text:
Snapchat expands Discover in France with Vogue, MTV, L'Express and Society
Publishing on Snapchat
June 30, 2017 by Lucinda Southern
This weekend, four more publishers in France — Vogue, MTV, L'Express and Society — are joining Snapchat Discover, increasing the number of media partners there from eight to 12.
Until now, all eight French Discover partners have published daily stories. Of the new slate, MTV will publish daily editions, L'Express will publish a weekly edition covering news and current affairs every Friday, and Society will publish an edition featuring several long-form articles every Sunday. Vogue will publish editions every Saturday, Tuesday and Thursday.
This is the first initiative from Condé Nast International to pool the efforts of the group's titles on a cross-country scale since it centralized its digital editorial efforts in October.
"We were keen to ensure that the Snapchat team doesn't operate in a silo," said Sarah Marshall, growth editor at Vogue International. The editorial is driven by the Vogue Paris team, including a dedicated Snapchat Editor, who will pitch stories and provide designs which are mostly exclusive to Snapchat, like an exclusive video with Gigi Hadid. The Snapchat team of six in London then produces the top snaps and long-form content in tight collaboration with the Paris team, as well as timely and breaking news, ensuring a coherent edition of Vogue Paris.
Society, a twice-monthly print magazine that specializes in long-form journalism on topics like art, sports and economics, is building a core team of five motion designers to create Snapchat content, but anyone from the 20-person editorial team can pitch Snapchat stories.
One recent article follows a group of Italian anti-fascist boxers. Brieux Férot, head of development at Society parent company So Press, said a long-form article in the magazine like that one could feature eight different characters, but for Discover, it would focus on just one of them. Each weekly edition will likely feature two or three of Society's stories.
In December, Snap announced there were 8 million daily Snapchat users in France, 75 percent of whom are over 18. The app has 11 million monthly unique users in France (out of an internet population of 60 million in the country), according to French measurement company Médiamétrie. Snap said Snapchat Discover has doubled since December, and time spent within Discover has more than tripled.
"The user engagement within Snapchat is unique, as is the quality of their advertising experience, which is why we are very optimistic that Vogue on Snapchat Discover will become a highly profitable channel in the medium term," said Wolfgang Blau, chief digital officer of Condé Nast International.
Digiday Publishing Summit
Vail, CO
Discover launched in France in September with eight local language partners, Paris Match, Cosmopolitan, Le Monde, L'Équipe, Melty, Konbini, Tastemade and Vice. The company wouldn't share how big the France team is.
Discover partners have said Snapchat is still an investment — and some major French publishers have taken a pass. After speaking with several French Discover partners about their investment and revenue, top newspaper Le Figaro refrained from joining Discover this year, but it said that could change down the line.
"You're not totally sure you'll get your money back because you don't really control the revenue," said Bertrand Gié, head of new media at Le Figaro. "In France, we say, 'You're not able to follow many hares.' We have to focus."
For many, including Society's Férot, this is not an issue. "We know that's part of the deal with working with a global tech startup like Snapchat," he said, "and we trust them."
'We don't get any real figures': In risk-averse Germany, Snapchat faces challenges
May 11, 2017 by Jessica Davies
In France, Snapchat takes the lead in producing political content
April 19, 2017 by Jessica Davies
Life Beyond the Cookie
January 29, 2020 by Lucinda Southern
January 29, 2020 by Tim Peterson
The Programmatic Publisher
A key web standards group will help decide what comes after the third-party cookie
January 29, 2020 by Lara O'Reilly
January 29, 2020 by Shareen Pathak
Beyond Ads
'It's about whether it will scale': Publishers take a wait-and-see approach to Scroll
January 29, 2020 by Max Willens


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\section*{Abstract}
Dengue is a mosquito-borne disease that threatens more than half of the world's population. Despite being endemic to over 100 countries, government-led efforts and mechanisms to timely identify and track the emergence of new infections are still lacking in many affected areas. Multiple methodologies that leverage the use of Internet-based data sources have been proposed as a way to complement dengue surveillance efforts. Among these, the trends in dengue-related Google searches have been shown to correlate with dengue activity. We extend a methodological framework, initially proposed and validated for flu surveillance, to produce near real-time estimates of dengue cases in five countries/regions: Mexico, Brazil, Thailand, Singapore and Taiwan. Our result shows that our modeling framework can be used to improve the tracking of dengue activity in multiple locations around the world.

\section*{Author Summary}
As communicable diseases spread in our societies, people frequently turn to the Internet to search for medical information. In recent years, multiple research teams have investigated how to utilize Internet users' search activity to track infectious diseases around our planet. In this article, we show that a methodology, originally developed to track flu in the US, can be extended to improve dengue surveillance in multiple countries/regions where dengue has been observed in the last several years. Our result suggests that our methodology performs best in dengue-endemic areas with high number of yearly cases and with sustained seasonal incidence.

\section*{Introduction}

Dengue fever poses a growing health and economic problem throughout the tropical and sub-tropical world. Dengue is today one of the fastest-growing and most important mosquito-borne viral diseases in the world, with an estimated 390 million dengue infections each year and threatening an estimated 3.9 billion people in 128 countries \cite{WHO2016dengue}. Infection often causes high fever and joint pain, and severe cases can lead to hemorrhage, shock and death. Dengue epidemics strain health services and lead to massive economic losses.

Dengue mortality and morbidity both need to be addressed to reduce this heavy burden. The World Health Organization has called for better early case detection among other tactics to reduce dengue mortality, and to reduce dengue morbidity through improved outbreak prediction and detection through coordinated epidemiological and entomological surveillance.

However, a comprehensive, effective and reliable disease surveillance system for dengue is not yet available. Governments traditionally rely on hospital-based reporting, a method that is often lagged and limited with frequent post-hoc revisions, due to communication inefficiencies across local and national agencies and the time needed to aggregate information from the clinical to the state level \cite{runge2008does,madoff2011new}. This lack of timely information limits the identification and optimization of effective interventions. Measurement difficulties are compounded by the fact that a majority of dengue cases are asymptomatic \cite{world2009dengue}.

In this context, building an effective disease surveillance tool is essential to being able to identify and assess the severity of dengue outbreaks and to enable better assessment of the effectiveness of ongoing interventions. Such tool(s) should provide accurate and consistent measures of regional or national infection levels, be updated in near real-time, and be immune to bureaucratic or resource-related delays. To improve accuracy, these tools should use and link together multiple sources of information, using both traditional and non-traditional sources.

Over the years, a broad range of traditional epidemiological methods have been proposed by research teams to fill this time gap of information by supplementing official case counts with now-cast predictions using historical dengue incidence data from previous seasons. Autoregressive models, such as Seasonal Autoregressive Integrated Moving Average (SARIMA) model, that take into account historical and seasonal patterns, have been shown to produce useful disease estimates, some including additional variables such as concurrent weather information \cite{johansson2016evaluating,promprou2006forecasting,luz2008time,choudhury2008forecasting,eastin2014intra}. Other studies have further examined climate-driven models, finding associations of seasonal and long-term weather patterns such as El Ni\~no with dengue levels in various countries \cite{johansson2009multiyear,hii2012forecast,hurtado2007short,lu2009time}.
In addition, various mechanistic models on the dynamics of dengue transmission have also been explored, with some recent promise \cite{aguiar2011role}. A comprehensive survey of these methods are given in Andraud et al. \cite{andraud2012dynamic}

In parallel and complementary to the aforementioned methodologies, the global spread of the Internet has opened up the opportunity to investigate whether users' activity patterns on Internet search-engines and social media platforms may lead to reasonable estimates of dengue infection levels \cite{chan2011using, gomide2011dengue, althouse2011prediction}. In theory, Internet search tracking is consistent, efficient, and reflects real-time population trends, giving it strong potential to supplement current epidemiological methods \cite{milinovich2014internet,madoff2011new}. Studies have previously demonstrated the feasibility of using Internet search data to track dengue case counts \cite{chan2011using,althouse2011prediction}. Google Dengue Trends (GDT), launched in 2011, was one of the first tools to quantitatively track dengue activity in multiple regions throughout the world by leveraging the aggregate Google search patterns of millions of users \cite{chan2011using}. Since its start, the methodology behind GDT has been updated to address flaws found in its sister effort, Google Flu Trends \cite{ginsberg2009detecting, cook2011assessing, olson2013reassessing, copeland2013google, lazer2014parable, santillana2014can, yang2015accurate, pollett2016evaluating, santillana2016perspectives}, before finally being discontinued in August 2015. An assessment of GDT in Mexico showed mixed prediction accuracy compared to official case counts, with strong correlation in some states \cite{gluskin2014evaluation}.

Despite progress in the use of both dengue historical information (time series approaches \cite{johansson2016evaluating}) and real-time Internet searches for dengue tracking \cite{chan2011using}, an approach for accurate tracking of dengue by combining the respective strengths of each data source has not been documented to the best of our knowledge. We extend a methodology recently introduced in the flu surveillance literature, to combine dengue-related Google searches with historical dengue case counts to track dengue activity. Specifically, we evaluate the predictive performance of the ARGO model, as introduced in \cite{yang2015accurate}, to track dengue in five countries/regions around the globe: Mexico, Brazil, Thailand, Singapore, and Taiwan. Our contribution shows that the lessons learned to track influenza in data-rich environments, like the United States, can be used to develop methodologies to track an often-neglected tropical disease, dengue, in data-poor environments.

\section*{Materials and Methods}
\subsection*{Data}
We used two kinds of data sets for our study: (a) historical dengue incidence from government-led health agencies and (b) Google search fractions of dengue-related queries, aggregated at the national-level.

\subsubsection*{Historical dengue data}

\paragraph{Mexico.}
Monthly-aggregated dengue case counts data from January 2001 to August 2015 were obtained from Mexico's Department of Epidemiology. \url{http://www.epidemiologia.salud.gob.mx/anuario/html/anuarios.html}

\paragraph{Brazil.}
Monthly dengue case counts data from January 2001 to December 2012 were obtained from the old website of Brazil's Ministry of Health (\url{http://dtr2004.saude.gov.br/sinanweb/tabnet/dh?sinannet/dengue/bases/denguebrnet.def}) on July 14, 2015. This site is no longer accessible, since the Ministry has moved to a new website (\url{http://portalsaude.saude.gov.br/index.php/situacao-epidemiologica-dados-dengue}), which now publishes weekly dengue data from 2014-present. This site contains annual dengue cases since 1990 but no longer has the historical monthly data. We confirmed that the annual totals match the sum of case counts over each year in our dataset.

