text:
"""Saccader model.

Saccader model is an image classification model with a hard attention mechanism.
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import copy
import numpy as np
import tensorflow.compat.v1 as tf
import tensorflow_probability as tfp

from saccader import utils
from saccader.feedforward import bagnet_model

MOMENTUM = 0.9
EPS = 1e-5

def gather_2d(images, offsets):
  """Extracts a elements from input tensor based on offsets.

  Args:
    images: A Tensor of type float32. A 4-D float tensor of shape [batch_size,
      height, width, channels].
    offsets: A Tensor of type float32. A 2-D integer tensor of shape
      [batch_size, 2] containing the x, y (range -1, 1).

  Returns:
    A Tensor of type float32.
  """
  batch_size = tf.shape(images)[0]
  _, height, width, num_channels = images.shape.as_list()
  indices_height, indices_width = utils.normalized_locations_to_indices(
      offsets, height, width)

  # Compute linear indices into flattened images. If the indices along the
  # height or width dimension fall outside the image, we clip them to be the
  # nearest pixel inside the image.
  indices_batch = tf.reshape(tf.range(batch_size), [batch_size, 1, 1])
  indices_height = tf.reshape(indices_height, [batch_size, 1, 1])
  indices_width = tf.reshape(indices_width, [batch_size, 1, 1])

  # Gather into flattened images.
  return tf.reshape(
      tf.gather_nd(
          images, tf.stack((indices_batch, indices_height, indices_width), -1)),
      (batch_size, num_channels))

def build_attention_network(features2d,
                            attention_groups,
                            attention_layers_per_group,
                            is_training):
  """Builds attention network.

  Args:
    features2d: A Tensor of type float32. A 4-D float tensor of shape
      [batch_size, height, width, channels].
    attention_groups: (Integer) Number of network groups.
    attention_layers_per_group: (Integer) Number of layers per group.
    is_training: (Boolean) To indicate training or inference modes.

  Returns:
    features_embedded:  A Tensor of type float32. A 4-D float tensor of shape
      [batch_size, height, width, channels].
  """
  channels = features2d.shape.as_list()[-1]
  with tf.variable_scope("attention_network"):
    features_embedded = features2d
    for i in range(attention_groups):
      filters = channels // 2**(i+1)
      for j in range(attention_layers_per_group):
        features_embedded = tf.layers.conv2d(
            features_embedded,
            filters=filters,
            kernel_size=3 if j == (attention_layers_per_group-1)
            else 1,
            strides=1,
            dilation_rate=(2, 2) if j == (attention_layers_per_group-1)
            else (1, 1),
            activation=None,
            use_bias=False,
            name="features2d_embedding%d_%d" %(i, j),
            padding="same")
        features_embedded = tf.layers.batch_normalization(
            features_embedded, training=is_training,
            momentum=MOMENTUM, epsilon=EPS,
            name="features2d_embedding%d_%d" %(i, j))
        features_embedded = tf.nn.relu(features_embedded)
        tf.logging.info("Constructing layer: %s", features_embedded)

    return features_embedded

def sobel_edges(images):
  """Computes edge intensity of image using sobel operator."""
  batch_size = tf.shape(images)[0]
  _, h, w, _ = images.shape.as_list()
  edges = tf.image.sobel_edges(tf.image.rgb_to_grayscale(images))
  edges = tf.reshape(edges, (batch_size, h, w, 2))
  edge_intensity = tf.norm(edges, ord="euclidean", axis=-1)
  return edge_intensity

def engineered_policies(images, logits2d, position_channels, glimpse_shape,
                        num_times, policy):
  """Engineered policies.

  Args:
    images: A Tensor of type float32. A 4-D float tensor of shape
      [batch_size, height, width, channels].
    logits2d: 2D logits tensor of type float32 of shape
      [batch_size, height, width, classes].
    position_channels: A Tensor of type float32 containing the output of
      `utils.position_channels` called on `images`.
    glimpse_shape: (Tuple of integer) Glimpse shape.
    num_times: (Integer) Number of glimpses.
    policy: (String) 'ordered logits', 'sobel_mean', or 'sobel_var'.

  Returns:
    locations_t: List of 2D Tensors containing policy locations.

  """
  if policy == "ordered_logits":
    pred_labels = tf.argmax(tf.reduce_mean(logits2d, axis=[1, 2]), axis=-1)
    metric2d = utils.batch_gather_nd(logits2d, pred_labels, axis=-1)

  elif "sobel" in policy:
    edges = sobel_edges(images)
    edges = edges[:, :, :, tf.newaxis]
    _, orig_h, orig_w, _ = edges.shape.as_list()
    _, h, w, _ = logits2d.shape.as_list()
    ksize = [1, glimpse_shape[0], glimpse_shape[1], 1]
    strides = [1,
               int(np.ceil((orig_h-glimpse_shape[0]+1) / h)),
               int(np.ceil((orig_w-glimpse_shape[1]+1) / w)),
               1]
    mean_per_glimpse = tf.nn.avg_pool(
        edges,
        ksize=ksize,
        strides=strides,
        padding="VALID"
        )
    if "mean" in policy:
      metric2d = mean_per_glimpse
    elif "var" in policy:
      n = np.prod(glimpse_shape)
      var_per_glimpse = (n / (n - 1.)) * (tf.nn.avg_pool(
          tf.square(edges),
          ksize=ksize,
          strides=strides,
          padding="VALID"
          ) - tf.square(mean_per_glimpse))
      metric2d = var_per_glimpse

    metric2d = tf.squeeze(metric2d, axis=3)
  _, locations_t = utils.sort2d(
      metric2d,
      position_channels,
      first_k=num_times,
      direction="DESCENDING")
  locations_t = tf.unstack(locations_t, axis=0)

  return locations_t

class SaccaderCell(object):
  """Saccader Cell.

  Network that emits a glimpse location at each time and store a memory of
  previously visited locations in cell memory state.

  Attributes:
    soft_attention: Emission network object.
    num_units: Glimpse network object.
    var_list_location: List of variables for the location network.
    var_list_classification: List of variables for the classification network.
    var_list: List of all model variables.
    init_op: Initialization operations for model variables.

  """

  def __init__(self, soft_attention):
    """Init.

    Args:
      soft_attention: (Boolean) If True use soft attention prediction.
    """
    self.soft_attention = soft_attention
    self.var_list = []
    self.init_op = None

  def collect_variables(self, vs):
    """Collects model variables.

    Args:
      vs: Tensorflow variables.

    Populates self.var_list with model variables and self.init_op with
    variables' initializer. This function is only called once with __call__.
    """
    # All variables.
    self.var_list = vs
    self.init_op = tf.variables_initializer(var_list=self.var_list)

  def __call__(self,
               mixed_features2d,
               cell_state,
               logits2d,
               is_training=False,
               policy="learned"):
    """Builds Saccader cell.

    Args:
      mixed_features2d: 4-D Tensor of shape [batch, height, width, channels].
      cell_state: 4-D Tensor of shape [batch, height, width, 1] with cell state.
      logits2d: 4-D Tensor of shape [batch, height, width, channels].
      is_training: (Boolean) To indicate training or inference modes.
      policy: (String) 'learned': uses learned policy, 'random': uses random
        policy, or 'center': uses center look policy.
    Returns:
      logits: Model logits.
      cell_state: New cell state.
      endpoints: Dictionary with cell parameters.
    """
    batch_size = tf.shape(mixed_features2d)[0]
    _, height, width, channels = mixed_features2d.shape.as_list()
    reuse = True if self.var_list else False
    position_channels = utils.position_channels(mixed_features2d)

    variables_before = set(tf.global_variables())
    with tf.variable_scope("saccader_cell", reuse=reuse):
      # Compute 2D weights of features across space.
      features_space_logits = tf.layers.dense(
          mixed_features2d, units=1,
          use_bias=False, name="attention_weights") / tf.math.sqrt(
              float(channels))

      features_space_logits += (cell_state * -1.e5)  # Mask used locations.
      features_space_weights = utils.softmax2d(features_space_logits)

      # Compute 1D weights of features across channels.
      features_channels_logits = tf.reduce_sum(
          mixed_features2d * features_space_weights, axis=[1, 2])
      features_channels_weights = tf.nn.softmax(
          features_channels_logits, axis=1)

      # Compute location probability.
      locations_logits2d = tf.reduce_sum(
          (mixed_features2d *
           features_channels_weights[:, tf.newaxis, tf.newaxis, :]),
          axis=-1, keepdims=True)

      locations_logits2d += (cell_state * -1e5)  # Mask used locations.
      locations_prob2d = utils.softmax2d(locations_logits2d)

    variables_after = set(tf.global_variables())
    # Compute best locations.
    locations_logits = tf.reshape(
        locations_logits2d, (batch_size, -1))
    all_positions = tf.reshape(
        position_channels, [batch_size, height*width, 2])

    best_locations_labels = tf.argmax(locations_logits, axis=-1)
    best_locations = utils.batch_gather_nd(
        all_positions, best_locations_labels, axis=1)

    # Sample locations.
    if policy == "learned":
      if is_training:
        dist = tfp.distributions.Categorical(logits=locations_logits)
        locations_labels = dist.sample()
        # At training samples location from the learned distribution.
        locations = utils.batch_gather_nd(
            all_positions, locations_labels, axis=1)
        # Ensures range [-1., 1.]
        locations = tf.clip_by_value(locations, -1., 1)
        tf.logging.info("Sampling locations.")
        tf.logging.info("==================================================")
      else:
        # At inference uses the mean value for the location.
        locations = best_locations
        locations_labels = best_locations_labels
    elif policy == "random":
      # Use random policy for location.
      locations = tf.random_uniform(
          shape=(batch_size, 2),
          minval=-1.,
          maxval=1.)
      locations_labels = None
    elif policy == "center":
      # Use center look policy.
      locations = tf.zeros(
          shape=(batch_size, 2))
      locations_labels = None

    # Update cell_state.
    cell_state += utils.onehot2d(cell_state, locations)
    cell_state = tf.clip_by_value(cell_state, 0, 1)
    #########################################################################
    # Extract logits from the 2D logits.
    if self.soft_attention:
      logits = tf.reduce_sum(logits2d * locations_prob2d, axis=[1, 2])
    else:
      logits = gather_2d(logits2d, locations)
    ############################################################
    endpoints = {}
    endpoints["cell_outputs"] = {
        "locations": locations,
        "locations_labels": locations_labels,
        "best_locations": best_locations,
        "best_locations_labels": best_locations_labels,
        "locations_logits2d": locations_logits2d,
        "locations_prob2d": locations_prob2d,
        "cell_state": cell_state,
        "features_space_logits": features_space_logits,
        "features_space_weights": features_space_weights,
        "features_channels_logits": features_channels_logits,
        "features_channels_weights": features_channels_weights,
        "locations_logits": locations_logits,
        "all_positions": all_positions,
    }
    if not reuse:
      self.collect_variables(list(variables_after - variables_before))

    return logits, cell_state, endpoints

class Saccader(object):
  """Saccader Model.

