text:
\section{Introduction}
\label{section:intro}
\vspace{-.5em}
Neural models are powerful in part due to their ability to learn good representations of raw textual inputs, mitigating the need for extensive task-specific feature engineering \cite{Collobert:11}. However, a downside of learning from scratch is failing to capitalize on prior linguistic or semantic knowledge, often encoded in existing resources such as ontologies. Such prior knowledge can be particularly valuable when estimating highly flexible models. In this work, we address how to exploit known relationships between words when training neural models for NLP tasks.

We propose exploiting the \emph{feature-hashing} trick, originally proposed as a means of neural network compression \cite{chen2015}. Here we instead view the partial parameter sharing induced by feature hashing as a flexible mechanism for tying together network node weights that we believe to be similar \emph{a priori}. In effect, this acts as a regularizer that constrains the model to learn weights that agree with the domain knowledge codified in external resources like ontologies.

\begin{figure
\centering
\includegraphics [width=0.475\textwidth,]{weight_sharing_embedding.pdf}
\vspace{-2em}
\caption{An example of grouped partial weight sharing. Here there are two groups. We stochastically select embedding weights to be shared between words belonging to the same group(s).}
 \label{fig:weight_sharing_emb}
\vspace{-1em}
\end{figure}

More specifically, as external resources we use Brown clusters \cite{Brown:92}, WordNet \cite{miller:95} and the Unified Medical Language System (UMLS) \cite{bodenreider2004unified}. From these we derive groups of words with similar meaning. We then use feature hashing to share a subset of weights between the embeddings of words that belong to the same semantic group(s). This forces the model to respect prior domain knowledge, insofar as words similar under a given ontology are compelled to have similar embeddings.

Our contribution is a novel, simple and flexible method for injecting domain knowledge into neural models via stochastic weight sharing. Results on seven diverse classification tasks (three sentiment and four biomedical) show that our method consistently improves performance over (1) baselines that fail to capitalize on domain knowledge, and (2) an approach that uses \emph{retrofitting} \cite{faruqui2014retrofitting} as a preprocessing step to encode domain knowledge prior to training.

\section{Grouped Weight Sharing}
\label{section:methods}

We incorporate similarity relations codified in existing resources (here derived from Brown clusters, SentiWordNet and the UMLS) as prior knowledge in a Convolutional Neural Network (CNN).\footnote{The idea of sharing weights to reflect known similarity is general and could be applied with other neural architectures.} To achieve this we construct a shared embedding matrix such that words known \emph{a priori} to be similar are constrained to share some fraction of embedding weights.

Concretely, suppose we have $N$ groups of words derived from an external resource. Note that one could derive such groups in several ways; e.g., using the synsets in SentiWordNet. We denote groups by $\{g_1,g_2, ..., g_N\}$. Each group is associated with an embedding $\mathbf{g}_{g_i}$, which we initialize by averaging the pre-trained embeddings of each word in the group.

To exploit both grouped and independent word weights, we adopt a two-channel CNN model \cite{zhang2016mgnc}. The embedding matrix of the first channel is initialized with pre-trained word vectors. We denote this input by $\mathbf{E}^p\in \mathbb{R}^{V\times d}$ ($V$ is the vocabulary size and $d$ the dimension of the word embeddings). The second channel input matrix is initialized with our proposed weight-sharing embedding $\mathbf{E}^s\in \mathbb{R}^{V\times d}$. $\mathbf{E}^s$ is initialized by drawing from both $\mathbf{E}^p$ and the external resource following the process we describe below.

Given an input text sequence of length $l$, we construct sequence embedding representations  $\mathbf{W}^p\in \mathbb{R}^{l\times d}$ and $\mathbf{W}^s \in \mathbb{R}^{l\times d}$ using the corresponding embedding matrices. We then apply independent sets of linear convolution filters on these two matrices. Each filter will generate a feature map vector $\mathbf{v}\in\mathbb{R}^{l-h+1}$ ($h$ is the filter height).
We perform 1-max pooling over each $\mathbf{v}$, extracting one scalar per feature map. Finally, we concatenate scalars from all of the feature maps (from both channels) into a feature vector which is fed to a softmax function to predict the label (Figure \ref{fig:two-channel CNN}).

\begin{figure}
\centering
\includegraphics [width=0.425\textwidth,]{two_channel_CNN.pdf}
\vspace{-1.5em}
\caption{Proposed two-channel model. The first channel input is a standard pre-trained embedding matrix. The second channel receives a partially shared embedding matrix constructed using external linguistic resources.}
 \label{fig:two-channel CNN}
 \vspace{-1.1em}
\end{figure}

We initialize $\mathbf{E}^s$ as follows. Each row $\mathbf{e}_i\in \mathbb{R}^d$ of $\mathbf{E}_s$ is the embedding of word $i$. Words may belong to one or more groups. A mapping function $G(i)$ retrieves the groups that word $i$ belongs to, i.e., $G(i)$ returns a subset of $\{g_1,g_2, ..., g_N\}$, which we denote by $\{g^{(i)}_1,g^{(i)}_2 ... g^{(i)}_K\}$, where $K$ is the number of groups that contain word $i$.  To initialize $\mathbf{E}^s$, for each dimension $j$ of each word embedding $\mathbf{e}_i$, we use a hash function $h^i$ to map (hash) the index $j$ to one of the $K$ group IDs:
$h^i:\mathbb{N}\rightarrow \{g^{(i)}_1,g^{(i)}_2...g^{(i)}_K\}$.
Following \cite{weinberger2009feature,shi2009hash}, we use a second hash function $b$
  to remove bias induced by hashing. This is a signing function, i.e., it maps $(i,j)$ tuples to $\{+1,-1\}$

  \footnote{Empirically, we found that using this signing function does not affect performance.}.  We then set $\mathbf{e}_{i,j}$ to the product of $\mathbf{g}_{h^i(j),j}$ and $b(i, j)$. $h$ and $b$ are both approximately uniform hash functions.
\textbf{Algorithm} \ref{alg:ini} provides the full initialization procedure.

\begin{algorithm}
 \caption{Initialization of $\mathbf{E}^s$}
  \label{alg:ini}
  \begin{algorithmic}[1]
    \FOR{$i$ in $\{1,\dots,V\}$}
    \STATE $\{g_1^{(i)},g_2^{(i)}, \dots, g_K^{(i)}\}\coloneqq G(i)$.
      \FOR{$j \in \{1, \dots, d\}$}

       \STATE

       $\mathbf{e}_{i,j}\coloneqq \mathbf{g}_{h^i(j),j} \cdot b(i,j)$

      \ENDFOR
    \ENDFOR
  \end{algorithmic}
\end{algorithm}

For illustration, consider Figure \ref{fig:weight_sharing_emb}.
Here $g_1$ contains three words: \emph{good}, \emph{nice} and \emph{amazing}, while $g_2$ has two words: \emph{good} and \emph{interesting}. The group embeddings $\mathbf{g}_{g_1}$, $\mathbf{g}_{g_2}$ are initialized as averages over the pre-trained embeddings of the words they comprise. Here, embedding parameters $\mathbf{e}_{1,1}$ and $\mathbf{e}_{2,1}$ are both mapped to $\mathbf{g}_{g_1,1}$, and thus share this value. Similarly, $\mathbf{e}_{1,3}$ and $\mathbf{e}_{2,3}$ will share value at $\mathbf{g}_{g_1,3}$. We have elided the second hash function $b$ from this figure for simplicity.

During training, we update $\mathbf{E}^p$ as usual using back-propagation \cite{RumelhartHintonWIlliams1986}. We update $\mathbf{E}^s$ and group embeddings $\mathbf{g}$ in a manner similar to \citeauthor{chen2015}\ \shortcite{chen2015}.
In the forward propagation before each training step (mini-batch), we derive the value of $\mathbf{e}_{i,j}$ from $\mathbf{g}$:
\begin{equation}
\label{eq:forward}
\mathbf{e}_{i,j}\coloneqq \mathbf{g}_{h^i(j),j} * b(i,j)
\end{equation}

We use this newly updated $\mathbf{e}_{i,j}$ to perform forward propagation in the CNN.

During backward propagation, we first compute the gradient of $\mathbf{E}^s$, and then we use this to derive the gradient w.r.t $\mathbf{g}s$. To do this, for each dimension $j$ in $\mathbf{g}_{g_k}$, we aggregate the gradients w.r.t $\mathbf{E}^s$ whose elements are mapped to this dimension:
\begin{equation}
\label{eq:backward}
\nabla \mathbf{g}_{g_k,j} \coloneqq  \sum _{(i,j)}\nabla \mathbf{E}^s_{i,j} \cdot \delta_{h^i(j)=g_k} \cdot b(i,j)
\end{equation}
where $\delta_{h^i(j)=g_k}=1$ when $h^i(j)=g_k$, and 0 otherwise. Each training step involves executing Equations $\ref{eq:forward}$ and $\ref{eq:backward}$. Once the shared gradient is calculated, gradient descent proceeds as usual. We update all parameters aside from the shared weights in the standard way.

The number of parameters in our approach scales linearly with the number of channels. But the gradients can actually be back-propagated in a distributed way for each channel, since the convolutional  and embedding layers are independent across these. Thus training time scales approximately linearly with the number of parameters in one channel (if the gradient is back-propagated in a distributed way).

\section{Experimental Setup}
\subsection{Datasets}
We use three sentiment datasets: a movie review (\textbf{MR}) dataset \cite{Pang+Lee:05a}\footnote{\url{www.cs.cornell.edu/people/pabo/movie-review-data/}}; a customer review (\textbf{CR}) dataset \cite{hu2004mining}\footnote{\url{www.cs.uic.edu/\~liub/FBS/sentiment-analysis.html}}; and an opinion dataset (\textbf{MPQA}) \cite{wiebe2005annotating}\footnote{\url{mpqa.cs.pitt.edu/corpora/mpqa\_corpus/}}.