\paragraph{Thailand.}
Monthly dengue case count data from January 2003 to August 2015 were obtained from the Bureau of Epidemiology, Thailand (\url{http://www.boe.moph.go.th/boedb/surdata/disease.php?ds=66}). New data are published in an annual document available on the site.

\paragraph{Singapore.}
Weekly dengue case counts from January 10, 2004 to August 29, 2015 were obtained from the Singapore Ministry of Health and were aggregated into months. \url{https://www.moh.gov.sg/content/moh_web/home/statistics/infectiousDiseasesStatistics/weekly_infectiousdiseasesbulletin.html}.

\paragraph{Taiwan.}
Weekly dengue case counts from January 3, 2009 to March 19, 2016 were obtained from the Taiwan Ministry of Health and Welfare and were aggregated into months. \url{http://nidss.cdc.gov.tw/ch/SingleDisease.aspx?dc=1&dt=4&disease=061&position=1}.

\subsubsection*{Online search volume data}
Google search fractions for dengue-related queries were obtained from Google Trends (\url{www.google.com/trends}).

\paragraph{Online search term selection}
We initially intended to use Google Correlate (\url{www.google.com/correlate}), which is designed to identify search terms correlating highly with a given time series, but we found the tool unreliable as many of the search terms returned were not related at all to dengue. Consequently, we used the Google Trends tool to identify the top ten queries most highly correlated with the term 'dengue' in each country, ignoring terms unrelated to dengue. The monthly aggregated search fractions were then downloaded within the time period of interest for each country. The query terms used for each country in this study are presented in Table S1, in the supporting material.

\subsection*{Methods}
We used the multivariate linear regression modeling framework ARGO (AutoRegressive model with GOogle search queries as exogenous variables)\cite{yang2015accurate}, previously used to track flu incidence using flu-related Google searches, to combine information from historical dengue case counts and dengue-related Google search frequencies with the goal of estimating dengue activity one month ahead of the publication of official local health reports. ARGO uses a training set that consists of a two-year moving time window (immediately prior to the month of prediction) and an $L_1$ regularization approach, to identify the best performing parsimonious model \cite{tibshirani1996regression}. This moving window approach allows the model to constantly improve its predictive ability by capturing the changing relationship between internet search behavior and dengue activity.

\subsubsection*{ARGO model formulation}
Let $y_t=\log(c_t + 1)$ be the \textit{log}-transformed dengue case counts $c_t$ at time $t$, and $X_{k,t}$ the \textit{log}-transformed Google search frequency of query term $k$ at time $t$.

Our ARGO model, derived from a hidden Markov model, is given by
\begin{equation}\label{eq:argo}
y_t =  \mu_y + \sum_{j \in J} \alpha_j y_{t-j} + \sum_{k \in K} \beta_k X_{k,t} + \epsilon_t,\quad \epsilon_t \overset{iid}{\sim} \mathcal{N}(0, \sigma^2),
\end{equation}
where $J$ is the set of auto-regressive lags, $K$ is the set of Google query terms, and $\bm X_t$ can be thought of as the exogenous variables to time series $\{y_t\}$ as introduced in \cite{yang2015accurate}.

\subsubsection*{ARGO model parameter estimation}
We take $J = \{1,\ldots,12\}\cup\{24\}$, i.e., $J$ consists of the most recent 12 months and the month exactly two years ago. Such choice of $J$ captures the influence of short and mid-term yearly fluctuations, as well as long-term seasonality previously shown to have strong predictive power in dengue \cite{johansson2016evaluating}. We take $K=10$, corresponding to the top ten dengue-related search terms as described in the data subsection.

We impose $L_1$ regularity for parameter estimation. In a given month, the goal is to find parameters $\mu_y$, $\bm \alpha= \{\alpha_j : j \in J\}$, and $\bm \beta= (\beta_1, ...,\beta_{10})$ that minimize
\begin{equation}\label{eq:ar_exogen_est}
\sum_t\left(y_t - \mu_y - \sum_{j \in J} \alpha_j y_{t-j} - \sum_{k=1}^{10} \beta_k X_{k,t} \right)^2 + \sum_{j\in J}\lambda_{\alpha_j}  |\alpha_j| + \sum_{k=1}^{10}\lambda_{\beta_k}  | \beta_k|
\end{equation}
where $\lambda_{\alpha_j},\lambda_{\beta_k}$ are regularization hyper-parameters.

For a given time window, ARGO automatically selects the most relevant variables to generate an out-of-sample dengue activity estimate. This is achieved by zeroing out regression coefficients of terms that contribute little (or have redundant information) to the prediction. This approach leads to interpretable results by allowing us to clearly identify which variables had a role in the prediction for each month or week of prediction.

All statistical analyses were performed with R, version 3.2.4.

\subsection*{Benchmark models}
For comparison with ARGO, we included prediction results from five alternative methods. These are:
\begin{enumerate}
\item Google Dengue Trends \cite{chan2011using}, which ended in August 2015. Data are obtained from \url{https://www.google.org/flutrends/about/}. Because Google Dengue Trends reported dengue intensity in a scale from 0 to 1, we dynamically rescaled it using a sliding training window to recreate case estimates.
\item Penalized multivariate linear regression model with Google Trends information only \cite{santillana2014can}, denoted as GT. This is essentially ARGO without autoregressive lags, and incorporates a common $L_1$ penalty on the Google Trends data;

\item Seasonal autoregressive model, denoted as SAR, using a time series of the most recent 3 lags, as well as 2 seasonal lags. Specifically, the monthly time series model is comprised of time lags 1,2,3,12,24: $y_t = \alpha_1 y_{t-1} + \alpha_2 y_{t-2} + \alpha_3 y_{t-3} + \alpha_{12} y_{t-12} + \alpha_{24} y_{t-24} + \epsilon_t$, $\epsilon_t\sim\mathcal{N}(0,\sigma^2)$.

\item Seasonal autoregressive model with Google Dengue Trends as exogenous variable, denoted as SAR+GDT. $y_t = \alpha_1 y_{t-1} + \alpha_2 y_{t-2} + \alpha_3 y_{t-3} + \alpha_{12} y_{t-12} + \alpha_{24} y_{t-24} + \beta\log\mathrm{GDT}_t + \epsilon_t$, $\epsilon_t\sim\mathcal{N}(0,\sigma^2)$.

\item Naive method, which simply uses the case count at the previous month as the prediction for the value of the current month.
\end{enumerate}
All benchmark models (except the naive method) were trained by linear regression with sliding two year windows for fair comparison.
\subsection*{Accuracy metrics}
We used five accuracy metrics to compare model performance: root mean squared error (RMSE), mean absolute error (MAE), root mean squared percentage error (RMSPE), mean absolute percentage error (MAPE), and Pearson correlation.

Mathematically, these accuracy metrics of estimator $\hat c$ for target dengue case count $c$ are defined as,
$\mathrm{RMSE}=\left[1/n\sum_{t=1}^n (\hat c_t - c_t)^2\right]^{1/2}$,
$\mathrm{MAE}=1/n\sum_{t=1}^n |\hat c_t - c_t|$,
$\mathrm{RMSPE}=\left\{1/n\sum_{t=1}^n [(\hat c_t - c_t)/c_t]^2\right\}^{1/2}$,
$\mathrm{MAPE}=1/n\sum_{t=1}^n {|\hat c_t - c_t|}/{c_t}$.
\subsection*{Retrospective predictions}
Retrospective out-of-sample estimates of dengue case counts were generated for each country using ARGO and the five benchmark models, assuming we only had access to information available at the time of prediction.
The time windows in which we assessed the performance of our dengue estimates for each country were chosen based on the availability of official and GDT benchmark data.

These time windows are: Brazil from Mar 2006 -- Dec 2012, Mexico from Mar 2006 -- Aug 2015, Thailand from Oct 2010 -- Aug 2015, Singapore from Feb 2008 -- Aug 2015, and Taiwan from Jan 2013 -- Mar 2016.
\section*{Results}

In four of the five countries/regions, Brazil, Mexico, Thailand and Singapore, ARGO outperformed all benchmark models across essentially all accuracy metrics (RMSE, MAE, RMSPE, MAPE, correlation). See Tab. \ref{tab:err}. In particular, by incorporating information from the internet searches and the historical dengue cases, ARGO achieved better results than using either information alone. This accuracy improvement is reflected in the accurate predictions during peaks of dengue activity and bounded estimates during off-season/periods with low levels of infection. See Fig. \ref{fig:prediction}. Unlike the seasonal autoregression with GDT model (SAR+GDT), ARGO avoided the significant overshooting problem that has been previously noted in Google Trends data (\cite{yang2015accurate}, \cite{santillana2014using}). This is especially notable between 2006-2008 and 2012-2014 in Mexico, and 2006-2010 in Brazil.

Taiwan shows notably different results. Of all the available models, the naive and seasonal autoregression models have the best performance, but neither is clearly effective. The naive model has the lowest RMSE and MAE, but the worst RMSPE, MAPE and correlation, while the seasonal model shows the best RMSPE, MAPE and correlation. In comparison, the other models have a much greater RMSE to MAE ratio, indicating worse performance during high prevalence relative to the naive model. ARGO does not outperform the benchmarks in this case.