  Network that performs classification on images by taking glimpses at
  different locations on an image.

  Attributes:
    config: (Configuration object) With attributes:
      num_classes: (Integer) Number of classification classes.
      attention_groups: (Integer) Number of groups in attention network.
      attention_layers_per_group: (Integer) Number of layers in each group in
        attention network.
      representation_config: (Configuration object) for representation network.
    variable_scope: (String) Name of model variable scope.
    saccader_cell: Saccader Cell object.
    representation_network: Representation network object.
    glimpse_shape: 2-D tuple of integers indicating glimpse shape.
    var_list_representation_network: List of variables for the representation
      network.
    var_list_attention_network: List of variables for the attention network.
    var_list_saccader_cell: List of variables for the saccader cell.
    var_list_location: List of variables for the location network.
    var_list_classification: List of variables for the classification network.
    var_list: List of all model variables.
    init_op: Initialization operations for model variables.
  """

  def __init__(self, config, variable_scope="saccader"):
    self.config = copy.deepcopy(config)
    representation_config = self.config.representation_config
    representation_config.num_classes = self.config.num_classes

    self.glimpse_shape = (-1, -1)
    self.variable_scope = variable_scope
    self.saccader_cell = SaccaderCell(soft_attention=self.config.soft_attention)
    self.representation_network = bagnet_model.BagNet(representation_config)
    self.var_list_saccader_cell = []
    self.var_list_representation_network = []
    self.var_list_attention_network = []
    self.var_list_classification = []
    self.var_list_location = []
    self.var_list = []
    self.init_op = None

  def collect_variables(self):
    """Collects model variables.

    Populates variable lists with model variables and self.init_op with
    variables' initializer. This function is only called once with __call__.
    """
    self.var_list_classification = self.var_list_representation_network
    self.var_list_location = self.var_list_attention_network
    self.var_list_location.extend(self.var_list_saccader_cell)
    self.var_list = (self.var_list_classification + self.var_list_location)
    self.init_op = tf.variables_initializer(var_list=self.var_list)

  def __call__(self,
               images,
               num_times,
               is_training=False,
               policy="learned",
               stop_gradient_after_representation=False):

    endpoints = {}
    reuse = True if self.var_list else False
    with tf.variable_scope(self.variable_scope+"/representation_network",
                           reuse=reuse):
      representation_logits, endpoints_ = self.representation_network(
          images, is_training)

    if not self.var_list_representation_network:
      self.var_list_representation_network = self.representation_network.var_list

    self.glimpse_shape = self.representation_network.receptive_field
    glimpse_size = tf.cast(self.glimpse_shape[0], dtype=tf.float32)
    image_size = tf.cast(images.shape.as_list()[1], dtype=tf.float32)
    # Ensure glimpses within image.
    location_scale = 1. - glimpse_size / image_size
    endpoints["location_scale"] = location_scale
    endpoints["representation_network"] = endpoints_
    endpoints["representation_network"]["logits"] = representation_logits
    features2d = endpoints_["features2d"]  # size [batch, 28, 28, 2048]
    logits2d = endpoints_["logits2d"]  # size [batch, 28, 28, 1001]
    what_features2d = endpoints_["features2d_lowd"]
    endpoints["logits2d"] = logits2d
    endpoints["features2d"] = features2d
    endpoints["what_features2d"] = what_features2d

    # Freeze the representation network weights.
    if stop_gradient_after_representation:
      features2d = tf.stop_gradient(features2d)
      logits2d = tf.stop_gradient(logits2d)
      what_features2d = tf.stop_gradient(what_features2d)

    # Attention network.
    variables_before = set(tf.global_variables())
    with tf.variable_scope(self.variable_scope, reuse=reuse):
      where_features2d = build_attention_network(
          features2d,
          self.config.attention_groups,
          self.config.attention_layers_per_group,
          is_training)
      endpoints["where_features2d"] = where_features2d
      # Mix what and where features.
      mixed_features2d = tf.layers.conv2d(
          tf.concat([where_features2d, what_features2d], axis=-1),
          filters=512,
          kernel_size=1,
          strides=1,
          activation=None,
          use_bias=True,
          name="mixed_features2d",
          padding="same")
    endpoints["mixed_features2d"] = mixed_features2d
    variables_after = set(tf.global_variables())
    if not self.var_list_attention_network:
      self.var_list_attention_network = list(
          variables_after - variables_before)
    # Unrolling the model in time.
    classification_logits_t = []
    locations_t = []
    best_locations_t = []
    locations_logits2d_t = []
    batch_size = tf.shape(mixed_features2d)[0]
    _, height, width, _ = mixed_features2d.shape.as_list()
    cell_state = tf.zeros((batch_size, height, width, 1), dtype=tf.float32)
    # Engineered policies.
    if policy in ["ordered_logits", "sobel_mean", "sobel_var"]:
      locations_t = engineered_policies(
          images,
          logits2d,
          utils.position_channels(logits2d) * location_scale,
          self.glimpse_shape,
          num_times,
          policy)

      best_locations_t = locations_t
      classification_logits_t = [
          gather_2d(logits2d, locations / location_scale)
          for locations in locations_t]
      # Run for 1 time to create variables (but output is unused).
      with tf.name_scope("time%d" % 0):
        with tf.variable_scope(self.variable_scope):
          self.saccader_cell(
              mixed_features2d,
              cell_state,
              logits2d,
              is_training=is_training,
              policy="random")

    # Other policies
    elif policy in ["learned", "random", "center"]:
      for t in range(num_times):
        endpoints["time%d" % t] = {}
        with tf.name_scope("time%d" % t):
          with tf.variable_scope(self.variable_scope):
            logits, cell_state, endpoints_ = self.saccader_cell(
                mixed_features2d,
                cell_state,
                logits2d,
                is_training=is_training,
                policy=policy)
          cell_outputs = endpoints_["cell_outputs"]
          endpoints["time%d" % t].update(endpoints_)
          classification_logits_t.append(logits)
          # Convert to center glimpse location on images space.
          locations_t.append(cell_outputs["locations"] * location_scale)
          best_locations_t.append(
              cell_outputs["best_locations"] * location_scale)
          locations_logits2d_t.append(cell_outputs["locations_logits2d"])
      endpoints["locations_logits2d_t"] = locations_logits2d_t
    else:
      raise ValueError(
          "policy can be either 'learned', 'random', or 'center'")

    if not self.var_list_saccader_cell:
      self.var_list_saccader_cell = self.saccader_cell.var_list
    self.collect_variables()
    endpoints["classification_logits_t"] = classification_logits_t
    logits = tf.reduce_mean(classification_logits_t, axis=0)
    return (logits, locations_t, best_locations_t, endpoints)


text:
You are here: Home / News / Tron News / Tron zooms past another milestone with latest Coingaming Group tie-up
Tron zooms past another milestone with latest Coingaming Group tie-up
November 9, 2019 by Akash Anand
The Tron Foundation and its native cryptocurrency TRX have both been active members in the cryptocurrency space, be it in terms of developments, price, or announcements. On Wednesday, November 6, the Justin Sun led cryptocurrency revealed another positive step taken by the company by announcing its new agreement with the Coingaming Group.
Tim Heath, the CEO of the Coingaming Group, had stated:
"We always work hard to put our customers at the centre of the universe, and by adding TRX gaming we are once again at the cutting edge of what is possible in this space. We are particularly excited to offer a low minimum deposit threshold and zero transaction fees, ensuring Bitcasino.io and Sportsbet.io gaming can be enjoyed by even more players for the first time."
What has excited fans of the cryptocurrency so much is that popular platforms such as BitCasino.io and Sportsbet.io are part of the Coingaming Group, a conglomerate that is bent upon showcasing the use cases of digital assets. Tron has been a leader in the cryptocurrency gambling world. Outperforming its rivals, such as Ethereum and EOS.
The gambling sector is so big that the total transaction volume across all blockchains in the third quarter of 2019 amounted to a whopping $2.03 billion. This, however, was a 40 percent drop from the holdings in the second quarter, but some members of the community claim that the industry needs to be cut some slack because of the recent bear runs.
With the latest partnership between Tron and Coingaming, users will be able to enjoy a low minimum deposit threshold and zero transaction fee. That means BitCasino.io users will now enjoy the industry's lowest entry levels via Tron (TRX), which, in the long-run, will bring world-class online gaming to an even broader audience.
With a minimum deposit of only 100 TRX (around $2) and no transaction fee, it would be easier and cheaper than ever before for users to bet and play using Tron. This was done in a bid to bring in more first-time players into the field. Justin Sun was not too far in showering praise, with the CEO adding:
"One of the Tron Foundation's core missions is to support growth by providing engaging, real-world use cases for TRX. We've been aware of the market-leading gaming brands operated by the Coingaming Group for some time now; Bitcasino.io and Sportsbet.io are fantastic examples of what is possible when crypto-led products put the customer above everything else."
TRX holders have been ecstatic after the announcement, and many proclaimed that this was the first step in "decentralizing the web" and its applications.
Disclaimer: The presented information is subjected to market conditions and may include the very own opinion of the author. Please do your 'very own' market research before making any investment in cryptocurrencies. Neither the writer nor the publication (TronWeekly.com) holds any responsibility for your financial loss.
Never miss our daily cryptocurrency news, price analysis, tips, and stories. Join us on Telegram | Twitter or subscribe to our weekly Newsletter.
Filed Under: Tron News Tagged With: Crypto Gambling, TRON (TRX)

