Sustainability in fashion is hard to come by in this day and age.
In this modern society, fast fashion is definitely a real problem in the fashion industry.
It is extremely vital that consumers attempt to try and do their bit to help to create a sustainable future.
Therefore, we have compiled a list of some of our favourite ethical fashion brands, based right here in the UK.
People Tree is a womenswear company, which was founded in 1991 by Safia Minney.
Even though the company is based in Tokyo, the brand also has headquarters in London.
The company focuses on creating ethical yet fashionable clothing with a strong bohemian theme.
Since its creation, People Tree has grown into a fully fledged clothing brand with their concessions now available to purchase at Topshop and ASOS.
They make a conscious effort to use eco-friendly materials to produce their garments, which also comply with Fairtrade regulations.
Get a piece of this look from People Tree with these similar Ray-Ban RB3592 Ja-Jo specs from us here at SelectSpecs.
Komodo is a eco-conscious fashion brand, which has been operational for over 30 years.
Based in North London, the Komodo team create collections which perfectly mix both up-and-coming and classic trends.
On the side, they make sure to support a number of different charitable causes; including London's homeless.
They stock their collections in various locations around the globe, including the likes of the United Kingdom, Lithuania, France, Norway and Sweden.
Grab a piece of this look with this pair of similar Karl Lagerfeld KL937S examples from us here at SelectSpecs.
Ilk + Ernie are a Brighton based fashion brand.
The brand focuses on the power of women and what they stand for in society.
As well as being extremely ethically focused, Ilk + Ernie are also a brand which are trendy and affordable too.
They are also very unique, with a bold and playful aesthetic.
Take a look at this pair of similar Carrera CARRERA 1008/S options from us at SelectSpecs.
London based fashion brand Bozena Jankowska is also a worthy contender on our list.
They are an extremely eco-focused company, who make it their mission to produce clothing which looks as good on the inside as the outside.
Bozena Jankowska also are very different to most other companies – they always make their collections on a made-to-order basis to minimise waste.
Even though their clothing is a bit on the pricey side, they are definitely pieces worth investing in!
Get a snippet of this featured look from them with this pair of similar Lacoste L902S examples from our online eyewear store, SelectSpecs!
Collection and Co. are a sustainable clothing brand based in Brighton, England.
They are a fairly new brand to the scene, as they started up in 2016.
Collection and Co. sell a range of different fashion items both in their store in Brighton and online, including the likes of accessories and footwear as well as clothing.
They are extra special, as they make sure to create Vegan footwear using only non-animal leathers and glues within their products.
They are also very conscious about using recycled and environmentally friendly materials, such as reusable plastics and hemp.
Several celebrities have been spotted rocking their collections including Riverdale's Madeleine Petsch.
Get a piece of the action with these similar Tom Ford FT0008 Jennifer (1/2) specs from us here at SelectSpecs.
If you enjoyed this post, be sure to check out this similar post on 'Meet the Groups Fighting For Sustainable Fashion'.


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THE HARLEM GLOBETROTTERS BRING THEIR 2017 WORLD TOUR TO MIAMI ON DECEMBER 10
ATLANTA, GA (AUGUST 4, 2017) – The worldwide icons synonymous with one-of-a-kind family entertainment – the Harlem Globetrotters will bring their show to the AmericanAirlines Arena in Miami on Sunday, Dec. 10, at 2 p.m. as part of their 2017 World Tour.
The Globetrotters are continuing an epic 2017 season as they prepare to bring their awe-inspiring talents to Miami. This season alone, the Globetrotters conquered incredible feats like, breaking nine Guinness World Records in a single day and netting the highest basketball shot ever recorded in North American from staggering 583-feet in the air from the Tower of Americas in San Antonio.
With star-studded roster featuring Big Easy Lofton, Ant Atkinson, Hi-Lite Bruton, Thunder Law, Bull Bullard and Cheese Chisholm – plus female stars TNT Lister, Ace Jackson and Hoops Green – the Globetrotters' show is unrivaled in the world of family entertainment. Every game will showcase incredible ball handling wizardry, rim-rattling dunks, trick shots, hilarious comedy and unequaled fan interaction. After the game, Globetrotter stars will sign autographs and take photos with fans.

redpajama_set_name: RedPajamaCommonCrawl


text:
December 20, 2017 John McArthur 2017, Action, Ed Harris, Gerard Butler, Jim Sturgess, Review, Sci-Fi No comments
Geostorm is not a good movie. That kind of goes without saying. What it is not is the worst film you will see this year. despite what some critics are saying, this is a fairly average film that just about achieves what it sets out to do. There is a tendency these days for some to jump on the back of other opinions and just amplify the hate. Geostorm was perfect fodder for this. A troubled production and more than one change in release date marked it as a turkey before anyone saw it. when it finally hit the multiplexes it didn't stand a chance.
The story is far fetched to say the least. In the wake of devastating storms all over the planet, the international community came together to develop and implement a system that controls the extremes of the weather. The principal scientist in charge Jake, (Gerald Butler) put in place a system that worked beyond all expectation. All was good for three years until just before the ownership of the system was due to move away from the hands of the US government. Firstly Jake is fired and then a series of anomalous weather events cause disruption and danger to life. The new head of the system, who just happens to be Jake's brother, has to re-connect with his elder sibling and work out what is causing the issues before it gets out of control and puts the entire planet in jeopardy.
With the previously mentioned production delays and multiple re-shoots it is a wonder that there is even a coherent film to view. Unfortunately you can see the joins where plots and character arcs were altered to appease the money men who were not happy with the feedback from the initial test screenings. There is too much going on here to keep everybody interested. The film is split between the Gerard Butler action scenes set on the space station and Jim Sturgess's plot thread set in the heart of the US Government. Cutting back between the two does either no favours and becomes a distraction after a while.
Butler is his usual action man persona here. This isn't a bad thing though as the best of the action takes place in space. It is certainly the more interesting story arc. He in no way stretches himself in terms of performance but that is fine as his character is a cog in a much larger machine that is dominated by CGI. Also, he doesn't stand out as the biggest hammy actor on screen. There are several other offenders for that honour. Ed Harris is at the head of the queue in his role as the Vice President. He must have seen the film for what it was and just decided to go a big as possible.
The film is let down a bit by the CGI. Some of it doesn't stand up against what is the industry standard these days. The space based scenes were fine but it was the rendering of the Earth based weather events that just didnt sit right at times. If anything, it felt a bit incomplete. Surely, given the production delays, this couldn't be the case? It looked as if it need a bit longer to get it just right. It isn't massively distracting but in a film that fails to hold your attention for too long it can be a problem.
John McArthur
Editor-in-Chief at Moviescramble. A Fan of all things cinematic with a love of Film Noir, Sci-Fi and Julia Roberts in Notting Hill. He hopes to grow up some day.
Latest posts by John McArthur (see all)
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Four Kids And It Release Date Announced - December 20, 2019
Ed HarrisGeostormGerard ButlerJim Sturgess
Doctor Sleep – Review
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Impossible Crimes
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3 From Hell – Review
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10 Reasons that you must watch Kingsman: The Secre...


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and drinking norms, and risk taking.
population: Elementary school students in grades 3 to 6 are targeted.
alcohol use among elementary school students through Life Skills Training. Journal of Child and Adolescent Substance Abuse, 12(4),1-17.
analyses did not account for clustering.
other results were not significant.
includes information on both the elementary and middle school versions).
Suburban, Children, Males and Females, Cost, Manual.