This result seems to reflect the distinct case count pattern in Taiwan compared to the other countries. Taiwan experienced little to no dengue prevalence for years until two epidemic spikes occurred in 2014 and 2015. In contrast, the other countries experience seasonal fluctuations of dengue over their entire prediction windows. This lack of predictability may be the reason that both seasonal and Google information-based models have greater error than the naive model, significantly over-predicting the 2015 peak for example. Yet overall, these methods show greater correlation than the naive method, perhaps because they are more responsive. Because ARGO over-predicts to a greater extent than the autoregressive methodology, this again reflects previous observations on the tendency of Google data to overshoot.

\begin{table}[ht!]
\centering
\caption{{\bf Comparison of ARGO to benchmark models across countries and evaluation metrics} The bold face value is the best value among all methods according to each performance metric. Google Dengue Trends was not published for Taiwan and therefore the GDT benchmark is not available for Taiwan. The assessment period for the five regions, chosen based on the common available periods for all methods, are: Brazil (Mar 2006 -- Dec 2012), Mexico (Mar 2006 -- Aug 2015), Thailand (Oct 2010 -- Aug 2015), Singapore (Feb 2008 -- Aug 2015), Taiwan (Jan 2013 -- Mar 2016). The error value is relative to the naive, whose absolute error value is reported in the parenthesis.}\label{tab:err}

\begin{tabular}{rlllll}
  \hline
 & RMSE & MAE & RMSPE & MAPE & CORR \\
  \hline
\textbf{Brazil}\hfill\vadjust{} &  &  &  &  &  \\
  ARGO & \textbf{0.394} & \textbf{0.369} & \textbf{0.397} & \textbf{0.389} & \textbf{0.971} \\
  GDT & 0.666 & 0.633 & 0.984 & 0.817 & 0.916 \\
  GT & 0.902 & 0.829 & 0.877 & 0.838 & 0.861 \\
  SAR & 0.660 & 0.563 & 0.664 & 0.583 & 0.917 \\
  SAR+GDT & 0.629 & 0.587 & 0.564 & 0.560 & 0.938 \\
  naive & 1 (30560.436) & 1 (21677.634) & 1 (0.703) & 1 (0.546) & 0.812 \\
   \textbf{Mexico}\hfill\vadjust{} &  &  &  &  &  \\
   ARGO & \textbf{0.680} & \textbf{0.651} & \textbf{0.558} & \textbf{0.678} & \textbf{0.924} \\
   GDT & 0.944 & 0.961 & 1.270 & 1.311 & 0.863 \\
   GT & 0.950 & 0.927 & 1.097 & 1.100 & 0.861 \\
   SAR & 0.790 & 0.737 & 0.776 & 0.815 & 0.911 \\
   SAR+GDT & 1.249 & 0.986 & 0.779 & 0.854 & 0.891 \\
   naive & 1 (3570.105) & 1 (2161.018) & 1 (0.816) & 1 (0.492) & 0.833 \\
    \textbf{Thailand}\hfill\vadjust{} &  &  &  &  &  \\
    ARGO & \textbf{0.715} & \textbf{0.715} & \textbf{0.708} & \textbf{0.706} & \textbf{0.928} \\
    GDT & 0.880 & 0.868 & 1.494 & 1.284 & 0.884 \\
    GT & 1.364 & 1.224 & 1.510 & 1.368 & 0.833 \\
    SAR & 0.774 & 0.836 & 0.906 & 0.898 & 0.917 \\
    SAR+GDT & 1.157 & 0.983 & 0.923 & 0.936 & 0.903 \\
    naive & 1 (2058.891) & 1 (1276.068) & 1 (0.426) & 1 (0.326) & 0.852 \\
     \textbf{Singapore}\hfill\vadjust{} &  &  &  &  &  \\
     ARGO & \textbf{0.893} & \textbf{0.889} & \textbf{0.931} & \textbf{0.917} & \textbf{0.903} \\
     GDT & 1.182 & 1.285 & 1.427 & 1.439 & 0.821 \\
     GT & 1.287 & 1.165 & 1.287 & 1.254 & 0.796 \\
     SAR & 1.153 & 1.104 & 1.166 & 1.087 & 0.847 \\
     SAR+GDT & 2.452 & 1.297 & 1.185 & 1.009 & 0.775 \\
     naive & 1 (329.318) & 1 (202.651) & 1 (0.283) & 1 (0.230) & 0.878 \\
      \textbf{Taiwan}\hfill\vadjust{} &  &  &  &  &  \\
      ARGO & 2.180 & 1.264 & \textbf{0.233} & \textbf{0.359} & 0.834 \\
      GT & 12.211 & 4.904 & 1.069 & 0.898 & 0.724 \\
      SAR & 1.852 & 1.397 & 0.247 & 0.408 & \textbf{0.878} \\
      naive & \textbf{1 (2422.559)} & \textbf{1 (1063.597)} & 1 (3.248) & 1 (1.601) & 0.734 \\
   \hline
\end{tabular}
\end{table}

\begin{figure}[!htbp]
\caption{{\bf Prediction results.}
Monthly dengue case-count predictions are displayed for all studied countries for four different prediction methodologies: ARGO, a seasonal auto-regressive model with and without Google Dengue Trends information (SAR+GDT, and SAR, respectively), and a naive prediction that estimates current month case counts using last month's observed cases. Historical dengue case counts, as reported by local health authorities, are shown for reference (black line), as well as the corresponding prediction errors associated to each methodology when compared to the reference.}
\label{fig:prediction}
\includegraphics[scale=0.75]{dengue_ts_all.pdf}
\end{figure}

\section*{Discussion and conclusion}

Our findings confirm that combining historical dengue incidence information with dengue-related Google search data, in a self-adjusting manner, leads to better near real-time dengue activity estimates than those obtained with previous methodologies that exploit the information separately.

ARGO's uniform out-performance of other benchmark methods for Mexico, Brazil, Thailand, and Singapore demonstrates its robustness and broad applicability. ARGO achieves this by balancing the influence of Internet search data, which quickly change in the face of outbreaks, and auto-regressive information, which tempers the predictions to mitigate the problem of overshooting. The application of an $L_1$ penalty helps identify the query terms most relevant to prediction at any given time, providing easy-to-interpret information. ARGO dynamically trains on a two-year rolling window, allowing model parameters to adjust over time to account for changes in Internet users' behavior.

Our methodology works best in Mexico, Brazil, and Thailand, where a clear seasonal pattern is observed in the disease incidence trends over time. While the seasonality in Singapore is not as clear, ARGO still shows better performance than the alternatives. On the other hand, the results from Taiwan illustrate the limitations of our approach. The time series information does not contain an observable seasonal trend, and the model that uses only Google search terms as input does not reliably track dengue. This may be due to low case counts in Taiwan resulting in low dengue-related Internet search activity. In addition, the unpredictable nature of the outbreaks observed in Taiwan in the past couple of years may contribute to the poor performance of ARGO, and generally of all the methods considered in our comparison.

The quality of Google search data, and thus its ability to predict dengue activity, varies among countries. ARGO shows the strongest improvement over the seasonal autoregressive model in Brazil and Singapore, followed by Mexico and then Thailand. These differences in the effectiveness of Google query data across countries might be explained by the prevalence of the dengue virus, as observed in \cite{gluskin2014evaluation}, or by Internet penetration. The improvement of ARGO over its SAR counterpart is modest in Thailand, which could be potentially explained by lower internet accessibility.

We can intuitively expect that the more people search for dengue-related information during an outbreak, the more likely Google query information will be useful at predicting dengue activity. Although Taiwan has reasonably high internet penetration, the dengue case count is so low that dengue-related searches motivated by other medical or educational purposes may be introducing significant noise in the Google-query data.

The ultimate goal of this effort is to eventually build an accurate, real-time predictive modeling platform or disease barometer, where dengue case estimates are constantly updated to provide authorities and non-governmental organizations with valuable, actionable, close to real-time data on which they can make informed decisions, as well as providing travelers with vital information if they are visiting a high-risk area. This web- and app-based barometer would bring together multiple information sources in one place, including but not limited to traditional epidemiological case reports, Google search data, social media data, crowd-sourced data, climate and transportation data etc., and integrates a rapid response and alert system for users based on their specific location.

The platform would also enable users to verify dengue risk information with their own observations, creating a positive feedback loop that will continuously improve the accuracy of the tool and its predictions. We are currently building such a platform at \url{Healthmap.org/denguetrends}, and through Break Dengue's ``Dengue Track'' initiative \url{www.breakdengue.org/dengue-track/}, a crowd-sourced tool currently in beta that offers a user-friendly online chat system which maps dengue cases worldwide, and gives the public free access to tool-kits that help reduce their risk of infection. The potential impact would be far reaching, as the same model could also be used to track and map countless other infectious and mosquito-borne diseases, like zika, malaria, yellow fever or Chikungunya.

In light of ARGO's strengths and limitations, further efforts on dengue activity estimation may focus on, for example, producing short-term forecasts of dengue activity, in addition to the nowcast presented here (See \cite{santillana2015combining} for such an extension for flu forecasting). Our approach may help produce dengue activity estimates in higher spatial resolutions that can lead to alert systems for people with an increased risk of exposure to the dengue virus at any given point in time. It is important to keep in mind that state-level or city-level spatial scales with low dengue activity may present similar challenges to the applicability of our approach as seen in Taiwan. The incorporation of other Internet-based data sources \cite{santillana2015combining} and cross-country spatial relationships should also be exploited in order to improve the accuracy in predictions.

\newpage
\section*{Supporting Information}

\begin{table}[ht!]
\centering
\caption{\textbf{Query terms used for each country and region}}
\label{tab:query}
\centering
\includegraphics[scale=0.8]{tab1.pdf}

\end{table}

\subsection*{ARGO hyper-parameters for each country and region}
\paragraph*{Mexico}
Since we found the nearest three time lags to have significant predictive effect on future dengue occurrence, we decided not to penalize these three time lags, setting $\lambda_{\alpha_j}=0$, $j = 1,2,3$. We do not have knowledge of the predictive power of the later time lags, so we set a common penalty for all of them $\lambda_{\alpha_j}=\lambda_\alpha$, $j \ge 4$. We applied the same argument to the Google search terms. We further set $\lambda_\alpha= \lambda_\beta$ to reduce the number of hyper parameters, and $\lambda_{\alpha_k}=\lambda_{\beta_k}=0$, $k = 1,2,3$, $\lambda_{\alpha_k}=\lambda_{\beta_k}=\lambda$, $k = 4,\ldots, 10$.
\paragraph*{Brazil}
We found the same pattern for Brazil as for Mexico. Thus, we set $\lambda_{\alpha_k}=\lambda_{\beta_k}=0$, $k = 1,2,3$, $\lambda_{\alpha_k}=\lambda_{\beta_k}=\lambda$, $k = 4,\ldots, 10$.
\paragraph*{Thailand}
The first three time lags for Thailand were significant, but none of the Google terms by itself are significant. This observation inspires us to set the hyper-parameters as $\lambda_{\alpha_j}=0$, $j = 1,2,3$, $\lambda_{\alpha_j}=\lambda$, $j = 4,\ldots,10$, $\lambda_{\beta_k}=\lambda$, $k=1,\ldots, 10$.
\paragraph*{Singapore}
Singapore has similar pattern with Thailand, so we set $\lambda_{\alpha_j}=0$, $j = 1,2,3$, $\lambda_{\alpha_j}=\lambda$, $j = 4,\ldots,10$, $\lambda_{\beta_k}=\lambda$, $k=1,\ldots, 10$.
\paragraph*{Taiwan}
We found that Taiwan data and the Google search terms for Taiwan had similar pattern to that of Singapore, so we set $\lambda_{\alpha_j}=0$, $j = 1,2,3$, $\lambda_{\alpha_j}=\lambda$, $j = 4,\ldots,10$, $\lambda_{\beta_k}=\lambda$, $k=1,\ldots, 10$.

