text:
My ideal sportsman Lionel Messi
Spain National Football Team
My idol - Lionel Messi
My Idol Ronaldinho
Lionel Andres Messi
My idol is John Terry
History of Real Madrid
Yekaterina Gamova
FK Barcelona
1. FK Barcelona
2. Founder FK Barcelona
Joan Gamper (22 November 1877, Winterthur,
Switzerland July 30, 1930, Barcelona, Spain), the athlete,
the founder of FC Barcelona, the player and the
President. In 1898, the Gamper was going to Africa to
learn the business of the sugar trade, but on the way
decided to visit his uncle Emily Gassert living in
Barcelona and fell in love with the Spanish city, deciding
to stay there forever. He later changed his name to the
Catholic version, Joan Gamper. Began working as an
accountant in a large railway company, and writing
sports articles for two Swiss Newspapers. Joined the local
Swiss Evangelical Church and began playing football in
the local Protestant community in the district of sarrià Sant Gervasi. The Gamper also helped publish a
magazine, Los Deportes. Responded to the
announcement by the Swiss, British and Spanish
football fans expressing their desire to become founders:
Walter Wilde, Louis Osso, Bartolomeu Terradas, Otto
Kunzle, Otto Maier, Ducal Enric, Pere Cabot, Carles
Pujol, Among Lobet and his new friends John and
William Parsons. And it started the history of the great
futbol club Barcelona.
3. Anthem FK Barcelona
The anthem of football club "Barcelona" is the Official anthem is the Song of
Barcelona is written in 1974. The authors of the text are Josep Maria Espinas
and hum Pikas, music Manuel Valls and Gorin. For the first time, the official
premiere took place on 27 November 1974, during the celebration of the 75th
anniversary of the club in the choir of St. Jordi. The very first version of the
club anthem was first performed on 18 February 1923 in unison Later Presence
at the old stadium "Les Corts" in honor of President Joan Gamper. The author
of the words was Rafael Folch-and-Capdevila, music Enrico Morera. In recent
years there have been other versions of the hymn from such artists as Serrat,
Joan Manuel, in connection with various events, for example such as the
celebration of the centenary of the club. In addition, the Council, chaired by
Joan household duties became actively involved many performers and
ensembles to adapt the hymn to the most different musical styles: pop, rock,
rap, Samba, hip hop, ska, Rumba. Traditionally, the club's anthem performed
during the exit of players on the field before the match and in case of a victory
of FC Barcelona.
4. Stadium FK Barcelona
Camp Nou the stadium of football club Barcelona. Since
its opening in 1957, the stadium belonged to the Catalan
football club was initially called Estadi del FC Barcelona
(FC Barcelona Stadium), although even then it was known
as camp Nou. Officially its current name it received in
2000. Camp Nou is the largest stadium capacity, not only
in Spain but throughout Europe: it accommodates
approximately spectators. The stadium was built, when
the presidential chair was occupied by Barcelona, Francesc
miró-sans. He promoted the project of the future camp
Nou due to the small capacity of the old stadium Camp de
Les Corts, and also due to the fact that the main
competitor of real Madrid's Estadio Chamartin was built
(now known as Santiago Bernabeu). The project of new
stadium of Barcelona was entrusted to the architect
Francesc Mitjans. The first stone was laid in March of 1953,
and the opening of the stadium took place on 24
September 1957. Since then, Barcelona parted ways with
his former stadium and began to play at the camp Nou,
which gave the thousands of fans who do not have enough
space on the Les Corts, the opportunity to visit the
matches of your favorite team. When it first opened, the
camp Nou was one of the largest and most majestic
stadiums in the world: his capacity was.
5. Emblem FK Barcelona
The emblem has the form of a "pot" is
divided into three quartely. In the top
two is played the flag of the city of
Barcelona (that is the Cross of St.
George and the flag of Catalonia). At
the bottom is a leather ball of the
sample first half of XX century on the
background of blue and maroon
stripes of the colors of the club. In the
center of the shield on a gold strip that
separates the upper and lower part of
the coat of arms, displayed the initials
of the name of the club FCB (Football
Club Barcelona).
6. The title of the Spanish Cup
Primera Division professional
football League of Spain also
known as Example, and La Liga is a
professional football tournament
top level clubs in the football
League system of Spain. La Liga is
considered one of the best football
leagues in the world. Barcelona
have won this trophy 20 times
(1928/29, 1944/45, 1947/48, 1948/49,
1951/52, 1952/53, 1958/59, 1959/60,
2004/05, 2005/06, 2008/09,
2009/10годах).
7. The title Champions League
The Champions League is the most
prestigious European club football
tournament, held annually under the
auspices of UEFA. With his first draw in
the season 1955/56 and in the 1990/91
season, the tournament was called the
European Champions Cup. In the 1991/92
season, a tournament called "Champions
League" and changed format, making
retreat from the Olympic system in the
form of the group stage. It was the first
draw of the Champions League, then the
current anthem and emblem. From the
1992/93 season onwards the tournament
got its current name. The winner for the
League/Cup became 21 different clubs, 12
of them won the tournament more than
once. The record for number of titles won
is Madrid "real Madrid (the main rival of
Barcelona)", who won 9 times. Barcelona
also won this Cup 3 times in 1992, 2006
and 2009.
8. The title of the UEFA Cup
tournament, which was attended
by the winners of the national Cup
competitions of the participating
countries of the UEFA. The first
draw was held in the season , the
last 1998/99. The competition was
abolished, and the clubs-the
winners of the national cups won
the right to participate in the UEFA
Cup in 2009/10 renamed the UEFA
Europa League, the second most
important European club football
tournament. Barcelona became
the champion of the UEFA Cup
four times (record) in 1979, 1982,
1989, 1997.
9. Great players FK Barcelona
In Barcelona I played a lot of great players, but I
would like to highlight, in my opinion, the two best –
Ronaldinho(Brazil) and Messi (Argentina). Ronaldo
de assis Moreira (21 March 1980, Porto Alegre, state of
Rio Grande do Sul), more commonly known as
Ronaldinho ), Brazilian football player stands at the
position of attacking midfielder and striker. Winner
of the Golden ball, given to the best player in Europe,
2005. Best player in the world by FIFA in 2004 and
2005. These achievements he received playing for
Barcelona. Messi Olympic champion 2008, world
champion among youth in 2005. Messi winner of the
Golden ball as 2009 European footballer. 19 Dec 2009
in Abu Dhabi Messi became the world champion
among clubs after scoring the winning goal in the
final match. 21 Dec Lionel Messi received another
award, the "Diamond ball", becoming the best player
of 2009 by FIFA. 10 January 2011 Lionel Messi was
named the best player in the World 2010. Messi
became the first winner of the "Golden ball FIFA"
combined prize from France Football and FIFA.
10. Head coaches FK Barcelona
During the existence of the club was replaced by 45
coaches, I'd like to tell you about some of them. Frank
Rijkaard began to lead Barcelona since the 2003-04
season. His first titles as a coach has reached, becoming
in the 2004/05 and 2005/06 Champions Spain. In the
2005/06 season he also led Barcelona to its second-ever
Champions Cup. In addition, he won two Spanish super
Cup in 2005 and 2006, Winning the UEFA Champions
League in 2006, he became the fifth of six people to
have won the Cup/Champions League as a player and as
a coach. In the same row with him are Miguel muñoz,
Giovanni Trapattoni, Johan Cruyff, Carlo Ancelotti and
Josep Guardiola. At the end of may 2008 Frank Rijkaard
was replaced by Josep Guardiola. Josep Guardiola a sixtime Spanish champion, winner of European
Champions Cup 1991/92, 1992 Olympic champion (as a
player); the best club coach of the world (2009), twotime Spanish champion, winner of Champions League
2008/09 (as a coach). Under his leadership, Barcelona
played at the moment, 169 games, 119 wins, 29 nobody
and 16 defeats.
11. The main part FK Barcelona


The Congress gave indications that it will run a relentless campaign, try to set the agenda for the polls ahead and seek to put the Modi government on the defensive on various issues.
The Congress made a strenuous effort to energise its workers for the electoral battles ahead at the party plenary that concluded on Sunday, pitching itself as the real alternative to BJP while also expressing its willingness to cooperate with like-minded parties to unseat the Modi government in 2019 Lok Sabha elections.
The session, with fiery speeches of Congress President Rahul Gandhi and UPA Chairperson Sonia Gandhi, gave an inkling that the 2019 battle will be keenly fought and the campaign could get bitter as the election approaches.
Amid calls for sustained hard work to make Rahul Gandhi the Prime Minister in 2019, the party signalled it would not shirking from a presidential-style contest against Prime Minister Narendra Modi.
Much will depend on the outcome of the verdict in states going to the polls this year, Karnataka first and Rajasthan, Chhattisgarh and Madhya Pradesh later this year. Except for Karnataka, the Congress and BJP are locked in a direct contest in the three other states.
The three-day plenary took place at a time when efforts are underway to forge a third front of parties opposed to BJP as also the Congress.
The speeches and the resolutions adopted at the plenary were a reaffirmation of the Congress claim of being the natural leader of the grouping of anti-BJP parties.
The Congress faces a stupendous challenge of building a counter-narrative against Modi to weaken his credibility among the people, win back sections that have drifted away and match the BJP's deftness as a poll-fighting machine. But it also has a natural advantage as a challenger to the BJP in Madhya Pradesh, Rajasthan and Chhattisgarh and to the Modi government in 2019. In these battles, the BJP will be tasked with defending the performance of its governments and beat anti-incumbency. The Congress is also keen to make Modi's 2014 pitch of 'acche din' an albatross around the BJP's neck.
Rahul Gandhi, who took over as party chief in December from his mother Sonia Gandhi, sought to energise the party rank and file and promised to address their grouse that well-connected within the party often 'parachute' down at the time of ticket allocation at the cost of genuine, dedicated workers.
He also promised to make party leaders more accessible to workers by breaking the 'walls' and giving more tickets to the youth.
With several state units plagued by factionalism, Gandhi indicated that he would enforce discipline so that party's effort at winning elections is not wrecked in any way.
He framed the 2019 battle as a fight for truth by the Congress and for power by the BJP, likening it to the clash between the Pandavas and the Kauravas during the Mahabharata battle.
The 'worker-centric' gathering was held in a different format than the past plenaries with leaders were not seated on the stage.
Rahul Gandhi said he had kept the stage empty for talented youth from within the party and outside.
Sonia Gandhi exhorted party rank and file not to think of personal egos and ambitions and work with determination to face challenges that are not ordinary. While the party's political resolution talked of adopting a pragmatic approach for cooperation with all like-minded parties and evolving a common workable programme to defeat the BJP-RSS in the 2019 elections, its leaders, in their speeches, exhorted workers to work for party's victory in the general elections.
They also said that Congress was the only party that can reverse the 'ill-effects' of BJP's economic policies. There was hope that Rahul Gandhi would unfurl the Tricolour from the Red Fort in 2019.
There was also hope that Congress will 'once again' become a party that represents the aspirations and expectations of all the communities and is the anchor of the political and social dialogue.
While the party's four comprehensive resolutions, political, economic, foreign affairs and on `agriculture, unemployment and poverty alleviation' sought to address concerns of various sections of society, Rahul Gandhi, in his concluding speech, focused on youth and farmers, two sections that are perceived to be getting disenchanted with the Modi government and represent a vast section of population. More than half of country's population is dependent on agriculture for livelihood and almost two-thirds of the population is below the age of 35.
The Congress has suffered a string of reverses after its debacle in the 2014 Lok Sabha polls but its performance in Gujarat assembly polls and victory in Lok Sabha bypolls in Rajasthan has boosted the morale of party workers.


