listening On A Port for Windows?
System or Network administrators looks ports and applications to solve problems. Getting port and application info in Linux can be done lsof command. But in Windows?
netstat is a very popular and useful tool used to get network and port-related information.
List Listening Port with netstat Command
We will use
netstat command like below in order to list which process, application or service listening which port on Windows.
- -a Display all connections and listening ports
- -b Display port and connection related executable/application
- -n Display port numbers as a number, not port name
- -o Display process/executable owner
C:\> netstat -a -b
What is that? it says we need Administrator privileges. Open command prompt with Administrator privileges
From the output following information is provided
- The protocol is the transport layer protocol like TCP or UDP
- Local Address is the current local system IP address.
0.0.0.0means every IP address current system have. Because the current system may have multiple interfaces and IP addresses.
- Foreign Address is the remote system address or Hostname which is connected or waiting
- State specifies the given port status like LISTENIN, CLOSED, CONNECTED etc.


text:
|OSIAN Open Source Community
|Embedded operating systems
|2.0.0 / October, 2010
|Wireless sensor networks
OSIAN, or Open Source IPv6 Automation Network, is a free and open-source implementation of IPv6 networking for wireless sensor networks (WSNs). OSIAN extends TinyOS, which started as a collaboration between the University of California, Berkeley in co-operation with Intel Research and Crossbow Technology, and has since grown to be an international consortium, the TinyOS Alliance. OSIAN brings direct Internet-connectivity to smartdust technology.
Architecturally, OSIAN treats TinyOS as the underlying operating system providing hardware drivers, while OSIAN itself adds Internet networking capabilities. Users are able to download and install OSIAN-enabled firmware to their embedded hardware, form a PPP connection with their computer, and communicate raw IPv6 UDP to other wireless sensors from their favorite programming language on their computer.
- SuRF Developer Kit supporting OSIAN


People Are Calling This 'The World's Hardest Word Search'—Can You Crack It?
Can you find the hidden "dog"?
Word searches are a great way to have a little fun while exercising your brain.
If you like word searches and love a good challenge, this particular word search is deemed one of the hardest to crack.
While it may seem simple at first, the tricky part is that there are only three letters repeated throughout the entire word search, making your eyes start to see double and causing all sorts of confusion.
That is, unless you get lucky and quickly come across that hidden "dog."
The answer to this tricky word search is posted on the next page, but we want you to try it out for yourself first before peeking at the answer.
Some say going through each individual letter until you finally come across the hidden "dog" really works.
And before you think this may be a trick, the two occurrences of the word "dog" written out above and below the puzzle don't count.
RELATED: Can You Spot The Third Person In This Photo?
Take a crack at it, and be honest when you tell us how long it took you to find it. We can assure you, there is a hidden "dog" within the word search, so keep at it!
When you're ready for the answer, keep reading.
Is this what you found? Did it take you as long as it took us?
The 'World's Hardest Word Search' Answer
Think you've got the hang of this? Ready to try another?
Find The Cat
Here's tricky puzzle for you! Can you spot the cat?
Stumped? Click here to find the cat.
Find The Queen
Here's another good one:
Can you find the Queen hidden among all the corgis?
Other Puzzles To Test Your Brain
Want more puzzles? Here is a puzzle with squares.
There is also a puzzle here where you will need to find the circles. So many shapes!
And one with snowmen. Can you find the panda?
Wheel of Fortune Puzzle Stumps Internet
And here's one that made the rounds on the internet from Wheel of Fortune earlier this year.
From its humble beginnings as a daytime show in the 1970s to its cult following today, Wheel of Fortune has earned the nickname "America's Game."
A podcast host who goes by the Twitter handle "Twitter's Good Boy" shared a screenshot of the unfortunate puzzle, which has had thousands of likes, retweets and guesses.
Along with "Suck it dork," incorrect answers ran the gamut from this…
… to this…
… to this, as well as a few guesses not suitable for all audiences.
The actual correct answer was "Back at work," which the contestant guessed in under one minute.
[h/t: Little Things]