\subsection*{Aggregate from weekly data to monthly data}
We aggregate the Google Trends data from weekly frequency to monthly frequency using summation. If a fraction of week belongs to certain month, the summing value will be the fraction times the value reported for that week.

\subsection*{Robustness to Google Trends variation}
We include a robustness study to identify the effects of the observed variations in the (input) data acquired from the Google Trends website. For this, we downloaded 11 copies of data on different days in November 2016, and repeated the implementation of the methodology described in the main text. Our findings are presented in Table \ref{tab:gt_variation}. The mean of the 11 evaluation metric values is displayed as well as the standard deviation, in parenthesis. GDT has no variation since it is taken as exogenous in this study. If we had access to the raw data GDT is constructed from, we should expect to see similar variations as well. Autoregressive models do not suffer from these variation since they do not use Google Trends data as input. As expected, ARGO, which combines Google Trends data with time series data, suffers less from the variations of the Google Trends data than the model based on Google Trends data only.

\begin{table}[ht]
\centering

\caption{\textbf{Sensitivity to Google Trends variation.} The mean evaluation metric value of the 11 different datasets is displayed in the table, as well as the the standard deviation. All values are absolute.}
\label{tab:gt_variation}
\small
\begin{tabular}{rlllll}
  \hline
 & RMSE & MAE & RMSPE & MAPE & CORR \\
  \hline
\textbf{Brazil}\hfill\vadjust{} &  &  &  &  &  \\
  ARGO & 14602.591(1303.123) & 9043.447(746.341) & 0.329(0.029) & 0.234(0.014) & 0.957(0.008) \\
  GDT & 20349.593(0) & 13725.535(0) & 0.692(0) & 0.446(0) & 0.916(0) \\
  GT & 31606.088(3458.28) & 20243.862(1716.244) & 0.821(0.07) & 0.565(0.043) & 0.815(0.04) \\
  SAR & 20158.471(0) & 12215.217(0) & 0.467(0) & 0.318(0) & 0.917(0) \\
  SAR+GDT & 19220.295(0) & 12732.517(0) & 0.397(0) & 0.306(0) & 0.938(0) \\
  naive & 30560.436(0) & 21677.634(0) & 0.703(0) & 0.546(0) & 0.812(0) \\
   \textbf{Mexico}\hfill\vadjust{} &  &  &  &  &  \\
   ARGO & 2695.046(145.838) & 1532.008(79.432) & 0.516(0.063) & 0.355(0.025) & 0.903(0.011) \\
   GDT & 3370.184(0) & 2076.24(0) & 1.036(0) & 0.645(0) & 0.863(0) \\
   GT & 4628.805(456.821) & 2528.918(208.179) & 1.016(0.13) & 0.616(0.045) & 0.705(0.065) \\
   SAR & 2821.504(0) & 1593.552(0) & 0.633(0) & 0.401(0) & 0.911(0) \\
   SAR+GDT & 4460.343(0) & 2131.342(0) & 0.635(0) & 0.42(0) & 0.891(0) \\
   naive & 3570.105(0) & 2161.018(0) & 0.816(0) & 0.492(0) & 0.833(0) \\
    \textbf{Thailand}\hfill\vadjust{} &  &  &  &  &  \\
    ARGO & 1543.473(129.498) & 911.561(43.288) & 0.303(0.014) & 0.23(0.008) & 0.925(0.011) \\
    GDT & 1811.26(0) & 1107.728(0) & 0.636(0) & 0.419(0) & 0.884(0) \\
    GT & 2590.984(499.302) & 1582.48(134.678) & 0.687(0.068) & 0.495(0.04) & 0.82(0.05) \\
    SAR & 1592.675(0) & 1066.51(0) & 0.386(0) & 0.293(0) & 0.917(0) \\
    SAR+GDT & 2381.833(0) & 1253.851(0) & 0.393(0) & 0.305(0) & 0.903(0) \\
    naive & 2058.891(0) & 1276.068(0) & 0.426(0) & 0.326(0) & 0.852(0) \\
     \textbf{Singapore}\hfill\vadjust{} &  &  &  &  &  \\
     ARGO & 309.492(24.395) & 185.639(7.578) & 0.282(0.011) & 0.22(0.005) & 0.895(0.014) \\
     GDT & 389.389(0) & 260.421(0) & 0.404(0) & 0.331(0) & 0.821(0) \\
     GT & 362.286(30.443) & 246.596(13.725) & 0.398(0.019) & 0.323(0.017) & 0.866(0.031) \\
     SAR & 379.794(0) & 223.633(0) & 0.33(0) & 0.25(0) & 0.847(0) \\
     SAR+GDT & 807.414(0) & 262.783(0) & 0.336(0) & 0.232(0) & 0.775(0) \\
     naive & 329.318(0) & 202.651(0) & 0.283(0) & 0.23(0) & 0.878(0) \\
      \textbf{Taiwan}\hfill\vadjust{} &  &  &  &  &  \\
      ARGO & 2919.016(1284.247) & 989.77(258.632) & 0.846(0.154) & 0.628(0.062) & 0.873(0.026) \\
      GT & 5031.846(7248.156) & 1336.656(1157.202) & 4.092(1.126) & 1.655(0.272) & 0.848(0.062) \\
      SAR & 4487.372(0) & 1485.911(0) & 0.801(0) & 0.653(0) & 0.878(0) \\
      naive & 2422.559(0) & 1063.597(0) & 3.248(0) & 1.601(0) & 0.734(0) \\
   \hline
\end{tabular}
\end{table}

\clearpage
\section*{Acknowledgments}

redpajama_set_name: RedPajamaArXiv


text:
Q: How to configure Kotlin Androidx dependencies for unit testing as well as succesfully writing the unit test Up and running with android, and at the same time trying to understand what I am doing.
I have tried all sorts, read as much resources as I can related to unit testing android. One way or another I still come short and error after error when I run the unit tests.
Instrumented testing was straight forward and I actually managed to satisfactory getting it working.
Now onto unit test and I have gotten tired of changing one dependency to another because one is not compatible with the version of android. Finding these dependencies is a bit of sweat, I have relied more on this forum than the docs to figure out how to piece things together.
Here is my dependency configuration:

Here is my MainActivity class

And here is my test class set up against the activity. It is fairly simple for practical purposes:

I get this error now, after resolving a bunch of other errors:

I am basically spending an awful lot of time on configuration than doing what I need to do - write the unit test.
How can I go about successfully configuring the dependencies to enable me to write a successful unit test. If my tests are also wrong, how can I correctly change them?

redpajama_set_name: RedPajamaStackExchange


text:
Q: Prevent git from writing empty merge commits Accustomed to SVN, I always do an 'update' before sharing any changes, so before making any pushes I always pull first.
It's annoying when I pull (even though there weren't any changes to the remote) and see a commit for a merge with 0 changed files with 0 additions and 0 deletions.  Commits like:
https://github.com/UCF/Harvard-Mobile-Web/commit/be9d6b2d1ab196554e080d8b8647a9d16c8a5ddf
I find this to be useless noise when looking at the commit history.
Maybe there's something I'm missing, is there any point to this commit?  If not, is there any way to prevent git from writing empty merge commits?

A: There are several options, all coming down to the same thing : making git use the --rebase option (as mentioned by @cdhowie).
You will probably find that you prefer one of those:
Option 1: Explicitly use git pull --rebase every time.
Option 2: for each project, modify the .git/config file by adding
[branch "master"]
 remote = origin
 merge = refs/heads/master
 rebase = true

Option 3: in your personal ~/.gitconfig
[branch]
  autosetuprebase = always

Personally I like option 3, since it allows me not to enforce anything on other developers, while still not having to type --rebase every time.
Also see How to make Git pull use rebase by default for all my repositories?

A: The very definition of git pull is essentially "fetch and merge with the new remote HEAD for my current branch."  If you want to rebase instead, just git pull --rebase.  This modifies pull to rebase your commits on top of the new remote HEAD.
Personally, I like to git fetch (download new objects from the remote, but do not update any local branches) and inspect the situation, then decide myself whether to merge or rebase.


The previous month, it was reported that Mahindra TUV300 will get a facelifted version in 2019. Now, it is confirmed that the company is working on the new version of TUV300 which is expected to be released next year. After recording a surprising decrease in the sales of TUV300, it was essential for the company to update the model with the latest technologies to stay in the automotive market.
The model was introduced three years back and since then, it has not been updated. Although, it has now become difficult to compete against the current rivals in the SUV range in the Indian market. In the previous year, the company managed to sell only 2,000 unit/ month of the SUV so, they also released a nine-seat TUV300 Plus in the market which didn't score a remarkable sales increase.
Mahindra has been spied testing the next-gen TUV300 on Chennai roads in a bold and strong appearance. The spy shot reveals that the car gets latest spare wheel housing, all-new alloy wheels, and X-shaped wheel case. The company has updated the build quality of the SUV which is now strong and robust that is developed as per the latest crash test standards which will come into impact from October 2019.
In the front, the SUV is equipped with a new grille and bumper with chrome detailing. The new model will be taller with extended pillars. It is outfitted with rectangular headlamps highlighting new LEDs and boxy fog lamps. In terms of safety features, the vehicle can include dual front airbags, ABS with EBD, reverse parking sensors, seat belt reminder, speed sensing door lock and speed alert warning system as standard.
The cabin is more spacious and gets a twin-shade combination of beige and black. The top spec variant might come with a touchscreen infotainment system which supports Apple CarPlay and Android Auto connectivity. Moreover, it can include the basic features like cruise control, panoramic sunroof, electrically adjustable ORVMs, standard glovebox, IRVM, and rear AC vents.
The ongoing Mahindra TUV300 draws power from a 1.5-litre mHawk100 four-cylinder turbocharged diesel engine which makes 100 bhp of max power and 240 Nm of peak torque. The engine is combined with a 5-speed manual transmission and a 5-speed AMT on offer. The facelifted version of the SUV will be introduced with somewhat higher figures, but the company has not yet confirmed the report. It is expected to get a price tag of Rs. 8.34 lakh for the standard variant and Rs. 11 lakh for top specs variant.


Battle Brush Studios: Showcase: Super Dungeon Explore Group Shots!
Over the past few weeks I posted several updates on this big project I did late last year. Here are the final group shots. It was really a lot of work, but these two pictures alone make up for a lot of swearing during the process.
Looking at these the phrase 'THANK YOU FOR PLAYING' comes to mind.
Awesome stuff buddy. I love how crisp they are.


text:
Q: PhpStorm - navigation back keyboard shortcut not working When I Ctrl + click on method it will jump to declaration of that method.
Question: How to jump back to usage of that method?
I tried Ctrl + Alt + Left combination but nothing happen (not working).
When I click Navigation > Back it worked.

https://www.jetbrains.com/phpstorm/help/navigation-in-source-code.html

Back
  [Ctrl]+[Alt]+[Left]
  Undo last navigation operation.
  On a OS X computer, you can also use the three-finger right-to-left swipe gesture.