redpajama_set_name: RedPajamaCommonCrawl


Do you need to increase your checkout capacity in the existing area available? Or do you need to free up space with fewer, more efficient checkouts? When it is time to invest in new checkouts, we help you analyse what you need based on your store area, your customers and their purchasing patterns.
We calculate, simulate and build the solution based on our long experience and extensive knowledge of store flows, capacity measurements, ergonomics and new trends. We can offer you a complete solution for the entire checkout area.
Here we present a small selection of our wide range of manned checkouts.
We see checkouts as a profile-enhancing extension of the store and we develop them exclusively for our clients. We create checkouts that boost and emphasises the concept while being clearly linked to the rest of the fittings.
We can also adapt the functions of checkouts to your company's needs. You decide what you want!
Read more about our customised Checkout Arena solutions here.
Or contacts us for more information.
Next generation manned check out, ScanMate.
FrontMate creates a new meeting space between customers and staff in the checkout area. By combining traditional manned service with express service in a single area, it gives customers the opportunity to choose how they want to check out. It also gives them the feeling they have easy access to personal service. With our FrontMate solution, customers receive the same level of service, regardless of their checkout method.
Option of a multi-service area for tobacco, gaming, post, etc.
An inspirational visit to a store is even better if the checkout process is fast and smooth. CheckMate contains all our knowledge about what makes your customers satisfied and is the product of our experience of optimising checkouts to create a workplace with maximum ergonomics and an efficient, user-friendly checkout area.
A fully equipped, compact, space-saving checkout developed to increase flow and maximise utilisation of the store area. It is a smart supplement for larger checkouts, particularly in convenience goods environments that need to boost flow at peak times.
The Itab C-Max checkout is a flexible checkout that suits all store formats. It is a fully modular checkout available in lengths from 2.400 mm up to 4.000 mm. C-Max can easily work with all types of scanners and cashdrawers, is equipped with conveyor belt, including photo cell and both automatic and manual control, as well as having a full range of accessories.
Modular construction of the checkout saves maximum space during transportation to store and enables changes in configuration in store.
A plain, timeless checkout that meets strict finance and ergonomics requirements. Carisma is available as a checkout or service desk. Options include a light panel on the front, an excellent advertising space on which you can easily change the message.
Do you need a small checkout that can easily be adapted to your needs? Elergo is perfect for small specialist stores, pharmacies and other stores with limited space.
With a cash module, the checkout can easily be used as a payment station. Or add Elergo partitions to quickly transform it into an information or customer service desk.
With our ESA checkout, we are launching an entirely new approach to checkouts with a new production philosophy. ESA is produced and supplied in the same way as our modular shelves, in several finished modules that are combined to form a unit. The small number of components makes installation a quick, easy task.
ESA is available with various configurations, from the basic version with more angular lines to the more heavily designed version with a rounder shape. A wide range of ESA accessories is also available.
F-2000 is a high-quality checkout offering great efficiency. It can handle an average of 46 customers an hour. The model offers a wide range of solutions for the checkout area and has a number of smart details to make work easier. For example, the input belt is fitted with a panic mechanism and the input part has a drive function that helps the cashier place large or heavy items in front of the scanner without needing to stretch.
A checkout specially designed for stores with large products. It was developed with the focus on ergonomics and safety. To make it easier to work with large, heavy products, we have developed a patented, liftable input belt that guarantees optimum flow through the checkout.
The liftable belt allows staff to quickly go to the trolley and help customers with large items.
B 10 is an exit checkout created for demanding environments. An extra wide input belt makes B 10 a very popular checkout solution in interior design and DIY stores.
Customers pass the cashier on the side, making it easier to scan heavy items on trolleys by hand.


This is one of those salads that will always be a hit at any event. It tastes good with just about anything. I've had it with BBQ at my neighbor Sabby's house and she also made it for an event at my house where we served it along with chicken biryani. This is her recipe and I am now sharing it with you. It has a sweet, tangy flavor which leaves the taste buds in delight, hence the name "fruit and veggie delight." Sabby chops everything really small and that takes time and effort. Use a sharp knife to cut up all the fruits and vegetables. Photograph is by Sabby.
1. Cut up all the fruits and vegetables and set aside.
2. Make the dressing by mixing all the ingredients in a bowl. Refrigerate until ready to use.
3. In a large salad bowl, add the spring mix, fruits and veggies.
4. Add dressing when you are ready to serve.


Mostra i risultati per narratore "Robertson Dean"
While the conflict over slavery was a factor in the Civil War, the abolition of slavery did not become a stated objective until Abraham Lincoln's Emancipation Proclamation, which went into effect on January 1, 1863. Now, to commemorate the 150th anniversary of the Proclamation, here is a new, unabridged audio recording of that historic document, freeing the slaves held in the still Confederate-controlled states. Heralded as one of America's most significant documents, this is a piece of history not to be missed.
While the conflict over slavery was a factor in the Civil War, the abolition of slavery did not become a stated objective until President Abraham Lincoln's Emancipation Proclamation, which went into effect on January 1, 1863. Freeing the slaves held in the still Confederate controlled states, it is heralded as one of America's most significant documents.
The Gettysburg Address, delivered by Lincoln on November 19, 1863, in the aftermath of a narrow, bloody Union victory at the Battle of Gettysburg, is considered one of the greatest speeches in American history.
Offering a "CliffsNotes guide" to some of the most important literary works of our time, Benjamin Wiker, author of 10 Books That Screwed Up the World, turns his discerning eye from the great texts that have done damage to Western civilization to the great texts that could help rebuild it.
Sleepy Hollow, a supposedly haunted glen on the outskirts of Tarry Town, is home to a particularly ghoulish fiend - the Headless Horseman - who is said to be the specter of a fallen soldier. Ichabod Crane, a schoolmaster from Connecticut, competes with local hero Abraham 'Brom Bones' Van Brunt for the affections of the young, beautiful, and wealthy Katrina Van Tassel.
Bill Hybels's accessible introduction to prayer has already helped over 400,000 readers develop a rich and regular prayer life in the midst of life's business. Now, in this revised and expanded 10th anniversary edition, he includes new insights from his years of ministry and his own spiritual journey. He shows how to slow down to pray, listen to God, respond to what we hear, practice the presence of God and overcome prayer barriers.
Christians have not always presented an inviting picture to the world. Too often we have failed to show the beauty of authentic Christian love. And the world has disregarded Christianity as a result.In our era of global violence and sectarian intolerance, the church needs to hear anew the challenge of this book.
John Griffith "Jack" London was an American author, journalist, and social activist. He was a pioneer in the then-burgeoning world of commercial magazine fiction and was one of the first fiction writers to obtain worldwide celebrity and a large fortune from his fiction alone. This collection includes "Love of Life", "A Day's Lodging", "The White Man's Way", "The Story of Keesh", "The Unexpected", "Brown Wolf", "The Sun-Dog Trail", and "Negore, the Coward".
Francis Ouimet and Harry Vardon came from different worlds and different generations, but their passion for golf set them on parallel paths that would collide in the greatest match their sport had ever known.
The James Code helps believers go from knowing about God to living for God. Best-selling author of The Joshua Code and The Jesus Code, O. S. Hawkins is back with a new audiobook that is all about putting your faith into action. The James Code is practical, personal, action-packed - and straight from one of the most popular books of the Bible.
Most commentators look at the issue of immigration from the viewpoint of immediate politics. In doing so, they focus on only a piece of the issue and lose touch with the larger picture. Now Thomas Sowell offers a sweeping historical and global look at a large number of migrations over a long period of time. Migrations and Cultures shows the persistence of cultural traits in particular racial and ethnic groups.
This book is the culmination of fifteen years of research and travels that have taken the author completely around the world twice. Its purpose has been to try to understand the role of cultural differences within nations and between nations, today and over the centuries of history, in shaping the economic and social fates of peoples and of whole civilizations.
These selections from the many writings of Thomas Sowell over a period of half a century cover social, economic, cultural, legal, educational, and political issues. The sources range from Dr. Sowell's letters, books, newspaper columns, and articles in both scholarly journals and popular magazines. The topics range from latetalking children to tax cuts for the rich, baseball, race, war, the role of judges, medical care, and the rhetoric of politicians.


Is there any easy way to use Warpgates or Parasites as well as control groups?
Warpgates don't inherit control groups, and parasites victims inherit their killer's control group.
I'm not sure I understand the issue here.
You can assign control groups to any structure with a build queue and what they create will inherit that group, even if spawned at a warp gate.
That does not appear to be the case, hence this post. all my factories were control grouped. Using a warpgate, transported units had no control group.
Maybe its a setting in options or CTRLS?