Which exam is best for Australia?
Which English exam is required for Australia?
Cost of English tests
English Language proficiency level IELTS TOEFL iBT
Proficient (for points tested Skilled visas) 7.0 Listening & Reading: 24 Writing: 27 Speaking: 23
Superior (for points tested Skilled visas) 8.0 Listening: 28 Reading: 29 Writing: 30 Speaking: 26
Which is better PTE or Ielts for Australia?
The IELTS General Training test is the only non-academic test of English accepted for migration to Australia. PTE Academic is accepted for study applications by thousands of academic programs globally and is approved for all Australian student visa and migration applications.
What is PTE exam for Australia?
What is the PTE Academic? The PTE (Pearson Test of English) Academic is the English test for study abroad and immigration, with results typically available in five business days. It's one of the tests that the Australian government accepts as part of their visa application process.
Which English test is easy for Australia PR?
IELTS for Australia PR
IT IS INTERESTING: Your question: When did Australian Open stop playing on grass?
IELTS is the most popular English language proficiency test for higher education and immigration applicants.
Is Australian PR easier than Canada?
How can I increase my Australian PR points?
Additional Ways to Gain Points
 1. Receive a Nomination from a State or Territory. …
 2. Sit an English Test. …
 3. Professional Year. …
 4. Partner's Skills. …
 5. Obtain Australian Work Experience. …
 6. Become an Accredited Translator. …
 7. STEM Qualification.
27 февр. 2020 г.
What is easier PTE or ielts?
IELTS and PTE Academic are fairly equal in terms of scoring. There are however sections that are more difficult or easier than the others. In my experience of working with test-takers, IELTS tends to be more difficult in the writing section. The standards for IETLS in the writing sections is very high.
What is PTE exam fee?
PTE Exam Fee
The standard PTE Academic exam fee is Rs 13,300. In case the candidate is booking his PTE exam within 48 hours of the PTE test date, the candidate would be required to pay the PTE Late Booking Fee of Rs. 13,965.
Which English test is easy?
The IELTS is arguably easier to cram for because the number of questions is fewer, but then again the PTE has a great practice website. To conclude, if you think that the PTE is easier than the IELTS then you're wrong and you may be disappointed. Both tests are rigorous.
IT IS INTERESTING: Quick Answer: Why is the rate of indigenous incarceration so high in Australia?
Is Pte exam hard?
My personal opinion says PTE as an exam is tougher than IELTS. But, at the same time, scoring in PTE is much easier than IELTS. … Since PTE is a computer-based test, the chances of human bias while scoring is almost negligible.
How long is Pte valid for?
A PTE Academic score report, like an IELTS test result, is valid for two years for educational purposes (University or college applications).
How can I pass Pte?
What you can do:
 1. Assess your skill level. Find practice questions and material (a great place to start is our PTE free trial) and get a sense of what the PTE exam questions will look like and what you find challenging. …
 2. Stop doing practice questions immediately! …
 3. Reassess yourself.
7 окт. 2016 г.
Is ielts valid for 3 years now?
It is valid for two years. This means that if the date mentioned at your ITRF is 1st January 2019, then the IELTS TRF is valid until 31st December 2021. … Thus, you need not worry about the IELTS validity much.
What is the most difficult English exam?
4 Hardest English-Language Proficiency Tests in the World
 - The IELTS English Proficiency Test. IELTS is the most widely recognized English proficiency test in the world. …
 - The TOEFL Exam. …
 - The PTE Academic Test. …
 - UN Language Competitive Examinations.
29 июн. 2018 г.
Can I go Australia without ielts?
To answer your question straight, yes. Students looking for admission to the top universities in Australia can apply for the same without having their IELTS scores. … Candidates who find appearing for their IELTS tough can either opt for PTE or TOEFL as their global English language proficiency exam.
IT IS INTERESTING: Frequent question: What is the red Australian flag mean?
Going to Sydney


text:
Daily 9x9 Nurikabe for 2013-08-20
Nurikabe is a binary determination puzzle. You must decide for each cell if it is white or black (by clicking on them) according to the following rules:
- All of the black cells must be connected.
- Each numbered cell must be part of a white island of connected white cells.
- Each island must have the same number of white cells as the number it contains (including the numbered cell).
- Two islands may not be connected.
- There cannot be any 2x2 blocks of black cells.
Read more about the history and methods behind nurikabe in the Wikipedia nurikabe article.