A: Following is a screenshot on ubuntu. Switch to workspace Left/Right need to be edited to use that shortcut on PhpStorm

A: Because of  Ctrl + Alt + Left   Keyboard Shortcuts is already set for another program.In my ubuntu this shortcut is for change worspace
You need to set your custom shortcut from Settings / Appearance & Behavior / Keymap /
And search navigate then change your back command

A: On windows CTRL + ALT + [direction] will rotate display (if video card supports it). You have to change this shortcut to something else (mine is CTRL + SHIFT + [direction]).
Settings / Appearence & Behavior / Keymap / Main menu / Navigate / Left


This article will discuss the registration process for our new password website. It also provides a screenshot of what users will see if they fail to register prior to visiting our password change website. Expired password users will not be able to register their security questions. USS will need to reset the password for the user.
1, Open a web browser and log in to https://mail.queens.edu. You will be automatically prompted to register for the new password reset site. Please complete that process by entering your cell phone number and personal (non-queens) email address.


text:
package io.fabric8.agent.repository;

import java.util.Map;

import io.fabric8.agent.resolver.ResourceBuilder;
import org.osgi.resource.Resource;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 */
public class MetadataRepository extends BaseRepository {

    private static final Logger LOGGER = LoggerFactory.getLogger(MetadataRepository.class);

    public MetadataRepository(MetadataProvider provider) {
        Map<String, Map<String, String>> metadatas = provider.getMetadatas();
        for (Map.Entry<String, Map<String, String>> metadata : metadatas.entrySet()) {
            try {
                Resource resource = ResourceBuilder.build(metadata.getKey(), metadata.getValue());
                addResource(resource);
            } catch (Exception e) {
                LOGGER.info("Unable to build resource for " + metadata.getKey(), e);
            }
        }
    }
}

redpajama_set_name: RedPajamaGithub


text:
Der ca.  hoch gelegene Flughafen Lucknow ( oder Chaudhary Charan Singh Airport) ist ein zivil genutzter Flughafen im nordindischen Bundesstaat Uttar Pradesh.

Lage
Der Flughafen Lucknow liegt im Norden der Gangesebene ca. 15 km (Fahrtstrecke) südwestlich der Stadt Lucknow (oder Lakhnau).

Geschichte
Der Bau des Flughafens erfolgte im Jahr 1986, doch wurde er anfangs nur für offizielle und repräsentative Zwecke genutzt. Seit dem Jahr 1996 ist er als Zivilflughafen ausgewiesen und seit dem Jahr 2012 hat er einen internationalen Status.

Verbindungen
Mehrere nationale Verbindungen bedienen die Städte Delhi, Mumbai, Bangalore, Kolkata sowie zahlreiche weitere Destinationen. Internationale Flüge verbinden die Region um Lucknow mit den Anrainerstaaten des Persischen Golfs, wo viele Inder als Gastarbeiter tätig sind.

Sonstiges
 Betreiber des Flughafens ist die Adani Group.
 Es gibt eine Start- und Landebahn mit ca. 2745 m Länge.

Siehe auch
 Liste der Flughäfen in Indien

Weblinks

 Lucknow Airport – Fotos + Kurzinfos

Einzelnachweise

Luck
Luck
Verkehrsbauwerk in Uttar Pradesh
Distrikt Lucknow
Erbaut in den 1980er Jahren

redpajama_set_name: RedPajamaWikipedia


Apply now as an Alberta Mentoring Partnership partner by clicking here. You can also learn more about current members of the partnership, click here.
Providing advice and consultation on a variety of topics for both current and new mentoring programs; including screening, recruitment, training; matching and general advice on mentoring programs.
To find out how we can help please visit our Contact Us page.
Remember! To be a mentor, you don't need superhuman qualities, just human ones.


Floating point single precision measurements. This class mirrors the standard measurement events is CLASS1.MEASUREMENT=10. The measurement unit is always the standard unit.
The value is a "float" - IEEE-754, 32 Bits, single precision.
That is a total of 32-bits. The most significant byte is stored in byte 0.


BREAKFAST WITH SANTA! GET TICKETS NOW BEFORE THEY SELL OUT!
This event takes place on December 8th from 9-11 AM at St. Mary Church in the Fr. Vincent Lewis Center. Your $5 ticket gets you a tasty hot breakfast, fun activities and kids receive a great toy!
This is a youth ministry sponsored event where the proceeds help defray some of the costs to get our students to the Washington, DC "Walk For Life" in January. Of course, if you do not attend Breakfast With Santa, your donations toward this very worth cause will be gladly accepted. Thanks for your support!
If you have any questions, please contact PJ Ehling, CRE/Youth Minister at (513) 284-3154.


text:
Home | About Clayesmore School | Chapel & Chaplaincy
Clayesmore Chapel
"I want to say a word about Religion. Life is an overcoming and a giving out. It is not only a taking of what we can get. And it is not only a giving in work and deeds; it is the giving of ourselves, freely and in comradeship." Lex Devine 1925
The life of the chapel was always important to Lex Devine, the founder of Clayesmore. He wasn't particularly interested in theology or in the differences between the various Christian denominations, which he confessed to finding 'mystifying'. For Lex, the life of the chapel and the worship that takes place there should always be a sign that religion means 'standing together and helping one another in time of trouble.'
While I am more interested in theology than Lex was, I do share his commitment to the life of the chapel as being concerned primarily with the people who are part of this wonderful community.
Clayesmore is a busy place in which to live and work. We encourage busy-ness in the hope that pupils here will work with lots of different people, make new friends, discover new talents, develop the capacity to 'give things a go', and learn to treat setbacks as being a necessary part of their growth. The chapel exists to help pupils and staff to flourish at school, and in their future lives. But I hope also that it stands as a visible reminder that who we are, our hearts and our character, is of more importance than anything we achieve or win.
The chapel is here to support all members of the school community – pupils, staff and parents. It is here to support those with Christian commitments and those without. Those of different faiths and those of none. Those with questions to ask and those who feel they have all the answers. Those who want to discuss the finer points of theological disputes and those who just want a cup of hot chocolate. Those who want some advice and those who just need someone to listen. Those who love a good chapel service and those who can't see the point.
You are all welcome.
With every blessing,
Andrew West, Chaplain
Stop:Start
An early morning service
Plamenatz Philosophical Society

redpajama_set_name: RedPajamaCommonCrawl


During this recital, the Latvian violinist Gidon Kremer creates a bridge between the past and the present. He opens with the Chaconne that closes Bach's Partita for Violin No. 2. This is followed by Luigi Nono's La Lontananza nostalgica futura, for violin and eight audio tapes, as a tribute to the post-war avant-garde music. The recital is drawn to a close with 24 Preludes for Cello by Mieczyslaw Weinberg, who remains largely unknown, despite being one of the leading 20th century Russian composers. Kremer has transcribed parts of the work for his own instrument under the title Preludes to a Lost Time. Kremer has combined these highly expressive preludes with a selection of nostalgic and utopian negatives by the Lithuanian photographer Antanas Sutkus, creating a deeply moving audiovisual work.
The great Latvian violinist Gidon Kremer introduces us to the music of Russian composer Mieczysław Weinberg, and explains why his new project includes old Soviet photographs.


Wheelchairs and high heels better mobility on stamped concrete walkways.
Construction around Moody Learning Center was completed this month, Dr. Stella Lovato, vice president of student services, said in an interview April 5.
Work that has been completed includes replacing brick walkways with stamped concrete, adding a ramp to the first floor on the east side, adding a covered canopy leading toward the entrance and work under the building.
Although the stamped concrete around Moody is complete, the rest of the campus is soon to follow as the changing from brick to stamped concrete is part of a campuswide project, Janae Johnson, coordinator of risk management, wrote in an email after an in-person interview.
Work most recently completed includes masonry on steps located on the west side of the building as well as landscaping, Johnson wrote.
With the project completed, Lovato said improvements on campus are an ongoing project and touch-ups are being added to the finished construction.
The construction around the building was part of a single construction package and was done in response to making the campus more compliant with the Americans with Disabilities Act, Vanessa Torres, director of public relations, said in an interview Feb. 17.
The company in change of construction was Crownhill Construction and the cost of this project was $1,962,000.
Business management sophomore Adam Sturgill, who uses a wheelchair, said that when the construction was just getting started, he had a difficult time getting to the VIA bus transit, known as VIAtrans, on the east side of Moody.
This is his main source of transportation to this campus.
Before some of the construction was finished, Sturgill said in an interview on March 8 he had to go around Moody Learning Center entirely and get to the transit through Fletcher Administration Center.
With the construction nearing completion, he has an easier time getting to the bus.
Sturgill also said that the stamped concrete walkways are much smoother and easy to maneuver on than the old brick ones.
Getting down to the disability support services office of the first floor of Moody has been made easier by the construction of a ramp, which helped to alleviate some complaints from students about accessibility in Moody.
Lovato, one of the main overseers of this project, also found benefits to the stamped concrete, even for students without disabilities.
"As a female wearing heels, I will tell you that our heels don't get stuck anymore," Lovato said in an interview Feb. 17.


Great White Shatter is a Sativa-dominant hybrid strain, that provides a number of cerebral effects. A good daytime medication that may help with focus, motivation and creativity. Also used as a stimulant or energy boost.