We also use four biomedical datasets, which concern \emph{systematic reviews}. The task here is to classify published articles describing clinical trials as \emph{relevant} or \emph{not} to a well-specified clinical question. Articles deemed relevant are included in the corresponding review, which is a synthesis of all pertinent evidence \cite{wallace2010semi}. We use data from reviews that concerned:
clopidogrel (CL) for cardiovascular conditions \cite{dahabreh2013testing}; biomarkers for assessing iron deficiency in anemia (AN) experienced by patients with kidney disease \cite{chung2012biomarkers}; statins (ST) \cite{cohen2006reducing}; and proton beam (PB) therapy \cite{proton}.

\begin{table*
\centering
\begin{tabular}{ c | c c c c }
 & \emph{total \#instances} & \emph{vocabulary size} & \emph{\#positive instances} & \emph{\#negative instances} \\
MR & 10662 & 18765 & 5331 & 5331 \\
CR & 3773 & 5340 & 2406 & 1367 \\
MPQA & 10604 & 6246 & 3311 & 7293  \\
AN & 5653 & 5554 & 653 & 5000 \\
CL & 8288 & 3684 & 768 & 7520 \\
ST & 3464 & 2965 & 173 & 3291 \\
PB & 4749 & 3086 & 243 & 4506  \\
\end{tabular}
\caption{Corpora statistics.}
\label{statistics}
\end{table*}

\subsection{Implementation Details and Baselines}

We use SentiWordNet \cite{baccianella2010sentiwordnet}\footnote{\url{sentiwordnet.isti.cnr.it}} for the sentiment tasks.
SentiWordNet assigns to each synset of wordnet three sentiment scores: positivity, negativity and objectivity, constrained to sum to 1. We keep only the synsets with positivity or negativity scores greater than 0, i.e., we remove synsets deemed objective.
The synsets in SentiWordNet constitute our groups.
We also use the Brown clustering algorithm\footnote{\url{github.com/percyliang/brown-cluster}} on the three sentiment datasets. We generate 1000 clusters and treat each as a group.

For the biomedical datasets, we use the Medical Subject Headings (MeSH) terms\footnote{\url{www.nlm.nih.gov/bsd/disted/meshtutorial/}} attached to each abstract to classify them. Each MeSH term has a tree number indicating the path from the root in the UMLS. For example, `Alagille Syndrome' has tree number `C06.552.150.125'; periods denote tree splits, numbers are nodes. We induce groups comprising MeSH terms that share the same first three parent nodes, e.g., all terms with `C06.552.150' as their tree number prefix constitute one group.

We compare our approach to several baselines. All use pre-trained embeddings to initialize $\mathbf{E}^p$, but we explore several approaches to exploiting $\mathbf{E}^s$: (1) randomly initialize $\mathbf{E}^s$; (2)
initialize $\mathbf{E}^s$ to reflect the group embedding $\mathbf{g}$, but do not share weights during the training process, i.e., do not constrain their weights to be equal when we perform back-propagation;
(3) use linguistic resources to \emph{retro-fit} \cite{faruqui2014retrofitting} the pre-trained embeddings, and use these to initialize $\mathbf{E}^s$.
For \emph{retro-fitting}, we first construct a graph derived from SentiWordNet. Then we run belief-propagation on the graph to encourage linked words to have similar vectors. This is a pre-processing step only; we do not impose weight sharing constraints during training

For the sentiment datasets we use three filter heights (3,4,5) for each of the two CNN channels. For the biomedical datasets, we use only one filter height (1), because the inputs are unstructured MeSH terms.\footnote{For this work we are ignoring title and abstract texts.} In both cases we use 100 filters of each unique height. For the sentiment datasets, we use Google word2vec \cite{mikolov2013efficient}\footnote{\url{code.google.com/archive/p/word2vec/}} to initialize $\mathbf{E}^p$. For the biomedical datasets, we use word2vec trained on biomedical texts \cite{moen2013distributional}\footnote{\url{bio.nlplab.org/}} to initialize $\mathbf{E}^p$.
For parameter estimation, we use Adadelta \cite{Zeiler12adadelta:an}.
Because the biomedical datasets are imbalanced, we use downsampling ~\cite{zhang2016rationale,zhang2015sensitivity} to effectively train on balanced subsets of the data.

We developed our approach using the MR sentiment dataset, tuning our approach to constructing groups from the available resources -- experiments on other sentiment datasets were run after we finalized the model and hyperparameters. Similarly, we used the anemia (AN) review as a development set for the biomedical tasks, especially w.r.t.\ constructing groups from MeSH terms using UMLS.

\section{Results}
\label{section:results}
We replicate each experiment five times (each is a 10-fold cross validation), and report the mean (min, max) across these replications. Results on the sentiment and biomedical corpora in are presented in Tables \ref{table::senti} and \ref{table::bio}, respectively.\footnote{Sentiment task results are not directly comparable to prior work due to different preprocessing steps.} These exploit different external resources to induce the word groupings that in turn inform weight sharing. We report AUC for the biomedical datasets because these are highly imbalanced (see Table \ref{statistics}).

Our method
improves performance compared to all relevant baselines (including an approach that also exploits external knowledge via retrofitting) in six of seven cases. Informing weight \emph{initialization} using external resources improves performance independently, but additional gains are realized by also enforcing sharing during training.

\begin{table*
\centering
\begin{tabular}{ c | c c c }
 \emph{Method} & \emph{MR} & \emph{CR} & \emph{MPQA} \\

  p only & 81.02 (80.84,81.24) & 84.34 (84.21,84.53) & 89.41 (89.22,89.58)  \\

 p + r & 81.25 (81.19,81.32) & 84.33 (84.24,84.38) & 89.63 (89.58,89.71)\\

 p + retro & 81.35 (81.23,81.51) & 84.16 (84.09,84.28) & 89.61 (89.48,89.77) \\

 p + S (no sharing) & 81.39 (81.32,81.43) & 84.13 (84.06,84.21) & 89.71 (89.67,89.75) \\

 p + B (no sharing) & 81.50 (81.29,81.63) & 84.60 (84.53,84.66) & 89.57 (89.52,89.61) \\

 p + S (sharing) & 81.69 (81.60,81.78) & 84.34 (84.24,84.43) &  89.84 (89.74,90.13)\\

 p + B (sharing) & \textbf{81.83 (81.80,81.87)} & \textbf{84.68 (84.64,84.72)} & \textbf{89.97 (89.74,90.13)} \\
\end{tabular}
\caption{Accuracy mean (min, max) on sentiment datasets.  `p': channel initialized with the pre-trained embeddings $\mathbf{E}^p$. `r': channel randomly initialized.
`retro': initialized with retofitted embeddings.
`S/B (no sharing)': channel initialized with $\mathbf{E}^s$ (using SentiWordNet or Brown clusters), but weights are not shared during training.
`S/B (sharing)': proposed weight-sharing method.}
\label{table::senti}
\end{table*}

\begin{table*
\centering
\begin{tabular}{ c | c c c c}
\emph{Method} & \emph{AN} & \emph{CL} & \emph{ST} & \emph{PB} \\
p only & 86.63 (86.57,86.67) & 88.73 (88.51,89.00) & 67.15 (66.00, 67.91) & 90.11 (89.46, 91.03)\\
p + r & 85.67 (85.46,85.95) & 88.87 (88.56,89.03) & 67.72 (67.65,67.86) & 90.12 (89.87,90.47) \\
p + retro & 86.46 (86.32,86.65) & 89.27 (88.89,90.01) & \textbf{67.78 (67.56,68.00)} & 90.07 (89.92,90.20) \\
p + U  & 86.60 (86.32,87.01) & 88.93 (88.67,89.13) & 67.78 (67.71,67.85) & 90.23 (89.84,90.47) \\
p + U(s)  & \textbf{87.15 (87.00,87.29)} & \textbf{89.29 (89.09,89.51)} & 67.73 (67.58,67.88) &\textbf{90.99 (90.46,91.59)}  \\
\end{tabular}
\caption{AUC mean (min, max) on the biomedical datasets. Abbreviations are as in Table \ref{table::senti}, except here the external resource is the UMLS MeSH ontology (`U').`U(s)' is the proposed weight sharing method utilizing ULMS.}
\label{table::bio}
\end{table*}

We note that our aim here is not necessarily to achieve state-of-art results on any given dataset, but rather to evaluate the proposed method for incorporating external linguistic resources into neural models via weight sharing. We have therefore compared to baselines that enable us to assess this.

\section{Related Work}
\label{section:related-work}

\noindent {\bf Neural Models for NLP}. Recently there has been enormous interest in neural models for NLP generally \cite{Collobert:11,goldberg2016primer}. Most relevant to this work, simple CNN based models (which we have built on here) have proven extremely effective for text categorization \cite{kim2014convolutional,zhang2015sensitivity}.

\vspace{0.2em}
\noindent {\bf Exploiting Linguistic Resources}. A potential drawback to learning from scratch in end-to-end neural models is a failure to capitalize on existing knowledge sources. There have been efforts to exploit such resources specifically to induce better word vectors \cite{yu2014improving,faruqui2014retrofitting,yu2016retrofitting,xu2014rc}. But these models do not attempt to exploit external resources jointly during training for a particular downstream task (which uses word embeddings as inputs), as we do here.

Past work on sparse linear models has shown the potential of exploiting linguistic knowledge in statistical NLP models. For example, \citeauthor{Yogatama2014Linguistic}\ \shortcite{Yogatama2014Linguistic} used external resources to inform structured, grouped regularization of log-linear text classification models, yielding improvements over standard regularization approaches. Elsewhere,
\citeauthor{doshi2014graph}\ \shortcite{doshi2014graph} proposed a variant of LDA that exploits \emph{a priori} known tree-structured relations between tokens (e.g., derived from the UMLS) in topic modeling.

\vspace{.2em}
\noindent {\bf Weight-sharing in NNs}. Recent work has considered stochastically sharing weights in neural models. Notably, \citeauthor{chen2015}\ \shortcite{chen2015}.
 proposed randomly sharing weights in neural networks.
Elsewhere, \citeauthor{han2015deep}\ \shortcite{han2015deep} proposed quantized weight sharing as an intermediate step in their deep compression model.
In these works, the primary motivation was \emph{model compression}, whereas here we view the hashing trick as a mechanism to encode domain knowledge.