text:
Current: Anushka
Dhamarukam collects Rs 5.5 crs in Nizam
The first week collection of 'Dhamarukamm' in Nizam alone is Rs 5.5 crores which is said to be higgest in Nagarjuna's career. 'Dhamarukamm' opened to theaters on November 23rd and running successf...Continue reading
Surya's 'Singam 3' To Arrive Theaters On January 26
The makers of 'Singam 3' have officially announced the worldwide release date. The filmmakers say that this highly anticipated film will be released in Tamil and Telugu on January 26, 2...Continue reading
Bad Boy to race with 3 Big Films for 2013 Sankranti
Karthi's 'Bad Boy' (Alex Pandian in Tamil) costarring Anushka, directed by Suraj under Studio Green banner is getting ready to compete with three major Telugu films during this 2013 Sankranthi. K ...Continue reading
Prabhas responds on his link-up rumours with Anushka
Speculation about Prabhas and Anushka Shetty's marriage keeping gossip mills busy from the past few months. Rumours have done the rounds numerous times and however Prabhas has refuted those e...Continue reading
Madhavan to be seen as a musician in Nishabdham
Anushka Shetty starrer thriller Nishabdham is doing a lot of noise. She will be seen as mute artist in this film. Kollywood actor Madhavan will be seen in an important role as well. If sources are ...Continue reading


text:
"The Pfister: History & Story" doc earns Emmy nomination
Original article for http://onmilwaukee.com/
Today, Marcus Hotels & Resorts and The Pfister Hotel announced that its short documentary,"The Pfister: History & Story," received an Emmy nomination in the category of Outstanding Achievement for Documentary Programs – Historical.
Produced last year in order to celebrate the Pfister Hotel's 120th anniversary, the 23-minute mini doc tells of the iconic Milwaukee hotel's origins, evolutions and renovations through interviews with historians – and Bud Selig – and archival footage and photos, as well as through the famous stories, events and figures that the building has housed over a century of existence.
"We wanted to capture the incredible stories that are a part of The Pfister throughout its history for future generations and guests," said Chris Anderson, senior vice president of sales, marketing and brand development for Marcus Hotels & Resorts, as well as one of the spearheads for the documentary. "Throughout the process we discovered that everyone has a Pfister story, from small moments to major life events. The Pfister creates wonderful memories every day."
The film, copyrighted by The Marcus Corporation, was produced by Deb Zindler and Cory Zimmermann of Waukesha-based z2, who are also the recipients of the Emmy nomination. According to The Pfister's press release sent this morning, the documentary required six months worth of research, editing, interviewing, filming and writing.
The three other nominees are "Mound Bayou: Jewel of the Delta" from Urban Ministries Publishing & Communications, "A Farm Winter with Jerry Apps" from Wisconsin Public Television and WDJT/TouchVision's "March on Washington: America 1963."
The Chicago/Midwest chapter Emmy award ceremony will take place on Sunday, Nov. 1. It will be televised live on WYCC Channel 20 in Chicago.


text:
package com.amazonaws.services.codepipeline.model;

import java.io.Serializable;
import com.amazonaws.AmazonWebServiceRequest;

/**
 *

 * Represents the input of a poll for third party jobs action.
 *

 */
public class PollForThirdPartyJobsRequest extends AmazonWebServiceRequest
        implements Serializable, Cloneable {

    private ActionTypeId actionTypeId;
    /**
     *

     * The maximum number of jobs to return in a poll for jobs call.
     *

     */
    private Integer maxBatchSize;

    /**
     * @param actionTypeId
     */

    public void setActionTypeId(ActionTypeId actionTypeId) {
        this.actionTypeId = actionTypeId;
    }

    /**
     * @return
     */

    public ActionTypeId getActionTypeId() {
        return this.actionTypeId;
    }

    /**
     * @param actionTypeId
     * @return Returns a reference to this object so that method calls can be
     *         chained together.
     */

    public PollForThirdPartyJobsRequest withActionTypeId(
            ActionTypeId actionTypeId) {
        setActionTypeId(actionTypeId);
        return this;
    }

    /**
     *

     * The maximum number of jobs to return in a poll for jobs call.
     *

     *
     * @param maxBatchSize
     *        The maximum number of jobs to return in a poll for jobs call.
     */

    public void setMaxBatchSize(Integer maxBatchSize) {
        this.maxBatchSize = maxBatchSize;
    }

    /**
     *

     * The maximum number of jobs to return in a poll for jobs call.
     *

     *
     * @return The maximum number of jobs to return in a poll for jobs call.
     */

    public Integer getMaxBatchSize() {
        return this.maxBatchSize;
    }

    /**
     *

     * The maximum number of jobs to return in a poll for jobs call.
     *

     *
     * @param maxBatchSize
     *        The maximum number of jobs to return in a poll for jobs call.
     * @return Returns a reference to this object so that method calls can be
     *         chained together.
     */

    public PollForThirdPartyJobsRequest withMaxBatchSize(Integer maxBatchSize) {
        setMaxBatchSize(maxBatchSize);
        return this;
    }

    /**
     * Returns a string representation of this object; useful for testing and
     * debugging.
     *
     * @return A string representation of this object.
     *
     * @see java.lang.Object#toString()
     */
    @Override
    public String toString() {
        StringBuilder sb = new StringBuilder();
        sb.append("{");
        if (getActionTypeId() != null)
            sb.append("ActionTypeId: " + getActionTypeId() + ",");
        if (getMaxBatchSize() != null)
            sb.append("MaxBatchSize: " + getMaxBatchSize());
        sb.append("}");
        return sb.toString();
    }

    @Override
    public boolean equals(Object obj) {
        if (this == obj)
            return true;
        if (obj == null)
            return false;

        if (obj instanceof PollForThirdPartyJobsRequest == false)
            return false;
        PollForThirdPartyJobsRequest other = (PollForThirdPartyJobsRequest) obj;
        if (other.getActionTypeId() == null ^ this.getActionTypeId() == null)
            return false;
        if (other.getActionTypeId() != null
                && other.getActionTypeId().equals(this.getActionTypeId()) == false)
            return false;
        if (other.getMaxBatchSize() == null ^ this.getMaxBatchSize() == null)
            return false;
        if (other.getMaxBatchSize() != null
                && other.getMaxBatchSize().equals(this.getMaxBatchSize()) == false)
            return false;
        return true;
    }

    @Override
    public int hashCode() {
        final int prime = 31;
        int hashCode = 1;

        hashCode = prime
                * hashCode
                + ((getActionTypeId() == null) ? 0 : getActionTypeId()
                        .hashCode());
        hashCode = prime
                * hashCode
                + ((getMaxBatchSize() == null) ? 0 : getMaxBatchSize()
                        .hashCode());
        return hashCode;
    }

    @Override
    public PollForThirdPartyJobsRequest clone() {
        return (PollForThirdPartyJobsRequest) super.clone();
    }
}

redpajama_set_name: RedPajamaGithub


Bring this creamy, spicy salad to your next picnic. You don't have to tell anyone it's low in fat! If you can't find butter beans, a Southern delicacy that is slowly making its way up North, try white kidney or lima beans.
Place potatoes in a large saucepan. Cover with water and bring to a boil. Reduce heat and simmer 20 minutes, or until tender. Drain in a colander. Let stand until cool enough to handle. Break potatoes into coarse chunks with a wooden spoon or fork. Combine yogurt and next 4 ingredients. Stir into potatoes, mixing well. Stir in corn, butter beans, green onion and jalapenos. Cover and refrigerate or serve at room temperature.


Be sure to sign up for our newsletter for new products and special promotions!
processing orders 1 - 3 days before the show and resumes 1 - 3 days after.
If you are attending any of the above shows and would like me to bring specific items for you, please email me at least 5 days in advance.