text:
Content + Lifestyle
for the modern sports fan.
Stay on top of the biggest moments in sports with our free daily newsletter. Your inbox will thank you.
favorite team*
The Debate Over JLo & Shakira's Halftime Show
| Happening Now
While the Kansas City Chiefs put on a dazzling third and fourth quarter show to go on and win Super Bowl LIV, it's twelve-year-old boys who may have really won the game thanks to Jennifer Lopez and Shakira's sparkly halftime show. If only pre-pubescent boys could concentrate on their homework with the same focus as they did the show, which featured Jenny From The Block dancing on a pole and Shakira's hips covering about as many octaves as her famous yodel, we'd have a nation of geniuses. But where there's superstar women there's always controversy, and this year's JLo and Shakira show was no different.
Last year, the NFL got criticism by everyone with taste for playing it safe during halftime and featuring Maroon 5 as its headliner. This year, the NFL recruited Jay-Z's Roc Nation for some guidance, and decided to honor the host city of Miami's Latina community by featuring Shakira and JLo.
"Two Latinas doing this in this country at this time is just very empowering to us. "-JLo
Turns out, not everyone thinks it's appropriate during what is touted as a family show, to feature JLo and Shakira's barely covered assets with such attention and focus. To be fair, one could see more skin at the gym, the beach or a Brandy Melville shop, but the Internet isn't happy if the Internet isn't mad. So the inevitable controversy over talented women proudly owning their assets has begun.
What didn't people like? Well, Conservatives (except Jeb Bush see below) hated the overt sexuality of the women onstage. There was controversy over the amount of clothing either were wearing, which was more than Adam Levine wore last year. But, okay. And a lot of people took issue with JLo on a pole, which was a nod to her Hustlers movie, which featured JLo on a pole.
But despite the controversy, the JLo/Shakira show will be remembered for much more than JLo on a pole and the seemingly endless Shakira crotch shots. First and foremost, this year's show marked the first time two Latina women have headlined the show. Considering the host city of Miami is predominantly Latino and the NFL viewing audience is nearly 10% Latin American, representing a more diverse viewing audience is something the NFL hasn't always gotten right in the past.
And though the NFL isn't known for getting political, or letting others do so, this year's halftime show was as political as it gets. JLo wore a custom-made Versace code, which when opened onstage revealed a Puerto Rican flag. She then revealed the other side was covered in the American flag and wrapped herself in it.
Lopez's daughter, Emme Maribel Muñiz, joined her mother onstage alongside a choir of children to sing a duet of "Let's Get Loud" and "Born In The USA." The children wore American flags on their shirts as they sang from cage-like structures, a nod to the immigration policies separating Hispanic children from their parents. Before the show Shakira stated, "It's very important for us to convey a message of unity and also to show what a relevant force the Latin community is in this country."
Others agreed.
@shakira & @JLo was AMAZING!! Fantastic Half Time Show!! 👏🏾
— LeBron James (@KingJames) February 3, 2020
They really shut it down!!!! Congrats on that amazing SuperBowl Halftime Show @shakira @JLo 🔥🔥🔥 🏈 🏈🏈
— Kim Kardashian West (@KimKardashian) February 3, 2020
. @JLo and @shakira and all the special guests were so incredible!!! What a fun halftime show I danced and smiled the whole time. Such powerful sexy women!!!! On camera and off!!!!! Love you beautiful sexy talented women 💕💋 #SuperBowlHalftimeShow #SuperBowl
— Lady Gaga (@ladygaga) February 3, 2020
Halftime show almost got me in trouble😂
— Giannis Antetokounmpo (@Giannis_An34) February 3, 2020
Best Super Bowl half time show ever.
— Jeb Bush (@JebBush) February 3, 2020
And while it's debatable if theirs was the best halftime show of all time, Prince or Gaga probably own that, but Shakira and Jennifer Lopez made history, made their community proud, and probably earned a new generations of twelve-year-old fans. There's nothing bad about that.
Drew Brees Apologizes, But Will Michael Thomas Forgive?
12 Amazing NFL Stars Whose Siblings Play Too
Twitter Responds To Tom Brady's Big Announcement
Let's keep talking
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Q: Tensorflow Val_loss=nan and Val_accuracy=constant when GPU enabled My goal is to run the "deeplabv3_plus.ipynb" script in my own computer using my own GPU to speed up the training process
I'm trying to use the following "deeplabv3_plus.ipynb" colab script that works fine online (with Colab's GPU enabled):
https://colab.research.google.com/github/keras-team/keras-io/blob/master/examples/vision/ipynb/deeplabv3_plus.ipynb
Strangely, in my local computer, when the GPU is used to train the Deep Convolutional Network, the Val_loss=nan and Val_accuracy=constant. But it works fine (Val_loss and Val_accuracy with "normal" values) when GPU is disabled with the commands:
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"

The "deeplabv3_plus.ipynb" script is the following:
NOTE: When running in local computer, the lines beggining with !gdown and !gzip are made to download and extract the dataset. You can just comment that lines and do it manually
import os
import cv2
import numpy as np
from glob import glob
from scipy.io import loadmat
import matplotlib.pyplot as plt

import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers

!gdown https://drive.google.com/uc?id=1B9A9UCJYMwTL4oBEo4RZfbMZMaZhKJaz
!unzip -q instance-level-human-parsing.zip

IMAGE_SIZE = 512
BATCH_SIZE = 4
NUM_CLASSES = 20
DATA_DIR = "./instance-level_human_parsing/instance-level_human_parsing/Training"
NUM_TRAIN_IMAGES = 1000
NUM_VAL_IMAGES = 50

train_images = sorted(glob(os.path.join(DATA_DIR, "Images/*")))[:NUM_TRAIN_IMAGES]
train_masks = sorted(glob(os.path.join(DATA_DIR, "Category_ids/*")))[:NUM_TRAIN_IMAGES]
val_images = sorted(glob(os.path.join(DATA_DIR, "Images/*")))[
    NUM_TRAIN_IMAGES : NUM_VAL_IMAGES + NUM_TRAIN_IMAGES
]
val_masks = sorted(glob(os.path.join(DATA_DIR, "Category_ids/*")))[
    NUM_TRAIN_IMAGES : NUM_VAL_IMAGES + NUM_TRAIN_IMAGES
]

def read_image(image_path, mask=False):
    image = tf.io.read_file(image_path)
    if mask:
        image = tf.image.decode_png(image, channels=1)
        image.set_shape([None, None, 1])
        image = tf.image.resize(images=image, size=[IMAGE_SIZE, IMAGE_SIZE])
    else:
        image = tf.image.decode_png(image, channels=3)
        image.set_shape([None, None, 3])
        image = tf.image.resize(images=image, size=[IMAGE_SIZE, IMAGE_SIZE])
        image = image / 127.5 - 1
    return image

def load_data(image_list, mask_list):
    image = read_image(image_list)
    mask = read_image(mask_list, mask=True)
    return image, mask

def data_generator(image_list, mask_list):
    dataset = tf.data.Dataset.from_tensor_slices((image_list, mask_list))
    dataset = dataset.map(load_data, num_parallel_calls=tf.data.AUTOTUNE)
    dataset = dataset.batch(BATCH_SIZE, drop_remainder=True)
    return dataset

train_dataset = data_generator(train_images, train_masks)
val_dataset = data_generator(val_images, val_masks)

print("Train Dataset:", train_dataset)
print("Val Dataset:", val_dataset)

def convolution_block(
    block_input,
    num_filters=256,
    kernel_size=3,
    dilation_rate=1,
    padding="same",
    use_bias=False,
):
    x = layers.Conv2D(
        num_filters,
        kernel_size=kernel_size,
        dilation_rate=dilation_rate,
        padding="same",
        use_bias=use_bias,
        kernel_initializer=keras.initializers.HeNormal(),
    )(block_input)
    x = layers.BatchNormalization()(x)
    return tf.nn.relu(x)

def DilatedSpatialPyramidPooling(dspp_input):
    dims = dspp_input.shape
    x = layers.AveragePooling2D(pool_size=(dims[-3], dims[-2]))(dspp_input)
    x = convolution_block(x, kernel_size=1, use_bias=True)
    out_pool = layers.UpSampling2D(
        size=(dims[-3] // x.shape[1], dims[-2] // x.shape[2]), interpolation="bilinear",
    )(x)

    out_1 = convolution_block(dspp_input, kernel_size=1, dilation_rate=1)
    out_6 = convolution_block(dspp_input, kernel_size=3, dilation_rate=6)
    out_12 = convolution_block(dspp_input, kernel_size=3, dilation_rate=12)
    out_18 = convolution_block(dspp_input, kernel_size=3, dilation_rate=18)

    x = layers.Concatenate(axis=-1)([out_pool, out_1, out_6, out_12, out_18])
    output = convolution_block(x, kernel_size=1)
    return output

def DeeplabV3Plus(image_size, num_classes):
    model_input = keras.Input(shape=(image_size, image_size, 3))
    resnet50 = keras.applications.ResNet50(
        weights="imagenet", include_top=False, input_tensor=model_input
    )
    x = resnet50.get_layer("conv4_block6_2_relu").output
    x = DilatedSpatialPyramidPooling(x)

    input_a = layers.UpSampling2D(
        size=(image_size // 4 // x.shape[1], image_size // 4 // x.shape[2]),
        interpolation="bilinear",
    )(x)
    input_b = resnet50.get_layer("conv2_block3_2_relu").output
    input_b = convolution_block(input_b, num_filters=48, kernel_size=1)

    x = layers.Concatenate(axis=-1)([input_a, input_b])
    x = convolution_block(x)
    x = convolution_block(x)
    x = layers.UpSampling2D(
        size=(image_size // x.shape[1], image_size // x.shape[2]),
        interpolation="bilinear",
    )(x)
    model_output = layers.Conv2D(num_classes, kernel_size=(1, 1), padding="same")(x)
    return keras.Model(inputs=model_input, outputs=model_output)

model = DeeplabV3Plus(image_size=IMAGE_SIZE, num_classes=NUM_CLASSES)
model.summary()

loss = keras.losses.SparseCategoricalCrossentropy(from_logits=True)
model.compile(
    optimizer=keras.optimizers.Adam(learning_rate=0.001),
    loss=loss,
    metrics=["accuracy"],
)

history = model.fit(train_dataset, validation_data=val_dataset, epochs=25)