text:
Ed Miliband (născut Edward Samuel Milibandׁׁׁׂׂׂ la 24 decembrie1969, Londra) este un politican social-democrat britanic. Între 2010-2015 a fost liderul Partidului Laburist din Marea Britanie și liderul opoziției din parlamentul britanic. Din anul 2020 este membru în cabinetul fantomă al opoziției britanice ca secretar de stat pentru afaceri si strategie industrială, iar din noiembrie 2021 secretar de stat pentru  schimbarea climatului și neutralizarea carbonului.
El este deputat în Camera Comunelor din partea comitatului Doncaster North și a servit ca ministru în anii 2007-2010 în guvernul condus de Gordon Brown. El și fratele său, David Miliband, au fost primii frați gemeni care au fost în mod simultan miniștri într-un cabinet britanic, de la frații Edward, Lord Stanley și Oliver Stanley în anul 1938.
Ed Miliband este și cel dintâi lider al Partidului Laburist Britanic având origine evreiască.

Miliband a absolvit Colegiul Corpus Christi de la Universitatea Oxford și London School of Economics, devenind mai întâi ziarist la televiziune, apoi cercetător al Partidului Laburist. Ulterior a fost unul din apropiații liderului laburist Gordon Brown, cancelar și președintele consiliului consilierilor economici ai Finanțelor Regatului.
Când Brown a devenit prim ministru in 2007, el l-a numit pe Ed Miliband ministru pentru cabinet, și cancelar al ducatului de Lancaster, apoi între 2008-2010 secretar de stat pentru energie si schimbarea climatului, La 25 septembrie 2010 l-a învins pe fratele său, David, la alegerile pentru funcția de lider al Partidului Laburist.
A demisionat din funcția de conducător al Partidului Laburist în urma înfrângerii în alegerile legislative din 2015.

Politicieni britanici
Miniștri britanici
Social democrați evrei
Oameni în viață

redpajama_set_name: RedPajamaWikipedia


text:
\subsection{Future Work}
In the future, there are two primary areas in this work which are intended to be improved and many others which can be explored. To begin, due to ClusterLog's high dependence on the accuracy of sentence and sentiment embedding models, improvements in both of these areas could prove to be of value.
The first direction of improvement is further exploration of clustering techniques to find an even more clear and easy-to-apply way of selecting the right clustering hyperparameters.
The second direction is to further provide evidence for CLusterLog's generalizability by applying it to a larger scope of log systems. In addition to more parallel and distributed file systems, ClusterLog should prove its viability against other systems such as Kubernetes.

\subsection{Preprocessing}
The first step of the ClusterLog implementation is rudimentary preprocessing of the raw log files. The goal of this step is to remove any excess characters and information from each individual log key, to result in a stripped key containing only the natural language sequence of the log which can be extracted as a unique log key and matched with many other logs in the original file. While it is ideal to reduce the log to its most generic natural language form to result in the smallest possible amount of unique log keys, an approximation of this will likely suffice if the former is too difficult to achieve. This is sufficient as the semantic embedding model will almost identically embed keys which are of the same logging template but are not a perfect match, meaning they will be clustered together even at the lowest of distance thresholds. As preprocessing can occasionally be very tedious, approximation at this step is highly valuable in regards to time and effort required to set up this approach compared to others. Depending on the file system which is being analyzed, the exact preprocessing steps may vary, but with the same goal in mind, preprocessing generally consists of extracting the log content, removing unique identifiers such as time stamps or Block IDs, removing unnecessary characters or character patterns, and unabbreviating words.

\subsection{Semantic Embedding}
Once the logs have been preprocessed, the natural language sequence of each log is fed into a pre-trained semantic embedding model. Though a number of applicable models do exist, the most accurate embeddings were achieved using the all-mpnet-base-v2 \cite{allMPnet2} model which itself was pre-trained on the original mpnet-base \cite{SongMPnet} model, {\color{black}published in 2020}, and further fine-tuned on over 2.1 Billion sentence pairs to optimize the model for semantic similarity. Though a further fine-tuning step specific to the semantic similarity among log keys would likely improve the semantic embedding quality even further, there is no known labeled dataset for this task, and creating labeled sentence pair data for semantic similarity is an arduous task. The output of this embedding model is a latent representation of the natural language contained within the log key of shape (768, 1) {\color{black}where the distance in the latent space between semantically similar sentences is close together, and those which are semantically diverse are far apart.}

\subsection{Sentiment Prediction}
While the semantic embedding model is valuable in that it creates a latent space where semantically (language-wise) similar sentences are close together and diverse ones are far apart, which can be used to cluster log keys reporting on the same or similar processes, these embeddings sometimes miss a valuable feature of natural language which is often included in logs. That feature is sentiment. A simple example of how classifying sentiment can add value to a semantic embedding is evident in the following two HDFS logs: \texttt{Exception in receiveBlock for block} and  \texttt{Receiving empty packet for block}. These two logs are similar in terms of semantics using our pre-trained model because of their shared key words. However, the first one indicates an anomaly while the second does not.
This presents a challenge when clustering solely based on semantic embedding.

To work around this kind of issue, we
follow the idea of our recent SentiLog work which leverages the sentiment of file system logs~\cite{zhang2021sentilog}. Specifically, we reuse
the pre-trained sentiment classification model from SentiLog on a set of neutral/positive and negative log keys, and concatenate the rounded (0 or 1) output of this model to the overall embedding of the log.
Adding a sentiment dimension properly helps separate logs which may be semantically similar but opposite with regard to sentiment. Ultimately, the semantic embedding, including the concatenated sentiment prediction, serves as a highly accurate latent representation of the log key which can confidently be used to cluster logs which are truly similar.

\subsection{Clustering}
The ultimate goal of ClusterLog is to cluster the runtime logs into similar groups, so that we can use the same group ID to represent similar logs to reduce the complexity of the log sequences.

Following the semantic embedding and sentiment prediction steps, and their concatenation, the entire embedding is fed into a clustering algorithm in order to group the keys.
However, there are a variety of problems associated with common clustering algorithms such as K-Means clustering when applied to this task. Initially, we ruled out K-Means primarily because of the need to specify the amount of centroids, which presents a major challenge as it makes the approach highly dependent upon the training data being fully representative of the logs during deployment as new, unseen, log keys would be forced to be grouped with an existing cluster, regardless of actual semantic and sentiment similarity. To add to this, finding an optimal number of centroids in K-Means based purely on the embedding data presents a challenge in and of itself as classic methods like the Elbow method are inconclusive on out our datasets.

In response to this, other clustering methodologies which create an arbitrary amount of clusters dependent on a specific distance threshold between clusters or points seem to be more suited. However, in practice, these too can be difficult to assess, as finding the correct hyper-parameters (i.e. the distance) for the given dataset is not always clear. But through extensive exploration, Density-Based Spatial Clustering of Applications with Noise (DBSCAN) \cite{DengDBSCAN} gave the most promising results when applied to a variety of file systems' logs. DBSCAN is simply described as a clustering algorithm which defines data points as core points, border points, and noise points based on \textit{Epsilon}, a distance threshold, and \textit{minimum samples}, both of which must be manually set.

\begin{figure}[h]
    \centering
    \includegraphics[width=0.7\linewidth]{figs/LustreThresholds.png}
    \caption{\small Number of generated clusters on \textit{Lustre} logs using different DBSCAN threshold.}
    \label{fig:LustreThresholds}
\end{figure}
\begin{figure}[h]
    \centering
    \includegraphics[width=0.7\linewidth]{figs/HDFSThresholds.png}
    \caption{\small Number of generated clusters on \textit{HDFS} logs using different DBSCAN threshold.}
    \label{fig:HDFSThresholds}
\end{figure}
The reason for choosing DBSCAN was primarily driven by the fact that it gave a more consistent, and often more valuable, insight on how to set the threshold hyper-parameter for good results. In contrast to KMeans and other classic algorithms, the epsilon parameter used by DBSCAN can be used to locate density gaps in the data as well as the amount of change required to overcome these gaps. Additionally, \textit{Epsilon} is highly intuitive to tune as it can be easily understood as modifying the radius around each point which is used to search for neighboring points. This means that when applied to any system, some analysis of how far apart embeddings of similar entries are can be used to gain meaningful insight as to what a good \textit{Epsilon} value may be. As shown in Figure \ref{fig:LustreThresholds} and \ref{fig:HDFSThresholds}, when plotting epsilon from 0.4 to 1 against the amount of clusters created by DBSCAN for HDFS and Lustre, respectively, both graphs indicate noticeable ledges where multiple steps of epsilon do not result in any change in the amount of clusters found by DBSCAN. The thresholds at or around the longest of these ledges, provide a good baseline for setting the epsilon hyperparameter. Using a very minimal training and testing set allows us to verify such hyperparameter values.