text:
Perspective //
Midnight in Kowloon: A recount from the Hong Kong protests
Josh Höhne reflects on his time as a tourist in the thick of the Hong Kong protests.
Photo courtesy: Josh Höhne. Hong Kongers prepare to build a barricade on Nathan Road.
by Josh Höhne
Last November, I took a trip to Hong Kong to witness "the revolution of our time." I became inspired by the sense of defiant righteousness that seemed to sweep the city, and as a history student, I felt an obligation to bear witness to an epochal moment. Throughout that semester, I studied China's democratic heroes like Dr Sun Yat Sen, and consumed an endless media diet of live-streamed videos and activist group-chats. With the internet, I was able to gain vivid access to a mediated version of the protests, but I felt I needed to see the real thing. Combined with a real sense that it may be now or never, I booked a flight for the evening after my final exam.
I arrived in Hong Kong late at night on the 18th of November 2019 and took the first train from the airport into the city centre. As soon as I stepped out of West Kowloon Station, I realised the answer to the question which had been plaguing me: "How bad can it be over there?"
The nights of the 18th and 19th of November 2019 marked an attempt by the people of Hong Kong to distract their police force from a surrounded urban university campus. The events of November 2019 have become known as the Siege of Polytechnic University. They gained international attention due to dramatic, if anachronistic photos of Students wielding homebrewed bows and arrows.
The situation had turned especially grim. Any student caught escaping the city's urban campus faced arrest and a ten-year prison sentence for charges of rioting. In sympathy with the trapped students of PolyU, the grassroots movement had planned large-scale marches to create a diversion. Tens of thousands had taken to the streets to challenge the police presence at the university, leading to some of the most open street conflict the city had ever seen. It was that night, hours after my final semester 2 exam, that I arrived in Hong Kong.
Leaving the station, I crossed a pedestrian sky bridge passing over a highway. I was greeted with warm sweet air and the clamour of thousands of people. Something like the crowd's buzz at a football match hung in the air. My plan was to ditch my pack and change clothes before heading out for the night. To reach my hostel further up the city's peninsula, I would need only to walk a few blocks and change train lines. Glancing around, I saw a large group of people moving on a sky bridge running parallel to mine, perhaps a stone's throw away. I felt a rush of excitement. They were walking in the direction I wanted to go.
But as I turned to join the crowd, every warning bell and alarm in my head fired in unison. With almost sub-conscious, instinctive analysis you feel in a situation of danger, I registered that the people had stopped, and were now running back towards me. Trying to read the motion of a crowd can be difficult, but there is something unmistakable about people turning and scrambling for safety. What had been a solid mass of people passing over a street, turned instantly into two camps crouched at either end of a twenty-meter stretch of bridge. Below on the street, two armored trucks had stopped just short of the bridge and disgorged a squad of Hong Kong's finest – suited and booted for combat. Two officers stood with tear gas launchers, aimed at the exposed section of the walkway just in front of me. The two groups at either end stood poised, waiting to see what would unfold. With no other obvious choice in front of me, I decided the only way through was forward, so I hoisted my pack and ran the exposed distance.
I covered the stretch of bridge without looking back, and for the rest of that night, I remember feeling a single-minded determination just to keep going through the chaotic atmosphere. Arriving at street level, I got my first sense of the Hong Kong Protests. The highway I had just crossed over – devoid of cars – was filling up with a mass of protesters. The crowd formed a front against a flotilla of police and fire trucks. The flash of petrol bombs illuminated the semi-dark. The street's terrain had been torn apart for the protesters gain: every single brick which formed the tessellating pattern of the sidewalks had been prized, crowbarred or kicked free. Once loose, each chunk was thrown onto the street to slow police vehicles. Streetlights were wrenched from the ground. The sidewalks and streets were an impassable mess of bricks, sand and twisted metal.
Although it was around 11:30 pm, the scene was still heaving with people. That night I saw an even ratio of regular civilians and "Hong Kongers" in all-black getups. These were the front-line agitators, who bore bats and full gas mask helmets, running in packs down the neon-lit streets. Chants intermingled with omnipresent sirens. I continued to make my way up the street, now against the flow of human traffic. It was surreal to be witnessing the kinds of images and conflict I had only seen in sanitized, digital form.
When I got to the subway station I had been looking for, it was as if it had never existed. With metal shutters pulled down over every shopfront in the vicinity, the area that should have shown me Jordan MTR Station was a scene of wreckage. The glass canopy that normally covered a descending staircase was shattered. The subway system was controversially closed early in the evenings and on weekends, bringing waves of accusations of collusion on the part of the operating company. I realised that instead of a quiet air-conditioned ride up the peninsula, I would be picking my way through debris on foot to my hostel.
To gather my thoughts, I sat on the downed beam of an overhead traffic light. Two young guys in all black also sat along the crashed pole and when I asked, one kindly gave me a cotton surgical mask. The faint acrid tinge I could detect on the back my throat had been growing steadily, and I found myself blinking back tears from a residue of tear gas canisters, which would blow with the breeze. I began to make my way north along Nathan Road, the city's main thoroughfare, keeping a careful eye on my footing. I dug through my bag and shifted my passport to the front pocket of my jeans.
I came to an intersection just as a detachment of riot police arrived on foot. The twenty-odd officers interposed themselves between the crowd, blocking passage ahead with round riot shields and helmets. Most of the crowd stopped and began milling at the intersection, but I decided to take a right and look for a route north parallel to Nathan Road. I followed a trickle of people, crowded underneath air-con units and restaurant back doors, to a dim alleyway next to the street. Suddenly, I became aware of sweat breaking out along my brow, accompanied by the taste of acid in my mouth and nose. The people around me began coughing violently, and spitting into the gutter – I felt compelled to do the same, as an invisible cloud of Dioxin Tear Gas funneled its way into the alleyway.
We began to run, compelled to escape the alley into the clear air of the open streets. Tear gas stings your nervous system through the eyes and throat and skin, the burning effect of which is physically impossible to escape. My cotton mask was entirely useless. Weeping, but free from the alleyway, I looked to my left. Another squadron of police was blocking the northern end of the street I had just avoided, detaining whoever had been caught in the middle. This was no doubt the target of the tear gas rounds which spread collaterally to the alleys and side streets. Had I arrived at that block just minutes earlier, I would have been caught directly in the middle of the pincer maneuver. From those blocks, which I would later learn was the epicenter of the night's conflict, the way forward was safe. I was forced to take further detours due to police presence but thankfully stayed clear of tear gas. What should have been a twenty-five-minute walk took well over an hour.
The big question in my mind going into Hong Kong had been how obvious would it be? To what extent was it a media fabrication, and life was still going on like normal. It's pretty obvious to me that there was no exaggeration. In my life, I've never seen anything like Kowloon that night. From the disruption of the trains, to the inescapable conversational topic, to the tactile upheaval of the literal ground underfoot, the protests were the demanding and overriding concern of the city. The unrest for the week peaked after that night, as protesters were urged to show restraint in the leadup to a local council election. After a landslide democratic victory, the marches immediately resumed, as passionate and determined as ever. The Hong Kong protests are still going; however, the mass gatherings have largely been suspended due to fears of public assembly at the height of the coronavirus outbreak.
siege of polytechnic university


In the 2 years we have been keeping bees, I have never seen a round queen cell. Most queen cells are elongated, but this one is a round ball. A week ago this hive was doing fine and had a queen, then while inspecting them we noticed they were a little aggressive. My poor husband got stung 4 times and finally put on his gloves. We looked and did not see any new eggs and searched for the queen, but did not find her. There were 3 other queen cells in the hive too. Maybe the queen died from natural causes? Maybe she was rejected from the hive for some reason? Who knows for sure. The queen cells look like emergency cells, so we left them as is and will check this hive in 2 weeks.
Close up of round queen cell.
What's the Queen Doing There?
We recently moved our nucs into regular sized hives. We opened up one hive and found the queen on top of the inner cover. What is the queen doing there? Since it was a relatively new hive to her we assumed maybe she got a little confused, so we gently guided her back to the opening of the inner cover and back down into the hive.


text:
PNG University Courses
University of Goroka (UoG)
University of Papua New Guinea (UPNG)
Make Money Online – Write for Us
TFF Grant Released to National High, Secondary and Provincial High Schools – NDoE Published
Blog / Education Info / Education Policies / News
The '2018 Free Education TFF grant payment list for National High, Secondary and Provincial High Schools' originally appeared on the National Department of Education (NDoE) website. On the 25th of January 2019, NDoE made the final payment (of ~K38 million)…
TFF Funds Review and Principals Suspension 2019
Education Policies / News / Opinion
TFF Policy Requires Urgent Diagnosis
The Ministry of Education and National Department of Education (NDoE) are implementing the Tuition Fee Free Policy of the People's National Congress government since 2012. The TFF policy intends that children access free education in its entirety from Elementary to…
Right of Children to Free and Compulsory Education
Blog / Education Policies
Sustaning FEE EDUCATION long term
ABSTRACT Though much has been written about the successes and failures of the Tuition Fee-Free Education (TFF) policy in Papua New Guinea, there is a need for in-depth discussion on sustaining the policy not only now, but also in the…
About PNG Insight
PNG Insight is an education blog. It aims to highlight the key developments in the education sector in Papua New Guinea. Started in 2014 on Google's blogger (now self-hosted on Wordpress), PNG Insight strives to be a platform for critical thinking and discussions; and a source of information.
PNG Insight Links
Affiliate Shop
Latest post in your inbox
© Copyright 2019. Designed by PNG Insight


text:
News Release - September 1, 2020
Newly created role to oversee R&D organization and advance precision medicine portfolio vision
CAMBRIDGE, Mass., Sept. 1, 2020 -- (Healthcare Sales & Marketing Network) -- Blueprint Medicines Corporation (NASDAQ: BPMC), a precision therapy company focused on genomically defined cancers, rare diseases and cancer immunotherapy, today announced the appointment of Fouad Namouni, M.D., as President, Research & Development, effective September 1, 2020.
In his new role, Dr. Namouni will lead a joint research and development organization, overseeing all phases of product development from discovery through global registration under a unified portfolio vision, and join the executive management team. Marion Dorsch, Ph.D., Chief Scientific Officer, and Andy Boral, M.D., Ph.D., Chief Medical Officer, will continue to lead the research and clinical development functions, respectively, within the research and development organization.
"We are excited to welcome Fouad, a seasoned drug developer and portfolio strategist, to broaden our ambitious R&D vision, as we complete the evolution of Blueprint Medicines into a fully-integrated, multi-product, global biopharmaceutical company this year," said Jeff Albers, Chief Executive Officer of Blueprint Medicines. "Under his leadership, we will expand development of our lead programs for avapritinib and pralsetinib to maximize their value for patients, build on core R&D capabilities to accelerate our preclinical pipeline, and prioritize new targets and technologies to solidify our leadership in the field of precision medicine."
"I'm pleased to join Blueprint Medicines' talented and accomplished R&D team, which has advanced two lead programs to the precipice of global regulatory approvals, with FDA breakthrough therapy designations across four indications, in just five years since entering the clinic," said Fouad Namouni, M.D., President, Research & Development. "Combined with a highly compelling preclinical pipeline that has the potential to replicate this success, and a culture defined by scientific innovation and an urgency to impact patient need, Blueprint Medicines is uniquely poised to build an industry-leading portfolio of transformative precision therapies."
Dr. Namouni brings more than 20 years of oncology and cancer immunotherapy drug development expertise, as well as clinical experience as a pediatric oncologist. Prior to joining Blueprint Medicines, Dr. Namouni served in leadership roles at Bristol-Myers Squibb (BMS) since 1999, including as the global development lead for the company's practice-changing cancer immunotherapy franchise. Most recently, Dr. Namouni served as Senior Vice President and Head of Oncology Development from August 2016 to April 2020, with responsibility for driving product development plans from early-stage clinical development through commercialization across a portfolio of nearly 30 drug candidates. Previously, he served as Head of Global Medical Affairs overseeing 1,700 employees worldwide from September 2015 to September 2017, and he served as Head of Development at BMS for Opdivo® (nivolumab) and Yervoy® (ipilimumab), immunotherapy medications used in the treatment of cancer, from January 2011 to September 2015. Prior to that, he held roles of increasing responsibility within BMS. Dr. Namouni has served as a member of the board of directors of Aprea Therapeutics Inc. since June 2020. Dr. Namouni holds an M.D. from the University of Annaba Medical School in Algeria, and a Pediatrics degree from Université Rene Descartes in Paris, France. In addition, he received a Pediatric Oncology and Hematology degree and an M.S. in clinical and experimental pharmacology from Université Paris-Sud in France.
Blueprint Medicines is a precision therapy company striving to improve human health. With a focus on genomically defined cancers, rare diseases and cancer immunotherapy, we are developing transformational medicines rooted in our leading expertise in protein kinases, which are proven drivers of disease. Our uniquely targeted, scalable approach empowers the rapid design and development of new treatments and increases the likelihood of clinical success. We have one FDA-approved precision therapy and are currently advancing multiple investigational medicines in clinical development, along with a number of research programs. For more information, visit www.BlueprintMedicines.com and follow us on Twitter (@BlueprintMeds) and LinkedIn.
This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, as amended, including, without limitation, statements regarding expectations related to Blueprint Medicines' ability to build an industry-leading portfolio of precision medicines, including its ability to expand development for AYVAKIT™ (avapritinib); expectations regarding Blueprint Medicines' ability to build on core research and development activities and accelerate its research pipeline; the potential benefits of Blueprint Medicines' current and future approved drugs or drug candidates in treating patients; and Blueprint Medicines' strategy, goals and anticipated milestones, business plans and focus. The words "aim," "may," "will," "could," "would," "should," "expect," "plan," "anticipate," "intend," "believe," "estimate," "predict," "project," "potential," "continue," "target" and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Any forward-looking statements in this press release are based on management's current expectations and beliefs and are subject to a number of risks, uncertainties and important factors that may cause actual events or results to differ materially from those expressed or implied by any forward-looking statements contained in this press release, including, without limitation, risks and uncertainties related to the impact of the COVID-19 pandemic to Blueprint Medicines' business, operations, strategy, goals and anticipated milestones, including Blueprint Medicines' ongoing and planned research and discovery activities, ability to conduct ongoing and planned clinical trials, clinical supply of current or future drug candidates, commercial supply of current or future approved products, and launching, marketing and selling current or future approved products; Blueprint Medicines' ability and plans in establishing a commercial infrastructure, and successfully launching, marketing and selling current or future approved products, including AYVAKIT; Blueprint Medicines' ability to successfully expand the approved indications for AYVAKIT or obtain marketing approval for AYVAKIT in additional geographies in the future; the delay of any current or planned clinical trials or the development of Blueprint Medicines' current or future drug candidates; Blueprint Medicines' advancement of multiple early-stage efforts; Blueprint Medicines' ability to successfully demonstrate the safety and efficacy of its drug candidates and gain approval of its drug candidates on a timely basis, if at all; the preclinical and clinical results for Blueprint Medicines' drug candidates, which may not support further development of such drug candidates; actions of regulatory agencies, which may affect the initiation, timing and progress of clinical trials; Blueprint Medicines' ability to develop and commercialize companion diagnostic tests for its current and future drug candidates; and the success of Blueprint Medicines' current and future collaborations, partnerships or licensing arrangements. These and other risks and uncertainties are described in greater detail in the section entitled "Risk Factors" in Blueprint Medicines' filings with the Securities and Exchange Commission (SEC), including Blueprint Medicines' most recent Annual Report on Form 10-K, as supplemented by its most recent Quarterly Report on Form 10-Q and any other filings that Blueprint Medicines has made or may make with the SEC in the future. Any forward-looking statements contained in this press release represent Blueprint Medicines' views only as of the date hereof and should not be relied upon as representing its views as of any subsequent date. Except as required by law, Blueprint Medicines explicitly disclaims any obligation to update any forward-looking statements.
Opdivo® and Yervoy® are registered trademarks of Bristol-Myers Squibb Company. All other trademarks and trade names in this press release are the property of Blueprint Medicines Corporation.