plt.plot(history.history["loss"])
plt.title("Training Loss")
plt.ylabel("loss")
plt.xlabel("epoch")
plt.show()

plt.plot(history.history["accuracy"])
plt.title("Training Accuracy")
plt.ylabel("accuracy")
plt.xlabel("epoch")
plt.show()

plt.plot(history.history["val_loss"])
plt.title("Validation Loss")
plt.ylabel("val_loss")
plt.xlabel("epoch")
plt.show()

plt.plot(history.history["val_accuracy"])
plt.title("Validation Accuracy")
plt.ylabel("val_accuracy")
plt.xlabel("epoch")
plt.show()

a) Local+GPU results:
Epoch 1/25
1000/1000 [==============================] - 150s 145ms/step - loss: 1.2724 - accuracy: 0.6139 - val_loss: nan - val_accuracy: 0.5947
Epoch 2/25
1000/1000 [==============================] - 145s 145ms/step - loss: 1.0505 - accuracy: 0.6734 - val_loss: nan - val_accuracy: 0.5947
Epoch 3/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.9311 - accuracy: 0.7068 - val_loss: nan - val_accuracy: 0.5947
Epoch 4/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.8721 - accuracy: 0.7241 - val_loss: nan - val_accuracy: 0.5947
Epoch 5/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.8110 - accuracy: 0.7412 - val_loss: nan - val_accuracy: 0.5947
Epoch 6/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.7427 - accuracy: 0.7603 - val_loss: nan - val_accuracy: 0.5947
Epoch 7/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.6928 - accuracy: 0.7750 - val_loss: nan - val_accuracy: 0.5947
Epoch 8/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.6506 - accuracy: 0.7875 - val_loss: nan - val_accuracy: 0.5947
Epoch 9/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.5992 - accuracy: 0.8037 - val_loss: nan - val_accuracy: 0.5947
Epoch 10/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.5497 - accuracy: 0.8201 - val_loss: nan - val_accuracy: 0.5947
Epoch 11/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.4995 - accuracy: 0.8372 - val_loss: nan - val_accuracy: 0.5947
Epoch 12/25
1000/1000 [==============================] - 146s 146ms/step - loss: 0.4545 - accuracy: 0.8537 - val_loss: nan - val_accuracy: 0.5947
Epoch 13/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.4147 - accuracy: 0.8690 - val_loss: nan - val_accuracy: 0.5947
Epoch 14/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.3725 - accuracy: 0.8836 - val_loss: nan - val_accuracy: 0.5947
Epoch 15/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.3421 - accuracy: 0.8945 - val_loss: nan - val_accuracy: 0.5947
Epoch 16/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.3134 - accuracy: 0.9044 - val_loss: nan - val_accuracy: 0.5947
Epoch 17/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.2907 - accuracy: 0.9121 - val_loss: nan - val_accuracy: 0.5947
Epoch 18/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.2736 - accuracy: 0.9179 - val_loss: nan - val_accuracy: 0.5947
Epoch 19/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.2579 - accuracy: 0.9231 - val_loss: nan - val_accuracy: 0.5947
Epoch 20/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.2369 - accuracy: 0.9296 - val_loss: nan - val_accuracy: 0.5947
Epoch 21/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.2250 - accuracy: 0.9332 - val_loss: nan - val_accuracy: 0.5947
Epoch 22/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.2378 - accuracy: 0.9286 - val_loss: nan - val_accuracy: 0.5947
Epoch 23/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.2204 - accuracy: 0.9346 - val_loss: nan - val_accuracy: 0.5947
Epoch 24/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.2062 - accuracy: 0.9387 - val_loss: nan - val_accuracy: 0.5947
Epoch 25/25
1000/1000 [==============================] - 145s 145ms/step - loss: 0.1939 - accuracy: 0.9425 - val_loss: nan - val_accuracy: 0.5947

b) Local + CPU:
Epoch 1/25
1000/1000 [==============================] - 737s 735ms/step - loss: 1.2817 - accuracy: 0.6101 - val_loss: 1.2010 - val_accuracy: 0.6347
Epoch 2/25
1000/1000 [==============================] - 735s 735ms/step - loss: 1.0711 - accuracy: 0.6671 - val_loss: 1.0662 - val_accuracy: 0.6728
Epoch 3/25
1000/1000 [==============================] - 734s 734ms/step - loss: 0.9591 - accuracy: 0.6980 - val_loss: 1.0679 - val_accuracy: 0.6634
Epoch 4/25
1000/1000 [==============================] - 733s 733ms/step - loss: 0.8771 - accuracy: 0.7226 - val_loss: 1.0526 - val_accuracy: 0.6728
Epoch 5/25
1000/1000 [==============================] - 734s 734ms/step - loss: 0.8123 - accuracy: 0.7411 - val_loss: 0.9708 - val_accuracy: 0.6929
Epoch 6/25
1000/1000 [==============================] - 732s 732ms/step - loss: 0.7640 - accuracy: 0.7545 - val_loss: 0.9903 - val_accuracy: 0.6916
Epoch 7/25
1000/1000 [==============================] - 730s 730ms/step - loss: 0.7106 - accuracy: 0.7695 - val_loss: 1.1594 - val_accuracy: 0.6547
Epoch 8/25
1000/1000 [==============================] - 736s 736ms/step - loss: 0.6608 - accuracy: 0.7839 - val_loss: 0.9801 - val_accuracy: 0.7007
Epoch 9/25
1000/1000 [==============================] - 738s 738ms/step - loss: 0.6153 - accuracy: 0.7985 - val_loss: 0.9675 - val_accuracy: 0.7149
Epoch 10/25
1000/1000 [==============================] - 738s 738ms/step - loss: 0.5656 - accuracy: 0.8138 - val_loss: 0.9934 - val_accuracy: 0.7230
Epoch 11/25
1000/1000 [==============================] - 735s 735ms/step - loss: 0.5104 - accuracy: 0.8337 - val_loss: 1.0619 - val_accuracy: 0.7140
Epoch 12/25
1000/1000 [==============================] - 735s 735ms/step - loss: 0.4614 - accuracy: 0.8516 - val_loss: 1.1087 - val_accuracy: 0.7117
Epoch 13/25
1000/1000 [==============================] - 734s 734ms/step - loss: 0.4282 - accuracy: 0.8640 - val_loss: 1.0543 - val_accuracy: 0.7090
Epoch 14/25
1000/1000 [==============================] - 734s 734ms/step - loss: 0.3812 - accuracy: 0.8810 - val_loss: 1.1239 - val_accuracy: 0.7181
Epoch 15/25
1000/1000 [==============================] - 737s 737ms/step - loss: 0.3487 - accuracy: 0.8929 - val_loss: 1.2247 - val_accuracy: 0.6968
Epoch 16/25
1000/1000 [==============================] - 734s 734ms/step - loss: 0.3241 - accuracy: 0.9011 - val_loss: 1.1738 - val_accuracy: 0.7152
Epoch 17/25
1000/1000 [==============================] - 737s 737ms/step - loss: 0.2956 - accuracy: 0.9107 - val_loss: 1.2411 - val_accuracy: 0.7223
Epoch 18/25
1000/1000 [==============================] - 738s 737ms/step - loss: 0.2639 - accuracy: 0.9213 - val_loss: 1.1810 - val_accuracy: 0.7310
Epoch 19/25
1000/1000 [==============================] - 738s 738ms/step - loss: 0.2497 - accuracy: 0.9257 - val_loss: 1.2562 - val_accuracy: 0.7207
Epoch 20/25
1000/1000 [==============================] - 738s 738ms/step - loss: 0.2553 - accuracy: 0.9236 - val_loss: 1.2872 - val_accuracy: 0.7053
Epoch 21/25
1000/1000 [==============================] - 739s 739ms/step - loss: 0.2418 - accuracy: 0.9281 - val_loss: 1.2982 - val_accuracy: 0.7119
Epoch 22/25
1000/1000 [==============================] - 739s 739ms/step - loss: 0.2267 - accuracy: 0.9327 - val_loss: 1.2735 - val_accuracy: 0.7287
Epoch 23/25
1000/1000 [==============================] - 739s 739ms/step - loss: 0.2074 - accuracy: 0.9387 - val_loss: 1.3215 - val_accuracy: 0.7165
Epoch 24/25
1000/1000 [==============================] - 739s 739ms/step - loss: 0.1968 - accuracy: 0.9417 - val_loss: 1.3531 - val_accuracy: 0.7174
Epoch 25/25
1000/1000 [==============================] - 739s 739ms/step - loss: 0.2028 - accuracy: 0.9397 - val_loss: 1.3763 - val_accuracy: 0.7122