\section{Conclusion}
We have proposed a novel method for incorporating prior semantic knowledge into neural models via stochastic weight sharing. We have showed it generally improves text classification performance vs.\  model variants which do not exploit external resources and vs.\ an approach based on retrofitting prior to training. In future work, we will investigate generalizing our approach beyond classification, and to inform weight sharing using other varieties and sources of linguistic knowledge.

{\small
~\\\noindent
{\bf Acknowledgements.} This work was made possible by NPRP grant
NPRP 7-1313-1-245 from the Qatar National Research Fund
(a member of Qatar Foundation). The statements made
herein are solely the responsibility of the authors.
}
\vspace{-1em}

redpajama_set_name: RedPajamaArXiv


text:
Dean Fauchet announces 2022 alumni honorees, distinguished friend of the engineering school
Tweet Business, education leaders to be honored as Vanderbilt School of Engineering Distinguished Alumni, Distinguished Friend
Philippe Fauchet, Bruce and Bridgitt Evans Dean of Engineering, has announced the 2022 members of the school's Academy of Distinguished Alumni, and a new member of the school's Circle of Distinguished Friends.
Morris Morgan III
An induction ceremony April 7, 2022, will honor alumni Jeffrey J. Rothschild, Corey E. Thomas, and Morris Morgan III. Morgan passed away unexpectedly Feb. 25 and his award will be accepted by his wife Carolyn Morgan, BA'69. Jonathan B. Perlin will be inducted into the Circle of Distinguished Friends.
The Distinguished Alumnus Award recognizes notable achievement, significant service and excellent character. The Distinguished Friends Award recognizes non-alumni whose professional, civic and philanthropic pursuits reflect the high standards and values associated with the school. Honorees are chosen by an awards committee that comprises the dean, faculty members and alumni representatives.
Jeffrey Rothschild
The newest members of the Academy and the Circle of Friends are "influencers" with tremendous impact, said Dean Fauchet. "They have broken barriers, built outstanding careers, and guided and shaped engineering education while enriching the lives of those in their communities and beyond."
Morris H. Morgan III, BE'69
Dr. Morris H. Morgan, III graduated from Vanderbilt at 19. He was the second African American to receive his Ph.D. in chemical engineering from Rensselaer Polytechnic Institute in 1978. After a successful research stint at General Electric, he returned to RPI and became the engineering school's first tenured African American professor. Read more >>
Corey Thomas
Jeffrey J. Rothschild, BA'77, MS'79
Jeff Rothschild has had a 40-year career as an entrepreneur, engineer, and technology investor. After studying psychology as an undergraduate in 1977, Jeff changed direction and got his master's degree in computer science in 1979. Read more >>
Corey E. Thomas, BE'98
Corey Thomas is the CEO of Rapid7, as well as the chairman of its board of directors. Corey received a B.E. in electrical engineering and computer science from Vanderbilt University and an MBA from Harvard Business School. Read more >>
Jonathan Perlin
Jonathan B. Perlin, M.D., Ph.D.
Jonathan Perlin became the seventh President and CEO of The Joint Commission on March 1, 2022. Previously, he served as President, Clinical Operations and Chief Medical Officer, HCA Healthcare. Read more >>
In 2003, Morgan delivered RPI's "Garnet D. Baltimore Lecture" in recognition of his impact on engineering education. Morris began his tenure at Hampton University in 1996 as a professor and Massey Chair of Environmental Engineering. He served for six years as the second dean of the HU School of Engineering and Technology. He secured funding for a NASA-funded Aero-Propulsion Center and a Virtual Parts Manufacturing Center and initiated the Computer Engineering degree program.
Upon returning to the HU faculty in 2004, he continued his research in designing hypersonic vehicle body structures, modeling boron nitride nano-material reactors and designing industrial spouted bed systems, a field in which he and the late Howard Littman garnered world-class prominence. In 2008, he was a Virginia Outstanding Scientist Award Candidate for his research contributions to fluid-particle systems.
Morgan received Vanderbilt's Legacy Award in 2015 as a pioneering African American degree recipient. He published 96 research articles, 6 book chapters, held 4 patents, and produced 12 STEM Masters and Ph.D. students.
In reverence to his parents, Morris always championed efforts at HU, RPI, Vanderbilt and beyond to encourage students to pursue advanced degrees. Two of his many success stories are his daughter Kristin, who earned a Ph.D. in biomedical engineering, and his son Eric, who earned his MBA.
Morris passed away unexpectedly on February 25, 2022. He is survived by his wife Carolyn Bradshaw Morgan, BA'69, daughter Kristin D. Morgan, son Eric A. Morgan and daughter-in-law Sarah Van Doren.
After leaving Vanderbilt, Rothschild worked briefly at Honeywell and Intel, before starting out as an entrepreneur. His first projects weren't necessarily successful, but they were all invaluable learning experiences.
Rothschild has co-founded two public companies: the storage software company Veritas Software, which reached nearly $2B in yearly revenue in the 1990s, and the online gaming company Mpath Interactive. Jeff joined Facebook as VP Infrastructure Engineering in 2005 and spent 10 years focused on the scalability and performance of the site.
Since leaving Facebook in 2015, Rothschild has been working as an investor and mentor to entrepreneurs and is on the board of Pure Storage and Scuba Analytics. He also serves as Vice-Chair of the Vanderbilt Board of Trust and is a member of the board of Stanford Health Care.
Rothschild's philanthropic and impact investment areas includes medical research, scholarships for disadvantaged students, open space preservation, a shoe company in Guatemala, and an ophthalmologic hospital and dairy cooperative in Kenya.
He and his wife Marieke reside with their three children in Palo Alto, CA.
In 2021, Thomas became a member of the Council on Foreign Relations and was appointed as a director of the Federal Reserve Bank of Boston. In 2020, Corey joined the Massachusetts Competitive Partnership as a director. In 2018, he was elected to the Cyber Threat Alliance (CTA) board of directors and the Massachusetts Cybersecurity Strategy Council.
Thomas also serves on the Blue Cross Blue Shield of Massachusetts board of directors, LPL Financials' board of directors, and Vanderbilt University's Board of Trust. He previously served on the U.S. Commerce Department's Digital Economy Board of Advisors.
Thomas has extensive experience leading technology companies to the next stage of growth and innovation. Prior to joining Rapid7, he was VP of marketing at Parallels, Inc., a virtualization technology company. He has served as group project manager of the Microsoft Server and Tools division, steering product planning for Microsoft's data platform, and as a consultant at Deloitte Consulting.
He and his wife LaQuanya Thomas reside in Auburndale, Massachusetts. They are the parents of Laila Marie Polk, a Vanderbilt College of Arts and Science student in the Class of 2025.
At HCA Healthcare, Dr. Perlin led clinicians, data scientists and researchers in developing a learning health system model for improving care at the system's 185 hospitals and 2,200 other locations. His team's work achieved national recognition for preventing elective pre-term deliveries, reducing maternal mortality, increasing sepsis survival, and developing public-private-academic partnerships for improving infection prevention and treating COVID.
Before joining HCA Healthcare, Perlin was Under Secretary for Health in the U.S. Department of Veterans Affairs, where he led the Veterans Health Administration to national prominence for clinical performance. Signal accomplishments included implementation of the first national electronic health record.
He is a MedPAC Commissioner, a Congressional Budget Office Health Advisor, immediate past chair the National Quality Forum and the VA Special Medical Advisory Group. As an elected member of the National Academy of Medicine, he has co-chaired action collaboratives on digital health, combatting opioids and climate change.
Perlin's board service includes, Meharry Medical College, Columbia University's Health Policy and Management program, and Vanderbilt University's School of Engineering. He maintains faculty appointments at Vanderbilt University as Clinical Professor of Medicine and Health Policy and at Virginia Commonwealth University as Adjunct Professor of Health Administration.
Perlin and his wife Donna reside in Nashville, Tennessee. They are the parents of Benjamin Perlin, BE'19, who is completing his graduate degree in neuroscience at Vanderbilt.
Twitter @VUEngineering
Posted on Friday, March 25, 2022 in Academy of Distinguished Alumni, Circle of Distinguished Friends, Corey Thomas, Jeffrey Rothschild, Jonathan Perlin, Morris Morgan III,News

redpajama_set_name: RedPajamaCommonCrawl


Residents of Lagos State saturday commended the State Government's decision to set up six viewing centres across the State to enable them watch the ongoing World Cup matches in Russia.
The State Governor, Mr. Akinwunmi Ambode, had last month promised to set up viewing centres in key locations that would afford residents opportunity to watch all the 64 World Cup matches live in a serene and secured environment.
The six centres currently up and running include Campos Mini Stadium Lagos Island; Teslim Balogun Stadium, Surulere; Abesan Estate in Alimosho; Naval Yard, Ajegunle; Bishop Aggrey School Mushin and Epe Recreation Centre in Epe.
Some residents who spoke on the development alluded to the fact that the present administration of Ambode was living up to its billing as an inclusive government that touches all sectors.
At the Campos Mini Stadium, residents who shortly after the thrilling Group B match between Portugal and Spain described the initiative as laudable and novel, adding that due to unstable electricity in some parts of Lagos Island, the Centre gave them the opportunity to watch the games.
For some other spectators at the Centre, it afforded them the opportunity of watching the World Cup matches in a relaxed mood with stable electricity.
Speaking on some of the benefits of the viewing centres, Chairman of the Lagos State Sports Commission, Mr. Kweku Tandoh said because football is a unifying activity that brings the people together, football lovers therefore see the government as one that touches other sectors such as sports.
He said creation of viewing centres by the State was also complementing various grassroots sports development championships and competitions that the administration of Ambode has solely sponsored, were added advantages to the numerous achievements of the Governor in other sectors of the Lagos economy.
Besides, Tandoh said the Government has made adequate provisions for medical coverage, adequate security, traffic control and general sanitation at all the viewing centres.
He also disclosed that a Public Liability Insurance Cover was also in place covering the six centres for the period of the World Cup.