text:
Johnny Manziel Never Wanted To Play In Canada, Says Warren Moon
Johnny Manziel Never Wanted To Play In Canada ... Says Warren Moon
CLEAN IT UP
Johnny Manziel NEVER really wanted to play in Canada ... and might've purposely violated the terms of his contract to force his way out of the CFL -- so says Warren Moon.
"Maybe he did that on purpose," the Hall of Fame QB tells TMZ Sports ... "Because now there's other options out there."
Of course, Johnny was banned from the CFL on Wednesday after the league announced he failed to live up to the terms of his contract -- which required, among other stipulations, mandatory doctor and therapist visits.
For his part, Manziel didn't deny the claims, saying, "I want to thank Coach Sherman, my teammates, and the CFL fans. My time there reestablished my love for the game of football and the work that goes into it."
Now ... Moon is suggesting it was all part of a bigger plan to get Johnny back playing ball in America for either the newly formed AAF or the upcoming XFL.
"There's more opportunities for him to play in the United States than play in Canada, so maybe that's part of the reason why he violated some of those restrictions in his contract."
Manziel reportedly had minor talks with the AAF ... but the San Antonio Commanders will get the first crack at signing the former Heisman Trophy winner when those talks progress.
Moon tells us if Manziel eventually will end up there and ball out ... he can see a scenario where the former first-round pick gets another NFL deal.
Johnny Manziel Thinks Kanye West Is Afraid of Drake
Warren Moon Says Kyler Murray Will Be Great NFL Quarterback
Johnny Manziel Warren Moon TMZ Sports Exclusive XFL Football NFL


Without a doubt, the most creative quilt at the Northwest Quilting Expo was made by Flora Joy of Johnson City, Tennessee. She wrote, "Twelve separate, freestanding curvy blocks have been sewn at their top borders to a separate base quilt. Viewers can lift each Dutch doll/Sunbonnet Sue to read the block's unusual but true story and glean numerous tips for making their own similar blocks. These pieces collectively reflect the quilter's metaphorical "fabric autobiography".
FabricZoom, located in Beaverton, OR was at the show offering a new service I was not familiar with. They sell fabric printers in three sizes: 57″, 39″, and 27″ in width. The printer is flexible able to print a variety of fabrics from sheer silk chiffon to super thick burlap. Something to further check out.
I'm unable to show photos of the winning quilts from the Boise Basin Quilters Show as it wasn't hung before I left. But I can post photos of the two quilts chosen by me and my fellow judge, Andi Perejda, for a special award called the Award of Merit. We are both certified through the National Association of Certified Quilt Judges and can at our discretion select a quilt at each show for this honor. You can read more about the award here.
My award went to "Mason Jar Bouquet" by Deana Steel of Twin Falls, ID. I cannot say enough good things about this stunning original design.


text:
Pavarotti And Celine Dion Duet For Children's Charity
Peter Stewart
Luciano Pavarotti was one of the most acclaimed and popular tenors of all time. Celine Dion is the best-selling Canadian musician, and the best-selling French-language recording artist, to date. In 1996, Dion invited Pavarotti to sing on her song "I Hate You Then I Love You" for her album Let's Talk About Love (1997; #1 around the world).
On 9 June 1998, Celine Dion returned the favour when she joined Pavarotti for a performance of the song at the Pavarotti and Friends benefit concert for the children of war-torn Liberia. The show was broadcast live on BBC, PBS, and US cable channels. It was later released as a compilation album and DVD.
For fans of Luciano Paverotti, the duets with Celine Dion are one song amongst many. Towards the end of his long and distinguished career, Pavarotti became known to, and loved by, a global audience while performing as The Three Tenors with Plácido Domingo and José Carreras during the 1990 FIFA World Cup. Thereafter, Pavarotti crossed over into popular music and became famous for his many collaborations.
Pavarotti used his late-career popularity to raise funds for charity. Notably, he embarked on a series of Pavarotti and Friends benefit concerts, where each song featured a special musical guest. Between 1992 and 2003, there were ten of these concerts, each supporting a different cause. The list of Pavarotti's "friends" is astonishing: Sting, James Brown, Bono, Lou Reed, Lisa Minelli, Meatloaf, Barry White and many more. Predictably, Pavarotti was criticised for performing pop songs.
Pavarotti had little time for those who denigrated popular music. He said:
"Some say the word pop is a derogatory word to say 'not important'—I do not accept that. If the word classic is the word to say 'boring,' I do not accept. There is good and bad music."
Of all Pavarotti's performances with his friends, it is the duet with Celine Dion that is the most polarising. For Dion's many fans, the live version of "I Hate You Then I Love You" is a highpoint of her illustrious career. One need only look at the glowing comments under the video for confirmation of this.
Critics have been less kind. In this regard, the Wikipedia entry on the duet is unusually forthright. Under "Critical Reception" it quotes New York Observer editor Jonathan Bernstein:
""I Hate You Then I Love You," a retitled remake of an old Shirley Bassey song, "Never Never Never," is a clattering camp travesty during which the big man and the little sparrow indulge in some pent-up sexual jousting. All the unleashed octaves in the world fail to expunge the mental image of the most unfeasible coupling since Biggie Smalls and Li'l Kim".
Categories Duets, Interesting
Liliac Kids Family Band Enter Sandman Cover
The Tragedy And Triumph Of Roy Orbison's "Oh, Pretty Woman".