c) Colab+GPU
Epoch 1/25
250/250 [==============================] - 120s 396ms/step - loss: 1.2047 - accuracy: 0.6407 - val_loss: 2.3989 - val_accuracy: 0.5960
Epoch 2/25
250/250 [==============================] - 100s 399ms/step - loss: 0.9366 - accuracy: 0.7036 - val_loss: 2.6018 - val_accuracy: 0.5960
Epoch 3/25
250/250 [==============================] - 100s 399ms/step - loss: 0.8290 - accuracy: 0.7360 - val_loss: 1.2645 - val_accuracy: 0.6482
Epoch 4/25
250/250 [==============================] - 99s 394ms/step - loss: 0.7565 - accuracy: 0.7572 - val_loss: 1.0729 - val_accuracy: 0.6545
Epoch 5/25
250/250 [==============================] - 99s 397ms/step - loss: 0.6977 - accuracy: 0.7765 - val_loss: 0.8966 - val_accuracy: 0.7112
Epoch 6/25
250/250 [==============================] - 98s 393ms/step - loss: 0.6339 - accuracy: 0.7966 - val_loss: 0.9707 - val_accuracy: 0.7044
Epoch 7/25
250/250 [==============================] - 100s 398ms/step - loss: 0.5877 - accuracy: 0.8127 - val_loss: 1.3873 - val_accuracy: 0.5757
Epoch 8/25
250/250 [==============================] - 99s 397ms/step - loss: 0.5569 - accuracy: 0.8221 - val_loss: 0.9090 - val_accuracy: 0.7306
Epoch 9/25
250/250 [==============================] - 99s 394ms/step - loss: 0.4969 - accuracy: 0.8424 - val_loss: 0.8314 - val_accuracy: 0.7571
Epoch 10/25
250/250 [==============================] - 100s 398ms/step - loss: 0.4649 - accuracy: 0.8532 - val_loss: 0.8182 - val_accuracy: 0.7568
Epoch 11/25
250/250 [==============================] - 100s 398ms/step - loss: 0.4283 - accuracy: 0.8654 - val_loss: 0.8730 - val_accuracy: 0.7578
Epoch 12/25
250/250 [==============================] - 98s 393ms/step - loss: 0.4133 - accuracy: 0.8708 - val_loss: 0.9008 - val_accuracy: 0.7557
Epoch 13/25
250/250 [==============================] - 99s 398ms/step - loss: 0.3707 - accuracy: 0.8846 - val_loss: 0.9460 - val_accuracy: 0.7677
Epoch 14/25
250/250 [==============================] - 100s 398ms/step - loss: 0.3320 - accuracy: 0.8973 - val_loss: 0.9351 - val_accuracy: 0.7658
Epoch 15/25
250/250 [==============================] - 100s 398ms/step - loss: 0.3155 - accuracy: 0.9030 - val_loss: 0.9480 - val_accuracy: 0.7694
Epoch 16/25
250/250 [==============================] - 99s 394ms/step - loss: 0.3050 - accuracy: 0.9060 - val_loss: 0.9226 - val_accuracy: 0.7742
Epoch 17/25
250/250 [==============================] - 98s 394ms/step - loss: 0.3017 - accuracy: 0.9069 - val_loss: 1.0765 - val_accuracy: 0.7473
Epoch 18/25
250/250 [==============================] - 100s 398ms/step - loss: 0.2788 - accuracy: 0.9145 - val_loss: 0.9393 - val_accuracy: 0.7751
Epoch 19/25
250/250 [==============================] - 99s 394ms/step - loss: 0.2545 - accuracy: 0.9226 - val_loss: 1.0678 - val_accuracy: 0.7683
Epoch 20/25
250/250 [==============================] - 100s 398ms/step - loss: 0.2372 - accuracy: 0.9279 - val_loss: 0.9090 - val_accuracy: 0.7874
Epoch 21/25
250/250 [==============================] - 98s 394ms/step - loss: 0.2251 - accuracy: 0.9320 - val_loss: 0.8869 - val_accuracy: 0.7872
Epoch 22/25
250/250 [==============================] - 100s 398ms/step - loss: 0.2169 - accuracy: 0.9346 - val_loss: 0.9910 - val_accuracy: 0.7821
Epoch 23/25
250/250 [==============================] - 99s 394ms/step - loss: 0.2102 - accuracy: 0.9365 - val_loss: 0.9901 - val_accuracy: 0.7853
Epoch 24/25
250/250 [==============================] - 100s 398ms/step - loss: 0.4005 - accuracy: 0.8747 - val_loss: 0.9297 - val_accuracy: 0.7661
Epoch 25/25
250/250 [==============================] - 100s 398ms/step - loss: 0.2376 - accuracy: 0.9276 - val_loss: 0.9067 - val_accuracy: 0.7783

THE QUESTION IS: Why is Val_loss=nan and Val_accuracy=constant when using GPU in my local laptop? It doesn't matter? How can I solve it so I could use my local GPU to speed up the training process?

redpajama_set_name: RedPajamaStackExchange


Combine all ingredients, except the KIT KAT, in an electric beater. Beat on low speed for 2 minutes then on medium speed for another 2 minutes or until mixture is smooth.
Pour mixture into a 30cm x 11cm greased baking loaf tin, then sprinkle the chopped KIT KAT on top.


text:
Welcome to python-quilt's documentation!
========================================

.. toctree::
   :maxdepth: 2

   quilt
   cli

Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`

redpajama_set_name: RedPajamaGithub


text:
/* All schedules in the past are being made 'available' */
update COMM_SCHEDULE set AVAILABLE_TO_REVIEWERS = 'Y' where SCHEDULED_DATE <= current_date;

commit;


fitness-tips Diabetes Mellitus: Facts, Types, and Symptoms.
Diabetes Mellitus: Facts, Types, and Symptoms.
Diabetes is a serious health issue that can strike anyone, at any stage of life. Based on a few last analyses, it was noticed that the results of diabetes are dramatically increasing, across the world. It has affected approximately 380 million of the complete population.According to the latest survey by the WHO (World Health Organization), it was stated that till 2030 the number of diabetes patient will reach to its double. The number of death rates due to diabetes is more than compared to the AIDS and breast cancer.
Do you know anything about Diabetes? What are the various causes and symptoms? It's after effects? If not, then no need to worry. Read all the information mentioned-below just to resolve all your queries. Another term used by the doctors for Diabetes is referred to as diabetes mellitus. It is a serious complex condition, which can badly affect the complete body. Under this the level of blood sugar production in the body is too high, as a result of inadequate insulin production or because the body's cells are not functioning properly to insulin or both.
• It's a long-term health condition that can accelerate blood sugar levels of the patient body.
• According to the 2013 survey, it was found that more than 382 million people across the globe are suffering from diabetes.
• Diabetes is mainly categories in Type 1 and Type 2 Diabetes.
• During pregnancy, females can suffer from Gestational Diabetes.
• If you are suffering from the Type 1 Diabetes, then your body needs to have a proper healthy eating routine. Do regular exercise and take regular insulin to lead a normal life.
• The patients who are dealing with the Type 2 Diabetes need to be physically active. Remember to check the blood sugar level after a regular time frame. To control the blood glucose levels you should take the oral medication or insulin.
• It can enhance the chance of cardiovascular disease. To avoid this condition, keep monitoring regularly the blood pressure and cholesterol level.
• Diabetic patients should not smoke because it can accelerate the risk of cardiovascular health issues.
Type 1 diabetes: The patient needs to have insulin for treatment. This disease directly destroys the pancreatic cells to stop the complete production of insulin in the body.
Type 2 diabetes: This type is usually encountered in the people over the age of 45, especially who are over weighted. As a result, it starts accumulating sugar in the bloodstream.
Mostly diagnosed in more than 30 year-old-people.
Many encounters of low blood sugar level (hypoglycemia) which are common.
No encounters of low blood sugar level, except the person who are taking certain diabetes medicines or insulin.
It can't be prevented completely.
To some extent, it can be prevented or limit with an adoption of a healthy lifestyle that includes a healthy weight, healthy eating, and exercising on daily basis.
Initially, it is treated without medication.
Diabetes medication can be neglected sometimes.
• Diabetic coma or ketoacidosis.
• Diabetic coma or ketoacidosis, Because of the occurrence of high blood sugar.
• Feeling of more thirst and hunger as compared to normal days.
• Sudden excess loss of weight.
• Increase the feeling of thirst.
• Encounter more cramps in the leg.
• Need to Urinate more than usual.
• Skin infection and Itching.
• Accelerate the starvation mood of the body.
• Unclear and poor vision.
• Sudden weight loss (Type 1).
• Weight gaining without any reason (Type 2).
• Experiencing the Headache issue.
• An occurrence of frequent gum infections.
• Experiencing the Sexual dysfunction in case of males.