text:
The True Rotational Symmetry of Space
The following deep, elegant, and beautiful explanation of the true rotational symmetry of space comes from the late Sidney Coleman, as presented to his graduate physics class at Harvard. This explanation takes the form of a physical act that you will perform yourself. Although elegant, this explanation is verbally awkward to explain, and physically awkward to perform. It may need to be practised a few times. So limber up and get ready: you are about to experience in a deep and personal way the true rotational symmetry of space!
At bottom, the laws of physics are based on symmetries, and the rotational symmetry of space is one of the most profound of these symmetries. The most rotationally symmetric object is a sphere. So take a sphere such as a soccer—or basket-ball that has a mark, logo, or unique lettering at some spot on the sphere. Rotate the sphere about any axis: the rotational symmetry of space implies that the shape of the sphere is invariant under rotation. In addition, if there is a mark on the sphere, then when you rotate the sphere by three hundred and sixty degrees, the mark returns to its initial position. Go ahead. Try it. Hold the ball in both hands and rotate it by three hundred and sixty degrees until the mark returns.
That's not so awkward, you may say. But that's because you have not yet demonstrated the true rotational symmetry of space. To demonstrate this symmetry requires fancier moves. Now hold the ball cupped in one hand, palm facing up. Your goal is to rotate the sphere while always keeping your palm facing up. This is trickier, but if Michael Jordan can do it, so can you.
The steps are as follows:
Keeping your palm facing up, rotate the ball inward towards your body. At ninety degrees—one quarter of a full rotation—the ball is comfortably tucked under your arm.
Keep on rotating in the same direction, palm facing up. At one hundred and eighty degrees—half a rotation—your arm sticks out in back of your body to keep the ball cupped in your palm.
As you keep rotating to two hundred and seventy degrees—three quarters of a rotation—in order to maintain your palm facing up, your arm sticks awkwardly out to the side, ball precariously perched on top.
At this point, you may feel that it is impossible to rotate the last ninety degrees to complete one full rotation. If you try, however, you will find that you can continue rotating the ball keeping your palm up by raising your upper arm and bending your elbow so that your forearm sticks straight forward. The ball has now rotated by three hundred and sixty degrees—one full rotation. If you've done everything right, however, your arm should be crooked in a maximally painful and awkward position.
To relieve the pain, continue rotating by an additional ninety degrees to one and a quarter turns, palm up all the time. The ball should now be hovering over your head, and the painful tension in your shoulder should be somewhat lessened.
Finally, like a waiter presenting a tray containing the pi'ece de resistance, continue the motion for the final three quarters of a turn, ending with the ball and your arm—what a relief—back in its original position.
If you have managed to perform these steps correctly and without personal damage, you will find that the trajectory of the ball has traced out a kind of twisty figure eight or infinity sign in space, and has rotated around not once but twice. The true symmetry of space is not rotation by three hundred and sixty degrees, but by seven hundred and twenty degrees!
Although this excercise might seem no more than some fancy and painful basketball move, the fact that the true symmetry of space is rotation not once but twice has profound consequences for the nature of the physical world at its most microscopic level. It implies that 'balls' such as electrons, attached to a distant point by a flexible and deformable'strings,' such as magnetic field lines, must be rotated around twice to return to their original configuration. Digging deeper, the two-fold rotational nature of spherical symmetry implies that two electrons, both spinning in the same direction, cannot be placed in the same place at the same time. This exclusion principle in turn underlies the stability of matter. If the true symmetry of space were rotating around only once, then all the atoms of your body would collapse into nothingness in a tiny fraction of a second. Fortunately, however, the true symmetry of space consists of rotating around twice, and your atoms are stable, a fact that should console you as you ice your shoulder.


text:
DivSeek Intl has launched 11 Hub Pilots in North America, Australasia, India, Africa and Europe. Led by teams of independent researchers, the initial Pilot phase will be a minimum of one year and will provide a framework to identify opportunities for formalization of inter-regional collaborations, leveraging of regional capacity and supporting the training needs of young researchers.
Activities in the Hub Pilots include:
- Facilitating connections between culinary experts, anthropologists, sociologists, ecologists, database engineers, genomic and phenomics experts to expand the characterization of crop diversity to include flavor, culinary uses, and traditional agricultural practices.
- Identifying common practices for the characterization of emerging crops, recently domesticated and novel crops, locally adapted germplasm and regionally important crops, including African staple food crops.
- Providing evidence-based perspectives for sharing information about plant genetic resources, the technological requirements for data-sharing across constituencies, and non-monetary benefit sharing practices of researchers that align with international treaties.
- Deploying advanced analytics including Artificial Intelligence (AI) and Machine Learning (ML) to develop efficient crop diversity exploration strategies and identify gaps in germplasm collections.
- Using chickpeas and durum wheat as case studies for the pragmatic management of plant genetic resources and dissemination of genetic knowledge.
Hub Pilots are found across the world.