text:
Medical Historical Library, Harvey Cushing / John Hay Whitney Medical Library
The Lewis Walpole Library
Oral History of American Music
Yale Center for British Art, Institutional Archives
Yale Center for British Art, Rare Books and Manuscripts
Yale Peabody Museum of Natural History
Yale University Arts Library
Yale University Divinity School Library
Yale University Music Library
United States. Department of Health, Education, and Welfare
Existence: May 4, 1980
Isidore Sydney Falk papers
Call Number: MS 1039
Overview: The papers consist of correspondence, professional files, research materials, writings, personal papers, and printed matter documenting Isidore Falk's career as an advocate of national health insurance and other programs related to public health. Of particular significance are the materials from his years with the Social Security Board (1936-1954), which document the campaign for government supported health insurance in the United States. Falk conducted public health and medical care surveys...
Found in: Manuscripts and Archives > Isidore Sydney Falk papers
More about 'United States. Department of Health, Education, and Welfare'
Names Forms
Also known by the following names:
D.H.E.W
DHEW
H.E.W
United States. Department of Health
United States. Department of Health, Education, and Security
United States. Department of Welfare
United States. Dept. of Health, Education, and Welfare
United States. Health, Education, and Welfare, Department of
United States. Miśrad ha-beri'ut, ḥinukh ṿe-saʻad
United States. Secretary of Health, Education, and Welfare
משרד הבריאות, חינוך וסעד בממשלת ארה״ב
Subject: Educators X
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Businesses and households are reeling under the weight of scarcity of diesel (AGO) and Kerosene (DPK) forcing businesses to either close down or look for alternative source of power supply.
Most households that use kerosene have resorted to using firewood but are also finding it difficult because even firewood is nowhere to be found.
One of the fallouts of the scarcity is that it has pushed the prices of the products beyond the reach of an average citizen.
A cold room dealer in Ogba, Lagos and managing director of Comfort Divine Ventures, Chioma Ezuma told SHIPS & PORTS DAILY that she closed her shop for six months because of the skyrocketing price of diesel.
"We use a diesel generator to power the freezers we have. Before now, what we do is that we use the generator to support the power supply from the Ikeja Disco. But suddenly everything turned down.
"I discovered that the light went away completely; sometimes for one week without blinking. We were hard hit because what we sell are perishable products. I called the staff and said what do we do that the business is threatened.
"Some of them suggested that we increase the price of the product to make up for the high price of diesel. I agreed. Every day we run the generator from morning to night to ensure the products do not perish. We were feeling the heat but we continued.
"But the generator started breaking down. We were spending money on the generator repairs. I noticed that the profit we make is what we use to repair the generator. To make the matter worse, diesel became scarce. To get it you have to go very far to get it and at very high price.
"After some months when the burden was becoming unbearable, I called the staff again and showed them the books. We had carried on for six months with no profit. Rather I was bringing money from other businesses and investing into the cold room business. On further examination, diesel which was N190.00 per litre when we started experiencing epileptic power supply rose to become N260.00. I sensed trouble and closed the business down," she declared.
Scattered all over the country are businesses that have closed down in similar manner. In Lagos SHIPS & PORTS DAILY noticed that a lot of dusts have covered most of the closed shops suggesting that they have closed business for a long time.
One of the most embarrassing things seen at petrol filling stations are lengthy queues of men, women and children lining up for kerosene. In some of the fillings stations at Agege area of Lagos, the queue will be so long that it will interfere with motorists coming to buy petrol.
On some Occasions, the people will queue for more than two hours only to discover that the kerosene has finished.
A woman who runs a restaurant in the area told SHIPS & PORTS DAILY that she cannot continue with her business because of the scarcity of kerosene and may consider going to the village to source for firewood.
"I use three kerosene stoves here to cook for people. I put them on at the same time. It makes the cooking faster so that by the time people start coming to ask for food it is ready.
"Now I am finding it difficult. I can only use one stove because I cannot find kerosene. Even when I find it, it is so costly that I cannot afford it. I cannot just increase the price of food like that. Who will eat it? I used to buy a litre of kerosene for N250. Suddenly the price jumped to N300 and from that to N500. At that price you cannot even find it.
"I thought about using gas and noticed that the price of gas is also high although better than kerosene but I don't have a cylinder nor a burner, so it will not help me," she said.
She said she has decided to be going to villages to look for firewood. Although the process is clumsy and time wasting, she said she does not want her children to drop out of school if she closes the food joint.
The continuous scarcity of diesel and kerosene has created problems for businesses and households such that except the federal government takes urgent steps to address the crisis, it may be create further problems in the polity.
For some months now, acute shortages of diesel and kerosene have become the trend, causing the prices to hit the roof.
In the case of kerosene, the challenge of scarcity has become a recurring decimal, occurring almost on a quarterly basis, without a solution in sight. From Lagos to Ibadan, Ilorin, Enugu, Owerri, Kano, Jos and Maiduguri, the complaints of acute shortage of kerosene is one of the headaches Nigerians are contending with.
A recent survey revealed that kerosene scarcity has crippled Calabar and its environs as the price of the commodity now ranges between N450 and N500 per litre.
The survey showed that the product was not available in any filling station in the Cross River State capital and its suburbs, adding that the product was available only in surface tanks in parts of the city, where dealers sold it at N450 per litre. The survey revealed also that the itinerant retailers sold the commodity between N480 and N500 per litre, depending on the area.
Group General Manager, Public Affairs, Nigerian National Petroleum Corporation (NNPC), Ndu Ughamadu said that the inability of major marketers to continue with importation of kerosene could have been responsible for the shortfall.
Ughamadu said the Corporation on its part was still fulfilling its obligation of importing the product and equally supplementing it with what it produces locally.
In Lagos, the Nigeria Union of Petroleum and Natural Gas Workers (NUPENG) said that there has been no kerosene in any of the depots in Lagos.
The union said the product has not been available in both depots belonging to NNPC and private operators in Lagos.
Rotimi Benjamin, the National Chairman of the Surface Tank Kerosene Peddlers (SUTAKEP) Branch of NUPENG, told the media that Kerosene was last brought to the depots in December last year.
Benjamin, who is also the Vice-Chairman of NUPENG, Lagos Zonal Council, said that scarcity of Kerosene had made its price to go up, thus making it unaffordable for the masses.
He urged the Federal Government to come to the aid of the masses, who could not afford the price of cooking gas, by making Kerosene available at the depots and filling stations.
Some kerosene consumers in Lagos appealed to the Federal Government to assist the masses by making the product available for them at a reduced price.
A housewife in Ogba Lagos area of Lagos, Titilola Oviosu said that she just bought a bottle of kerosene for N300. She said that the Ragolis bottle sells for N550.00.
She said that the product was sold for N400 per litre in the filling station but when you go there you see them display N83.00 on their borad.
But why is kerosene and diesel out of stock. The Executive Secretary Depot and Petroleum Products Marketers Association (DAPPMA) Olufemi Adewole said the reason for scarcity is because of shortage of foreign exchange (forex)for marketers to import petroleum products, including kerosene hence the product is scarce and expensive.
According to him, the winter period also contributed to the challenge because prices of petroleum products usually rise during this period.
He urged the Federal Government to provide adequate foreign exchange to marketers to enable them import and increase supply.
Independent Petroleum Marketers of Nigeria (IPMAN) National Operations Controller, Mike Osatuyi said IPMAN members also didn't have access to forex to import kerosene and diesel.
He said his colleagues relied on NNPC for their supplies.
He called on the Central Bank of Nigeria (CBN) to take a second look at its forex policy, urging the government to fully deregulate petroleum products.
"The issue is that it is not available, and secondly, most of our refineries are not loading. Even if they load, they will be selling it at exorbitant rates to marketers. Members cannot import because of forex and besides, kerosene is not fully deregulated. Unlike diesel, kerosene and petrol are not fully deregulated," he added.
But Ughamadu said the NNPC had begun production of kerosene and diesel at Kaduna, Port Harcourt and Warri refineries. He said the refineries would balance the disequilibrium in demand and supply of the products being experienced in some parts of the country.
Warri Refining and Petrochemical Company (WRPC) Managing Director, Solomon Ladenegan said the plant had been doing well since its Crude Distillation Unit (CDU) was revved up recently.
He said the Warri Refinery refines two million litres of kerosene and three million litres of diesel daily. "We pump the products to Pipelines and Products Marketing Company (PPMC) and they have started loading out the products to depots," he said.
Port Harcourt Refining Company (PHRC) Managing Director Dr Bafred Enjugu said refinery produces three million litres of kerosene and diesel daily.
There are fears however that the current situation will further shoot up inflation. Recent statistics released by the Nigerian Bureau of Statistics showed that food prices and other consumables increased drastically due to increase in fuel energy.
The cost of food in Nigeria increased 17.40 percent in December of 2016 over the same month in the previous year.
Most trucks used to transport foods and other consumables in the country are diesel powered and they transport about 95 percent of the goods due to the absence of rail system. The transporters and wholesalers take into consideration the cost of fuel.
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text:
Q: Highcharts Compare Date Ranges Bar Chart I would think this would have been a fairly common thing to do but I can't find examples anywhere. I want to compare 3 series of data for 2 different date ranges and see them next to each other in a bar chart. Its easier to understand by the picture:
Unfortunately, the only thing I can think of is to add a HIDDEN series and then do my legend in html outside of the highchart. Please tell me there is a better way to do this. This is what I have come up with as an example.
$(function () {
    $('#container').highcharts({
        chart: {
            type: 'bar'
        },
        title: {
            text: 'Safe Places To Visit'
        },
        xAxis: {
            categories: ['Africa', 'America', 'Asia', 'Europe', 'Oceania'],
            title: {
                text: null
            }
        },
        yAxis: {
            min: 0,
            title: {
                text: 'Survey Count',
                align: 'high'
            },
            labels: {
                overflow: 'justify'
            }
        },
        plotOptions: {
            bar: {
                dataLabels: {
                    enabled: true
                }
            },
            series: {
                dataLabels: {
                    enabled: false
                }
            }
        },
        legend: {
            layout: 'vertical',
            align: 'right',
            verticalAlign: 'top',
            x: -40,
            y: 100,
            floating: true,
            borderWidth: 1,
            backgroundColor: ((Highcharts.theme && Highcharts.theme.legendBackgroundColor) || '#FFFFFF'),
            shadow: true
        },
        credits: {
            enabled: false
        },
        series: [{
            name: 'Recommend',
            data: [107, 31, 635, 203, 2]
        }, {
            name: 'Recommend W/ Comp',
            data: [133, 156, 947, 408, 6]
        }, {
            name: 'Dont Recommend',
            data: [973, 914, 4054, 732, 34]
        }, {
            name: 'HIDDEN',
            data: [0, 0, 0, 0, 0]
        }, {
            name: 'Recommend',
            data: [107, 31, 635, 203, 2]
        }, {
            name: 'Recommend W/ Comp',
            data: [133, 156, 947, 408, 6]
        }, {
            name: 'Dont Recommend',
            data: [973, 914, 4054, 732, 34]
        }]
    });
});

You can see the fiddle here.