With regard to the second hyperparameter which was mentioned, \textit{minimum samples}, it was set to a constant value of 1. By setting minimum samples to 1, DBSCAN does not predict any of the data points as noise, but rather, any outliers simply become a unique cluster of just themselves. This was done for the simple reason that labeling all outlier points as -1 to indicate noise effectively creates a meaningless cluster of completely unrelated log keys which are only grouped because they are too far from others. This severely impacts the ability for the sequential analysis algorithm to properly predict anomalies.

\subsection{Sequential Analysis}
The final part of ClusterLog is the downstream sequential analysis algorithm. In the current implementation, we focus on comparing with a state-of-the-art log-based anomaly detection method, DeepLog. Hence, we use DeepLog's sequence-learning part as the downstream algorithm. It is based on a standard 2 layer LSTM architecture which uses ten sequential log keys as input to predict the probability distribution of the next log key. From this probability distribution, log keys within the top 9 are treated as part of a normal sequence, while other log keys in this distribution are treated as anomalies.

\subsection{Lustre}
\subsubsection{Dataset}
Due to the lack of publicly available anomaly detection datasets for Parallel File Systems, the dataset utilized in this paper was generated and labeled via a process of fault injection. Specifically, the fault injection was simulated using PFault \cite{pfault}, an open-source fault injection repository for Parallel File Systems. The labeling of this data was done by treating data before fault injection as normal and having domain experts manually label the data following a fault injection to ensure its relevance with the injected anomaly. This process resulted in a dataset containing 150,473 normal logs and 7,401 abnormal, anomalous logs. Additionally, the total number of unique log key templates in this dataset equated to 73.

\subsubsection{Training and Testing}
The training setup for evaluating ClusterLog against the Lustre dataset can be simply described as learning a portion of the normal sequence of logs (without anomalies) to show the sequence model how normal logs look, and then using that knowledge to see if anomalies can be detected in a sequence of logs containing both normal and anomalous logs. Both the train and test set are created by forming a sliding window of size 10 among the log key sequence, where the goal is to create a probability distribution for the next log key. If the next log key is not within the top candidates of the probability distribution it is counted as an anomaly while testing. {\color{black}A distinction to this setup is made when comparing it with NeuralLog as NeuralLog trains on a set of both normal and anomalous logs. Additionally, NeuralLog does not predict the next log in a sequence, but rather classifies a given sequence as anomalous or not. Based on these approaches, Accuracy, Precision, Recall, and F-measure are calculated.}

While most of the training and testing analysis was done using 25 percent of the total normal logs, in order to test {and compare} the limits of generalizability, a further test was carried out in which a smaller amount of the entire dataset was used to train the sequence model. This test was carried out by {\color{black}using just 1 percent of the entire Lustre training set. This split resulted in ~1,500 total samples.}

\subsection{HDFS}
\subsubsection{Dataset}
Among the majority of recent anomaly detection works, the same HDFS dataset is most commonly referenced in their respective evaluations. This makes it a good benchmark comparison for new results. In contrast to logs contained in the Lustre log dataset, HDFS logs contain a specific block ID in addition to their log content which allows them to be grouped by session. Anomalies are labeled on a per-session basis rather than a per-log basis for this dataset. The labeling itself was carried out by domain experts who discovered and labeled sessions containing one of 11 types of anomalies. This resulted in a dataset with 11,197,954 messages, grouped into 575,139 sessions, of which 16,808 sessions were anomalous~\cite{xu2009online}.

\subsubsection{Training and Testing}
During training, the sequence model utilizes only the normal log sessions, and each key in each session is represented by the corresponding cluster calculated by DBSCAN. Much like what was done with Lustre, the sequence model learns normal behavior by using a window of 10 cluster IDs. During testing, the trained sequence model is run against both the normal and the anomalous log sessions. For each session, the sequence model utilizes the window of 10 keys to predicting a probability distribution for the next ID in the session. As opposed to Lustre, if the model predicts an anomaly, the session is labeled as an anomaly, instead of just the log key. If no anomalies are predicted within a given session, the session itself is predicted as being normal. {\color{black}This setup varied slightly in the case of Neuralog, as it did for Lustre, as Neuralog views each entire block and classifies the block as anomalous or normal.}

\subsection{Results Analysis}
\begin{figure*}[t]
    \centering
    \includegraphics[width=1\linewidth]{figs/LustreResults.png}
    \label{fig:LustreResults}
    \vspace{-2em}
\end{figure*}
\begin{figure*}[t]
    \centering
    \includegraphics[width=1\linewidth]{figs/HDFSResults.png}
    \caption{\small number of clusters (right $y$-axis) and F-score of the prediction (left $y$-axis) of ClusterLog under different parameter settings for \textit{Lustre} (top) and \textit{HDFS} (bottom). Adding sentiment dimension (the middle figure) shows a clear improvement in F1 scores in a larger range of DBSCAN thresholds. Also, variable number of candidates further improves the F1 scores.}
    \label{fig:HDFSResults}
\end{figure*}

\subsubsection{ClusterLog performance analysis with different settings and hyper-parameters}

The first set of results, shown in Figure~\ref{fig:HDFSResults}, represents the detailed performance of ClusterLog: 1) using numerous values for DBSCAN's epsilon parameter; 2) using sentiment dimension or not; 3) using variable or fixed number of candidates.

The leftmost graph in both of these rows shows the results of ClusterLog without the concatenation of the sentiment prediction to the semantic embedding. The middle graph shows ClusterLog's performance with the concatenation of the sentiment prediction to the semantic embedding. The right-most graph shows ClusterLog's performance with the concatenation of the sentiment prediction as well as using a variable number of candidates instead of a fixed number in the sequence model. Specifically, when the number of clusters descends below 27, the number of candidates used in the sequence model is set to the floor division of the number of clusters by 3 (eg. for 20 clusters, candidates would be set to 6). This feature was added to ClusterLog based on the intuition that when the amount of clusters becomes very low, using a relatively large amount of candidates may force the sequence model to consider a key of very low calculated probability to be normal, increasing the amount of false negatives.

From these results, we can clearly observe not only how ClusterLog can achieve its best results by reducing a large amount of noise with high clustering thresholds, but also that the concatenation of sentiment as well as the adaptation of candidates to account for a low cluster count add to ClusterLog's ability to produce strong and consistent results.

\begin{figure}[h]
    \centering
    \includegraphics[width=0.9\linewidth]{figs/CompareHDFS.png}
    \caption{\small Performance comparison of ClusterLog, DeepLog, and NeuralLog on \textit{HDFS} dataset}
    \label{fig:CompareHDFS}
\end{figure}
\begin{figure}[h]
    \centering
    \includegraphics[width=0.9\linewidth]{figs/CompareLustre.png}
    \caption{\small Performance comparison of ClusterLog, DeepLog and Neuralog on \textit{Lustre} dataset}
    \label{fig:CompareLustre}
\end{figure}

\subsubsection{Overall Comparison with DeepLog and NeuralLog}
In order to provide a reference among state-of-the-art anomaly detection solutions, we compared ClusterLog's results with the results from DeepLog using the most similar training and testing setup possible. For Lustre, a sliding window of size 10 was used to predict a probability distribution among the 73 unique log key templates where a succeeding log key within the top 9 of predictions was considered normal and anything else was considered anomalous. For HDFS, the setup was the same, but because HDFS logs can be grouped into sessions using their block IDs, each session was individually used as a sequence, and the prediction of an anomaly within a session classified the entire session as anomalous.

The results shown in Figure \ref{fig:CompareHDFS} and \ref{fig:CompareLustre} for HDFS and Lustre respectively, show ClusterLog's improvement upon previous SOTA results. In the case of HDFS, while DeepLog maintains a slightly higher Precision, ClusterLog boasts a more significant improvement in Recall, primarily because clustering the most similar logs on the HDFS dataset allows ClusterLog to more easily detect what is truly a normal sequence amidst some noise. {\color{black} NeuralLog also has high precision and recall, but both of these values seem to be slightly outshined by ClusterLog and DeepLog on this train and test split.} {\color{black}Overall, ClusterLog's very high precision and high recall boost its combined F1 score slightly higher than Deeplog's and NeuralLog's}. However, due to the ability to group HDFS logs into sessions by their block ID, the nature of these sessions is already fairly low in noise. This means the application of ClusterLog will still be effective, as is shown, but the difference in performance will likely not be as large as it may be for more noisy systems. Because Lustre is a good example of one such noisy system, the comparison of results on this dataset provides evidence of this larger performance gap.

As shown by Figure \ref{fig:CompareLustre}, the disparity in precision between DeepLog and ClusterLog is very large while it seems both approaches have a very high recall. This is because DeepLog is not able to learn the more noisy sequence effectively, and as a result classifies the vast majority of normal and abnormal logs as anomalous. {\color{black} NeuralLog does a much better job of holding up against this dataset as its vector representations for logs are more robust than DeepLog's log indexes for noisy data, but as shown later, it takes much more labeled data to extract good performance from NeuralLog due to a very large set of trainable weights.} ClusterLog was able to learn the sequence and accurately discern between normal and abnormal logs. In total, the results on both of these datasets in comparison to modern approaches verify ClusterLog's ability to generalize across different file systems and achieve strong results.

\begin{figure}[h]
    \centering
    \includegraphics[width=0.9\linewidth]{figs/Proportions.png}
    \caption{\small Performance comparison between ClusterLog, DeepLog, and NeuralLog using smaller training data. ClusterLog is much more stable even with less training data, showing the effectiveness of clustering logs.}
    \label{fig:Proportions}
\end{figure}

\subsubsection{The impact of training dataset size using ClusterLog}
The final comparison for ClusterLog represents the impact of using a small training set on the ability of ClusterLog, DeepLog and NeuralLog to accurately predict anomalies on the more noisy Lustre dataset. This comparison was done on the Lustre dataset because the difference in the number of clusters used by ClusterLog and DeepLog on this dataset is large, so the impact of changing the training set size should be emphasized by this fact. {As shown in Figure \ref{fig:Proportions}, the prediction results for DeepLog and NeuralLog are massively impacted as the proportion of the training set used shrinks}. {\color{black}The alternative approaches' low performance on such a small dataset can be explained by the fact that the normal interactions between a higher granularity of keys are unlikely to be explained by such a small dataset}. In contrast, the figure shows that ClusterLog can maintain the same level of results even having trained on just 1 percent of the training set (1504 logs). By reducing the number of keys through clustering, ClusterLog is much more likely to not only see all of the keys enough times but also learn the normal interactions between them, ultimately leading to much stronger results on small datasets.