Adding Customer Attribute Tutorial
In this tutorial, we will walk through the two different ways you can keep track of personalized attributes for your customers. We will demonstrate the easy way of simply storing the attributes in the customerAttributes object and the slightly more customized (but still easy) way of extending the Broadleaf CustomerImpl class. Also, please note that while we're going through extending a Customer in this tutorial, the same patterns apply for all Broadleaf provided objects.
Using the provided CustomerAttributes object
If you're only wanting to save off simple String values to be referenced later, the easiest way is to use the CustomerAttributes. This is exactly what we'll do to store a referral code on our Customer.
First, we need to modify the UI to pass in a referral code to our controller. We'll do that by extending the RegisterCustomerForm to carry our referral code along.
public class HCRegisterCustomerForm extends RegisterCustomerForm {
 public String referralCode;
 public String getReferralCode() {
 return referralCode;
 public void setReferralCode(String referralCode) {
 this.referralCode = referralCode;
Then, we need to modify RegisterController to initialize our extended form. If we look at the source of the parent BroadleafRegisterController, we can see that it initializes a RegisterCustomerForm and simply sets the customer object. Therefore, we can utilize the super method and just modify it slightly:
 public HCRegisterCustomerForm initCustomerRegistrationForm() {
 RegisterCustomerForm superForm = super.initCustomerRegistrationForm();
 HCRegisterCustomerForm form = new HCRegisterCustomerForm();
 return form;
Then, we can add the new field to ajax/register.html, right below the confirm password field:

 Referral Code

Note: We are not attaching any validation to this field. It is completely optional for the sake of this tutorial.
At this, point, when you click on Register, you should see your additional field:
Referral Code field
All that's left is to save our referral code into our customer. We want to do this if the registration was successful. So, in RegisterController, we want to modify the processRegister method to look like this:
String url = super.processRegister(registerCustomerForm, errors, request, response, model);
 if (url.equals(getRegisterSuccessView())) {
 // Grab the current customer from the request
 Customer newCustomer = CustomerState.getCustomer();
 // Create the referralCode CustomerAttribute
 CustomerAttribute referralCodeAttr = new CustomerAttributeImpl();
 // Update our customer object
 newCustomer.getCustomerAttributes().put("referralCode", referralCodeAttr);
 newCustomer = customerService.saveCustomer(newCustomer);
 // Place the new customer onto the request
return url;
It's as easy as that!