My partner Steve and I recently booked to go to the Yoga Supper Club in Haggerston, London, through Funzing.com.
Funzing is a very cool and innovative way of booking different experiences, whether you wish to go alone or in a group. They have a variety of classes and experiences to choose from, including graffiti art work shop, tour of the Brick Lane and several curry houses, learning to make pizza or sushi, becoming an antiques hunter etc… The list is endless.
The venue was a fantastic studio lit by several candles to set the right scene for a brilliant yoga workout. It was a short walk from the overground station and easily accessible by several bus routes. It was our first time at a yoga class and we were warmly welcomed by Kelly-Marie, a qualified yoga instructor, and the rest of the participants. The participants were a mix of newbies and people who had been practising Yoga some time. Kelly-Marie organises Yoga Supper Club events at several different locations and we found that a lot of people had travelled from South London specially to attend her event at Haggerston that evening.
Kelly-Marie also had an assistant on-site for a relatively small class of 12 people, which was really useful. She takes a very keen interest in making sure that you get the most out of your class, regardless of your level and physical ability. Following a great work out, we were taken to a restaurant next door (Jones at Trip) where they had set up a table for us. We were greeted with a glass of prosecco and it was a great opportunity to socialise with other participants as well as Kelly-Marie herself. The food that followed was a feast to say the least. We had several different starters, mains and sides including king prawn cocktail, smashed avocado, chilli lime and sweet potato crisps, pan fried polenta, risotto, sea trout fillet and seared steak salad to share. When we thought we couldn't possibly eat anymore, we were presented with irresistible looking baked peaches and Eton mess for desserts. Kelly-Marie also gave us a personally prepared goody bag full of healthy treats just before we left.
We came away from the experience feeling healthy, happy and full. I would wholeheartedly recommend Kelly-Marie's Yoga workshop to any Yoga enthusiasts and I would most certainly be looking to book another experience/activity through Funzing.
For other Yoga Supper Club events click here or visit www.funzing.com.


text:
Female Empowerment: A Force to be Reckoned With, Everywhere
October 18, 2018 October 18, 2018 Lindsey Miller Blog Posts
Guest post by Olivia McAuliffe, T'21 | DukeEngage Cape Town 2018
Wathint' abafazi, wathint' imbokodo.
This saying, meaning 'you strike the woman, you strike the rock,' was popularized in South Africa during the Women's March of 1956 and it stands true today.
I was fortunate enough to work under and walk alongside women who truly embody this adage during my time in Cape Town this past summer with DukeEngage. I interned at Sonke Gender Justice, a non-government organization that seeks to achieve gender equality, raise awareness about and mitigate the transmission of HIV and the effects of AIDS, and end gender-based violence through the collaboration of government entities, societal institutions, and South African citizens. There, I worked with women who cultivate resilience through each bout with sexual harassment or gender based discrimination and iterate resistance in every step they take and every ceiling they shatter.
Fredalene Booysen, the Community Education and Mobilization (CEM) Unit Manager and my supervisor at Sonke, epitomizes the notion of trial by fire. She came of age during the anti-apartheid movement, dodging rubber bullets and standing off against an oppressive government regime at the same point in life when I was acclimating to drinking coffee and living away from home for the first time. She has devoted her life to battling systemic inequality, and has the steely resolve to prove it.
Precilia Chuloi, a trainer with the Refugee Health and Rights Project within the CEM unit, was born in Cameroon and has lived in South Africa since 2004. Precilia began every week of work with a warm smile and a tight hug. She welcomed me into the Sonke community with open arms, and made it that much more difficult to leave at the close of the summer.
Freds and Precilia will never know just how much they taught me and shaped the trajectory of my life. What I value most from my Sonke experience was not learning how to effectively compile HIV testing data nor was it succinctly summarizing a staff meeting.
The moments that pushed me to grow most as an individual, as a woman, and as a feminist were those spent out of the office, beyond the cosmopolitan city limits, in the heart of South Africa.
Sonke-organized march in Gugulethu.
It was marching with Freds and Precilia through the streets of Cape Town, demanding a national strategic plan to end gender based violence as part of the Total Shutdown, an intersectional women's march to the Parliament building in the center of the city. It was seeing Freds lead a crowd of community action members into a bustling neighborhood to distribute free condoms. It was watching Precilia connect with schoolgirls and ease them into mature yet incredibly important discussion topics like gender stereotypes, gender-based violence, and consent. Finally, and most importantly, it is knowing that both of these incredible women continue to wage the war against gender inequality every day both through their work and in raising their daughters to be strong and fearless just as they are.
An organization is only as strong as those who comprise it and what they can compel others to do. Fredalene and Precilia are two of the most resilient, awe-inspiring women I have ever met. Because of my time with them, I can feel the spark of the unbreakable female spirit ignited within me. Whether they know it or not, they push me to strive always for righteousness and stand for nothing short of justice.
Group photo of female DukeEngage Cape Town participants in Soweto.
I carried these values with me last week when I pounded on the doors of the Supreme Court in our nation's capital, demanding that the highest court in the United States protect the rights of women and echoing the calls for justice that we shouted through the streets of Cape Town mere months ago. I carry these values with me every day on campus at Duke, where I stand up for what I believe in even if it means correcting a friend or disagreeing with a classmate. I will continue to carry these values with me as I move forward in my Duke career and beyond the comfort of my college bubble, forever fighting to fuel the flame of female empowerment.
Shaping Multilingual Global Citizens
Rethinking Accomplishment


"I am looking forward to working with Adel. He has the right spirit and attitude paired with a profound knowledge for the job. Adel has a proven record of turning businesses around. He will start to become acquainted with T-Systems right away and will use the phase until the end of the year to bring himself up to speed," said Timotheus Hoettges, CEO of Deutsche Telekom.
"I am excited about joining the Deutsche Telekom team. I look forward to working with T-Systems colleagues to drive our success in the market place," Al-Saleh said.
Until recently Al-Saleh was CEO of Northgate Information Solutions (NIS) Group that he joined in December 2011, responsible for growing one of the leading global providers of software solutions and technology services across the Northgate group of companies (NGA Human Resources, Northgate Public Services, and Northgate Managed Services).
In 2016 Al-Saleh led a successful restructure of NGA's debt structure, resulting in Goldman Sachs becoming the primary shareholder of the company. Prior to joining Northgate, he held various senior positions at IMS Health (market leader in healthcare informatics) and spent the first 19 years at IBM, holding a variety of senior leadership roles.
His last role at IBM was vice president and general manager, Sales and Industries, IBM Northeast Europe Integrated Operating Team, responsible for IBM sales across all industries and products. Adel Al-Saleh graduated from Boston University in 1987, he earned a Bachelor of Science degree in Electrical Engineering and received his Masters of Business and Administration from Florida Atlantic University in 1990.


ISLAMABAD: Federal Government has announced 23 March, also called Pakistan Day, as public holiday.
Preparations for Pakistan Day Parade are at full swing. Troops and bands of People's Liberation Army China Tri-Services, Turkish Janissary Military Band and Saudi Special Force's will also participate in the parade to show their performance and love for Pakistan. Earlier ISPR has confirmed that all sections of Pakistan Army will take part in the event. President Mamnoon Hussain and Prime Minister Nawaz Sharif will also observe the Pakistan Day Parade.


FlyaboveLPN has 7 years experience and works as a LPN.
Does BRCC still mail out acceptance letters in June??? I'm eager to know!! If so, I have a long wait!
First week of June after final grades from spring semester have been submitted, since many applicants are finishing up the last of their pre-reqs. I'm anxiously awaiting for June to arrive.
I agree, I'd never apply with the bare minimum, it's definitely best to get the co-reqs completed by the time you start the program. All I have left is A&P 2 over the summer and all my co-reqs will be complete. I definitely did not want to juggle any co-reqs and nursing classes together, talk about a nightmare.
Moved to the Louisiana State Nursing Programs forum.
I hope I get in the program! I wasn't too happy about my Hesi scores, but I do have all A's & 1 B in my pre-reqs, and I took all classes at BRCC.
pbadger works as a Student.
Now that finals are over I don't have anything to keep me occupied and I've become very impatient waiting for my letter! Although, I had heard they are mailed out the second week of June. I hope it is the first week though, I don't think by then I'd be able to wait any longer!
I agree!! I already had all the required pre-reqs needed to apply. I was taking A&P II this semester, because I didnt want to take it while in nursing school! Hopefully, I get in..... I did email the Dean & she said they will try to have letters mailed out by the 1st week in June!!
Awesome! Thanks for the heads up and good luck! I'm taking A&PII over the summer. Not looking forward to it being 3 hrs 4 days a week but I want to get it out of the way.
Hi! I applied to the program as well, and I'm soooooo anxious to know ! I heard the letters would arrive first week of June. I'm also taking the A&P II this summer. We are in the same class.....since they are only offering one! GOod luck.
Yeah I took her this Spring. She's a vet. She is not a bad teacher. Sometimes, I felt she rushed a bit because she was out so many days this semester. Do all Mastering A&P homework quizzes. She will give you credit even if you get them wrong. I came out of there with a "C" & I wasn't really focused this semester! Good Luck!
Okay..... So.... I've already herd nursing letters go out the 1st week in June! I wonder if letters go out at the beginning or end of the week??? It's been a long wait....... I'm anxious & nervous!! One more question.. If I get a denial letter will they tell me why & what number I am on the list?


text:
Amblyseius abbasovae is a species of mite in the family Phytoseiidae.

References

abbasovae
Articles created by Qbugbot
Animals described in 1971


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My HP laptop with 160GB harddrive was getting full and I wanted to upgrade it to a bigger one. Found that 2.5″ 500GB was relatively cheap so I bought one and detailed the procedure of upgrading with all data intact. I bought a 2.5″ USB-SATA chassis as well for the old drive to sit in. As I hit a few snags when doing this I thought it could be useful for others to read about.


text:
Q: Format a string to have n spaces only between words in python I am working with strings that have different number of spaces between the non-whitespace characters. The problem is that this strings form a category, and they have to be equal. I would like to format them to have exactly the same number of spaces between the non-whitespace characters, f.e. 1, but this could be generalised to insert more spaces if possible. And there should be no spaces at the beginning and end.
Examples with n=1:
'a  b    b' => 'a b c'
'  a b   c  ' => 'a b c'

A: Simply split it and join the resulting list by space(es)
>>> " ".join('a  b    b'.split())
'a b c'
>>> "  ".join('  a b   c  '.split())
'a  b  c'

From str.split(sep) docs:

If sep is not specified or is None, a different splitting algorithm is
  applied: runs of consecutive whitespace are regarded as a single
  separator, and the result will contain no empty strings at the start
  or end if the string has leading or trailing whitespace.

A: The easiest way to do this would be with split and join.
>>> (' '*n).join(s.split())

Note : The ' '*n is just for convenience in case of the need to join with many whitespaces in between.
#driver values :
IN : s = 'a  b    b'
     n = 1
OUT : 'a b b'

IN : s = '  a b   c  '
     n = 2
OUT : 'a  b  c'

A: Try this.
def spaces_btw_characters(word, spaces):
    return (' '*spaces).join(word.split())

A: We yourstring.strip() for string to finish spaces from start and end. You can use join() on your string to format string according to your need. Hope this helps you.


text:
@implementation PJCarListModel

-(void)setValue:(id)value forUndefinedKey:(NSString *)key
{

}

-(NSString *)description{
    return [NSString stringWithFormat:@"shopId:%@ shopName:%@",self.shopId,self.shopName];
}

@end


Left Bank Books welcomes Midwest author Maren Cooper, who will sign and discuss her new novel, "A Better Next"!
This event is free and open to the public, but proof of purchase of "A Better Next" from Left Bank Books will be required to enter the signing line.
A smart, relatable story for every woman who's gone bold to sort out her next chapter, "A Better Next" shows how—with a little soul searching and a supportive circle of friends and colleagues—it's possible to redefine happiness and establish a liberating, new normal at any stage of life.