\section{Introduction}
\subfile{Intro}

\section{Design and Implementation}
\label{design}
\subfile{DesignAndImplement}

\section{Evaluation}
\label{evaluation}
\subfile{Evaluation}

\section{Related Works}
\label{related}
\subfile{RelatedWork}

\section{Conclusion and Future Work}
\label{conclusion}
\subfile{Conclusion}

\bibliographystyle{plain}

redpajama_set_name: RedPajamaArXiv


Updated by Tavia on Saturday, September 6, 2014, is one of the pics from the main article Anchored Arm Sinks For Kitchens Made From Stone And Copper.
Although designing a small space house is not an easy t..
If you try to obtain the vintage kitchen cabinets, you ..


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Leeside Lion O'Mahony is ready to roar while Furlong flies the flag for Whiddy Island
Peter O'Mahony of Munster. Picture: Diarmuid Greene/Sportsfile
Seán McCarthy
PETER O'MAHONY will be the pride of Cork when he roars into action for the British and Irish Lions this summer.
The 27-year-old Munster powerhouse will represent Leeside with distinction after he was selected in the 41-man squad by Warren Gatland, though fellow Reds ace from Cork Simon Zebo missed out.
Conor Murray and CJ Stander are the other Munster players to make the cut among 11 Irish players called up.
However, Cork can also lay claim to Tadhg Furlong whose family roots are in Whiddy Island near Bantry. The tighthead prop has been a revelation this season after taking over from Fermoy's Mike Ross in the Ireland side.
O'Mahony was unlucky not to make Gatland's squad for the last Lions tour and it looked like his hamstring injury at the start of the Six Nations could have extinguished his chances again. His form has been exceptional in recent weeks though and the Munster captain offers versatility in the back-row as well as leadership qualities.
O'Mahony, since his days in PBC, has been a born leader and will thrive in New Zealand. The back-rower who has played 88 times for Munster and 40 for his country will lead Munster into their European Champions Cup semi-final with an added pep in his step after seeing off competition from the England and Scottish back-row to get on the plane for New Zealand.
Munster are in action this Saturday at the Aviva Stadium in the Champions Cup semi against Saracens, 3pm, and the holders from England have five Lions in their ranks. The Reds are underdogs, especially with Conor Murray likely to miss out through injury.
The Irish players in the squad are: Jared Payne, Robbie Henshaw, Conor Murray, Johnny Sexton, Rory Best, Tadhg Furlong, Iain Henderson, Jack McGrath, Sean O'Brien, CJ Stander and Peter O'Mahony.

redpajama_set_name: RedPajamaCommonCrawl


The normal function of the prion protein (PrP)—the causative agent of mad cow or prion disease—has long remained out of reach. Deciphering PrP's function may help to unravel the complex chain of events triggered by PrP misfolding during prion disease. In this issue of the JCB, an exciting paper (Khosravani, H., Y. Zhang, S. Tsutsui, S. Hameed, C. Altier, J. Hamid, L. Chen, M. Villemaire, Z. Ali, F.R. Jirik, and G.W. Zamponi. 2008. J. Cell Biol. 181:551–565) connects diverse observations regarding PrP into a coherent framework whereby PrP dampens the activity of an N-methyl-D-aspartate (NMDA) receptor (NMDAR) subtype and reduces excitotoxic lesions. The findings of this study suggest that understanding the normal function of proteins associated with neurodegenerative disease may elucidate the molecular pathogenesis.
© 2008 Steele. Submitted: 27 March 2008; Accepted: 1 April 2008. Published online April 28, 2008; doi:10.1083/jcb.200803152. A.D. Steele is supported by the Broad Fellows in Brain Circuitry program at the California Institute of Technology.


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Bethlehem – Bethlehem Review Krepitus – The Eyes of the Soulless Review
Metallica – Hardwired…To Self Destruct Review
By Dr. Fisting On November 29, 2016 · 218 Comments · In 2016, American Metal, Blackened Recordings, Heavy Metal, Reviews, Thrash Metal
35 years into their career, Metallica's music is so ingrained in heavy metal's DNA that writing about it objectively is almost impossible. Their albums were among the first I ever owned, and they were the first live show I ever saw (with Suicidal Tendencies and original-lineup Danzig opening!). In recent decades, I've cringed alongside the rest of you at the band's various missteps, and rooted for them as they slowly reclaimed bits of their 1980s glory. 2008's Death Magnetic was a huge step in the right direction, and while I'm skeptical of a Metallica double album, Hardwired…To Self Destruct seems to offer a more thorough return to the band's old-school values.
Opener "Hardwired" is a short, focused blast of proto-thrash, and despite its juvenile lyrics, gets the record off to a promising start. To my relief, the obnoxious production of Magnetic is gone, replaced by a beefier update of the …And Justice mix. More importantly, the band sounds firmly committed to playing heavy, thrashy music again — a direction that felt somewhat tentative on Magnetic. "Atlas, Rise!" ups the ante with chunky riffage and, as many have noted, some very Maidenesque guitar harmonies. "Now That We're Dead" is a perfectly good mid-tempo crusher, marred only by the return of Reload-era Hetfield to ruin the chorus. However, the band redeems themselves with "Moth into Flame," a thrashy, dynamic composition that is one of the best things they've written in decades (even if they totally stole the riff from "The Toxic Waltz").
"Dream No More" is the first blatant dip in quality, nailing "Sad But True"'s riffs to "The Memory Remains"' vocal melody for an exercise in disappointment (and don't even get me started on those lyrics). I hesitate to call "Halo On Fire" a ballad, but it's the first track on the record to contain clean guitar tones, building up to an intense Hetfield vocal and, eventually, an extended guitar outro a la "Fade To Black." As Disc 1 concludes, consider me impressed. It's not perfect, but it proves once and for all that these guys can still kick ass, when and if they feel like it.
Sadly, those asses get kicked with much less frequency on Disc 2. "ManUNkind" finds Hetfield yarling like a goddamn buffoon again, while Ulrich attempts swing rhythms that are not in his wheelhouse (to put it gently). "Confusion" is Metallica's first war/military lyric in forever, but the subpar riffage and low energy ensure that this is one battle they will not win. "Am I Savage" is the first track here to truly resemble the band's Load/Reload period, with lame groove riffs and a vocal melody that Hetfield should've steered clear of. "Murder One" is ostensibly a tribute to Lemmy Kilmister, with lyrics strung together from Motorhead song titles, but musically, the song never really takes off.
As you may have noticed, self-editing is still problematic for Metallica. Every single goddamn song save "Hardwired" is about six minutes or longer, resulting in a ridiculous "double album" that contains only 12 tracks. Nearly every song approaches a part that feels like a perfectly-timed ending, then carries on for another 1-2 minutes. Even the crappy songs have a few redeeming parts, like the atonal Gojira bit in "Am I Savage," or Robert Trujillo's bass intro to "ManUNkind." But sadly, it's not enough to hold some of these tracks together or keep them interesting for 7-plus minutes.
However, some highlights still remain. "Here Comes Revenge" is a thick slab of metal reminiscent of Metallica's 2nd side, with a building tension that's rare in the band's catalog. Hammett opens and closes the song with some animalistic guitar noises, adding a primal feeling that complements the lyrics nicely. And fans have already gravitated to "Spit Out The Bone," which rages hard enough to hold its own against the "Battery"/"Damage Inc."/"Dyer's Eve" contingent. This track is thrash by any definition, as Hetfield weaves a man-versus-machine lyric that offers no happy ending. At 7 minutes plus, the track's arrangement is perhaps overly convoluted, but it simply overwhelms with a barrage of riffs and solos.
More-so than any Metallica record since …And Justice, Hardwired feels heavily dominated by one James Hetfield. The riffs and guitar harmonies are unmistakably his doing, delivered with deadly precision and THAT guitar tone. And other than a few embarrassing spots, this is his best vocal performance since 1991. Ulrich's often-mocked drumming is pretty solid, and if the band's studio footage is any indication, his arranging skills were crucial to this album's effectiveness. Hammett's writing contributions are thankfully minimal, and aside from a couple spotlight parts, Trujillo wisely stays out of the way. This seems to be a departure from the band's more democratic post-St. Anger protocol, but clearly it was for the greater good. Here's hoping that Hammett's "missing" cell phone was in Hetfield's possession all along.
As always, Metallica has plenty of fans that will cry "they're back!" no matter what they release, and an equal number of individuals who will hate this album regardless of its merit. The truth, of course, is somewhere in between. A lot of Hardwired is non-essential, and Metallica's inability to self-edit is troubling (says the guy who wrote a 1,000 word review). But beneath its flaws, there are large portions of Hardwired that sound convincingly like the band that helped define this genre and introduce so many of us to the heavy stuff, myself included.
DR: 5 | Format Reviewed: 320 kbps mp3
Label: Blackened Recordings
Websites: metallica.com | facebook.com/Metallica
Releases Worldwide: November 18, 2016
Dr. Fisting's Top Ten(ish) of 2016
Grymm's Top Ten(ish) of 2016
The AMG Staff Picks the Top Ten Records o' 2016: Where Did These Clowns Come From, Anyway?
Steel Druhm's Top Ten(ish) of 2016
Yer Metal Is Olde: Metallica – …And Justice for All
Tagged with → 3.0 • Blackened Recordings • Danzig • Exodus • Hardwired...To Self Destruct • Metallica • Nov16 • Review • Reviews • Suicidal Tendencies