A: I think you can find the answer here :

*

*Grouping Legends in
Highcharts

*How to get multiple data series into
Highcharts

redpajama_set_name: RedPajamaStackExchange


text:
package com.hazelcast.internal.nearcache.impl;

import com.hazelcast.internal.adapter.DataStructureAdapter.DataStructureMethods;

import java.util.List;

import static java.lang.String.format;

public class NearCacheSerializationCountConfigBuilder {

    private static final String DELIMITER = ", ";

    private final StringBuilder sb = new StringBuilder();

    private String baseString;
    private DataStructureMethods method;

    public void append(DataStructureMethods method) {
        this.method = method;
    }

    public void append(int[] intArray) {
        String delimiter = "";
        sb.append("newInt(");
        for (int count : intArray) {
            sb.append(delimiter).append(count);
            delimiter = DELIMITER;
        }
        sb.append(")").append(DELIMITER);
    }

    public void append(Object option) {
        sb.append(option).append(DELIMITER);
    }

    public String build(boolean isKey, boolean isSerialization, int index, List<String> stacktrace) {
        if (baseString == null) {
            baseString = sb.substring(0, sb.length() - DELIMITER.length());
        }
        return format("%s, %s%n%s%s", method, baseString, createPointer(method, isKey, isSerialization, index),
                createStackTrace(stacktrace));
    }

    private static String createPointer(DataStructureMethods method, boolean isKey, boolean isSerialization, int index) {
        int arrayWidth = 17;
        int offset = 9 + method.name().length();
        if (!isKey) {
            offset += 2 * arrayWidth;
        }
        if (!isSerialization) {
            offset += arrayWidth;
        }
        offset += index * 3;
        StringBuilder sb = new StringBuilder();
        for (int i = 0; i < offset; i++) {
            sb.append(" ");
        }
        sb.append("↑");
        return sb.toString();
    }

    private static String createStackTrace(List<String> stacktrace) {
        if (stacktrace.isEmpty()) {
            return "";
        }
        return "\n" + stacktrace.toString();
    }
}

redpajama_set_name: RedPajamaGithub


text:
Apache JSP Wiki Manifesto
This idea has been brought up before, but so far it has not really been an issue. However, this looks like the time when it would be possible to accomplish this.
JSPWiki code base is old, and it needs some refactoring. This refactoring includes things like moving to Java 5, fixing the metadata engine, replacing the backend with something scalable, and in general removing all the cruft that has been accumulated over time. This requires that we break compatibility with existing plugins and other components. Not badly, but to some degree.
Also, JSPWiki as an open source software project is growing slowly but steadily. However, the wiki world is moving rapidly, and wikis have been adopted widely. JSPWiki has become a tool for a great many companies, who are relying on it in their daily business. This is a lot for a hobby project lead by a "benevolent dictator" -model. Therefore, it is time for JSPWiki to mature to a "real" open source software project to be a serious contender in the wiki world.
To accomplish both of these goals needs a major shift in how JSPWiki is managed and who "owns" it, in a sense. Therefore, we (the people who have been committing source code) think that Apache would be a good choice, and have decided that we will try to submit JSPWiki into the Apache incubation process, with the goal of graduating as a top-level project.
The proposal is currently being drafted at ApacheJSPWikiProposal, and discussion is done in the jspwiki-dev mailing list.
-- JanneJalkanen, AndrewJaquith, ErikBunn, DirkFrederickx, JuanPabloSantosRodriguez, MurrayAltheim, ChristophSauer, 07-Aug-07
FAQs#
What will happen to existing JSPWiki?#
Well, the current idea is to release JSPWiki 2.6 as a LGPL project from our web site. After that, we'll move JSPWiki source code to the Apache SVN, and start working on the licenses and dependencies. The aim would be that JSPWiki 3.0 would be an Apache release.
What about plugins?#
The thing is that we're gonna need to change the package names, so all existing plugins and modules will break. However, hopefully this can be accomplished in such a way that basic string-replace of "com.ecyrd" to "org.apache" would be enough.
Some of the APIs are full of crud, though, so we might want to refactor them.
How will this benefit my company?#
Well, assuming Apache accepts us, you should be getting a piece of software which has strong community support, and is no longer susceptible to random fits of a couple of lead developers. This means that building your business on top of JSPWiki will be a lot safer than it used to be.
« This page (revision-4) was last changed on 19-Oct-2007 23:15 by 84.194.120.63
JSPWiki
JSPWIKI Testers
Report new bug
New ideas?
...nobody


text:
HomeWelcome to the BSHS Website The British Society for the History of Science (BSHS) is the main organisation in the British Isles working to bring together people with an interest in the histories of science, technology and medicine and their changing relationship with society.As you will know from the last issue of Viewpoint membership rates have increased slightly this year but we are sure that you will still find membership excellent value for money. In addition to regular issues of Viewpoint and the British Journal for the History of Science, and our active conference programme, membership benefits will shortly be expanded to include a dedicated members' area of the BSHS website.» Learn more about the BSHS here
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GrantsThe British Society for the History of Science operates the following grants schemes:Master's Degree Bursaries: bursaries of £1,000 to support students taking taught Master's courses in the history of science or technology. Non-members of the Society are eligible. Deadline: 30 September each year.Research Grants: small grants for specific research purposes, from £50 to £500. There are two cycles per year. Only members of the Society are eligible. Deadlines: 30 September and 31 March each year.Butler-Eyles Travel Grants: grants of up to £100 to assist with the travel costs of attending a BSHS conference. This grant is open to independent scholars and student members of the Society only. There are multiple cycles: candidates should apply by the registration deadline for the relevant conference.Special Projects Grants: grants, usually from £50 to £1500 in value, to fund 'special projects' which promote the general aims of the BSHS. There are two cycles per year. Only members of the Society are eligible. Deadlines: 30 September and 31 March each year.Care Grants: grants of up to £100 towards delegates' care arrangements during the BSHS Annual Conference.The Society also supports the organisation of conferences and events, but not through these grants schemes. For more details of the…
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Marylebone Medical Walks 2009
Home/News/Seminars & Public Lectures/Marylebone Medical Walks 2009
Join a fascinating tour of London's medical history, through its back streets and the museums of the physicians, anaesthetists & dentists.
Dates: Friday 15 May / Tuesday 9 June / Thursday 16 July 2009
Duration: 2 hours and 30 minutes
Now in their fourth year, these popular Medical Walks offer an opportunity to explore the medical heritage of London,
led by a Blue Badge Guide.
The walk will start at the Royal College of Physicians, founded in 1518, with a tour of the historic collections in the College's Grade 1 listed building designed by Sir Denis Lasdun.
Taking in the exclusive streets and hidden by-ways en route, the walk will move to the Anaesthesia Heritage
Centre, which traces over 150 years of the history of anaesthesia.
After stopping at various medical landmarks, the walk will end at the British Dental Association, with time to view the exhibits from its collection of 30,000 objects and images, and to take refreshments.
Booking information: Tickets cost £9 per person and include visits to all three museums and tea/coffee
Pre-booking essential. To book, please contact:
The Royal College of Physicians
[ mailto:paula [dot] croisier [at] rcplondon [dot] ac [dot] uk ][email protected]
By bshs-admin|2017-11-10T09:58:54+00:00December 16th, 2010|Seminars & Public Lectures|Comments Off on Marylebone Medical Walks 2009
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Fireboy And Watergirl: The Light Temple - Juegos gratis en línea en Clavejuegos.com!
Sequel to Fireboy & Watergirl: The Forest Temple. In this platform adventure you need to use teamwork to get both Fireboy and Watergirl to the exit point. Good luck!