text:
in: Sprague (surname), Born in 1656, Died in 1728
John Sprague (1656-1728)
John Sprague
1656 Duxbury, Plymouth County, Massachusetts
6 March 1728 Lebanon, New London County, Connecticut
Ruth Bassett (1632-c1694)
Lydia Unknown Sprague (1658-1725)
1683 Plymouth County, Massachusetts
partner (2):
Lois Abel Standish (1677-1731)
Wedding (2):
21 March 1726 Lebanon, New London County, Connecticut
John Sprague was born 1656 in Duxbury, Plymouth County, Massachusetts to John Sprague (1630-1676) and Ruth Bassett (1632-c1694) and died 6 March 1728 Lebanon, New London County, Connecticut of unspecified causes. He married Lydia Unknown Sprague (1658-1725) 1683 in Plymouth County, Massachusetts. He married Lois Abel Standish (1677-1731) 21 March 1726 in Lebanon, New London County, Connecticut.
2 Marriage and Family
2.1 1st Marriage : Lydia ?
2.2 2nd Marriage : Lois Standish
6 Residences
John Sprague was Constable of Duxbury, Massachusetts in 1692, and held other public trusts there at various times from 1684 to 1701. He was one of the conspicuous members of the Church in Duxbury.
January 8, 1702-3, John Sprague, "Mariner," and Lydia his wife, of Duxbury, deeded 40 acres of upland with dwelling house and barn standing thereon in Duxbury for 125 pounds to Israel Sylvester of Scituate. His last deed in Duxbury was given January 28, 1703. He removed to Lebanon, CT, probably in the spring of this year and became the owner of much land there.
July 14, 1718 John Sprague Sr. and John Sprague Jr. agree to liberate Jack, an Indian slave bought by them when he has served faithfully 12 years, and give him a colt which they agree to keep free of charge until Jack sees fit to dispose of him. They also give him a ewe sheep, which they agree to keep and her increase for two years.
July 6, 1726 Will mentions beloved wife, Mrs. Lois Sprague's, granddaughter, Mary Way and son Ephraim Sprague. Lt. John Sprague was a weaver and legislator. "Sprague Families in America", by Dr. Warren Vincent Sprague, page 12."
1st Marriage : Lydia ?
John Married 1st Lydia who was b. July 18, 1658 in Duxbury, Plymouth Co., MA she died July 18, 1725 in Lebanon, New London Co., CT m. bef Nov 6, 1683 in Duxbury. From the records of the Colony of New Plymouth, "Shurtlif, 6:115. At the Court at Plymouth the sixth of Nov 1683 John and Lydia were after contract were fined five pounds for fornication."
Their Children: 1. Capt. Ephraim Sprague born March 15, 1684/85 in Duxbury, Plymouth Co., MA and died November 1754 in Lebanon, CT. He married 1st Deborah Woodworth abt 1728 in Lebanon, CT and 2nd Abigail Calkin in Lebanon, CT and 3rd wife May 1727 in Duxbury, MA and died after 1788 in Dutches, Dutches Co., NY. Married 1727 2. Benjamin Sprague born July 15, 1686 in Duxbury, MA July 7, 1754 in Lebanon, CT. Married 1st Mary Woodworth December 29, 1707 in Lebanon, CT; 2nd Wife Prudence Minor Sprague married January 26, 1725/26 in Stonington, New London Co., CT and married 3rd Abigail Hodge Tisdale Sprague married before 1727. 3. Capt. John Sprague born September 1692 in Duxbury, Plymouth Co., MA and married February 22, 1710 in Lebanon, New London Co., CT Mary Babcock born abt 1692. John died 1760 in Canaan, Litchfield Co., CT. 4. Samuel Sprague born December 31, 1688 in Duxbury, Plymouth Co., MA and died April 6, 1763 in Canaan, Litchfield Co., CT at age 76. 5. Lydia Sprague born 1692 in Duxbury, Plymouth Co., MA she died March 3, 1762 probably in Sharon, Litchfield Co., CT at age 70. 6. Irene Sprague born abt 1701 in Duxbury, Plymouth Co., MA and baptized 1701 in Plympton, Ma, she married July 9, 1723 Aaron Fish who was born abt 1700. 7. Ruth Sprague born September 3, 1704 in Lebanon, New London Co., CT and married November 12, 1724 to Clodus Dillis born abt 1700. 8, Ebenezer Sprague born abt 1705 in Lebanon, New London Co., CT
2nd Marriage : Lois Standish
2nd Wife Lois Standish m. March 21, 1725/26 in Lebanon, CT
No Children -
Offspring of John Sprague and Lydia Unknown Sprague (1658-1725)
Ephraim Sprague (1685-1754)
Benjamin Sprague (1686-1754)
Samuel Sprague (1688-1725)
Lydia Sprague (1692-1762) 1692 Duxbury, Plymouth County, Massachusetts 3 March 1762 Sharon, Litchfield County, Connecticut George Way (1691-1760)
Irene Sprague (1701-)
Ruth Sprague (1704-1760)
John Sprague at Find A Grave #116176792
MainTour
Sprague (surname)


A great set of 4 stainless steel rose petal shaped cutters in 4 different sizes. Great for making sugarpaste roses and other similar flowers for cakes and cupcakes.
Cutter sizes are approx 1.2cm, 2.1cm, 3.1cm & 3.6cm in length. The cutters can be used to cut out shapes for applique or to make three dimensional sugar roses.


Almost every leader has developed a process designed to avoid critical strategic mistakes, but, as the world continues to grow more complex, it's much harder to anticipate all the changes and forces that may impact your final goal. Therefore, finding weaknesses in your strategies before you implement them and developing a rigorous process for doing so are vital. The innate ability to poke holes in one's own strategies is something the US military has practiced and refined over centuries. Tips include forming teams that consider alternative scenarios to an expected outcome while brainstorming solutions to those scenarios if they occur; forming a council that will offer you the unvarnished truth; performing "war games" to poke holes in your own strategies; and forming a strategic council that can analyze situations from different perspectives.
Every leader wants to avoid major strategic mistakes, but, in a complex world, it's hard to anticipate all the forces that might impact your goal. It's vital to find weaknesses in your strategies before you implement them — and developing a rigorous process to do so.
The ability to poke holes in one's own strategies is something the U.S. military has practiced and refined over centuries. Rick served in the U.S. Army for 35 years, retiring as a Lieutenant General, and has seen this firsthand. In the heat of battle, strategic planning that's incomplete or simply wrong causes leaders to revert to on-the-spot decision making. While sometimes necessary, making it up as you go is more often associated with failure — and loss of life — and is often a symptom of ineffective or inaccurate anticipation of competitive moves or environmental shifts.
The same is true in business, and the techniques the military has honed can help executives anticipate problems and change course when necessary.
Simply put, situational awareness (SA) is achieved after a soldier has deliberately assessed an environment from various vantage points and has ensured that all potential perspectives have been captured.
In the business world, things are fuzzier — there are no landscapes, buildings, or troop movements to scan. But it's still crucial to make sense of the environments in which we operate and foresee how different factors will affect our decisions.
One way to build one's situational awareness is to talk through alternate realities. Although this sounds like science fiction, alternative realities are basically hypotheticals. We think X will happen, but what if Y or Z happens?
At Merck, where Jay served as Chief Strategy and Business Development Officer and President of Emerging Businesses, "alternate realities" were used to prevent "team think," which frequently occurs when organizations believe the conventional view of a situation is the correct one.
To develop better situational awareness, start by forming teams and tasking them to develop alternatives based on different views of the same situation. For example, what if a new competitor enters the market earlier than expected? What could they do that would surprise and/or outmaneuver us? What if they are delayed; what types of things might they do to try to recover and penetrate the market more quickly? Could any of their actions be extreme or desperate? What actions could and should our team consider mitigating or blunting the risk in these alternate scenarios?
The next step is to compare these hypotheticals collectively and then determine what counter measures will have the most impact.
Most importantly, make sure to consider specific "triggers" that would indicate one or more of the alternative scenarios is unfolding. Agreeing on these triggers up front is useful because they prospectively define specific thresholds for change in action or direction. Once identified, you should track these triggers regularly on a dashboard that all senior team members see. This eliminates or greatly reduces debate when course changes become necessary and urgent. Then, make sure that group leaders complete an SA assessment regularly and discuss the alternate scenarios and triggers during each business review.
Small investments of time can result in new insights about your organization's readiness, and your leaders' acumen, that would have gone unnoticed until crisis.
This is another technique that's routine in the military and can highlight unique but under-leveraged capabilities or untapped sources of competitive advantage. Think of aircraft. For a long time, the military used planes primarily to increase visibility of topography and troop movements, but starting in the early 1900s, the military began using planes to delivery ordinance and to conduct warfare. What are your organization's aircraft?
Frequently, these are ancillary assets or capabilities that are often considered to be a "cost of doing business." These could include a controlled global supply chain, unique abilities to test compounds, proprietary communication channels with key constituents, unique manufacturing machinery, etc. Think to yourself: In future scenarios, could any of these become new lines of business? If your environment changes unexpectedly could any of them help you to adapt?
In companies, an outside-in perspective can help shape an honest view of your organization's strengths (and weaknesses). Customers can be a great source for this and forming a strategic advisory council is another option.
Another practice is war-gaming, and there is often no substitute for putting real people into the mix to see how they react. Even complex AI simulation, while helpful, can lack the variability and ingenuity of human creativity. The US Military has become an expert in preparing for combat operations using war games. Most notable is the establishment of the National Training Center in the Mohave Desert in California where the US Army conducts live, force-on-force battles to refine its capabilities.
At Merck, war-gaming exercises around critical decisions were used frequently. The best way to do this is to assign high performing managers to lead "opposing" teams, which should be made up of individuals with expertise across relevant functional areas. Before the exercise, make sure to prepare a background that outlines the general challenge and provides specific information and data. A best practice is to task the line area most responsible for the situation with organizing and leading the overall exercise — and to make sure that each group presents their findings at the end. Incentivizing "opposing" teams for success will help ensure a robust simulation. For example, consider inviting a senior leader to judge the readout, and offering a cash bonus or team recognition for the winning team, or both.
Finally, form strategic initiatives groups, and populate them with people who can analyze problems from various perspectives.
At Merck, the strategic initiative group often came up with alternate decisions and actions on key business issues. In one case, the choice to position a new product as second line treatment versus trying to displace a well-accepted initial therapy turned out to be uniquely advantageous, helping achieve a launch that far exceeded expectations.
Rick Lynch served in the US Army for 35 years, retiring as a Lieutenant General. His last job in the Army was commanding all of the US Army Installations (163 world wide) with a workforce of 120,000 and an annual budget of $15B. He is the author of Adapt or Die: Battle Tested Principles for Leaders and Work Hard Pray Hard: The Power of Faith in Action.
Jay Galeota was the Chief Strategy and Business Development Officer and President of Emerging Businesses at Merck and is now the President of G&W Laboratories, Inc.


text:
using nsNotenizerObjects;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace nsComparsions.Functions
{
    public static partial class ComparsionFunctions
    {
        public static bool SamePartOfSpeechTag(NotenizerWord firstW, NotenizerWord secondW)
        {
            return firstW.POS.Tag == secondW.POS.Tag;
        }

        public static bool SameNER(NotenizerWord firstW, NotenizerWord secondW)
        {
            return firstW.NamedEntity.Value == secondW.NamedEntity.Value;
        }

        public static bool SameIndex(NotenizerWord firstW, NotenizerWord secondW)
        {
            return firstW.Index == secondW.Index;
        }

        public static bool SameLemma(NotenizerWord firstW, NotenizerWord secondW)
        {
            return firstW.Lemma == secondW.Lemma;
        }

        public static bool SamePosition(NotenizerDependency firstD, NotenizerDependency secondD)
        {
            return firstD.Position == secondD.Position;
        }

        public static double CalculateClosenessWords(NotenizerWord firstW, NotenizerWord secondW, double comparisonValue, int count)
        {
            return CalculateCloseness(firstW.Index, secondW.Index, comparisonValue, count);
        }

        public static double CalculateClosenessDependencies(NotenizerDependency firstDep, NotenizerDependency secondDep, double comparisonValue, int count)
        {
            return CalculateCloseness(firstDep.Position, secondDep.Position, comparisonValue, count);
        }

        private static double CalculateCloseness(int firstIndex, int secondIndex, double comparisonValue, int count)
        {
            return comparisonValue - (Math.Abs(firstIndex - secondIndex) * (comparisonValue / count));
        }
    }
}


text:
Ignacy Izaak Azar (ur. ?, zm. ?) – w latach 1709–1722 106. syryjsko-prawosławny Patriarcha Antiochii.