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Used 2012 BMW 7 Series Sedan Review & Ratings
Review & Ratings of the 2012 BMW 7 Series Sedan
Used 2012 BMW 7 Series Sedan Review
More Used BMW Sedan Reviews /All BMW Cars
The 7 Series Sedan is BMW's flagship car, and this year's iteration brings plenty to be excited about. The 740i and 740Li are equipped with a 3.0-liter 6-cylinder engine that offers 315 horsepower and 330 pound-feet of torque. This is an engine that will satisfy most in power and fuel-economy, as it returns 17 mpg in the city and 25 mpg on the highway. This car features an all-wheel drivetrain and provides drivers with excellent handling in most weather conditions. The 7 Series Sedan only gets better with an upgrade in the trim configuration; the 750I, 750i xDrive, 750Li and 750Li xDrive are all powered by a 4.4-liter V-8 engine and produces 400 horsepower and 450 pound-feet of torque. Of course, if you are someone that is just not satisfied unless you have the ultimate driving experience, the 760Li is for you. This premium trim gives you a 6.0-liter V-12 engine that boasts 535 horsepower and 550 pound-feet of torque. This blows many so-called sports cars away!
. Four-wheel drive is standard with choice 7 Series models by default, and is an option on other models. This four-wheel system allows the wheels of this car to be controlled independently. You will be able to turn the rear wheels the opposite direction of the ones in-front up to 35mph. The gas mileage on cars with this option isn't spectacular, but so is to be expected of a large luxury sedan. A key feature that BMW has implemented into its new 7 Series Sedan is the inclusion of a flap in the grille, which helps remove drag by removing unnecessary airflow.
BMW has managed to shave quite a few pounds of the 2012 7 Series Sedan, thanks to the extensive use of aluminum in the car's exterior as well as its internal parts. The car weighs 120 pounds less, even though it car carries more equipment and houses more features than last year's version. The new 7 Series also touts a new feature called 'IMS' which is essentially a chassis management system that gives users a range of settings and modes, including Normal, Sport, Sport Plus and Comfort. The afore mentioned modes can manipulate settings in regards to handling (steering effort), the Stability Control System, Transmission settings (gear change speed) and can also alter the shock settings for the car. Isn't it nice to know that the nice people at BMW care so much about how much we enjoy their vehicle?
Used 2012 BMW 7 Series Sedan Images
More BMW 7 Series Sedan Images
BMW Sedans, All BMW Cars, All Sedans
Used 2012 BMW 7 Series Sedan User Reviews
All BMW 7 Series Sedan User Reviews
Juma's Review:
August 7, 2012, 5:57 am
The only real BMW is E34 Wagon, other and even new ones are the most Rubbish quality cars ever made on pnleat earth with tons...
Sean's Review:
December 6, 2011, 3:31 am
I love my Grand Vitara. I shopped numerous compact SUVs and other similar vehicles. But the GV won me over with it's fine interior, comfortable...
Used 2012 BMW 7 Series Sedan - Write a Review


Many were happy to see that the Banner Saga Trilogy was getting a physical release on Switch. Now we have some news to bring the mood down a bit. According to the game's cover art, it looks like the retail edition will still require you to download some content to get the full game. We're not quite sure what the required file size is right now, but those details should surface soon.
Also a bit of a bummer, we see that the release date listed on Amazon is Sept. 21st, 2018. The press release for the physical launch said the collection would be out this Summer. With the last day of Summer coming in at Sept. 22nd, this release is going to make it just under the wire.
Thanks to Traskin7 for the heads up!
What a ******* joke! I was only talking about this the other day and how I hoped this wouldn't happen.
They won't even use a 16GB cartridge. I explained that the first game was 3.1GB in size and that the sequel was 4.5GB. That would mean that the 3rd game is over 8.4GB in order for it not to fit on a 16GB cartridge. I could be wrong but I very much doubt that's the case. The Switch has regressed from using a cheap, affordable, readily available 25GB medium on Wii U to where some companies are hesitant to use even an 8GB cartridge(Capcom and Mega Man spring to mind). Chances are they'll use an 8GB cartridge here for the first 2 games with the 3rd as a download. It defeats the whole purpose of buying a physical game.
bummer I was looking forward to this now I have to pass on it.
I'm pretty sure the reason for this along with Megaman is not the cost of 16GB carts (as other third party games do use them) but the cost of programming a game select screen. Yes it is still lazy. The Megaman Collection was split onto 2 discs on PS4 despite they fall well below a 50GB blu ray. The only difference with switch is the cost of manufacturing multiple carts is a lot more.
That's unlikely to be the reason as they'll probably put 2 of the games on the cartridge, and if they can do 2 then 3 wouldn't be a problem. Capcom wouldn't even use a 4GB cartridge for the Mega Man Collection games. Capcom have published very little physically in Europe on Switch. Only a small handful of companies have used 16GB cartridges. This is yet another game whose physical release is botched on Switch, plus that manky white banner on the box art. This was never an issue on Wii U. You're supposed to progress with time, instead cartridges are more expensive and a result realistically hold significantly less data. You could go into other issues like discs can be scratchec or that the tiny Switch cartridges can be easily lost.
Cartridges are more resistant than discs and avoid long loading times.
And discs just don't go well with handhelds anyway.
Like all other media, just go digital instead of physical. Problems solved!
I never understood this. How could it cost less to print two discs instead of making a freakin' select screen?!
Can't they find a better way to show this than their awful cover ruining white banner? I hate that more than requiring a digital download.
Me: Why would a 2d trilogy be that big for us to download the remaining data from the eshop?
The better solution would be to use a bigger card OR split it in two releases. A 1+2 compilation and the thrid as a single release.
So it's a no buy for me. I wait, maybe we will get it without a needed download.
I'm sad because i was looking forward to that games.
Let's be honest. Nobody here was going to be buying this game anyway. What is it? Some sort of guide to LARPing?
Why can't they just sell it as a "Gold" Edition for more money in store if it THAT expensive to use bigger carts?
IF Ubisoft can sell games for over $60 in store, why can't Gearbox?


text:
Egernia douglasi är en ödleart som beskrevs av  Ludwig Glauert 1956. Egernia douglasi ingår i släktet Egernia och familjen skinkar. Inga underarter finns listade i Catalogue of Life.

Källor

Skinkar
douglasi


text:
Johnson & Johnson Settles Opioid Suit in Ohio
With a federal demo pending, the pharmaceutical big Johnson & Johnson agreed Wednesday to spend two Ohio counties much more than $20 million for its job in the ongoing opioid crisis.
The settlement will come on the heels of a $572 million settlement the company was ordered to shell out New Brunswick, N.J., for marketing opioids in the point out, the Involved Press documented.
The federal lawsuit is scheduled to begin in fewer than three weeks, and four corporations have already settled. But companies are nevertheless going through 2,000 lawsuits for their part in the opioid epidemic.
In the Ohio settlement, Johnson & Johnson's subsidiary Janssen Pharmaceutical agrees to pay Cuyahoga and Summit counties $10 million without having admitting liability. The settlement also phone calls for the company to fork out $5 million in lawful fees and give $5.4 million to nonprofits that struggle the epidemic in northeastern Ohio, the AP reported.
Drugmakers Endo, Allergan and Mallinckrodt have also settled with these Ohio counties. Purdue Pharma has built a preliminary settlement to go over all its lawsuits, but 50 percent the states associated say they will oppose the settlement in individual bankruptcy court.
WebMD Information from HealthDay&#13
Copyright © 2013-2018 HealthDay. All rights reserved.&#13
County Delays Georgia Sterigenics Reopening
Misinformation Crusader: Writing About Mental Illness


text:
Test flight of stealth fighter held by China
6:03 am on 12 January 2011
China has carried out its first test flight of a prototype stealth fighter jet.
US Defence Secretary Robert Gates says the test flight was confirmed to him by President Hu Jintao during a meeting in Beijing.
The 15-minute flight took place on Tuesday in Chengdu. Images of the aircraft have appeared on several Chinese websites.
Mr Hu said that the flight had not been timed to coincide with the visit by Mr Gates.
The BBC reports the United States is currently the only nation with a fully operational stealth plane.
But both Russia and China are known to be working on prototypes of stealth fighters, which are invisible to radar.
China says it expects the stealth plane to be operational some time between 2017 - 2019.
Earlier this month the Pentagon played down concerns over the fighter.
China's official military budget quadrupled between 1999 - 2009 as the country's economy grew. In 2010 it was $US78 billion.
The BBC reports the US defence budget is just over $US700 billion.


Who the F#@k is Tank Garage Winery??
Tank Garage Winery is pushing the limits and taking risks. They want to be different and that makes them one of the best. They take it all to the next level; effortlessly encapsulating Moonshot Thinking since 2014.


Let's start with a bit of background before we get to the present. Onur Kerey is a very sweet boy who contacted Lingoing a while back when he heard of our services through friends. Working as a Uber driver attracted him to us and that is when he started the whole process!
'Hi i'm Onur welcome to my Uber 🙂 I'm Deaf so if you need to tell me something, please text me or when we've stopped you can write it in the notepad to show me.
The message that Onur has in his car from the time he started driving! A passenger came across this and in minutes it went viral on social media!
Onur's journey with us has been magnficient and to see him reach such heights in such little time has been an honour for our company.
SeeHear reached out to Onur and asked him if he would share his experience as an Uber driver, and of course Onur said yes!
The SeeHear team came to Lingoing and along with Onur we filmed a whole segment with their talented production crew. Onur was filmed in his element doing what he does best, driving as an Uber driver! Onur loved being the centre of attention and showing the world that Deafness has no barriers if you work hard enough to get rid of them.
If you work hard enough and get the right support, Onur with Lingoing behind him all the way have been a force to be reckoned with and have given him the support to go through the process of getting to where he is today and it has truly been a proud moment for us to see him being recognised. This would not have been possible without his determination to achieve his dreams!
Deafness has always been a very taboo subject and in some places is still that, but we as a company are doing our best to overcome this and show people that Deafness is not a barrier and that Deaf people can achieve just as much as the next Hearing person.
Don't let anyone tell you that you CAN'T do anything, because nothing is impossible. Onur has shown us that a little bit of hard work and an excellent support system can make anything possible.