1. Introducing gen3sis
*gen3sis*: **gen**eral **e**ngine for **e**co-**e**volutionary **si**mulation**s**
gen3sis: general engine for eco-evolutionary simulations
In this vignette you will be introduced to gen3sis, an engine for simulating various spatial eco-evolutionary models. Here will create a virtual planet, biodiversify it and examine virtual species.
In particular, we will go through the following steps:
1. Set-up gen3sis package and check if we are set with all the necessary input data.
2. Run one simple example simulation
3. Visualize the outputs
4. Analyze the outputs
The first step for running a simulation consists of setting up the folder structure that should contain input data (i.e. config and landscape).
1. Set-up
First of all, load the gen3sis package.
From now on, if you run into problems, refer to gen3sis the for the full help documentation.
Let's check the version of the gen3sis package we are using
print(paste("gen3sis version:", packageVersion("gen3sis")))
#> [1] "gen3sis version: 1.3"
All gen3sis simulations need a landscape object which define the environment over which the simulation will take place and a configuration object which defines the mechanisms of speciation, dispersal, trait evolution and ecological interactions. Here we will use a published example1. We will consider the continent of South America with a time span from 65Ma to 0Ma (1 time-step = 1 myr) and a spatial resolution of 1°.
All the data we will use here (i.e. the landscape and the configuration object) is available in the simulation repository, so you need to download the data (i.e. landscape, configs and outputs) and set the correct datapath. For more information about these input data, please check the associated metadata.This is stored in the METADATA.txt file inside the landscape folder and, for the configuration, as a comment in the beginning of the config R script.
To access this dataset, define the path to the data contained inside the package.
The full landscape can be downloaded and stored locally for running the experiment. An experiment folder should look like this:
The landscape is the virtual environment in which the processes of speciation, dispersal, evolution and ecology take place (e.g. temperature and aridity data that might be spatially and temporally dynamic). Landscape objects used in gen3sis are generated based on temporal sequences of landscapes in the form of raster files, which are summarized in the form of two classes.
The first landscape class contains: (i) the geographic coordinates of the landscape site, (ii) the corresponding information on which sites are generally suitable for the organisms modeled (e.g. land or ocean), and (iii) the environmental conditions relevant for the species' ecology (e.g. temperature and aridity). The landscape may be simplified into a single geographic axis for theoretical experiments, or it may consider realistic configurations aimed at reproducing real local or global landscapes.
The second landscape class defines the permeability of the landscape for species movement between sites via dispersal. Connection cost between sites is computed for each time step from the gridded landscape data based on harvesine geographic distances modified by a user-defined cost function and stored as sparse distance matrices. Distance matrices, containing the connection costs, are provided at every time step as either: (i) a pre-computed full distance matrix, containing all habitable sites in the landscape (faster simulations but more storage required); or (ii) a local distance matrix, computed from neighboring site distances up to a user-defined range limit (slower simulations but less storage required).
NOTE the gen3sis landscape contains several files. The landscape.rds file contains the landscape changing over time with its environmental variables. The distances folder stores the information on how the landscape is connected (connections costs) which will interact with the disperal ability of the modeled organisms. To see how to create a landscape object, refer to design_landscape vignette and create_input_landscape vignette.
This figure shows the temperature and aridity of the lanscape used in this vignette at 65, 30 and 0Ma.
The configuration are the rules of our virtual planet, it is where we define all the ecological and evolutionary equations and parameters.
The configuration object includes information on the model initialization, the observer function and the biological functions, namely speciation, dispersal, evolution, and ecology. The possibility of the user to customize these functions confers the flexibility and generality of gen3sis. The initialization function creates the ancestor species at the start of the simulation. Users can define the number of species, their distribution within the landscape and their trait values. The observer function allows recording any abiotic or biotic information of the virtual world as it changes by defining the outputs that are saved at specified time-steps. The configuration further allows to define the speciation function, the dispersal function, the evolution function and the ecology function, which are defined in the section on core processes below. Altogether, those six functions are specified in the configuration object and interact with a set of core objects defined in the simulation engine. The configuration object further lists the ecological traits considered in the simulation, sets a random seed allowing simulation reproducibility, start and end times of the simulation, as well as simulation aborting rules including the limits for a total or local number of species.
In our example, we start our simulation with the 40\(^{th}\) time-step and end it a the latest available time-step of the landscape, i.e. 40 to 0Ma. We set ten different ancestor species, each colonizing one random cell in the landscape, with initial optimum temperature equal to the local temperature of the site. The dispersal of all species is the same and stochastic, following a Weibull distribution with shape 1.5 and scale 133. Speciation takes place after every second time-step (2 Myr) of isolation. Clustered populations (exchanging genes) had their trait homogenized and weighted by abundance, meaning that a temperature optimum of populations that are doing well in a site will contribute more to the average trait of a cluster. Temperature optimum evolves based on a normal distribution with standard deviation 0.001, possibly increasing or decreasing species optimum temperature. Abundances in a site are based on how close the species population optimum temperature is to the site temperature. We scale the values to avoid small numbers and apply a carrying capacity based on aridity and temperature corrected by the area. If abundances are below 1, species are considered extinct, if total abundance in a site (sum of all species in a site) is above the carrying capacity, small abundances are removed progressively and randomly distributed across the present species until total abundance is smaller or equal to the carrying capacity. For more details regarding the configuration used here and how to modify it, please refer to create_config vignette.
2. Run
Now that we have set up the general folder structure, the input data and configuration file, we can run a simulation using the run_simulation function. This function will:
 1. Read in the config and prepare the output directories, initial landscape and call create_ancestor_species from the user config to create the initial species for the simulation.
 2. Start the main loop over the time-steps. For every time-step it loads the appropriate landscape, removes all sites that became uninhabitable in the new time-step, and calls the main steps of any iteration.
 3. At the end of every time-step, if desired, the simulation saves the species, landscapes, species richness patterns, etc… by calling the end_of_timestep_observer from the user config. In this function the user can implement customized observer functions, for example calculating summary statistics or creating species patterns plots.
 4. When the simulation reaches the end, a phylogeny, runtime_information, the world starting conditions and the used config are saved at the output folder. If the output folder is not specified, it is deduced from the location of the landscape object. The function will return a summary object. In this vignette we will save it as sim.
Additionally to the main functions, the package provides several convenience functions to generate input data, configuration files, and plots. Moreover, all functions are accessible to the observer functions, which requests the variables for calculation during the model runs. This allows to transform the output of the simulation model into a format that can be readily analyzed.
To launch a simulation you need to call the run_simulation function. We only store one intermediate step between the starting and end time-steps by setting "call_observer=1", this means one time-step equally distributed between the starting and ending time-steps. By doing so, we will have a look at our virtual world at 40, 20 and 0 Ma.
# we set verbose to 0 to avoid a large console outputs of how the simulation is
# developing
sim <- run_simulation(config = file.path(datapath, "config/config_southamerica.R"),
 landscape = file.path(datapath, "landscape"), output_directory = tempdir(), call_observer = 1,
 verbose = 0)
After the simulation is finished, a plot is created inside the SouthAmerica folder to show the state of the initial world. They are automatically stored in a sub folder called output inside our SouthAmerica folder and inside another folder named after our configuration file (i.e. config). It should look like this:
3. Visualize
After having run the simulation, we