Big Hair. Who loves it but can't achieve it?
Getting body into flat limp hair is a girls ( or boys) hair nightmare. We all know how we want it to look, but actually achieving it is a different matter. When I received Envy Big Hair Root Volumiser* I had in my mind that is was going to be one of two things.
A. It would be completely useless offering nothing more than the slightest of hold.
or B. Be crispy and gel like in the hair making it a nightmare to work with.
I have come across quite a few of these types of "volumising sprays" in my time, and as a hairdresser I want a product that does what it's meant to do without leaving the hair caked in product and a birds nest at the end of a good nights sleep.
So with this in mind I picked up the bottle and took it to work with me to try on unsuspecting clients. And the results? pretty damn good.
The spray firstly smells amazing, fruity and fresh with hints of grapefruit, and much like the Envy Dual Fix 12 treatment I recently reviewed. When sprayed evenly in to the roots of the hair, it didn't leave a tacky or sticky film - so we're off to a good start already.
As I started to dry the hair I noticed that there was more grip to it, making the style I was creating easier to mould and shape. It's almost like a thickening agent that gives the hair texture and makes it more cooperative, and it definitely added volume and bounce. What was better more was after I had blow dried it there was no trace of it left behind in the hair, apart from the hair looking and feeling a lot thicker.
I had clients coming back to me saying "my hair had so much body" "it really thickened it up!"
If you're looking for a new styling product that will help achieve body and thickness I can definitely recommend this!
What's your Big Hair Hero product? Have you tried this?
Where do I get this hair spray from, Lou? Given that you are a hairdresser, I trust every word you are saying about it, I want it!


text:
Ганс Паумгартнер (; 1843—1896) — австрийский пианист и музыкальный критик. Муж певицы Розы Папир (с которой первоначально сотрудничал как аккомпаниатор — «один из лучших аккомпаниаторов Вены»), отец Бернхарда Паумгартнера.

Биография
В 1880—1890-е гг. был одним из наиболее влиятельных венских музыкальных критиков. Был дружен с Антоном Брукнером, поддерживал Хуго Вольфа и входил в круг авторов, объединённых венским Вагнеровским обществом и резко выступавших против музыки Иоганнеса Брамса.

Примечания

Ссылки

redpajama_set_name: RedPajamaWikipedia


text:
O Partido Social-Democrata Independente da Alemanha (em alemão: Unabhängige Sozialdemokratische Partei Deutschlands, USPD) foi um partido político operativo durante o Segundo Reich e a República de Weimar.

Fundação
Em 21 de dezembro de 1915, membros do Partido Social-Democrata da Alemanha (SPD) no Reichstag (Parlamento alemão) votaram contra a autorização de novos fundos para financiar a Primeira Guerra Mundial, o que provocou um aumento das tensões entre a cúpula do SPD e esse grupo de militantes pacifistas formado ao redor de Hugo Haase, que em última instância terminou com a expulsão desse grupo do SPD em 24 de março de 1916.

Com o fim de continuar o seu trabalho parlamentar, formaram um grupo denominado Grupo Social-democrata de Trabalho (SAG, Sozialdemokratische Arbeitsgemeinschaft), que constituiu o primeiro passo para a fundação do USPD, em 6 de abril de 1917, no seu primeiro congresso em Gotha, com Hugo Haase como primeiro presidente. Ao novo partido aderiu também a Liga Espartaquista, mas mantendo uma certa autonomia. Ademais, desde a fundação do USPD, o SPD foi denominado habitualmente MSPD (Mehrheits-SPD) ou SPD Maioritário.

Greve geral de 1918 e crescimento
A partir da greve geral de 1918 liderada por revolucionários vinculados ao USPD e oficialmente apoiada pelo partido, a organização atingiu os 120.000 afiliados. Embora o enfrentamente contínuo com o SPD por causa da colaboração desse partido com o governo, ambos os partidos chegaram a um acordo no início da Revolução alemã de novembro de 1918, de maneira que o USPD chegou a fazer parte do seguinte governo, constituído como Conselho dos Deputados Operários (Rat der Volksbeauftragten) em 10 de novembro e com participação de Friedrich Ebert (SPD) e do próprio Haase.

Porém, o acordo não durou muito tempo. Em 29 de dezembro de 1918, como protesto pela atuação do SPD durante o motim militar de Berlim de 23 de novembro, Haase, Wilhelm Dittmann e Emil Barth abandonaram o Conselho. Ao mesmotempo, a Liga Espartaquista liderada por Rosa Luxemburg e Karl Liebknecht separou-se do USPD e aderiu a outros grupos da extrema esquerda para formar o Partido Comunista da Alemanha (KPD).

Durante as eleições à Assembleia Nacional de 19 de janeiro de 1919 - nas quais o SPD foi o Partido mais votado com 37.9% do apoio - o USPD atingiu apenas 7.6% dos votos. Porém, o forte apoio que o USPD conseguiu ao apresentar uma iniciativa baseada num sistema de conselhos (Rätesrepublik) em lugar dum sistema parlamentar, fez com que um número importante de militantes do SPD abandonassem o partido e ingressassem no USPD, que atingiu até 750.000 militantes. Esse novo apoio traduziu-se num acréscimo do número de votantes nas eleições de 6 de junho de 1920 (até 17'9%). O USPD tornou-se um dos grupois mais importantes do Reichstag, apenas superado pelo SPD (21,7%).

A controvérsia da Comintern
Naquele momento surgiu um debate interno muito controverso a respeito da conveniência de aderir à Comintern. Os opositores sustinham que aderir à Comintern faria com que o USPD perdesse independência, enquanto os que se posicionavam favoravelmente argumentavam - pelo geral, os membros mais jovens, como Ernst Thälmann - que a união com a Comintern favoreceria os objetivos socialistas do partido. A proposta de união foi aprovada finalmente numa convenção celebrada em Halle em outubro de 1920. Mas isso provocou uma fratura na USPD, que ficou cindida em duas fações que se reclamavam como auténticas. Em 4 de dezembro, a ala esquerdista da cisão, com arredor de 400.000 membros, aderiu ao Partido Comunista da Alemanha conformando o Partido Comunista Unido da Alemanha (VKPD). No entanto, a outra fação, com arredor de 340.000 membros e com 3 de cada 4 deputados no Reichstag, continuou com a denominação USPD. Esta fação moderada estava liderada por Georg Ledebour e Arthur Crispien.

Reunificação com o SPD
A saída do setor mais esquerdista face ao VKPD fez com que, na prática, as diferenças entre o USPD e o SPD se reduzissem de modo evidente. Até, o USPD começou a defender a democracia parlamentar contra o sistema conselhista que defendera outrora. O assassinato do Ministro do Exterior Walther Rathenau pela extrema direita em junho de 1922, relacionado com a ofensiva do putsch de Kapp-Lüttwitz fez com que ambos os partidos formassem um único grupo de trabalho em 14 de julho. Dois meses depois, em 24 de setembro, os dois partidos unificaram-se oficialmente numa convenção de Nuremberga. Tomaram o nome de Partido Social-Democrata Unido da Alemanha (VSPD), mudando novamente para SPD em 1924.

O USDP continuou como partido independente dirigido por Georg Ledebour e Theodor Liebknecht, que se recusaram a trabalhar com o SPD. Contudo, jamais obteve resultados significativos, o qual levou o USPD a se incorporar ao Partido Socialista Operário da Alemanha (SAPD) em 1931.

Resultados eleitorais

Eleições legislativas

Membros destacados do Partido
 Emil Barth
 Eduard Bernstein
 Arthur Crispien
 Wilhelm Dittmann
 Hugo Eberlein
 Kurt Eisner
 Hugo Haase
 Karl Kautsky
 Karl Korsch
 Georg Ledebour
 Otto Rühle
 Kurt Löwenstein
 Ernst Thälmann
 Ernst Niekisch
 Kurt Tucholsky
 Clara Zetkin
 Paul Levi
 Karl Liebknecht
 Theodor Liebknecht
 Rosa Luxemburg

Bibliografia
 Dieter Engelmann: Die Nachfolgeorganisationen der USPD. In: Beiträge zur Geschichte der Arbeiterbewegung (BzG). 01/1991, Berlin 1991, S. 37–45 (zur USPD und zum Sozialistischen Bund 1922–1931).
 Curt Geyer, Wolfgang Benz, Hermann Graml: Die revolutionäre Illusion. Zur Geschichte des linken Flügels der USPD. Stuttgart 1982, ISBN 3421017689.
 Alfred Hermann: Die Geschichte der pfälzischen USPD. Neustadt an der Weinstraße 1989, ISBN 392691212X.
 Hartfrid Krause: USPD. Frankfurt am Main 1975, ISBN 3434200754.
 David W. Morgan: The Socialist Left and the German Revolution: A History of the German Independent Social Democratic Party, 1917–1922. Ithaca/London 1975, ISBN 0-8014-0851-2.
 Eugen Prager: Das Gebot der Stunde. Geschichte der USPD. Bonn 1982, ISBN 3801200493.
 Robert F. Wheeler: USPD und Internationale – Sozialistischer Internationalismus in der Zeit der Revolution. Frankfurt am Main 1975, ISBN 3548033806.