G2R IT Company Trapped Escape is another point & click escape game developed by Games2Rule. In this game, you are working in an IT company. Due to some important work, you worked till late at night. After finishing your work, you decided to move. But unfortunately, someone locked you inside the office. You have to find the way to escape from there by finding useful objects, hints and by solving puzzles. Click on the objects to interact with and solve puzzles. Good luck and have fun!


text:
Q: Scrollspy not working i got this code, and no matter what i do, the scroll spy won't work, can anyone shed some light into it? thanks in advance!

menu

introdução

quem somos

o que queremos

coleta de dados

ferramentas

FAQ

introdução

Ad leggings keytar, brunch id art party dolor labore. Pitchfork yr enim lo-fi before they sold out qui. Tumblr farm-to-table bicycle rights whatever. Anim keffiyeh carles cardigan. Velit seitan mcsweeney's photo booth 3 wolf moon irure. Cosby sweater lomo jean shorts, williamsburg hoodie minim qui you probably haven't heard of them et cardigan trust fund culpa biodiesel wes anderson aesthetic. Nihil tattooed accusamus, cred irony biodiesel keffiyeh artisan ullamco consequat.

quem somos

Ad leggings keytar, brunch id art party dolor labore. Pitchfork yr enim lo-fi before they sold out qui. Tumblr farm-to-table bicycle rights whatever. Anim keffiyeh carles cardigan. Velit seitan mcsweeney's photo booth 3 wolf moon irure. Cosby sweater lomo jean shorts, williamsburg hoodie minim qui you probably haven't heard of them et cardigan trust fund culpa biodiesel wes anderson aesthetic. Nihil tattooed accusamus, cred irony biodiesel keffiyeh artisan ullamco consequat.

o que queremos

Ad leggings keytar, brunch id art party dolor labore. Pitchfork yr enim lo-fi before they sold out qui. Tumblr farm-to-table bicycle rights whatever. Anim keffiyeh carles cardigan. Velit seitan mcsweeney's photo booth 3 wolf moon irure. Cosby sweater lomo jean shorts, williamsburg hoodie minim qui you probably haven't heard of them et cardigan trust fund culpa biodiesel wes anderson aesthetic. Nihil tattooed accusamus, cred irony biodiesel keffiyeh artisan ullamco consequat.

coleta de dados

Ad leggings keytar, brunch id art party dolor labore. Pitchfork yr enim lo-fi before they sold out qui. Tumblr farm-to-table bicycle rights whatever. Anim keffiyeh carles cardigan. Velit seitan mcsweeney's photo booth 3 wolf moon irure. Cosby sweater lomo jean shorts, williamsburg hoodie minim qui you probably haven't heard of them et cardigan trust fund culpa biodiesel wes anderson aesthetic. Nihil tattooed accusamus, cred irony biodiesel keffiyeh artisan ullamco consequat.

ferramentas

Ad leggings keytar, brunch id art party dolor labore. Pitchfork yr enim lo-fi before they sold out qui. Tumblr farm-to-table bicycle rights whatever. Anim keffiyeh carles cardigan. Velit seitan mcsweeney's photo booth 3 wolf moon irure. Cosby sweater lomo jean shorts, williamsburg hoodie minim qui you probably haven't heard of them et cardigan trust fund culpa biodiesel wes anderson aesthetic. Nihil tattooed accusamus, cred irony biodiesel keffiyeh artisan ullamco consequat.

faq

Ad leggings keytar, brunch id art party dolor labore. Pitchfork yr enim lo-fi before they sold out qui. Tumblr farm-to-table bicycle rights whatever. Anim keffiyeh carles cardigan. Velit seitan mcsweeney's photo booth 3 wolf moon irure. Cosby sweater lomo jean shorts, williamsburg hoodie minim qui you probably haven't heard of them et cardigan trust fund culpa biodiesel wes anderson aesthetic. Nihil tattooed accusamus, cred irony biodiesel keffiyeh artisan ullamco consequat.

A: This is going to be tough to troubleshoot because you've only provided the markup for a div. Consider linking to a jsfiddle so we can get the complete picture.
When I was having issues with scrollspy it was because I had placed the js code up in the head instead of at the bottom of the body. Try placing

(or whatever version of BS you are using) just before closing the body tag.

redpajama_set_name: RedPajamaStackExchange


text:
Q: Use fully qualified table names for Database Projects, Unresolved reference error I have an existing very large database (several hundred tables) for which I am using a database project in VS 2017.  Consider a UDF as simple as
create function [MySchema].fn_Name --MySchema is located in MyDbName
(
   @num int
)
returns table
as return
select @num
inner join [MyDbName].dbo.MyTable mt
on mt.num = @num

I have a database project for MyDbName and several tables that are pertinent to this particular project, but those tables do NOT include MyTable.  If I want to use fully qualified names, how can I prevent the ambiguous reference error (SQL71561) for MyTable?  Do I have to explicitly add all of the tables that My procs and functions reference into my database project?

A: It is quite hard to understand your question exactly, but there could be several scenarios:

*

*If you have a single Database project (MyDbName), and both table and the UDF exists there, you should not be using fully qualified name, as you are referencing itself then it makes no sense. There could be a scenario where you have multiple instances of same structure database and one serves as master others as slave, but as I understand this is not the case then simply do not use database name in the statement.

*If dbo.MyTable exists in different Database project than UDF then you need to add database reference and use variable to define database. Read more. Database reference is added by referencing the .dacpac of other database project. Then your query would look something like this:
inner join [$(MyDbName)].dbo.MyTable mt

To answer your question: No, you don't have to add the tables themselves, but you need to add a reference to a projects which holds those tables.


Takeuchi, M., and Hatano, K. "Proposal of six new species in the genus Microbacterium and transfer of Flavobacterium marinotypicum ZoBell and Upham to the genus Microbacterium as Microbacterium maritypicum comb. nov." Int. J. Syst. Bacteriol. (1998) 48:973-982.


Eccentric, heartbreaking and hilarious- this is how Debra Adelaide's latest book of short stories is described on the cover by her Picador stable-mate, Jennifer Mills. The book is Zebra and Other Stories, a collection comprised of fourteen stories, divided into three sections: First, Second and Third. These sections refer to the point of view taken in the stories. Adelaide covers a lot of ground in just over three hundred pages.
Her opening story, "Dismembering" is told from the point of view of a woman who suddenly remembers helping her ex-husband to, at some point during their marriage, bury a body in their backyard. She remembers helping him to cut off the body's arms, legs and head in order to fit it better into the shallow grave they have dug, but oddly, not whether it was wearing long pants or shorts, or who it was, or why they have killed and buried him. Is this a true memory, or a symptom of some other panic? As the woman begins to purge her house of everything that is connected to her ex– right down to the dining room table, the chaos outside of her house, littered with things for her ex to take away, begins to reflect the chaos inside her mind. This story is a powerful note with which to open the collection, rooted in relatable, specific description of suburban life.
In fact, throughout the collection, it is the stories of suburbia that tend to shine– "Migraine for Beginners", a second person account of the medical back and forth one woman suffers in her quest to be free of the migraines that make her life unbearable, "No Hot Drinks in the Ward", a starkly honest account of a mother coming to terms with the cancer treatment of her child, and "The Recovery Position", in which the protagonist must reflect on the way their flaws has torn apart the family that they took for granted.
But, the book is not all suburban interiors. Zebra is a collection which tackles bigger issues as well, with stories such as "The Master Shavers' Association of Paradise" and "Welcome to Country" attempting to comment on the issues that run parallel to the lives of these other characters but often go unremarked on. "The Master Shavers' Association of Paradise", for example, is a heartbreaking account of life in detention. told again in second person, Adelaide puts the reader in the shoes of a man who was an apprentice Barber back home and who has attempted to hold on to some fragments of his dignity, and help those around him, by helping the men in the camp with him shave their faces. The telling of this story is cleverly done, as Adelaide slowly introduces clues that this detention camp is not in some far flung country, but off-shore of Australia, and when the reader realises that they are not reading some historical account, or some dystopian future, the impact is powerful. It is perhaps a shame that this particular piece had been buried so far into the middle of the book.
While not all of the stories in the book strike exactly the chords that they seem to be reaching for, many are almost there– "Festive Food for the Whole Family" is highly relatable and enjoyable, but perhaps the lead is buried by the humourous descriptions of the woman at the heart of the piece trying to make sure she caters for all of the various picky eaters, vegans, gluten free, fruitarian, sugar free, etc… guests at her Christmas dinner. Likewise, the story "Carry Your Heart", in which a lonely man and woman find that spark that could be the beginning of love in a bookshop and bond over poetry and martinis, feels unfinished and almost unbelievable in its fairy tale-like randomness.
The title story, "Zebra" is more of a novella than a short story, and I have yet to make up my mind yet whether it was wonderful or a little too weird. In it, an unorthodox female Prime Minister is sent a zebra by the owner of a zoo that is closing down on the other side of the world. Meanwhile, she must contend with an outspoken misogynistic neighbour (though his hatred of women is not actually dealt with even after it is described) and the burgeoning romance that may or may not be feasible between herself and her assistant. The zebra itself is extremely interesting, but doesn't play all that much of a role in the action of the story.
Zebra and Other Stories is a varied collection of stories that showcases the skill of its author across a range of short story approaches and styles. While not every piece resonated with this reviewer, I predict that it will delight all those short story readers across this country, and I do recommend that you give it a read, if only for those stories that really sing.
Zebra and Other Stories is published by Picador and is available in Australia via Pan Macmillan.


text:
Q: HTML table with custom css design What is the proper way to create the table with HTML and CSS like in the image below?
I am struggling with this task for hours now...
The problem is that I don't know how to organize row in the table to have layout like in the image below, all items should be in one row, but I have managed to have all in the separate row.
HTML:

            Order

            Operation

            Times

            Quantities

            Date

          Kamera

            PRODUCTION

          7:85
          GOOD
          26.06.2018.