Joe Hodges is the Regional President of SSM Health Oklahoma, the parent company of the St. Anthony Hospitals. Joe's journey into service began long before he joined St. Anthony Hospital in Oklahoma City in 1992. In fact, his journey began in the small rural Oklahoma panhandle town of Forgan. As the son of a third-generation rancher and a first-grade teacher, his parents instilled in him the importance of education and hard work.
A graduate student at the University of Oklahoma Health Sciences Center, he joined St. Anthony as a part-time employee in the hospital's business office. From the business office he moved into managed care before becoming network director of hospital contracting, then executive director of oncology and administrative services and eventually vice president of operations. In 2003, he was named executive vice president and chief operating officer. And 13 years to the month that he began at St. Anthony, Hodges was named the hospital's president and served in that role until his appointment as regional president in 2012. Under Hodges leadership, he has expanded health services which are now comprised of four hospitals, a medical group, a foundation, four outpatient healthplexes and 17 rural hospital affiliates.
Hodges serves on the board of numerous civic organizations including: President of the Oklahoma City Civic Center Foundation, Oklahoma Blood Institute, Emergency Medical Services Authority, Allied Arts, OKC Chamber of Commerce, Shartel Boulevard Development Authority and YMCA of Oklahoma City. Previously he has served on the boards of Leadership OKC, Oklahoma City Arts Council and the Oklahoma National Memorial. He has been a member of the Oklahoma City Downtown Rotary since 2007 and he is a member of the American College of Healthcare Executives.
Hodges earned a bachelor's degree in business administration from Oklahoma State University and a master's in health-care administration from the University of Oklahoma Health Sciences Center. He has two daughters.
Sherry Rice Rhodes, Vice President, Development of St. Anthony Foundation, holds a MBA degree and has undergraduate degrees in both Business Management and Theatre Arts Management. Sherry has been engaged in nonprofit management and fundraising for more than 20 years and is a Certified Fund Raising Executive (CFRE).


Busy is the new cool. Somewhere along the line, it became a badge of honor to have as many responsibilities as possible. Everywhere around you, there are stories of startup CEOs waking up at 4AM, having 80-hour work weeks, glorifying their struggle to succeed.
However, for those of us in the real world, the burden of too many responsibilities can result in sleepless nights, a lot of stress and generally being unhappy with your life. If you feel like you're rushing from one responsibility to the next, we have some advice to help you cut down on work and enjoy more of your life.
If you feel overburdened, sometimes it's not a case of doing too many tasks. Rather, it's a case of spending too much of your time on the wrong tasks. I'm sure it's happened to you that you spend half of your day replying to emails only to be left without time for business development tasks as the end of your workday approaches.
To get around this, put down a list of your tasks and sort them according to priority – things that must be done, medium priority and optional. Once you have everything on paper, you'll most likely realize that the least important tasks take up the majority of your time. This is when you need to refocus and ditch the unimportant in favor for the important.
PS. You can sort your priority lists in your project management tool of choice, such as Trello.
One of the wonders of modern technology is that many tasks can be automated, so you don't waste time on them yourself. Something as simple as going to Google Calendar and making an entry for a meeting can take just a few minutes, but it can be turned into seconds with a tool such as Calendly. Imagine how much of your time can be saved every year by automating tedious tasks such as this one.
For example, for one of the Facebook pages I run, I simply sit down and create all of my posts at once and then schedule them for the weeks ahead. You can do even more by using tools such as MeetEdgar to schedule posts on several social media platforms at once.
Finally, there are excellent tools such as IFTT and Zapier. If you've ever wanted to automate something, there's a big chance one of these can make it happen. For example, you can set up Zapier so that your new subscribers are added to a specific mailing list, then added to a pre-determined Google sheet and then a new Trello card created with the subscribers' email and name. With a little bit of tinkering, you can automate anything you can think of.
Sometimes, the best cure for having too many responsibilities is to take something off your plate and put it on someone else's. While it can be incredibly difficult to let go of a task that you feel is important, the amount of free time you can gain from delegation can be quite impressive.
Founders and CEOs often have an issue with delegation because they get stuck in an infinite loop. First, they think they're the only ones who can take care of a task and no one else can handle it. Second, even if they did find someone to delegate it to, the amount of time spent to teach this task would be too much for it to make sense.
In fact, delegation can free up significant portions of your time. You can simply offload some of your responsibilities to your colleagues if they have the time. Alternatively, you can outsource the task to someone, such as an intern or a fresh college graduate.
One thing that's become quite popular lately is hiring virtual assistants. These workers can help you out with more repetitive, administrative tasks such as responding to emails, booking meetings, entering data and much more. If it can be taught, a virtual assistant can do it for you.
You've probably been there. Your boss comes up and assigns the daily/weekly/quarterly tasks and you happily oblige to take on another task in your already busy schedule. You know you probably can't handle it and that something will have to suffer, either in poor quality of work or missed deadlines. However, you decide to go ahead and take it on.
Instead of taking on another task you probably can't handle, ask your boss/manager to decide on the priority. If they want this task done, something has to be dropped or moved to the bottom of the priority list.
In this way, you'll be able to protect yourself if you can't accomplish everything and you'll know the most important task that needs to be done at any given time. However, in order for this approach to work, you need to be on top of your current assignments and you need to have a clear idea on how much time your tasks usually take.
Even the best of us need some downtime to relax and unwind. When you're at work and things don't seem to be going too well, you may be tempted to push harder to get the job done, when in fact, you just need to take some rest and refresh yourself before moving forward.
After a certain time period, you may seem busy but you'll stop being productive as you'll lose your focus. If you catch yourself skipping lunch or staying overtime just to get on top of your tasks, it's time to rethink your approach to work.
You can take breaks every hour or so, at least 5 minutes in length. You'll find out that by forcing yourself to take regular breaks, you'll actually become more productive. If you really want to control your schedule, you can try out the Pomodoro technique. It implies that for every 25 minutes of focused work, you get to take a 5-minute break. There are many Pomodoro timers out there you can try out, such as Toggl or PomoDone.
If you can't squeeze all your obligations into an 8-hour workday, you'll probably end up working overtime. You'll probably see it as being diligent and dedicated to your work. In reality, your manager will probably think that the reason you're staying after hours is that you can't manage your time.
In fact, even a 40-hour work week is too much. We're wired to think that 40 hours weekly and 8 hours per day is how much we should work, but this tradition is almost 200 years old. Thanks to different lifestyles, the automation of work processes and the fact that more women are in the workforce than at the time when this rule was created, the situation should be very much different. In reality, our work weeks should be at least couple of hours shorter, similar to what Sweden has been trying out with the six-hour workday.
Although being busy is good, it should not be praised and worn as a badge of honor. By cutting down on your responsibilities, you'll be more productive and happier and your employers will be more satisfied with your performance. Remember – work smarter, not harder.


text:
Rhodesia alboviridata is een vlinder uit de familie spanners (Geometridae). De wetenschappelijke naam van deze soort is voor het eerst geldig gepubliceerd in 1880 door Saalmüller.

De soort komt voor in tropisch Afrika.

alboviridata
Dier uit het Afrotropisch gebied


text:
EVERYDAY & TRAVEL
ROCK, ICE & SNOW
AKU FOOTWEAR
Stories & Adventures
ELICA Stride System
AIR 8000
Vibram Traction Lug
Vibram Soles
Dual Fit System
One Pair / One Tree
AKU Authenticity
SIMON HAVENHAND
I've called Canada home since 2016. Before that, I was living in the U.K. Moving to the mountains definitely sparked my love for the outdoors, and I quickly realized that I had a hunger to explore more. In the summer, I love to explore the trails by foot or on bike. In the winter, you'll find me on skis. I love the outdoors because, for me, it's a space to reset and reconnect. It's also a place to seek a fulfilling challenge–both mentally and physically.
What outdoor activity are you most passionate about, and how did you get started in it?
I love to hike. My grandad used to take me on long walks in the Yorkshire Dales, and I remember hiking Scafell Pike (England's highest) with my dad and really enjoying it. But it wasn't until I moved to Canada that I really got into it. My passion for hiking has taken me to the tops of some of Canada's most iconic peaks, and has evolved into overnighters and thru-hiking.
What's the most epic trip you've ever taken?
In September 2021 we hiked the West Coast Trail from south to north. This is a challenging 75km wilderness trail on a remote stretch of Vancouver Island's west coast, which is shared with bears, wolves and the occasional cougar. The trail consists of varying terrain–from dense, temperate rainforest to sandy beaches and immense boulder fields. Your route also takes you over 130 bridges, up and down 70+ ladders, and across 4 self-propelled cable cars–all with 40+ lbs on your back! It was an incredible experience, filled with epic views and awesome memories to last a lifetime.
What is your biggest/favorite outdoor adventure achievement to date?
In the summer of 2019, we did a 2-week long road trip driving 3,500km from Squamish, British Columbia, to Yosemite National Park and back. Along the way, we hiked in numerous iconic areas including Crater Lake National Park, Redwoods National Park, Lassen National Forest, and of course, Yosemite National Park. One of the highlights for me was hiking Mount Tallac in Lake Tahoe.
Which charity/advocacy organizations do you support or belong to?
In the past, I have done work with–and continue to support–LGBT Outdoors. They advocate for a more inclusive outdoor space where LGBTQIA2+ individuals feel welcome, safe, and represented. I also support a local initiative called Colour The Trails. Their aim is to provide access to the outdoors for BIPOC individuals by offering group events and outdoor adventure training.
What is your favorite pair of AKUs, and where do they usually take you?
My favourite pair of AKUs has to be my Superalp GTXs. Because they're GORE-TEX, they're great for any trail and in any weather–perfect for West Coast conditions! I also enjoy wearing them with my snowshoes, and they've taken me to many alpine lakes in the depths of winter.
What is the most important piece of gear in your pack (excluding footwear)?
It has to be my camera. It goes on every hike with me!
What do you hope to accomplish next in the outdoors?
I've been slowly getting into rock climbing, and it would be great to do more. There's so many awesome climbs close to where I live.
My Favorite AKU Products
Come Join the Crew!
AKU OUTDOOR
AKU Canada
AKU Europe
AKU Pro Program
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text:
#ifndef __VEC234_H__
#define __VEC234_H__