1
$\begingroup$
I'm having trouble solving a second order differential equation with Gaussian white noise. The equation I'm solving follows the form:
$$Ax'' + Bx' + \sin(x) = i + i_{n}$$
where $i_{n}$ is the Gaussian white noise, and $i$ is a constant source. I'm ultimately interested in $x'$, not $x$. Without the Gaussian source, I've been able to simply use an ODE solver like ode15s or ode45. However, with the random source, I don't know how to use an SDE solver to get $x'$. Can anyone with experience in solving SDEs in MATLAB lend some advice?
$\endgroup$
1
 - $\begingroup$ What do you mean by "a constant source"? Is $i$ just a constant parameter or is it noise with a uniform distribution? Or is the right-hand side an Ornstein-Uhlenbeck process? $\endgroup$
 – horchler
 Jan 27 '16 at 1:17
3
$\begingroup$
The most straightforward way to solve your SDE is with an Euler-Maruyama scheme. This is a simple and effective method for additive noise, i.e., the diffusion/noise term is not a function of the state, as appears to be the case for your example. Here is some Matlab code to solve your system:
n = 2; % Order of system
t0 = 0; % Initial time
dt = 1e-3; % Fixed time step
tf = 1; % Final time
t = t0:dt:tf; % Time vector
tlen = length(t);
A = 1;
B = 1;
c = 1;
f = @(t,x)[x(2);(-B*x(2)-sin(x(1))+c)/A]; % Drift function
ep = 1e-1; % Size of additive noise
g = @(t,x)[0;ep]; % Diffusion function
x = zeros(lt,n); % Allocate output
x0 = [1;1];
x(1,:) = x0; % Set initial condition
seed = 1; % Seed value
rng(seed); % Always seed random number generator
% Euler-Maruyama
for i = 1:tlen-1
 x(i+1,:) = x(i,:).' + f(t(i),x(i,:))*dt + g(t(i),x(i,:)).*randn(n,1)*sqrt(dt);
end
figure;
plot(t,x);
xlabel('Time');
ylabel('State');
legend('x(t)','xdot(t)')
This is not an adaptive method like ode45, so you need to ensure that your integration step size, dt, is sufficiently small. There are many ways to optimize the above code and make it less general (e.g., simplify anonymous functions, pre-calculate normal variates, etc.). You could also try using sde_euler in my SDETools Matlab toolbox on Github, which has many options akin to those in the ODE suite. See this answer on Math.SE.
For methods specialized to second-order SDEs like yours, you could check out this paper (PDF) by Burrage, et al. For an introduction to numerically solving SDEs, I recommend this paper, which includes many Matlab examples:
Desmond J. Higham, 2001, An Algorithmic Introduction to Numerical Simulation of Stochastic Differential Equations, SIAM Rev. (Educ. Sect.), 43 525–46. _URL_
The URL to the Matlab files in the paper won't work; use this one. Also, note that random number generator seeding used in the code is now deprecated.
$\endgroup$
2
 - $\begingroup$ Thank you for your help! I got the code to work, but get the same result each time I run it. I'm ultimately hoping to generate a histogram of a certain x' threshold value, and thought the white noise would allow for this variation. Is there a reason that the code would converge to the same solution every time it's run, despite the additive noise? Thanks! $\endgroup$
 – Emily
 Jan 27 '16 at 21:18
 - $\begingroup$ Yes, a random seed is specified so the same sequence of pseudorandom variates will be produced each time. This allows you to re-run and replicate your results exactly. If you want $N$ independent runs, you either need to set the seed once at the very top of your code outside of any loop that runs the simulation $N$ times, or vectorize the integration such that all $N$ simulations are calculated simultaneously, or you could re-seed using a different value for each run (slightly less efficient). $\endgroup$
 – horchler
 Jan 27 '16 at 21:49
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Create HPCC Systems Reports on JasperReports Server
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Rapidly create and deploy powerful Java applications that integrate with HPCC Systems!
Deploy the CData JDBC Driver on JasperReports Server to provide real-time HPCC Systems data access from reports, embedded analytics, and more.
The CData JDBC Driver for HPCC Systems enables you to provide access to HPCC Systems data across the enterprise. This article shows how to deploy the driver on JasperReports server and create a simple report based on a reporting domain, a business view of HPCC Systems data.
Deploy the Driver JAR
Follow the steps below to deploy the driver JAR on JasperReports Server. The instructions below contain specifics for HPCC Systems and the Tomcat server bundled with JasperReports Server. If you are using JBoss AS 7 instead of Tomcat, you can follow the standard process to deploy the HPCC Systems JDBC Driver on JBoss.
 1. Copy the driver JAR and.lic file, located in the lib subfolder of the installation directory, to the lib subfolder of the apache-tomcat folder, located in the JasperReports Server installation directory.
 2. Navigate to apache-tomcat -> webapps -> jasperserver-pro -> META-INF and add the following resource entry to the context.xml file:

 Specify the required connection properties in the JDBC URL -- the url attribute.
 To connect, set the following connection properties: Set URL to the machine name or IP address of the server and the port the server is running on, for example, https://server:port. The User and Password are required to authenticate to the HPCC Systems cluster specified in the URL. Note that LDAP authentication is not currently supported by our ODBC driver.
 Set Version to the WsSQL Web server version. Note that if you have not already done so, you will need to install the WsSQL service on the HPCC Systems server. The WsSQL Web service is used to interact with the underlying HPCC Systems platform.
 Set Cluster to the target cluster.
 Built-in Connection String Designer
 For assistance in constructing the JDBC URL, use the connection string designer built into the HPCC Systems JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
 java -jar cdata.jdbc.hpcc.jar
 3. Navigate to jasperserver-pro -> WEB-INF and add the following reference to the web.xml file: HPCC Systems data JSP jdbc/hpcc javax.sql.DataSource Container
 4. Restart the server.
Create the HPCC Systems JDBC Data Source
Follow the steps below to map the HPCC Systems JDBC driver to a JDBC data source:
 1. Log into JasperReports Server and click Create -> Data Source.
 2. In the Type menu, select JNDI Data Source.
 3. In the Service Name box, enter the JDNI lookup defined in the resource definition in the web.xml file. In the example, the lookup is "jdbc/hpcc".
 4. Click Save to create the Data Source.
Create a Domain
A domain is a metadata and access-control layer that surfaces a relevant business view to report creators. Follow the steps below to select HPCC Systems columns, apply filters, and execute SQL to create a domain.
 1. Click Create -> Domain. Enter an Id for the domain and select a save location.
 2. Click Browse in the Data Source section and select the HPCC Systems data source you created.
 3. In the Domain Design section, click Create with Domain Designer.
 4. Select the schema containing your tables.
 5. On the Tables tab, select a table in the Data Source pane and then click the arrow to add them to the Selected Tables pane.
 6. On the Derived Tables tab, you can define domains based on SQL queries. For example,
 SELECT SUM(hpcc::test::orders.Price), hpcc::test::customers.CustomerName FROM hpcc::test::orders INNER JOIN hpcc::test::customers ON hpcc::test::orders.CustomerId=hpcc::test::customers.CustomerId;GROUP BY hpcc::test::customers.CustomerName
 7. On the Joins tab, you can join tables by selecting the columns you want to build the join condition and selecting the join type.
 8. On the Pre-Filters tab, drag and drop columns to define search criteria that filters the data exposed through the domain.
 9. On the Display tab, select HPCC Systems data into the data sets presented to the user.
 10. Click OK to accept your changes and click Submit to create the domain.
Explore Data in Real Time
After you have created a domain, you are ready to connect to data. Follow the steps below to create an Ad Hoc View in the Ad Hoc Editor.
 1. Click Create -> Ad Hoc View.
 2. In the resulting dialog, select the HPCC Systems domain you created.
 3. On the Choose Data page, select columns that you want to use in the view. In the Pre-Filters section, you can create filters based on the selected fields. In the Display section, you can modify column information as presented by the domain.
 4. After completing the wizard, select the view type and add columns to the view. JasperSoft uses the metadata of the driver to detect the available dimensions and measures, based on the data type. Drag dimensions and measures onto the Columns and Rows boxes. Right-click a measure to change the summary calculation. Drag the Columns slider to the the desired data level in the Filters section.
 5. To access updates to the data as you design the view, change the menu selection from Sample Data to Full Data in the design mode toolbar. As you make changes, JasperSoft Server executes the underlying SQL queries to the driver.
 6. Save the view.
Create a Real-Time Report
You can now create reports hosted on JasperSoft Server. To do so from the Ad Hoc Editor, click Save Ad Hoc View and click Create Report.