Przypisy

Syryjsko-prawosławni patriarchowie Antiochii
Zmarli w XVIII wieku

redpajama_set_name: RedPajamaWikipedia


text:
<?php
/**
 * Message translations.
 *
 * This file is automatically generated by 'yii message' command.
 * It contains the localizable messages extracted from source code.
 * You may modify this file by translating the extracted messages.
 *
 * Each array element represents the translation (value) of a message (key).
 * If the value is empty, the message is considered as not translated.
 * Messages that no longer need translation will have their translations
 * enclosed between a pair of '@@' marks.
 *
 * Message string can be used with plural forms format. Check i18n section
 * of the guide for details.
 *
 * NOTE: this file must be saved in UTF-8 encoding.
 */
return [
    'CSV' => '',
    'Excel 2007+' => '',
    'Excel 95 +' => '',
    'Export data as Comma Separated Values (CSV). Ok to proceed?' => '',
    'Export data as Excel 2007+ (xlsx) format. Ok to proceed?' => '',
    'Export data as Excel 95+ (xls) format. Ok to proceed?' => '',
    'Export data as Portable Document Format (PDF). Ok to proceed?' => '',
    'Export data as a HTML file. Ok to proceed?' => '',
    'ExportWorksheet' => '',
    'HTML' => '',
    'PDF' => '',
    'Save as CSV' => '',
    'Save as Excel (xls)' => '',
    'Save as Excel (xlsx)' => '',
    'Save as HTML' => '',
    'Save as PDF' => '',
    'grid-export' => '',
];


text:
@implementation SimpleObject

- (void)dealloc {
    [_value release];
    [super dealloc];
}

- (NSString *)description {
    return _value;
}

- (id)initWithValue:(NSString *)value {
    self = [super init];
    _value = [value retain];

    return self;
}

- (id)initWithWord:(NSString *)word {
    self = [super init];
    _value = [word retain];

    return self;
}

- (NSString *)value {
    return _value;
}

- (NSString *)valueOverride {
    return _value;
}

+ (NSString *)helloMommy {
    return @"Hi Corey!";
}

+ (id)stored:(id)obj {
    static id stored;
    if (obj) {
        [stored release];
        stored = [obj retain];
    }

    return stored;
}

@end


Side by side ranch style duplex. Separate tenant paid utilities including water & sewer. Convenient location. Separate driveways. Private basements. TENANT OCCUPIED, DO NOT DISTURB TENANTS.
This $70,000 property has approximately 1,780 square feet and was built in 1958. This home is located in the Detroit school district. Properties located in the Detroit district have an average price per square foot of $34/SqFt. Houses with similar square footage range in price from $37,900 to $70,000 and have an average price per square foot of $37/SqFt. Depending on where you live in Detroit your children and/or teenagers may go to the Detroit school district, Lincoln Consolidated school district, or Hamtramck school district.
I was searching for a Property and found this listing (MLS® #218062665). Please send me more information regarding 19154 Lahser Rd, Detroit, MI, 48219. Thank you!
I'd like to request a showing of 19154 Lahser Rd, Detroit, MI, 48219 (MLS® #218062665). Thank you!


text: Q: File has both lf and crlf modes A file I am working on has both crlf and lf modes. Upper half is crlf and lower half lf. When I save it in lf mode, git diff shows modification in upper half and when I save it in crlf mode, git diff shows modification in lower half. I want to keep the file as is and add some of my changes. How should I go round that?

redpajama_set_name: RedPajamaStackExchange


The 2018 New Jersey Primary is underway. Polls are open until 8 p.m. Registered Democrats and Republicans and Independents willing to declare a party affiliation at the polls are choosing their party nominees for Congressional races that could sway the balance of power between Republicans and Democrats in Washington. To help us walk through who some of them are and what's at stake, we were joined by Republican Strategist Dale Florio, Democratic Strategist Chris Donnelly and Fairleigh Dickinson University Political Science Professor Dan Cassino.
Hill: First question, Dale let me ask you this, which of these races are you watching and tell me why.
Florio: Well, I'm looking at the Hugin, Menendez race for the U.S. Senate because I'm looking to see what the enthusiasm level might be for the incumbent, Bob Menendez. I think that's critical.
Hill: Alright Chris how about you?
Donnelly: I think Democrats are looking at all of the races in which the current incumbent Republicans are retiring, Republican congressmen, because as you mentioned we have a chance to take back the House in November and every seat could be possibly up for grabs.
Williams: What have you gentlemen been hearing about voter turnout and what could that telegraph for people's enthusiasm in November in terms of voting?
Cassino: Well, last time Bob Menendez was up for election, the primary in 2012 there were 235,000 votes cast on the Democratic side, about 170,000 on the Republican side. We're going to expect that number to go up pretty dramatically this year mostly driven by these competitive House races in New Jersey's 2nd, 5th, 9th and 11th Congressional districts.
Hill: And when you start talking about party support in a state like this at this particular time, what has driven some of the parties to support the candidates they have chosen to support?
Cassino: We're actually seeing a lot of division within parties in some districts, something especially in New Jersey's 5th Congressional district. Republicans might be blowing a chance to pick up a seat by nominating someone that can't win in November. We're seeing a similar thing happening in the 11th Congressional district where we got a very conservative Republican against a moderate and the difference between the primary electorate and a general electorate is going to be a huge problem for Republicans in some of these districts going forward.
Hill: Chris same question for you.
Donnelly: Well, I think on the Democratic side, there's a lot of excitement because in all the districts that you look at where there's potential to take back a Republican seat, you have extremely qualified Democratic candidates. So, I think regardless of what the outcome in those districts are tonight, what's going to emerge is a slate of incredibly qualified, viable candidates who have a chance to win back any and all of those seats.
Florio: And they're going to need qualified candidates because the incumbents that the Republicans have in those districts are very strong. They been for a long time. I know the Democrats are hoping that there's an anti-Trump wave this year. But, you have candidates in incumbents there who have disagreed with the president when they felt they needed to disagree. So, it's not what the Democrats think it's going to be.
Williams: Have the candidates who are primarying sitting Representatives and even those, for instance, in the 11th district, which is an open seat, are you seeing them pushing candidates more toward the center or more toward the progressive or conservative wings of their parties?
Florio: Well I mean in the 11th district, where there's a Republican primary to replace Rodney Frelinghuysen, there is the spectrum of candidates. We have some of what I would call moderates and more conservative candidates. So, we'll see what happens tonight, but that district is a Republican district. They're likely to nominate a very capable Democrat, but it is a Republican district.
Cassino: There's also the issue of this enthusiasm biting back against Democrats a little bit. If we go over New Jersey's 2nd district down South Jersey there is a very conservative Democrat and he's got 100 percent rating from the NRA. He's not what a lot of people would call a strong Democrat. Except he's got three liberals running against him, they're going to split the vote and he's going to walk into the nomination tonight.
Hill: Let me ask you this, Dale you mentioned Trump. What impact will Trump have on these races do you think?
Florio: We have to see when we get into October. There was a lot of anti-Trump sentiment. I think we sense that it's evening out a little bit around the country and you really can't tell. Much like Gov. Murphy will be very much in focus for Republicans next year during the midterm election. So, you really have to see when we get in September and October to see what impact it truly will have.
Hill: Chris are you seeing any impact? Is this motivation?
Donnelly: Yes, I think it's undeniable. History shows that the midterm elections for a president's first term, regardless of party, is always a sort of referendum on the president themselves and clearly President Trump is not a popular person in the state of New Jersey. He lost here by a large margin. He's been around 30 percent approval rating. I don't see how he is not a factor in moving forward especially given what we have seen from the administration in the last year and a half and how badly New Jersey has fared under this Administration and this Congress.
Williams: Have you seen the major parties focusing as they have in California on New Jersey this year by putting money behind candidates?
Florio: Well without a doubt. We'll see more of it come the fall. I mean really the preferred candidates by both the Republicans and the Democrats are not really being challenged to a large degree in the primaries. So, people are withholding funds. The only person whose really spent any kind of money is Bob Hugin because he's already put $20 million of his own money into the race.
Cassino: The other issue is if I'm the Democratic party or the Republican party, I'm not sure I want to spend a lot of money in New Jersey because for the cost of one Congressional seat in New Jersey, I can get five Congressional seats in Oklahoma. It's just a real expensive race to run. There's been a lot of money coming in, but it's not been the national party money.


Hypnotherapist - New York - Is Hypnosis For Me? What can I use it for?
Is HYPNOSIS for ME ? What can I use it for?
When your core negative beliefs are holding you back.
Build Unstoppable Self Confidence & Increase Self Esteem.
Harness Performance Anxiety. Be your best at the podium.
Manage Stress, Dissipate that bottled up stress.
Ace those exams. Interview with confidence.
Relieve excessive pain, heal from within.


It looks like we do not have any campgrounds in our database for camping in Middletown, Connecticut.
We did however find 20 campgrounds within 25 miles of Middletown. You can also find a list of cities with campgrounds or RV Parks near Middletown in the left hand column.


The unique and proven Kineo system enables the 'Classic Spoked Look' to be available for your Honda Transalp XL700V... but with all the dynamic handling and safety benefits provided by modern tubeless tyres. They are also fully compatible with tubed-type off road tyres too.
Rear Wheel: 3.75 x 17.0"
!700, xlv, 07, 08, 09, 10, 11, 12, 13, 2007, 2008, 2009, 2010, 2011, 2012, 2013!