The work it takes an actor to get in shape for a superhero movie is genuinely astounding, so it's easy to understand why fans love tracking the various ways the stars go about getting pumped up to save the world — and the cast of the Marvel Cinematic Universe is obviously no exception. From Scarlett Johansson's acrobatics as Black Widow to Chris Hemsworth's otherwordly biceps, we're constantly impressed by what these performers manage to do in MCU films. Avengers: Infinity War is easily the biggest, most bombastic Marvel film yet, making it easy to assume the super-sized cast really had to crank it into overdrive to get in shape. To put that theory to the test, we took an in-depth look at the fitness regimens employed by some of your favorite Marvel stars, with an emphasis on the diets and workouts they used leading up to the MCU's big showdown against Thanos. Here's how the cast got ripped for Avengers: Infinity War.
Sebastian Stan's friendship with his personal trainer Don Saladino is pretty well documented. They're all over each other's Instagrams, and Saladino has been a key player in getting Stan shredded for his role as the Winter Soldier. Stan stuck with Saladino while prepping for Avengers: Infinity War, and Saladino offered up the key to their training method: keep it heavy.
Most bodybuilding workouts tend to involve lifting lighter weights at higher rates of repetition. Instead, Stan and Saladino kicked every day off with big, bulky lifts. "There is this amazing muscle engagement that you can just feel when you pick up a big weight…it just needs to feel heavy." Saladino said in regards to their workout. There are videos on Instagram of their workouts, with plenty of bodybuilding-style lifts. That said, they do often start with a heavier lift at lower reps. It clearly got the job done, as Stan is looking killer as the Winter Soldier in Infinity War.
You'd think the key to getting superhero fit would be copious three-a-day workouts and no days off. You wouldn't be completely wrong. Exercise is massively important to getting an actor in shape to play a superhero. That said, don't underestimate the importance of diet. It fuels your body and dictates its physical appearance just as much, if not more, than how many heavy things you lift. Elizabeth Olsen kept this in mind while prepping for Infinity War.
Olsen's nutritionist Phillip Goglia has openly discussed Olsen's goals for Scarlet Witch in the new film. He says she focused heavily on body composition. "She wanted to be dense, heavy and athletic," Goglia explained. "She just really nailed it." This meant her diet was radically restructured. She eliminated gluten, dairy, and yeast altogether and ate seven to eight meals per day, largely consisting of fruits, vegetables, and chicken and fish as proteins. It honestly sounds like a nice diet — right up until you remember it means saying no to your favorite two-dollar pizza joint at midnight.
Chris Evans has been hitting the gym for nearly ten years now to get in shape to play the Star-Spangled Avenger, Captain America. The results have been pretty spectacular, with Evans' physique being perhaps the most impressive in the entire MCU (and that's really saying something, considering the cast he works with). With that much time spent figuring out how to best physically embody Cap, Evans and his trainer probably had a preferred method picked out once it was time to get ready for Infinity War. As it turns out, variety is the spice of life if you're trying to transform into Captain America.
Evans' routine doesn't play up any singular exercise over others. It's not a Crossfit workout, it doesn't focus on powerlifting or bodybuilding, and you don't see him forgoing all single-movement exercises in favor of Olympic lifting. Instead, Evans' workout routine consisted of a variety of exercises, ranging from body-weight movements like pull-ups to weighted ones like classic bicep curls. He incorporated kettlebells pretty heavily as well. The most surprising thing about his workouts is just how approachable they are. Sure, they're going to be a little intense for anyone who's never done them, and you won't get to be as big as Cap without plenty of clean eating to go with it, but Evans' workout can probably be done on your own at your local gym.
The hardest thing about a regular fitness routine is motivation. It's hard enough for most of us to even get to the gym on a semi-regular basis. We can't even begin to imagine how hard it is for actors to hit the weight room two, sometimes even three times a day for months and months on end as part of preparation for a movie. There are helpful tips that can make getting to the gym a little more exciting, though. We're partial to the buddy system. Work out with a friend and not only does going to the gym feel like more of a social event, but that friend can encourage you to reach for the best possible workout possible. Look no further than Scarlett Johansson for evidence.
Johansson has been playing Black Widow for nearly ten years now, and those constant workouts can get to be awfully monotonous. Johansson's solution? Go to the gym with a friend — in this case, Winter Soldier actor Sebastian Stan. While it doesn't seem to have been an everyday thing, Johansson tagged along for some workouts with Stan and his trainer in preparations for the shoot. Who doesn't love the mental image of Black Widow yelling at a sweaty, exhausted Bucky to squeeze out one more rep?
It's pretty obvious that Chris Hemsworth gets huge when he has to suit up as Thor for a new Marvel movie. The sheer size the guy puts on to play the strapping god of thunder is superheroic in its own right. What does Hemsworth tend to give the most focus during his workouts? The answer probably won't surprise you at all.
Thor's arms in Marvel films tend to be roughly the size of three or four tree trunks, so his trainer maxes out the days they work those muscles. A photo posted to Instagram by Hemsworth's personal trainer shows the god of thunder in the midst of a strenuous bicep workout that clearly has those muscles working overtime. Hemsworth is already a pretty big dude, but a look at a movie like Vacation shows that he's by no means Thor-sized at all times. It makes the work he puts into getting big enough to play the god of thunder all the more impressive.
Ten years into the MCU, most of these actors know the drill when it comes to getting in shape for whatever role they play. With most of the characters in Infinity War being ones we've already seen onscreen, we'd imagine most of these actors knew what they need to do to get ripped enough to embody their roles. Brie Larson, however, is a new addition to the MCU — and as such, needed far more time to get into Captain Marvel shape. How long, you ask?
Larson hasn't played a superhero role of any kind before, nor any blockbuster role that has required her to get insanely fit. She very much had to start from square one when prepping for Infinity War and Captain Marvel (it's since been confirmed that she won't be in the final cut of Infinity War, but she prepped for it all the same). All things considered, Larson spent about nine months getting in shape to play Captain Marvel. That is incredible: Nine months of grueling workouts to get you ready to play a superhero is nothing to scoff at.
We tend to assume actors who play superheroes in blockbuster films get in shape for aesthetic purposes. They're playing characters who have, for decades, been portrayed as insanely fit people. If you want to play a superhero successfully, you've got to look the part. What seems to get lost, though, is why superheroes have to be so shredded to begin with: Even the most artistic superhero films feature a fight scene or two. These actors have to get into shape so we believe they can singlehandedly punch evil into oblivion.
Considering this, it makes all the more sense that Tom Holland wasn't simply content with looking good as Spider-Man. He doubled down and got into the ring at a boxing gym. Holland has been boxing for some time now, so it's hardly breaking news, but incorporating boxing into his workouts prepping for Infinity War ensured that the muscle he put on wouldn't just be cosmetic. He can throw a punch for real, which will likely lend a cool air of legitimacy to any moments in which Spidey throws hands in Infinity War.
Few things can inspire you to become the fittest possible version of yourself than evidence of a friend's gym progress. Seeing someone you know go from shrimpy to shredded makes your gym goals seem all the more realistic. The effect can be the same if you're already in shape and just need an extra dose of inspiration to get you through a plateau. Dave Bautista has now gotten in Drax the Destroyer shape for two Marvel films, and he managed to avoid plateauing for Infinity War by taking inspiration from a costar's progress.
Josh Brolin didn't have to get ripped to play Thanos, but Thanos isn't the only comic character he's playing this year. He'll also be appearing in Deadpool 2 as Cable — and he got jacked for that role. Brolin is on the older side for a superhero actor, and Bautista took a good bit of inspiration from seeing his costar get buff for his turn as Cable. He publicly talked about how it inspired him to train even harder to prep for his role as Drax, getting the character pumped up to maximum levels of destructive capabilities. As macho as the exchange is, it's pretty endearing at heart. We're totally here for friends inspiring friends to become their best selves, even if said best self just equates to being able to deadlift a car.
The press circuit for superhero movie promotion almost always entails questions about fitness. Seeing these actors get shredded for their roles isn't quite enough for us; we always want to know how they got there. Part of it is likely due to the fact that we love to demystify the process. It makes our personal fitness goals seem all the more attainable. There's a degree of exhibitionism to it too, though. Plenty of blockbuster film shoots come with urban legends about the lengths the cast went to in order to get in shape. Maybe this is why Black Panther actor Chadwick Boseman's refusal to lay all his cards on the table is a bit refreshing.
Black Panther and Infinity War were shot around the same time, so Boseman's fitness routine doubled as preparation for both appearances. While he later opened up a bit more, Boseman actually kept pretty mum when asked how he was getting in shape for the film. He responded with a coy, "A lot of strength and flexibility, but I'm not going to say any more…[and] how do you know it's not kickin' right now? I might be covering something up." It's a refreshingly coy response to the age-old question — and Boseman suggesting that he was already in superhero shape is a genuinely witty response.
Sometimes weightlifting and cardio just isn't going to cut it when it comes to fitness. Sometimes you've got to go outside of the box, outside your comfort zone, and outside of what your typical Hollywood personal trainer would recommend you do to get in superhero shape. Sometimes, as Black Panther and Infinity War star Danai Gurira knows all too well, you've just gotta up and learn how to use a sword.
Gurira already incorporated sword combat lessons into her training to play the katana-wielding Michonne on the hit TV show The Walking Dead. While her MCU character Okoye, the leader of the Dora Milaje, might not use a katana herself, Gurira found the combat training for Michonne helped tremendously with prepping for playing Okoye. "There's a lot of ways that, yes, one helps another. There are things about using combat that help each other. Absolutely. There's a lot of new things to learn and I'm really enjoying." Gurira said regarding the similarities between the training for each role. After seeing Black Panther, we certainly didn't want to cross Okoye, so the training clearly paid off in spades.
By now, we're pretty deep into the Marvel universe — more than 20 movies deep, in fact — and many of Marvel's primary actors have been around for a while. That's why they continue working out all year long, even if they aren't training for any specific film.
Chris Hemsworth, in particular, maintains a consistent workout routine to stay in shape for playing Thor. When it's time to really gear up for his next MCU adventure, he can pack on as much as 20 pounds — but in between movies, he keeps going to the gym, albeit at a more low-key level.
There's no reason for the cast to keep up their punishing six-day-a-week workout schedule if they aren't preparing to film. But continuing some form of consistent exercise can help them stay healthy — and also stay prepared. By keeping up with workouts, they won't have as much work to do in order to get back in fighting shape for the next movie.
Lupita Nyong'o is a relative newcomer to the MCU — her first Marvel film was 2018's Black Panther — and she put in a lot of work to get in shape, beginning with four hours a day of workouts and moving on to two hours once she started gaining muscle. Fortunately, she enjoyed the physical challenge.
"We had six weeks of bootcamp before we started filming. Bootcamp was going to Atlanta and working with a stunt team," Nyong'o said. "It's just gaining strength, stamina, and flexibility… I had to get into particularly good shape to be able to do the stunts."
The bootcamp worked: Nyong'o couldn't fit into her clothes when she went home for Christmas. And her physical skill as Nakia is evident: since Nakia is a street fighter, Nyong'o worked on jujitsu, capoeira (a Brazilian martial art), and ring blades. The regimen was a good fit for her — she's experimented with martial arts since she was a child — so it's easy to imagine that her workout routine for Avengers: Endgame rests on continuing to train hard and put on muscle.
Karen Gillan debuted as Nebula in the Guardians of the Galaxy franchise before appearing in Infinity War and Endgame, and she didn't skimp as she prepared for the role. First came the workouts — Gillan told Popsugar that she didn't do any strength training before playing Nebula, so she came in with a focus on building muscle. Squats, barbell deadlifts, and other weightlifting moves played a big role in her workout routine; cardio like running and cycling upped her endurance so she could last during the long days on set.
Next came martial arts training. As Gillan put it, "I had to start from the scratch in terms of learning how to fight, to look like I could do damage to someone." Finally, she also transformed her diet: eating protein shakes, apples, and almond butter all helped Gillan get the protein she needed in order to build more muscle and step into the role of Nebula.
Chris Pratt, better known as Star-Lord to Marvel fans, took to Instagram to share his Avengers: Infinity War workout. In the videos on his Instagram stories, Pratt took a three-mile trail run as a warm-up and then did three sets of 120-yard hill sprints.
Pratt went through an intensive training regimen for Guardians of the Galaxy, working for three or four hours each day and losing 60 pounds in just six months. During that time, Pratt also gave up alcohol, ate 4,000 calories a day in a low-carb diet, and did swimming, boxing, P90X, running, kickboxing, and even a triathlon as part of his workout routine. So when it came time to prepare for Infinity War and Endgame, Pratt was prepared — he knew what it would take.
And it seems like Pratt enjoys his workouts, too. "I can do 40-inch box jumps now. Action-hero physical stuff. Jumping that high feels really good," he said when he first started training for the MCU. "When you get in shape, the world around you becomes things you want to jump on and climb on."
When Josh Brolin first started preparing to play Cable in Deadpool 2, he went the low-carb route right away: No sugar. No bread. No pastas. It can be a difficult diet to follow, but it's also one that can produce results — that much is evident by watching Brolin as Thanos in Avengers: Infinity War.
In addition to exercising his self-control in the kitchen, Brolin put in the work in the gym, too — Gold's Gym, according to the location on some of his Instagram workout videos. Brolin performed drop sets (perform an exercise, drop the weight, and continue until reaching failure) and other workout moves with his trainer, Justin David Lovato of Built Nutrition and Training. He's definitely put in the work, and although he can now enjoy his role as Thanos, that role came at a heavy price.
Can you picture Iron Man doing yoga? That suit would definitely make it difficult, but in real life, Robert Downey Jr. is an ardent enthusiast. In 2008, Downey described his infatuation with yoga, telling TIME, "I need a lot of support… Life is really hard. I've just been at the ready, and when the opening was there, I hit it."
At the time, Downey was working with yoga teacher Vinnie Marino, who would regularly lead the actor through power yoga flows. Downey was in the news for an assortment of dangerous behavior many years ago, and he's said yoga is a big part of what helped him improve his overall health and wellness and stay on the straight and narrow.
Yoga isn't a shocking or particularly exciting workout; it doesn't make headlines like some of the other intense regimens other Marvel actors put themselves through. But yoga promotes strength, flexibility, and a clear mind — all good traits for the superhero ready for his rematch against Thanos in Avengers: Endgame.
Through focusing on year-round fitness, staying in shape all the time so they'll be ready for the next Marvel film, some of the MCU's stars have developed a life-altering affinity for healthy living. Chris Hemsworth has even launched a health, fitness, and diet app, which helps subscribers set goals and then complete short, focused workouts to reach them. "I've found that's the most effective way to train," Hemsworth said. "I used to train a lot longer, but I found myself having far more injuries and not actually getting the results I wanted."
Like the rest of us, the MCU cast isn't getting any younger — and a persistent focus on regular exercise and sensible nutrition is always a great way to stay in shape, whether you're simply staying healthy or gearing up for a blockbuster movie like Avengers: Endgame.