Política da Alemanha
Partidos políticos extintos da Alemanha


text:
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TV Review: Swamp Thing (2019)
June 22, 2019 by Talking Pulp	in Reviews, TV Review and tagged 2010s, 2019, action, adventure, Bernie Wrightson, Blue Devil, comics, Crystal Reed, DC Comics, DC Universe, Derek Mears, drama, fantasy, horror, Ian Ziering, Jennifer Beals, Len Wein, review, sci-fi, superhero, Swamp Thing, TV, Virginia Madsen, Will Patton	| Leave a comment
Original Run: May 31st, 2019 – current
Created by: Gary Dauberman, Mark Verheiden
Directed by: Len Wiseman
Written by: various
Based on: Swamp Thing by Len Wein, Bernie Wrightson
Music by: Brian Tyler
Cast: Crystal Reed, Virginia Madsen, Andy Bean, Derek Mears, Henderson Wade, Maria Sten, Jeryl Prescott, Jennifer Beals, Will Patton, Kevin Durand, Ian Ziering
Big Shoe Productions, Atomic Monster Productions, DC Entertainment, Warner Bros. Television, 10 Episodes, 52-60 Minutes (per episode)
At the time of this writing, only two episodes have aired and the show has already been cancelled. Honestly, that's kind of infuriating, as this is a damn good show from just the small sample size I've seen, thus far.
Where Titans got off to a pretty rough start, between Doom Patrol and Swamp Thing, it looks like the DC Universe streaming service has quickly righted the ship and is making some damn good television.
At this point, I'm pretty sure that the service is in serious trouble and it is close to coming to an end, as it isn't selling enough subscriptions and this solid show, only the service's third, had its production closed down early, midway through its tenth out of the planned fifteen episodes. Additionally, it was then cancelled just after the pilot aired. Then DC Universe claimed it had something to do with North Carolina taxes, the State of North Carolina said that wasn't true and then someone who worked on this show said that Warner Bros. (DC's parent company) was sold to AT&T and they didn't have faith in Swamp Thing.
Whatever the reason, DC Universe has been managed like a bastard child and everything surrounding it seems like a big corporate clusterfuck.
So I was really looking forward to this show, as I love the character and have fond memories of the Swamp Thing movies of the '80s, as well as the old television show that used to air on the USA Network, back when I was in middle school.
Additionally, this show assembled a solid cast with Crystal Reed, who I thought was stellar as Sofia Falcone on Gotham, as well as Derek Mears as Swamp Thing, Virginia Madsen, Will Patton and Jennifer Beals. Also, a nice surprise in episode two is the addition of Ian Ziering, as the man that becomes another DC hero, Blue Devil.
What really makes this show work is that it commits itself to being straight horror, at least in these earliest episodes. We have some scenes that are very reminiscent of John Carpenter's The Thing and it is actually quite glorious and impressive.
The show also is very dramatic but thus far, it's all pretty good, the story is compelling and I'm already invested in the lives of the main characters. So much so, that it's kind of depressing that I will only ever see ten episodes.
It's hard to do a proper, thorough review and I usually wait until a new show has at least given us a full season but maybe if more people express their excitement and enthusiasm over this show, more people will give it a shot and maybe, just maybe, Warner Bros. could find a way to save it.
Pairs well with: the other DC Universe shows: Doom Patrol and Titans.
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text:
Gender Ideology and the Catholic Church
by Bryan R Cross
Many people have difficulty with the Catholic Church's teaching on sex and gender because they fail to recognize its philosophical dimension. As inheritors of twentieth-century positivism, many today assume that the quantitative sciences are the arbiters of truth, and that any other way of knowing, except that privileged and direct access to one's own internal subjectivity, can be no more than private opinion or pseudoscience. This philosophical error silences objection and shuts down dialogue by defining disagreement with itself as hateful and anathematizing.
Earlier this month the Congregation for Catholic Education released a document titled "Male and Female He Created Them: Towards a Path of Dialogue on the Question of Gender Theory in Education." The document is aimed at addressing the "educational crisis" created by a widespread anthropological ideology that is being presented in curricula as "neutral," while in fact it is opposed both "to faith and to right reason." The document refers to this ideology as an "ideology of gender," which the last two popes have criticized in various writings. This document, however, is the first written primarily to address this ideology, in this case by seeking to open a path toward dialogue and therefore inviting engagement.
Here I want to make explicit the philosophical dimension of this topic. In that light, I also address some common objections to the Church's teaching.
In Amoris Laetitia, Pope Francis carefully distinguished between understanding human weakness and accepting an ideology. Because criticism of an ideology is not a criticism of any person or persons, "Male and Female" should not be taken as criticizing any persons. Its aim in criticizing gender ideology is to help us see more clearly the errors of this ideology, so that we can more clearly see and live in peace according to the truth. With regard to the treatment of persons, the document affirms the "laudable desire to combat all expressions of unjust discrimination," the need to foster a culture of respect for every person, and the Church's opposition to "bullying, violence, insults or unjust discrimination" based on a person's "sexual tendencies."
The Catholic Church seeks to build a culture that is based on the recognition of the equal intrinsic dignity of all persons, and the truth that each human person is made in God's image and is loved by God. Each is a person for whom Christ died and with whom we hope to share eternal communion in heaven as beloved children of God. On this basis, the document opposes hateful acts of violence and unjust discrimination. At a time when persons who identify as transgender are vulnerable to higher rates of violence and suicide, these truths are an especially important message and serve as a necessary touchstone for dialogue.
On Philosophy Beyond the Limitations of Scientism
One of the most common sources of difficulty with the Church's teaching in this area is a failure to recognize its philosophical dimension. This domain is between that of the physical and social sciences and that of sacred theology. As inheritors of twentieth-century positivism, many people today assume that the quantitative sciences are the arbiters of truth, and that any other way of knowing, except that privileged and direct access to one's own internal subjectivity, can be no more than private opinion or pseudoscience. This diminished conception of the power of human reason is called scientism, and it is the philosophical air we breathe.
As a result of this tacit scientism, philosophy as a domain of inquiry and truth is often invisible or, at best, marginalized. Because gender ideology operates at the level of philosophy, it too tends to be invisible to those whose perspective is shaped by scientism. This is why persons can conceptually and performatively adhere to and advance gender ideology while sincerely denying that they hold anyideology, claiming instead to be following only science, best practices, and personal experience.
The 1998 encyclical Fides et Ratio makes clear that the Church views scientism and its concomitant philosophical skepticism as a philosophical error. The Church thinks and speaks in a broader intellectual tradition not restricted by scientism.
This intentional appeal to philosophy can also be seen in "Male and Female." See, for example, the distinction in paragraph 23 between the "order of nature" and the "order of biology," the latter being limited to what is "accessible to methods of empirical and descriptive natural science." Similarly, paragraph 29 argues for "a broadening of reason to include the dimension of the transcendent" and the need to "develop a reflection that draws from the ontological-metaphysical truth." Paragraph 34 describes the "need to reaffirm the metaphysical roots of sexual difference." Even the referent of "right reason" in the opening paragraph of "Male and Female" is not limited to what can be known through the scientific method but also includes philosophical insights.
Philosophical Anthropology and Sex
According to the philosophical anthropology of the Catholic philosophical tradition, we are a body-soul composite, not a spirit making use of a body. Patrick Lee and Robert George articulate this well in their critique of body-self dualism. The divinely revealed truth that God created us male and female is closely related to the truth that our bodies are not merely something that we have or use, but part of our very selves.
This doctrine is made more intelligible by the truth from the Catholic philosophical tradition that sex is part of human nature. Just as it belongs to the design plan of the human body to have a brain, arms, and legs, so it belongs to the design plan of the human body—and thus of the human person—to be male or female, for the sake of sexual reproduction and the communion of conjugal union.
Although sex ordinarily corresponds to the presence or absence of a Y chromosome, ontologically the distinction between male and female is not grounded in genetics but in the two natural orders of the body with respect to sex, toward the production of one gamete type or the other. In this way, sex is not at root private and subjective but objective and public. It is something that ordinarily can be directly recognized by others, because sex is manifested in the teleological order of the body. Sex is biological, yet it can be invisible to a reductionistic biology uninformed by the natural order visible in the bodily teleology present at the human scale.
This philosophical dimension of sex explains why treating intersex cases as a refutation of the male-female binary fails. This argument fails to recognize that anomalies from the natural order do not nullify that order. When a dog is born with only three legs, we recognize this not as an indication that the nature of dogs is to have either four legs or only three. Rather, we recognize such anomalies in relation to the design plan from which they depart.
Intersex conditions are rightly referred to as disorders of sexual development. Yet we must recognize the shared human nature fully present even in persons with a developmental disorder. This is the basis for affirming each person's equal intrinsic dignity. When we fail to recognize the natural order at the philosophical level, then the only "nature" a type can have is some observable feature or component that all (and only) the members of that type have in common, without exception. Thus, the notion that intersex cases nullify the male-female binary is not a refutation of the binary, but an indication of a failure at the philosophical level to recognize an underlying order intelligible to human reason.
There is another related objection to the male-female binary. The argument is that because a multiplicity of biological factors contribute to sexual differentiation and development, sex must either be a continuum, or there must be many more sexes than male and female. Again, the binary quality of sex as male or female can be grounded in the two natural orders of the body with respect to gamete production. This is true even if there is no single genetic marker that determines this. When the philosophical apprehension of nature is missing on account of a background assumption of scientism, the multiple genetic, biochemical, and hormonal factors contributing to sexual development seem to imply only a continuous spectrum of sexual differentiations, as if there were no ontological basis for the male-female binary.
In the end, treating intersex cases as undermining the male-female binary, and reducing sex to a particular constellation of genetic factors, are not philosophically neutral inferences. Rather, they are based on a scientistic conceptual framework.
Philosophical Anthropology and Gender
"Male and Female" uses the term "gender" to refer to "the way in which the differences between the sexes are lived in each culture." Gender, in this sense, is something objective and public, and yet culturally conditioned. The use of the term in this way is not an endorsement of unjust or sexist gender expressions. Instead, it is an affirmation of the virtuous, diverse ways that the real differences between the sexes are socially recognized, expressed, and celebrated in various cultures. Nor should this sense of gender be confused or conflated with the use of the term to refer to one's sense of one's own gender, often referred to as "gender identity."
The document claims that gender ideology errs in two related ways with respect to gender. First, gender ideology treats gender as not merely distinct from sex (which the document affirms), but as entirely separable from sex, as though the way sexes are lived in each culture should have no relation to sex and to the ontological difference between the sexes. This is an error, because it denies the underlying sex binary discussed above.
Secondly, gender ideology treats gender as "dependent upon the subjective mindset of each person, who can choose a gender not corresponding to his or her biological sex, and therefore with the way others see that person (transgenderism)." Here too the reason why this ideology is mistaken has a philosophical basis. The document does not deny that some persons can and do experience a dissonance between their affective sense of personal identity (particularly in relation to the social expression of sexuality) and the sex of their bodies. Nor is the document claiming that this experience of dissonance is voluntarily chosen. Rather, it argues that because of the relation of the body and soul in our given and shared human nature, and because of the relation of gender to sex, our subjective experience is not ipso facto determinative of either our sex or our gender.
Personal Experience, Science, and Church Teaching
Our sex and gender are given to us objectively in our body. Gender ideology denies this, because it presupposes body-self dualism.
According to gender ideology, we should choose to allow our subjective experience to define our sex and gender rather than allow the sex of our body and the gender corresponding to that sex to define our personal identity. That is the choice referred to in the document's criticism of gender ideology. Appealing to subjective experience as an objection to the document's teaching would presuppose that very component of gender ideology. In other words, it would presuppose the very point in question.
Hence, the notion that the Church is "listening" only if she treats each person's lived experience as the defining criterion of personal identity is itself an expression of the "absolute and unquestionable" character of gender ideology.
Another objection to the Church's teaching regarding gender ideology is that this teaching is either opposed to science or has been disproven by science. This objection points to studies such as this,explained here, suggesting a genetic link to gender dysphoria, and others such as this and this, suggesting differences in brain structure for persons with gender dysphoria. The interpretation of these studies is disputed, as David Cloutier pointed out recently here. But let's imagine, for the sake of argument, that researchers discover (a) a clear causal link between genetic factors and dissonance between one's subjective sense of one's affectivity and one's physical sex and (b) statistically significant structural differences in the brains of transgender persons indicating greater similarity to the brain structure of persons of the opposite sex.
Such discoveries would still not disprove the Church's teaching. On the contrary, they would be fully compatible with the truth of the Church's teaching. Just as being male in sex and acting in accord with the male gender do not depend on the presence of sexual desire, fertility, or even the presence of the male genitalia, so they do not depend on the presence or absence of a particular brain structure or genetic factors. The claim that such studies falsify or disprove the Church's teaching is itself based on an implicit scientism, according to which sex and gender are not grounded ontologically in human nature and the order of the body toward the production of one gamete type or the other, but rather in genetic constellations or brain structures.
There are many other possible objections both to the document and to this essay, which space and time do not allow me to address here. And I welcome critical replies as part of the dialogue for which this document calls. I hope that I have shown here at least two things.
First, that from a perspective of scientism and reductionism, scientific evidence can be perceived as conflicting with Church teaching, when in fact it does not. From that perspective, there is simply no ontological space in which to see how the teaching could harmonize with those scientific data. Second, that when this document states that gender ideology presents itself as neutral but also as "absolute and unquestionable," and thus precluding dialogue, it is pointing to a philosophical error that silences objection by defining disagreement with itself as hateful and anathematizing.
At the same time, our response to persons who experience gender dysphoria, who identify as transgender, who are victims of violence, or who hold and advance gender ideology—as well as those who oppose it—should always be one of respect. We should strive for openness, an authentic desire to hear their stories, and a robust defense of their human dignity as fellow children of God.