          Kaciga
          Undefined
          7
          SCRAP
          26.06.2018.

          Ventil
          Planned
          11
          REWORK
          26.06.2018.

          13
          UnPlanned
          15
          Destroyed
          26.06.2018.

CSS:
.bottom-border { border-bottom: solid 1px black; }
.testTable{
    font-family: Arial, Helvetica, sans-serif;
        width:100%;
        border-collapse:collapse;
    }
    /* Define the default color for all the table rows */
.testTable tr{
        background: #f7f6f6;
    }
    /* Define the hover highlight color for the table row */
.testTable tr:hover {
          background-color: #6d7272;
}

Thank you

A: To provide a slightly more constructive answer, for you to use as a starter for 10. You can utilise CSS3 :nth selectors.
For example:
Selecting odd and even rows:
tr:nth-child(even)
tr:nth-child(odd)

Selecting the first two rows:
tr:nth-child(-n+2)

Read more about nth-child()


We have always been aware that to carry out MatatArt activities would have been useful to equip our vehicle with a solar system…and this week we finally made it happen!
Ital Trade Power Solutions has successfully installed a solar system on our matatu.
The system is composed by a solar panel on the roof and a battery and inverter in the interior furniture.
Thanks to this system, we will be able to use the computers, the sound system, the projector, etc.
In addition to this, we will also help the communities with a source of energy where electricity is missing.
Thank you so much to Andrea Marinelli who made this innovation possible with his experience and professionalism.


Home › Category › Economics › Accounting Basics - Where did Accounting Come From?
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There is a "download video" link in the menu to the right of every video.
I CAN'T DOWNLOAD IT PLEASE TELL ME HOW I CAN DOWNLOAD?


text:
Online Exclusives / July 26, 2021
Britney Spears Hires Rosengart '87
Top entertainment attorney to help pop star fight conservatorship.
By Vicki Sanders
What do Sean Penn, Winona Ryder, Steven Spielberg, Eddie Vedder, and Julia Louis-Dreyfus have in common? Boston College Law School's Mathew Rosengart '87, a Greenberg Traurig attorney whom Penn describes as a "tough as nails streetfighter with a big brain and bigger principles."
In July, that "big brain" added another A-list client, Britney Spears, to his roster. The pop star selected Rosengart to replace the court-appointed lawyer who had represented her since 2008, when a conservatorship was established to govern her financial and personal life.
Back in the 1980s, Boston College Law School Professor Mark Brodin made an astute selection of his own, observing that Rosengart was a student with great potential. Brodin is pleased to confirm that his instincts were correct, saying of Rosengart today, "He's exceeded my expectations."
This month, Rosengart was hired to help Spears end her conservatorship, which Spears contends has become "an oppressive and controlling tool against her."
The first step toward that goal is removing her father, James P. Spears, from his position of authority over her as a co-conservator. The Los Angeles Times reported on Rosengart's intentions July 19, when he spoke outside L.A.'s Stanley Mosk Courthouse. "My firm and I are moving aggressively and expeditiously to file a petition to remove Jamie Spears unless he resigns first," he said. That effort became official in a filing on July 26. Rosengart has also informed the court that that he is likely to file paperwork to terminate the conservatorship altogether.
Rosengart is well-versed in the ways of the entertainment industry, having won numerous legal battles involving movie, music, and sports luminaries. Among his victories are a $14 million trial verdict for hedge fund Sandton Capital against Gold Circle Films (Pitch Perfect, My Big Fat Wedding), a defamation lawsuit for Sean Penn, and a $6 million "cutting rights" case for Academy Award winner Lonergan over his film Margaret starring Matt Damon.
After graduating from BC Law, Rosengart clerked for Justice David Souter on the New Hampshire Supreme Court and was a Supervisory Assistant US Attorney and Justice Department Trial Attorney.
His last boss at the Justice Department, Criminal Division, and now federal US District Judge Robert J. Conrad, described Rosengart's character and work ethic, as exemplified in his final case at the DOJ. "Matt Rosengart is one of the sharpest lawyers I've ever met at the Department of Justice. During our tenure there on AG Janet Reno's Campaign Financing Task Force, he helped secure a felony conviction and the largest campaign finance fine ever," Conrad said, referring to US v. James Riady. "His judgment is impeccable."
Rosengart's name is frequently included in top lawyer lists, including those compiled by the Hollywood Reporter and Variety. Recently, he was recognized as a Leader of Influence and Top Litigator & Trial Attorney by the Los Angeles Business Journal, which honors "masters of their craft" who "go to the proverbial mat to fight for their clients" and are "the lawyers you want in your corner." Rosengart has been with Greenberg Traurig since 2011.
Photograph by Dennis Trantham
Read this case update in the New York Times.
alumniMathew Rosengart '87conservatorshipBritney SpearsGreenbergTraurigentertainment law
In Hindsight, the Coming Crisis Was Obvious


I started writing blog posts as a way of note-taking and internalizing what I was learning while reading my Science of Good Cooking book. I first tried writing my thoughts down on paper, but that quickly became illegible short hand and incomplete thoughts. By posting here, it forced me to write in complete sentences and truly reflect on what I learned.
I've since expanded beyond cooking posts and also now share my photography explorations. I've always been interested in photography and started taking classes to a couple years ago. I shoot with a sony alpha 6500, but still use my Canon rebel from time to time.
I love the ability of a photograph to stop time. To highlight a moment in a way that you can't appreciate in the speed of the moment. It can capture something very small that would be otherwise missed, and it can allow you to relive a large moment vividly. I've also come to love how I look at my surroundings with a metaphorical photography lens.
I have developed a deep respect for food in recent years. It is in meals that we can look back, to honoring our ancestry or revisit fond memories. Food can also push us to explore the unchartered, experience new sensations, and challenges our expectations. Eating a meal with others has a unique ability to bring you together, but I've also found that there is great meditation and joy to be had in preparing and eating a meal alone.


KT12 news, reviews and local events in KT12 areas including Hersham, Hersham North, Hersham South, and communities in KT12. Are these places the most relevant to this postcode? Let us know!
Find a Local Business Get the KT12 Newsletter!


Personalise a case for the LG K10 (2016) here! Upload your favourite images from your computer or social media for the ultimate customised phone case. You can even add your own text, quotes or lyrics to make it even more unique. If you order on workdays before 4 PM, you will enjoy the fastest shipping possible that we never charge for.
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We are able to ship anywhere in the world so personalise your own phone case for the LG K10 and within a few days you will be the proud owner of personalised protection for your LG smartphone.


President of Maharashtra Congress Committee, Ashok Chavan said that he will be filing his nomination today. He said, "We will win. Congress president has given me responsibility so I will contest." When asked about Prime Minister Narendra Modi's wave in country, Chavan said that there is no Modi wave in Maharashtra.


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text:
Q: parsing wikipedia page content I'm looking for a library to parse html pages, specifically wikipedia articles for example: http://en.wikipedia.org/wiki/Railgun, I want to extract the article's text and images (full scale or original image not the thumb).
Is there an html parser out there ?
I would prefer not to use the wikimedia api since I can't seem to figure out how to extract an article's text and the fullsize images with them.
Thanks and sorry for my english.
EDIT: I forgot to say that the ending result should be valid html
EDIT: I got the json string with this: https://en.wikipedia.org/w/api.php?action=parse&pageid=218930&prop=text&format=json so now I need to parse the json.
I know that in javascript I can do something like this:
var pageHTML = JSON.parse("the json string").parse.text["*"];
Since I know a bit of html/javascript and python, how can I make that http request and parse the json in python 3 ?

A: I think you should be able to get everything with the webapi,
https://www.mediawiki.org/wiki/API:Main_page
https://www.mediawiki.org/wiki/API:Parsing_wikitext
or you could download the whole wikipedia
https://meta.wikimedia.org/wiki/Research:Data

A: You can get the html from the api too, check the info on https://www.mediawiki.org/wiki/Extension:TextExtracts/pt, it's like this example: https://en.wikipedia.org/w/api.php?action=query&prop=extracts&exchars=175&titles=hello%20world .
Depending on how many pages you'll need, you should consider using public dumps if the volume of pages is high.

A: I made a Node.js module called wikipedia-to-json (written in javascript) that parses the HTML in wikipedia articles and gives you back structed JSON objects that describe the layout of the article in-order. (titles, paragraphs, images, lists, sub-titles...)
That might be useful if you just want to do a quick extractions of text and sections and understand how things look like.