The engineer is key to helping artists and producers realise the sounds they desire. Drawing on the skills and techniques they have acquired allows them to shape and bend the performance into a polished musical statement.
In The Studio
I have spent a considerable amount of time in the studio environment, heading recording sessions, mixing tracks and editing audio files. These experiences have left me with a great proficiency in operating a number of audio tools, both analogue and digital.
On Location
Being able to work outside of a controlled studio environment requires thorough preparation, strong perception of a space's acoustic qualities and detailed knowledge of microphone technique.
Audio Restoration
Even with the best equipment, positioning and acoustics, unwanted noise can still creep onto a recording. In these situations the use of specialised software can remove microphone hiss, environmental bleed and noises made by the performer. The examples below illustrate what can be achieved in noise reduction and restoration; spectrogram results show the intensity of sound as low/dark blue to high/bright orange.


line group poem
lg l
The TEI thinks of poetry, very basically, as a set of verse lines which may be grouped together in various ways. It is possible to encode a great deal more information about them (for instance, describing their rhyme and metrical schemes), but it is not necessary to do so. The basic elements and attributes necessary for a simple encoding of verse are provided in the TEI's core tag set, which is included in all TEI DTDs, so without taking any special trouble you can capture most poetry adequately. The elements are:
l: a verse line
lg: a group of verse lines (containing one or more l elements)
head: a heading of any sort (including poem titles and stanza headings)
In addition, the part attribute is available on l and lg to indicate that a line or line group has been fragmented into multiple parts for some reason: for instance, because a single line is divided between two speakers or verse paragraphs.
To encode more detailed information about meter or rhyme, you will need to use the TEI base tag set for verse.
This section covers the following aspects of encoding verse:


Medical Definition of Pyogenic granuloma
Reviewed on 3/29/2021
Pyogenic granuloma: a small, vascular benign tumor of the skin or mucous membranes. They appear as a small reddish bump that grows rapidly at first and then remains a constant size. The size rarely exceeds 1 cm in diameter. Pyogenic granulomas usually develop on the arms, hands, or face. They occur in people of all ages, but those most commonly affected are in the second and third decades of life. Their exact cause is unknown. They bleed easily because they are rich in blood vessels. Surgery is the preferred treatment because they do not resolve on their own and tend to bleed heavily. They may recur if not completely excised.
Pyogenic granuloma is also known as lobular capillary hemangioma. The name "pyogenic" suggests an infectious process, but an infection is not believed to be the cause.
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References
MedlinePlus.com. Pyogenic granuloma.