#ifdef __cplusplus
extern "C" {
#endif

#pragma warning(push)
#pragma warning(disable : 4201)

/**
 * Tuple of 4 ints.
 *
 * Each field can be addressed using several aliases:
 *  - First component:  x, r, red or vstart
 *  - Second component: y, g, green or vcount
 *  - Third component:  z, b, blue, width or istart
 *  - Fourth component: w, a, alpha, height or icount
 *
 */
typedef union
{
	int data[4];    /**< All compoments at once     */
	struct {
        int x;      /**< Alias for first component  */
        int y;      /**< Alias for second component */
        int z;      /**< Alias for third component  */
        int w;      /**< Alias for fourht component */
    };
	struct {
        int x_;     /**< Alias for first component  */
        int y_;     /**< Alias for second component */
        int width;  /**< Alias for third component  */
        int height; /**< Alias for fourth component */
    };
	struct {
        int r;      /**< Alias for first component  */
        int g;      /**< Alias for second component */
        int b;      /**< Alias for third component  */
        int a;      /**< Alias for fourth component */
    };
	struct {
        int red;    /**< Alias for first component  */
        int green;  /**< Alias for second component */
        int blue;   /**< Alias for third component  */
        int alpha;  /**< Alias for fourth component */
    };
	struct {
        int vstart; /**< Alias for first component  */
        int vcount; /**< Alias for second component */
        int istart; /**< Alias for third component  */
        int icount; /**< Alias for fourth component */
    };
} ivec4;

/**
 * Tuple of 3 ints.
 *
 * Each field can be addressed using several aliases:
 *  - First component:  x, r or red
 *  - Second component: y, g or green
 *  - Third component:  z, b or blue
 *
 */
typedef union
{
	int data[3];    /**< All compoments at once     */
	struct {
        int x;      /**< Alias for first component  */
        int y;      /**< Alias for second component */
        int z;      /**< Alias for third component  */
    };
	struct {
        int r;      /**< Alias for first component  */
        int g;      /**< Alias for second component */
        int b;      /**< Alias for third component  */
    };
	struct {
        int red;    /**< Alias for first component  */
        int green;  /**< Alias for second component */
        int blue;   /**< Alias for third component  */
    };
} ivec3;

/**
 * Tuple of 2 ints.
 *
 * Each field can be addressed using several aliases:
 *  - First component: x, s or start
 *  - Second component: y, t or end
 *
 */
typedef union
{
	int data[2];    /**< All compoments at once     */
	struct {
        int x;      /**< Alias for first component  */
        int y;      /**< Alias for second component */
    };
	struct {
        int s;      /**< Alias for first component  */
        int t;      /**< Alias for second component */
    };
	struct {
        int start;  /**< Alias for first component  */
        int end;    /**< Alias for second component */
    };
} ivec2;

/**
 * Tuple of 4 floats.
 *
 * Each field can be addressed using several aliases:
 *  - First component:  x, r or red
 *  - Second component: y, g or green
 *  - Third component:  z, b, blue or width
 *  - Fourth component: w, a, alpha or height
 */
typedef union
{
	float data[4];    /**< All compoments at once    */
	struct {
        float x;      /**< Alias for first component */
        float y;      /**< Alias fo second component */
        float z;      /**< Alias fo third component  */
        float w;      /**< Alias fo fourth component */
    };
	struct {
        float x_;     /**< Alias for first component */
        float y_;     /**< Alias fo second component */
        float width;  /**< Alias fo third component  */
        float height; /**< Alias fo fourth component */
    };
	struct {
        float r;      /**< Alias for first component */
        float g;      /**< Alias fo second component */
        float b;      /**< Alias fo third component  */
        float a;      /**< Alias fo fourth component */
    };
	struct {
        float red;    /**< Alias for first component */
        float green;  /**< Alias fo second component */
        float blue;   /**< Alias fo third component  */
        float alpha;  /**< Alias fo fourth component */
    };
} vec4;

/**
 * Tuple of 3 floats
 *
 * Each field can be addressed using several aliases:
 *  - First component:  x, r or red
 *  - Second component: y, g or green
 *  - Third component:  z, b or blue
 */
typedef union
{
	float data[3];   /**< All compoments at once    */
	struct {
        float x;     /**< Alias for first component */
        float y;     /**< Alias fo second component */
        float z;     /**< Alias fo third component  */
    };
	struct {
        float r;     /**< Alias for first component */
        float g;     /**< Alias fo second component */
        float b;     /**< Alias fo third component  */
    };
	struct {
        float red;   /**< Alias for first component */
        float green; /**< Alias fo second component */
        float blue;  /**< Alias fo third component  */
    };
} vec3;

/**
 * Tuple of 2 floats
 *
 * Each field can be addressed using several aliases:
 *  - First component:  x or s
 *  - Second component: y or t
 */
typedef union
{
	float data[2]; /**< All components at once     */
	struct {
        float x;   /**< Alias for first component  */
        float y;   /**< Alias for second component */
    };
	struct {
        float s;   /**< Alias for first component  */
        float t;   /**< Alias for second component */
    };
} vec2;

#pragma warning(pop)

#ifdef __cplusplus
}
#endif

#endif /* __VEC234_H__ */


text:
House of Rugby
Munster Rugby
Leinster Rugby
GuinnessRugby
Tadhg Furlong
Andrew Porter describes details of his positional switch better than we ever could
Patrick McCarry
Andrew Porter surpassed the 2017 goals he set for himself so he is aiming even higher again.
On New Years' Day, the Leinster prop had his first outing of 2018. After sitting out the electric win over Munster, Porter was thrown back into some trench warfare against Connacht.
If 11 tackles, three carries, over 20 ruck involvements, seven scrums and 17 lineouts sounds like a busy afternoon's work that's because it was. However, compared to some teammates, the stats would almost suggest he was slacking.
"Everybody was working for each other," says Porter. "I think Josh van der Flier broke the PRO14 record with 34 tackles; a crazy amount. Some effort from the lads and you could see we were all working for each other against Connacht."
That game was Porter's 11th of the season but just his third start. He knows what he is aiming for this year.
"Before the year started," he begins, "I set out a couple of goals.
"I did that before 2017 started but I think I surpassed a few of them and surprised myself a bit. I think 2018 is a year of many opportunities for me so I'm really looking forward to. I wouldn't want to be getting too far ahead of myself [with my goals]. I'll sort of start out small, get into it and pave the way for myself a bit.
"The main goal for me was to get a few Leinster caps under my belt and get my career off to a bit of a start. But that went alright for me. Getting that change from loose-head to tight-head felt like a set-back at the time but it has really helped me in my career now and helped me get that Ireland cap in the United States and then in the autumn internationals as well.
"The main thing for me is to get more regular game time, rather than a few minutes here and there. Making my Champions Cup debut against Exeter in the Aviva was a good stepping stone for me. It's just about gaining experience really."
Porter came to national attention as a bullocking, ball-carrying loose-head, in the Cian Healy mould, for an Ireland Under 20 team that reached a junior world championship final. The provincial and national need for good tight-heads led to him being re-purposed for the other side of the front row.
The 21-year-old explains how that change is made, and it has been far from simple.
"I never really considered that move before. I thought I was doing alright for myself at loose-head considering the Under 20s world championship; I thought I did alright in that. Then there was this massive step up to professional level after that. It was never really in my mind to transition over to the right-hand side but with the support and coaching from everyone at Leinster, it has really helped me and made that transition a lot easier.
"It's almost like writing with your bad hand, at the beginning. You go through ups and downs. You might have a bad training day, or something, but is is all part of learning. You have some of the top guys in there. When Mike Ross was here, he was always helping me out and now you have Tadhg Furlong and even Michael Bent as well. Even though we are all going for the No.3 jersey, we are all helping each other out and making each other better."
Ireland's best uncapped prospects for the Guinness Six Nations
Porter had eight Leinster appearances [one start] by the time he made his Ireland debut, last summer, against the United States. By November 2017, Porter had added just one more start for his province, against Zebre, when Joe Schmidt pitched him in, from the first minute, against Fiji.
If that seems like a rapid rise, the St Andrew's graduate needs only to look at Leinster teammate Tadhg Furlong as the template for career building.
"It is inspiring," Porter begins, "to see him do so well in almost such a short period of time. He's a great guy off the pitch as well.
"To see him do so well over there for the Lions and rising up to be Ireland's first choice tight-head is really great to see. It gives me something to strive for as well."
Porter firmly believes Leinster possess a special, "family" environment and one that has put them in such a strong position to compete for the top pots over the past decade.
Having grown up idolising the likes of Jonaha Lomu and Keith Wood before moving on to Brian O'Driscoll, Healy and Johnny Sexton, the daily grind is augmented by training and playing with some real-life heroes.
"It is a bit surreal, yeah," he remarks. "You only really dream of playing professional rugby for your province; it's your home.
"So it is really special, being able to come in every day and do something you love with your best friends. And being able to do it with people you kind of idolised, growing up, makes it that bit surreal."
Andrew Porter was in the RDS to launch Life Style Sports' latest fan competition. Fans attending the next four home games should keep an eye out for the Life Style Sports stamped seats. If you find yourself in a special seat and are wearing the latest Leinster Rugby jersey, be sure to take s selfie with the stamp tagging@LifeStyleSportsRugby on Instagram to win a €50 gift card.
Leinster Rugby,
Andrew Porter.
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text:
Q: spell check for punctuation characters in continuous text with vim is it possible to check punctuation characters in continuous text with vim?
to avoid e.g.
The story of 'Hello World'  :  <CR>
Hello World!Hello World:, Hello World.<CR>
Hello World.    <CR>

A: Apparently it isn't possible to add all those illegal punctuation combinations to the bad word list; when I select :; from your example and press zW, it isn't highlighted as spell errors.
That leaves only some other sort of highlighting, e.g. via additional syntax highlighting rules:
:syntax match SpellBadPunctuation /[;:,.]\{2,}/
:highlight link SpellBadPunctuation SpellBad

(You may want to refine the regular expression.) That gives you a visual indication, but you still cannot navigate to those errors with the built-in ]s motions!


it does not issue any warnings but when I echo $page to the screen the fckeditor html prints out before the rest of the string.
it is returning the correct data from the database, which is inside the fckeditor box, but it is above where it should be in the html document. Which to me means that it is somehow getting to the start of the $page string instead of being in the middle of the $page string.
as you can see it prints the FCKeditor tags before the rest of the $page string (<form tag should be the start of the string).
I am no expert on OO php so I am thinking I have to do something specifically for OO programming to accomplish this.