Only that Seeker reaches the desired destination on this Course, who has courage (and guts) as elevated as the sky is; has determined as solid and unshakable as a mountain is; has Perseverance (with righteousness) and tolerance as durable as the earth; and he can keep moving on this Course always every day and night like a river and never retreats. No disaster and adversity like hunger, thirst, paucity, grief, and trouble can destabilize him or stop his advancement. He should be like a careless camel that eats thorns and bushes and lifts heavy loads.
This Course is full of pain and trials. On the way there is no house of mama or aunt. Here is no comfort, blessing, delicious food and fatty meals. Those, who have been raised in plenty and comfort; those, who spend their days and night in luxury and affluence and dream and rest is their hobby; for such bulls and donkey animals, there are a lot of pastures and meadows in the world. What concern do they have with the Pure and Sacred Sanctuary of Allah Almighty, whose hearts are the drawing rooms of the Dunya (World)? Where the dogs of the worldly thoughts and the Khatraat run always, there is no passage for the angels and the Noori People as.
Angels do not come in that house, where a dog lives.
In short, the Path of Allah Almighty is of a severe test and examination, not of comfort and relief.
O Seeker of the Lord! If you are truthful and sincere in your Demand, then read any Persian book Hazrat Sultan ul Arifeen Hazrat Sultan ul Faqar Hazrat Sultan Bahu May Allah Sanctify his Secret or its right translation day and night with genuineness and sincerity and make it a Waseela for the Qurb of Marifat and Mushahida of Didaar of Allah Almighty and for the Majlis of Hazrat Ahmed e Mukhtaar. Insha Allah (if Allah wills)! You will soon fill your case with this desired pearl and you will sooner or later achieve all that, which is in your heart! A study of these books for a week is better than wasting the precious life and wealth on the doors and service of the formal and hypocritical Piraan and the Imperfect Murshideen of these days!
Here we present a small glimpse of the blessed books of Hazrat Sultan ul Arifeen Hazrat Sultan ul Faqar Hazrat Sultan Bahu May Allah Sanctify his Secret as a sample to test for the readers. Fortunate, auspicious, sound minded and just persons will ascertain the reality and the originality of these sacred books through these brief paragraphs. The following paragraphs have been taken from one of his priceless and the comprehensive book Noor ul Huda (Klaan) which is a book of extremely (advanced) learning and Mysteries.


Drop by the gym today or go outside and do something active with your family! Be an inspiration to your kids by teaching them the importance of exercise and a healthy lifestyle!
a protein rich breakfast after a couple of nights of junk food😅 i work evenings and go to the gym after work, so some days i don't have chance to eat between 4pm-10pm😩 the past couple of days I've been super hungry when I've gotten home n have ordered a big takeaway🤷🏾♀ gotta get back on track though!
우리 공주보러 달려가는 중 총총..
. . . Fendi APAC Retail Seminar 2019 Day 3 - FENDI Night . . .
. . . Fendi Night . . .
. . . Fendi APAC Retail Seminar 2019 Day 2 - Team dinner . . .


Members of SHYG, the high school youth group, will take orders for pies on Sunday from 10:30 to 11 between services. They will take orders again the following Sunday, 12/2. The pies will be baked by SHYG on Dec. 22, and will be available for pickup between services on Sunday, Dec. 23.
Please order some pies to help those affected by the recent wildfires.


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MFMS Liverpool
MFMS: Subhadra Desai, Kousic Sen & Rekesh Chauhan
27 Apr 2019 | 1pm
Capstone Theatre, Liverpool
Music for the Mind & Soul: Subhadra Desai, Kousic Sen & Rekesh Chauhan
Saturday 27th April, 1pm
The Capstone Theatre, Liverpool
FREE (Priority Admission tickets recommended)
Dr Subhadra Desai is a Hindustani vocalist known for her contemplative melodies. For this performance, her stunning vocals will be elevated to new heights by the percussion mastery of Kousic Sen and rising star Rekesh Chauhan on harmonium.
Dr Subhadra Desai is a musician, researcher and academic, as well as an empanelled artist with the Indian Council for Cultural Relations and an accredited A Grade artist at All India Radio. She has composed music for ancient Sanskirt and Pali texts in classical Ragas and has performed in venues across the globe.
Kousic Sen provides a unique rhythmic heartbeat to any concert experience in a style that is uniquely his own. Known across the globe as a master collaborator, he has performed with some of the top names in Indian Classical music. Rekesh Chauhan is a multi-talented musician. In today's performance he will be playing the harmonium but he is also known for his mastery of the piano. He released his debut album Beyond Roots with the support of Milapfest in 2015.
Capstone Theatre, Liverpool Hope University, Creative Campus, 17 Shaw Street, Liverpool, L6 1HP


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Q: How to add Icons in Django forms creating forms from Models i am newbie in python, i'm try to create forms from models in django.
I need to put icons in the html5 lines
i'm using fontawesome and i can put icon if i add the html codeline  but i need to bring the variable "fa fa-shower" or "{icon name}" from my forms.py
my code in forms.py is:
class LoginForm(forms.ModelForm):
    class Meta:
        model = User
        fields = ['username', 'password']
        icons = {
            'username': 'fa fa-user',
            'password': 'fa fa-lock',
        }
        labels = {
            'username': 'User/Correo:  ',
            'password': 'Contraseña  ',
        }
        widgets = {
            'username': forms.TextInput(attrs={'class': 'form-control'}),
            'email': forms.TextInput(attrs={'class': 'form-control'}),
            'password': forms.PasswordInput(attrs={'class': 'form-control'}),
        }

class iconModelForm(LoginForm):
    def __init__(self, *args, **kwargs):
        super().__init__(self, *args, **kwargs)
        icons = getattr(self.Meta, 'icons', dict())

        for field_name, field in self.fields.items():
            if field_name in icons:
                field.icon = icons[field_name]

how can pass the context of two classes from view to html?
my views.py is:
class LoginLocal(View):
    def get(self, request):

        contexto = {
            'formLogin': LoginForm(),
            # 'formIcon': iconModelForm(),
            }
        print(contexto)
        return render(request, 'login_reg_app/login.html', contexto)

and how can i read two list in the same for in html? I tried to use ZIP but it showed error.
my file login.html is:
<form action="{% url 'login_reg_app:login' %}" method="post" >
                {% csrf_token %}
                {{ formLogin.non_field_errors }}

                {% for field in formLogin %}

                    {{ field.label }}

                        {{ field }}

                    {% if field.errors %}

                        {% for error in field.errors %}
                        {{ error }}
                        {% endfor %}

                    {% endif %}

i want to know, how can i read the second context in   using my class iconModelForm?