Keep up with all the latest news from your town, including updates from the Caterham BID and its member businesses, plus find out about what's on and things to do in the town centre.
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The reverse communication interface subroutine for symmetric eigenvalue problems is dsaupd . The subroutine is called as shown in Figure 3.4. The argument which may be any one of the settings listed in Table 3.3.
Figure 3.4: Calling the ARPACK subroutine dsaupd.
`LM' Eigenvalues largest in magnitude.
`SM' Eigenvalues smallest in magnitude.
high end than from the low end.
The following is a list of the spectral transformation options for symmetric eigenvalue problems. In the following list, the specification of OP and are given for the various modes. Also, the iparam(7) and bmat settings are listed along with the name of the sample driver for the given mode. Sample drivers for the following modes may be found in the EXAMPLES/SYM subdirectory.
Regular mode (iparam(7) = 1, bmat = 'I' ). Use driver dsdrv1.
Shift-invert mode (iparam(7) = 3, bmat = 'I'). Use driver dsdrv2.
Regular inverse mode (iparam(7) = 2, bmat = 'G'). Use driver dsdrv3.
Solve in regular inverse mode.
Shift-invert mode (iparam(7) = 3, bmat = 'G'). Use driver dsdrv4.
Buckling mode (iparam(7) = 4, bmat = 'G' ). Use driver dsdrv5.
Cayley mode (iparam(7) = 5, bmat = 'G' ). Use driver dsdrv6.


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Q: How to put constraint on warnings? I have dotnet solution that has many warnings (legacy code). We work both on maintaining legacy code and adding new features.
On top of "standard" analysers, we are using Stylecop and Meziantou.Analyzer. They produce warnings as well.
The thing is that I can see that teammates tend to add more warnings when they develop new functionalities.
Is there a way I can limit number of warning to prevent new warnings added?
Example
Currently we have 200 warnings in the code.
Lets treat those as "known warnings".

Is there a way, I can somehow set constraint on number of warnings to 200 on build level? If someone adds new warning then build would fail.
How do you ensure people don't add new warnings in your projects?
Longterm solution, I know we need to get rid of them. But how to prevent adding new warnings until we get rid of all existing one?


Mayor Kenney, Councilwoman Maria Quiñones-Sánchez and AT&T Mid-Atlantic President Mike Schweder presented a $500,000 AT&T Foundation grant to support ninth-grade students at Frankford High School through Johns Hopkins' Talent Development Secondary Diplomas Now program on October 14th.
Diplomas Now partners with the school community to reorganize the schedule so each student at risk has caring adults and those adults have the tools to improve achievement. Working with administrators and teachers, a Diplomas Now team sets goals based on students' attendance, behavior and course performance. They develop a strategic plan, implement an early warning system to identify struggling students and regularly review the data. Teachers and the Diplomas Now team craft individual student plans that include more math and English time and teacher teams with shared planning time.
Read this excellent report from Newsworks at this link. It explains what the problems are and possible solutions to keeping students in school to graduate. Its long but the problem is complex. Take the time. These kids are the future.