text:
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British and Empire Armies 1939
Allies, Armed Forces, Armies, WW2 / October 1, 2020 October 2, 2020 / 7 Comments / By Kretaner / 1939, uk / 5 minutes of reading
The British Army and Empire Armies at the outbreak of the Second World War in September 1939 with organization, divisions, equipment and tanks.
The first troops of the BEF arrive in France in 1939.
British and Empire Armies
Australian Army
New Zealand Army
South African Army
British Forces total:
Troops of the 13/18th Royal Hussars are briefed by a lieutenant during an exercise near Arras in October 1939. The armored fighting vehicles were Vickers Mk VI light tanks.
On 2 September 1939, the day before England declared war on Germany, a small military advance party was flown to France, and soon after this the British Expeditionary Force (BEF) began crossing the Channel. By 27 September 152,031 soldiers, 21,424 vehicles and all the necessary weapons and stores had arrived in France.
A general headquarters was established near Arras while the British I Corps (1st and 2nd Divisions) took their places in the line along the Franco-Belgian frontier east of Lille. As agreed between the British and French governments the BEF came under overall command of the French Commander-in-Chief of the North East Theatre of Operations (General Georges), but the British commander, General Gort, reserved the right to appeal to the British Government if he thought any order given to him might imperil the BEF.
In 1939 the regular British Army had a strength of 227,000 men, inclusive of British troops in India and Burma, and was organized in:
2 regiments of the Household Cavalry
20 regiments of cavalry of the line
5 regiments of foot guards
64 regiments of infantry of the line
the Royal Artillery
the Royal Tank Regiment
auxiliary units and services.
This force was supported by the Territorial Army which had a strength of 204,000 officers and men organized in a field force of nine infantry divisions, one mobile division, two cavalry brigades, and an anti-aircraft corps of five divisions. During 1939, there was a massive increase in the size of the Territorial Army as it was put on a war footing and by August it numbered 428,000 men.
The need to protect the large Empire meant that large garrisons had also to be maintained by these troops.
Basic British Army units:
Infantry Division (motorized)
Armored Division
Total units 25 1
Infantry brigades 3 with 2,340 men and 99 officers each 2 battalions with 1,560 men and 66 officers together
Total men 13,600 ?
Artillery 72 (36 x 18 pounders, 36 x 4.5inch Howitzers or 18/25 pounders) ?
Anti-tank guns 75 (2 pounders or 25mm) ?
Tanks 28 light tanks, 44 Universal Bren carriers 104 cruiser tanks, 20 scout cars
Inventory of armored fighting vehicles in September 1939:
Armored fighting vehicles
Vickers Mk VI c. 894
Cruiser Tank Mk I (A9) 125
Cruiser Tank Mk III (A13) 65
Infantry tank Mk I, Matilda I (A13) 60
Infantry tank Mk II, (Matilda II, A12) 2
[amazon_link asins='1844864006,1841760528,1861269145′ template='ProductGrid' store='wwto-20′ marketplace='US' link_id='a98b4d0a-fe7b-11e6-bc07-0bd2fd568e39′]
The initial convoy carrying 7,400 troops of the 1st Canadian Division arrived in the Clyde on 17 December 1939, and by the end of February 1940 the Canadian Active Service Force in Britain numbered 1,066 officers and 22,238 other ranks. The troops were not fully trained for modern warfare, they lacked essential items of equipment such as steel helmets, and nearly all their heavy weapons were obsolescent.
The division worked through a crash training course at Adlershot in order to be ready for deployment in France as part of the 4th British Corps. The pace of events was such that the Canadians played only a limited covering role in France and were evacuated soon after landing in June 1940.
Indian troops on a training exercise.
The Indian Army had rather an anomalous position in that it could not be considered a colonial force, but it had a position very different to that of the Dominion armies. This unique status was reflected in the composition of the Indian brigades, in which one British battalion served alongside two Indian battalions. Brigade field artillery was normally British, but signals, service and ordnance units were Indian. Although the senior officers were British, the lower officers were a mix of Indians and British.
Units of this Army had begun to move to strategic points of the Empire before war was declared. On 3 August 1939 the 11th Indian Infantry Brigade left India for Egypt. It was followed on 23 September by the 5th Indian Brigade and a Divisional Headquarters and both brigades became part of the 4th Indian Division.
In September 1939 Australia's regular forces comprised only 3,000 men and a staff corps. The Volunteer Militia had been expanded to 80,000 partly trained men, but they were committed only to service at home.
Both New Zealand and Australia declared war on the 3rd September, but Australia's decision on her contribution to the Empire's war effort was complicated by doubts concerning Japan's intentions.
At least the Government authorized a corps of three divisions (6th, 7th, 8th) with an establishment of 65,000 men for service abroad. But recruiting and training was discontinued until September 1940.
In 1930 compulsory military service had been suspended in New Zealand, and in 1939 the Army consisted of 10,364 voluntary territorial, 374 men in a Special Reserve and a Regular Force only 578 strong. Conscription was introduced in 1940, and by May there were 19,423 troops under arms.
The 4th New Zealand Infantry Brigade, the first echelon, 6,529 strong, of the 2nd New Zealand Division bound for the Middle East, arrived at Suez on 12 February 1940.
When South Africa declared war on Germany on 6 September 1939 the forces available for mobilization included 3,350 men of the Permanent Force, 14,631 volunteers of the Active Citizen Force, and the 122,000 citizens enrolled in the Commandos and Defense Rifle Associations. The Union had no armored fighting units and there were only 71 field-guns and howitzers in service.
The first South African unit to reach Kenya arrived at Mombasa on 1 June 1940. On 13 August the 1st South African Division was formed. By the end of the year 27,000 South Africans were serving in East Africa in the 1st South African Division or as part of the 11th and 12th (natives) African Divisions.
897,000 men, 26 divisions, 1,146 tanks, about 2,600 guns
1,911 planes (747 fighters, 871 bombers)
15 capital ships, 6 aircraft carriers, 61 cruisers, 181 destroyers, 59 submarines
The divisions of the British and Empire Armies were normally organized and equipped in the same way.
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7 thoughts on "British and Empire Armies 1939"
Fred Reinhard
Let me see if the numbers are correct you have over 50 million allies soldiers against lets say, maybe 7 million Germans. Why did it take fours years to defeat Germany.
hellX
@Fred Reinhard
Because The British are Weak..Capitalists are Based on Money Not on Nationalism.
There were 13 million germans under arms, 6 million italians, another 4 million of collaborators, romanians etc, and 8 million japanese. That evens it out somewhat. Add to that geography and logistics and there you have it. So your numbers are deficient by some margin.
Eugene Higgins
An American 1950 information please almanac stated Britain mobilized 5,896,000 men in world war 2. Of which 3,788,000 served in the Amy, 1,185,00 served in the Royal Air Force and the Royal Navy at 923,000 men serving. So who do we believe? There are many different publications and they all state different facts about British world war military manpower and as we see this website info. So who is correct? I guess one has to just take there pick. Or maybe go in person to Britain's ministry of defense and ask them.
Ethan Hall
The British Army was that size at the end of the war. This page is about the army size at the start of the war.
Ray Selfe
The last sentence in the Australian section is totally wrong – for example the 6th division was fighting the Italians in North Africa well before September 1940. No mention of the 9th division ( Tobruk, El Alamein and New Guinea ) in fact nothing about any combat at all!!? )
Kretaner
Thus page is just about the situation at the beginning of the war (as the headline should tell) – not for the Italian campaign from June 1940 !
Allied Armed Forces
British Army 1942
British Army in Italy
British Army in North-West Europe
British Army in the Mediterranean 1940
British Army in Western Europe 1940
British Army Southeast Asia
Chinese Air Force, Fleet, Communist Forces
Chinese Nationalist Army
Czech National Army in Exile
Danish Armed Forces
Deployment of Anglo-American forces 1942
Deployment of Red Army 1942
Dutch Armed Forces
Fleets 1939
Free French Army
French Armed Forces 1939
Greek Armed Forces 1940-41
Military performance
Norwegian Armed Forces 1940
Performance on the Russian Front
Performance on the Western Front
Polish Armed Forces
Polish Armed Forces in Exile
RAF Squadrons 1942
RAF Squadrons in May 1940
RAF Squadrons in September 1939
Red Air Force and Navy 1939
Red Air Force and Navy 1941-1942
Red Army 1939
Red Army 1943-45
Red Army Uniforms
Royal Air Force on Eagle Day
US Army Air Force at the beginning of WW2
US Army at the beginning of WW2
US Army North-West Europe
US Forces Pacific
US Navy in late 1941
US Uniforms
Yugoslavia Armed Forces
Supremacy 1914 (new)
World War Keywords
1914 1915 1916 1917 1918 1939 1940 1941 1942 1943 1944 1945 battleship britain fighter-bomber france germany heavy bomber heavy tank hitler italy japan kriegsmarine luftwaffe medium tank messerschmitt mg norway pistol raf red air force red army rifle russia single-seat fighter smg ss strategic bomber subs supremacy 1914 uk usa usaaf war thunder wehrmacht
My name is Norman 'Kretaner' and since my childhood I am interested in history and strategy games. Later, I have learned programming and the development of computer games, and finally with the Internet, also web design. I'm in the fortunate position to combine all my interests with my work and to live on a place of my choice, on Crete. All information, figures, specifications and statistics used here had been compiled from a variety of sources and the large, over decades collected, library of the author about military history, WW2 and weapons.
Crete Tip:
KV heavy tank
Torpedo boat Spica class
Italian Air Force and Navy
Italian Army 1940
German Orders of Battle – Battle of France
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Prior to teeing off at Aviara Golf Club in Carlsbad, the starter informs you that you're about to enter an 18-hole botanical garden that also happens to be a golf course. The Hyatt resort course more than lives up to those lofty landscape expectations, providing impeccable natural accents to nearly every hole, but especially the par-3s.
Aviara gives numerous worthy candidates for a Highlight Hole feature, but I decided on No. 14 because it captures the essence and challenge of Aviara and because it's a hole you might miss if you go as a spectator for the LPGA tourney. The hole is at the most remote part of the course, but the setting is entirely worth the trip.
No. 14 plays up to 190 yards from the blue tees, but it played closer to the white-tee distance of 164 on Sunday. Save for the water on the right, this doesn't look like a tough tee shot. For one, look at the size of that green. As many greens are at Aviara, it's spacious, to say the least. But I can tell you from experience, it's one whale of a putt if you hit the green in a different zip code than the hole. You're primed for a three-putt.
And 190 off the tee is different story than 164. It's advisable to club up here as I've been told it plays long, though I've only played it twice. I'll keep the technicals brief on this one because playing the hole is only half the experience.
The green view is stunning. That pond is fed by three waterfalls, which become visible once you reach the green. And then you get an elevated view of the entire water feature when you tee off on No. 15. It's a magnificent little corner of the course and begins a terrific stretch of holes to the finish that provide a great balance of scenic and score-able, save for perhaps No. 18, the No. 2 handicap hole.
I botched 14 by pushing my tee shot right into thick rough near the water. After a tough chip, I two-putted to bogey a hole that played probably as easily as it can play that day. Short tee. Pin away from the water. Reasonable green speed. Oh, well.
I look forward to next time and wish you well on your first if you haven't played here yet. You should always stop to smell the flowers, as the say, when playing golf, but that's especially true at Aviara.
View of the shared water feature from the 15th tee box.
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