Though it's revered by modern anglers, the brown trout wasn't well received when introduced to American waters.
Anglers of the 1870s were no different from today, in the sense that come spring, they were ready to do some trout fishing—and often scratched that itch by scouring their favorite sporting publications for the latest word on the new season. So you can imagine the surprise that greeted some readers when they read the headline of a letter published in the April 4, 1878, issue of Forest & Stream, which proclaimed "No More Trout Fishing in the Upper Beaverkill." The writer was George Van Siclen of the newly formed Beaverkill Club, and he was putting the word out that the water in question was posted.
The reason was because of the perilous status of its brook trout population in that water. We like to think of the late 19th century as the glory days of brook trout fishing, but unless you were floating on an Adirondack pond or a Maine lake, angling for speckled trout had fallen into serious decline, and the Beaverkill was a good example. Lumbering and tanning operations together with increased fishing pressure sent native brook trout populations dropping like stock prices during the panic of '73.
Average size plummeted, too, and anglers "fished for count," in the saying of the day, meaning they kept everything. Ed Van Put in his rich history, Trout Fishing in the Catskills, reports on "Two fishermen from Saugerties who caught 1,473 weighing a total of 120 pounds from the Beaverkill and Balsam Lake." (You can do the math on the average weight.) He also tells the story of the proverbial last straw for above mentioned George Van Siclen. The summer before he had encountered "three men on a buckboard who boasted of catching 'over 400 trout' which they kept in a 'twelve-quart butter firkin.'" None, apparently, reached the vaunted six-inch mark.
The response of wealthy sports like Van Siclen was to post waters. Meanwhile, the angling response on public streams, as reflected by the boys on the buckboard, was to "git 'em while you still can." Such a tension suggests that American fly fishing could have gone the way of England, with the best fly fishing waters inaccessible to the ordinary citizen. But it didn't, for reasons that have to do with history, culture, and social class—and also to a certain immigrant from Germany—the brown trout.
Nascent state fish commissions had tried to buttress populations by stocking brook trout, rainbows (or California trout, as they were called), smallmouth bass, and other species. But no fish moved in and made itself at home like the brown. And certainly no trout has had a comparable impact on the development and practice of American fly fishing.
The browns arrived by ship, like other immigrants. Through friendships in Germany, American author and fish culturist Fred Mather ended up with multiple shipments of brown trout eggs in 1883 and '84, which he distributed to the right people, and before long, brown trout were swimming in waters around the state and the country. Their capacity for avoiding capture, as a 19th-century angler might have put it, proved their (and our) salvation. They were here to stay.
Not all anglers were so lucky, of course, and not all anglers were enthralled with newcomers. Then, as now, brown trout often became fish-eaters at around a foot, which fit the larger cultural fear about immigrants at the turn of the century. "The European variety is piscivorous, and it preys on the American trout," is how one newspaper article put it.


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You Are Here: Home → 2019 → May → 11 → Children search for senatorial bets to represent them
Children search for senatorial bets to represent them
Janess Ann J. Ellao May 11, 2019 Elections 2019
Lumad children play at the evacuation center in UCCP Haran, Davao City. (Photo by Abegail Valenzuela of PANAP)
Among the senatorial aspirants who are against the lowering of minimum age of criminal responsibility are Bam Aquino, Neri Colmenares, Sonny Matula, Samira Gutoc, Gary Alejano, Nancy Binay, Romy Macalintal, Grace Poe, Erin Tanada and Florin Hilbay.
MANILA – They may not be able to cast their votes yet. But children and various groups advocating their rights and welfare are determined not to miss this midterm elections as an opportunity to voice out the concerns and issues confronting them.
In earlier statement, children's group Salinlahi pointed out the need to elect legislators who can not just represent their voices in Senate but also stand and protect the interests of the people.
Children's welfare during emergencies
Last year, international children rights advocacy group Save the Children called on those running for public office to prioritize the welfare of children in times of disasters and emergencies.
This, the group said, entails the implementation of Republic Act 10821 or the Children in Emergency and Relief Act of 2016 that aims to address the needs of children before, during, and after a disaster or emergency situation.
Children, the group added, are vulnerable in times of natural and man-made disasters, as seen in the aftermath of the Typhoon Haiyan, one of the strongest typhoons ever to make landfall in recent history, where about six million children were affected.
Many children were also affected by the Marawi crisis, which President Duterte recently refused to fully rehabilitate and has instead sought private companies to do it, to the dismay and outrage of human rights organizations.
Children victims of tokhang
Thousands of sympathizers laid Kian Delos Santos to rest, Aug. 26. (Photo by Kathy Yamzon/ Bulatlat)
Children, too, have unfortunately become victims of Duterte's war against illegal drugs.
The killing of Kian Delos Santos has brought to fore the evils of the war against illegal drugs, which mainly targets the poor.
The three cops involved in the killing were found guilty by a Caloocan court. However, then Caloocan police chief who was fired after the Kian killing is now head of the police Highway Patrol Group.
While Duterte has already admitted in his speech that his illegal drug drive is a failure even after ordering the deaths of those he called "idiots," former police chief and now senatorial aspirant Ronald Dela Rosa continues to stand by it, saying that he found it imperfect but not wrong.
Stand on CICL
(Photo courtesy of Salinlahi)
The proposed lowering of the minimum age of criminal responsibility from 15 years old to nine has been raised early this year. This has been met with criticism, saying that this will bring more harm than good to children as proven by scientific and solid studies.
Read: What the proposed lowering of age of criminal liability means to Filipino children
Children rights groups said the proposal reflects state abandonment, most especially of children belonging to poor families who are most vulnerable to crime syndicates or committing petty crimes.
Among the senatorial aspirants who are against the lowering of minimum age of criminal responsibility are Bam Aquino, Neri Colmenares, Sonny Matula, Samira Gutoc, Gary Alejano, Nancy Binay, Romy Macalintal, Grace Poe, Erin Tanada and Florin Hilbay. They also took notice of the state of Bahay Pag-Asa or the rehabilitation centers for children in conflict with the law, saying these must be improved.
On Lumad students
Lumad students and evacuees and other protesters at the Oblation in UP Diliman (Photo courtesy of Salinlahi Alliance for Children's Concerns)
The plight of Lumad continues under the present administration, with militarization of their communities and the third extension of martial law rule in Mindanao. No less than President Duterte himself threatened to bomb their schools.
Senatorial aspirants Colmenares and Diokno have been very vocal on their stand on the plight of the Lumad and in questioning the martial law rule in Mindanao, which, they said, has resulted in grave human rights violations.
As then Bayan Muna lawmaker, Colmenares has asked the Supreme Court to rule favorably to the petitions they filed, seeking protection for the Lumad under attack. He was also among the first to condemn extrajudicial killings and other rights violations among the Lumad, including the infamous Lianga massacre.
Read: Outraged groups demand justice for Surigao Sur killings
One possible solution to their plight, Diokno said, is to review the Indigenous Peoples' Rights Act to further call for the protection of the Lumad.


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Category Archives: Minion–themed 5K
LA Life and Style, Los Angeles Life and Style, Los Angeles Life and Style Entertainment News, Minion–themed 5K, Universal Studios Hollywood Launches Running Universal
Universal Studios Hollywood Launches "Running Universal," a Series of Fun Runs, Kicking Off with the Inaugural 5K Featuring Illumination's Minion on Saturday, May 11, 2019
November 13, 2018 Los Angeles Life and Style	Leave a comment
Get Ready, Get Set…Minion Run!
Universal City, Calif. – Universal Studios Hollywood is off to the races with its all-new "Running Universal."
Running Universal's Innaugural 5K Run at Universal Studios Hollywood on May 11, 2019
The series of fun runs that kicks off with an energetic Minion–themed 5K, will be held on Saturday, May 11, 2019.
The inaugural Minion Run, featuring Illumination's mischievous Minions from the popular "Despicable Me Minion Mayhem" ride, invites participants ages five and older (of all experience levels) to wind their way around Universal Studios Hollywood and through parts of Universal Studios' historic backlot, made famous in more than 8,000 movies and television shows. The run will give participants an unprecedented insider's view of the Entertainment Capital of L.A.
Starting at Universal Studios Hollywood's iconic front gates, participants will pass through some of the theme park's immersive areas and attractions before winding their way along the historic backlot and into the magical world of movie-making as they head toward the finish line at CityWalk's 5 Towers outdoor concert stage.
Along the 3.1 mile course, participants will be entertained by some of their favorite Universal Studios Hollywood characters including the Minions.
The program will begin at 6 a.m. and culminate at 7:30 a.m. with a memorable awards and closing ceremony. Registration is now openand space is limited. For more information about the standard, VIP and Fan packages, visit https://www.runninguniversal.com.
Universal Studios Hollywood is The Entertainment Capital of L.A. and includes a full-day, movie-based theme park and Studio Tour. As a leading global entertainment destination, Universal Studios Hollywood delivers highly themed immersive lands that translate to real-life interpretations of iconic movie and television shows. Recent additions include "The Wizarding World of Harry Potter™" which features a bustling Hogsmeade village and such critically-acclaimed rides as "Harry Potter and the Forbidden Journey" and "Flight of the Hippogriff™". Other immersive lands include "Despicable Me Minion Mayhem" and "Super Silly Fun Land" as well as "Springfield," hometown of America's favorite TV family, located adjacent to the award-winning "The Simpsons Ride™" and the "The Walking Dead" daytime attraction and the all-new DreamWorks Theatre featuring "Kung Fu Panda: The Emperor's Quest." The world-renowned Studio Tour is Universal Studios Hollywood's signature attraction, inviting guests behind-the-scenes of the world's biggest and busiest movie and television production studio where they can also experience such authentic thrill rides as "Fast & Furious—Supercharged." The adjacent Universal CityWalk entertainment, shopping and dining complex also includes the all-new multi-million dollar, redesigned Universal CityWalk Cinema, featuring deluxe recliner seating in screening room quality theatres, and the "5 Towers" state-of-the-art outdoor concert stage.
Inaugural Minion RunMinion–themed 5KUniversal Studios Hollywood Launches "Running Universal


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text:
Labidodemas americanum is een zeekomkommer uit de familie Holothuriidae.

De wetenschappelijke naam van de soort werd in 1938 gepubliceerd door Elisabeth Deichmann.

Zeekomkommers

redpajama_set_name: RedPajamaWikipedia