The Hadith is authentic without doubt, and it speaks about an unseen matter, which Allah knows of, and it is one of the matters that is possible, without any kind of confusion, as it is one of the necessities of prophethood and being a messenger, and it points to something other than one what questioner is asking.
This Hadith has been narrated through many different routes, and all going back to two Sahabi, the first is Thawban, the lad of Allah's Messenger, peace and blessings be upon him, and the second is Abu Hurairah, may Allah be pleased with him, who memorized what others from the Sahabah did not, in terms of Ahadith.
This Hadith was collected by Abu Dawud in his Sunan, 2/210, and ar-Ruyani in his Musnad, 25/134/2, from the route of `Abd ar-Rahman bin Yazid bin Jabir from Abu `Abd as-Salam, and all of its narrators are trustworthy, except Abu `Abd as-Salam, he is unknown, but he was not alone in narrating the Hadith, as we will see.
The second route from Thawban is from Abu Asma' ar-Rahbi from Thawban, which was collected by Ahmad, 5/287, and al-Bazzar, from al-Mubarak bin Fudhala, who narrated it from Marzuq Abu `Abdullah al-Himsi, who narrated it from Abu Asma' ar-Rahbi, and this chain of narration is great, and its narrators are all trustworthy, except al-Mubarak commits Tadlis, but he expressed that he heard it from Marzuq, so that does not affect the chain of narration.
The third route is from `Abd bin `Ubaid at-Tamini al-Abasi who narrated from Thawban. This route was collected by at-Tayalisi in his Musnad, pg 123 (2/211 in the copy of Shaykh al-Banna), and this chain is weak, but it is strengthened by the previous chain of narration.
Therefore, the second path which we mentioned is enough of proof that it is authentic, and these two weaker chains only strengthen it.
As for the version of Abu Hurairah, it was collected by Ahmad in his Musnad, 2/259, from Shubail bin `Awf, from Abu Hurairah who said, "I heard Allah's Messenger, peace and blessings be upon him, say to Thawban, 'How will you be, O Thawban, when the nations gather against you…'" It is the same Hadith, and its chain is not bad, and it has other Ahadith as witnesses.
Therefore, the Hadith is authentic with all of its routes, so we cannot reject it in terms of the authenticity of the chain, and we must submit and accept it.
I am amazed at the doubt in this Hadith, and that it, "speaks about the unseen, and only Allah knows the unseen." It is sad to see that these types of accusations are made by many of our Muslim youth, and I have heard it many times before, and it harms Islam, as it essentially states that since the Prophet, peace and blessings be upon him, is human just as other humans, he has no connection with the heavens, and no revelation is revealed to him.
Therefore, we as Muslims must believe that the Prophet, peace and blessings be upon him, does not attain knowledge of the unseen alone, but it granted knowledge of some aspects of that knowledge by Allah, and that the Prophet, peace be upon him, tells us about that unseen through the Qur'an and Sunnah.
The matter such as the details of the Last Day, the resurrection, paradise, hellfire, the angels, the jinn, and details about what will happen in the future, are only matters of the unseen that Allah gave to His Prophet, and His Prophet told us about them. After knowing this, how can someone have any kind of doubt in any Hadith, due to it speaking about the unseen?!
If this doubt is true, we would have to reject many Ahadith, it may even be up to one-hundred Ahadith, or more, and these are all signs of his Prophethood, peace be upon him, and the truth of his message, and rejecting all this is falsehood, and a well known fundamental is that whatever necessitates falsehood is falsehood in of itself.
Al-Hafidh Ibn Kathir has investigated these types of Ahadith in his Tarikh, and he dedicated a chapter thereto, he said, "Chapter: Things which the Prophet, peace be upon him, told of which are in the future of his life, and after his death, and those which have happened of those things." Whoever wants to review that, it will bring guidance and light to him, he should look to al-Bidayah wa an-Nihayah, 6/182-256.
Rather, it drive people to do the total opposite thereof, and it speaks of the reason that the nations will gather upon them, and it is that we will, "Love life and hate death", this love of life and hatred of death is what drives us to be pleased with our state of lowness, and our going away from Jihad in Allah's Path, and all of its types, such as Jihad of one's own self, and Jihad with money, and by speaking, and other types; this is the situation of most Muslims today, to our great sorrow.
This Hadith tells us that to finish with this situation that we are in is to act upon this Hadith, and to take the means of success and winning in this life and the next, and that we return to what our Salaf were upon, they would love death to the same extent that their enemies love life.
2. It is that a person sells something to someone for a certain price, for a certain amount of time, then purchases it back later for a less price, thereby making a profit.
3. Collected by Abu Dawud, 2/100, Ahmad, numbers, 4825, 5007, and 2562, ad-Dulabi in al-Kunaa, 52, and al-Baihaqi, 5/316, with two chains from Ibn `Umar, one of which was declared Sahih by Ibn al-Qattan, and the other was declared Hasan by Shaykh al-Islam Ibn Taimiyyah, in al-Fatawa, 3/32, 278.
4. Collected by Ahmad, 4/103, at-Tabarani in Mu`jam al-Kabir, 1/126/2, al-Hakim, 4/430, Ibn Bashran in al-Amali, 1/60, Ibn Mandah in Kitab al-Iman, 1/102, and al-Hafidh `Abd al-Ghani al-Maqdisi in Thikr al-Islam, 2/126, from the route of Ahmad who narrated it from Tamim ad-Dari, from Allah's Messenger, and its chain is authentic. Al-Hakim declared it authentic, and ath-Thahabi agreed with him, al-Maqdisi said, "It is a Hasan Sahih Hadith", and it has two other narrations which strengthen it, one from al-Miqdad bin al-Aswad which Ibn Mandah and al-Hakim collected, and it has an authentic chain, and the other from Abu Tha`laba al-Khashni, which was collected by al-Hakim, 1/488.


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1600-year-old burial of woman found in eastern Denmark
This summer, the archaeologists from the Kroppedal Museum found an approximately 1600-year-old grave very close to Kong Svend's Høj in Smørum in Egedal Municipality in Denmark's Hovedstaden Region. The grave has now been completely excavated.
The woman's grave excavated by the Kroppedal Museum in Kildedal Syd
in Egedal Municipality [Credit: Kroppedal Museum]
"The grave dates from the last part of the Roman Iron Age, the last part of the 300s. In the grave we found a well-preserved female skeleton. We do not know who she was. But she died quite young, "says museum director Mads Thernøe.
The glass beads that originally sat in a chain [Credit: Kroppedal Museum]
"The bereaved laid her in the grave, dressed and with her best jewellery. She was laid on her side, with her upper body slightly turned, so it was easier to place the jewellery neatly on her chest. She was buried on a marked hillside near her home and with her face turned towards the river valley below the hill. It is is clear that she belonged to the elite of society when she was laid to rest more than 1600 years ago. With her to the realm of the dead, she got jewellery, pearls and pottery," says Mads Thernøe.
The comb found in the grave [Credit: Kroppedal Museum]
The comb after cleaning and restoration [Credit: Kroppedal Museum]
"The grave goods consisted of, among other things, five fibulae, several pearl necklaces, a bronze chain, a comb, two earthenware vessels and a food offering - presumably cooked meat. The woman was between 30 and 35 years old when she died, which was a mature age for the time, and she enjoyed a mid-level status in the community. The things found with her testify to this."
Bronze fibula which held the woman's clothes together and a witness to her status in society
[Credit: Kroppedal Museum]
The Bronze fibula after cleaning and restoration
Analysis of the jewellery found with the woman suggests that she came to the area and married a local man. This is because women among the elite in society were often married off to families of equal status, while the men remained on the family farm. The further up the hierarchy one was, the further away the bride came from. In this case, the woman's own family may have come from as far as 50 kilometres away.
One of the two ceramic vases found in the grave [Credit: Kroppedal Museum]
On Friday 10 December, the grave goods and the woman's skull will be on display at the Kroppedal Museum.
Source: Kroppedal Museum [Trsl. TANN; December 01, 2021]
Labels Archaeology, Denmark, Europe, Northern Europe


Naples Outlet Center located at 6060 Collier Blvd in the fast growing area of South Naples will soon host a high season Farmers Market every Friday from 8 am to 1 pm. Vendors are still being accepted and this high season Market is expected to serve local and seasonal residents of East Naples, South Naples, and Marco Island. Market organizers expect 30 vendors to begin and local companies who offer baked goods, handmade items, personal care product, or all natural home grown items are encouraged to contact 239-273-2350 to apply.


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Archaeologists in Greece have located a "major treasure" of Minoan origin in a Bronze Age settlement on a small island in the Libyan Sea, the culture ministry said Friday.
A team excavating on the tiny island of Chrysi south of Crete for over a decade have unearthed a 3,800-year-old Bronze Age compound containing gold jewels, glass beads and the remains of bronze talents, the common unit of value of ancient Greece.
Some of the beads are of Egyptian origin, the culture ministry said in a statement.
The archaeologists also found ancient fish tanks and large amounts of porphyry - a prized purple pigment of the ancient world derived from sea snails, and later the colour exclusively reserved for Roman emperors.
"The amount of broken shells found...show a very early Mediterranean production of porphyry dye," the culture ministry said.
The cache "constitutes one of the most important (Minoan treasures) ever found in Crete until now," it added.
The Minoan civilisation, a naval superpower of the Bronze Age era, flourished on Crete and other Aegean islands until about 1500 BCE.


The annual exhibition is open to all photographic images falling within the Society's (OPS) acceptability guidelines. There is no restriction or rigid classification of subject matter within the acceptability guidelines. However, the Society reserves the right to reject any images which it considers may cause offence when displayed.


Has the fairy tale mentality has lead people astray?
Marriage is still working well around the world.
Have any of these great couples ever fallen out of love with each other?
Marriage is one of the greatest contributors to social order in the world today.
Kim now calls Austin, Texas home, and she loves the city known for being the Live Music Capitol of the World. But Kim's personal background and professional career are so like those of other upwardly mobile women it isn't hard to understand why her show reflects so many different kinds of listeners.


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How Big Is The Moon Compared To The Us?
It's fair to say that the US is a pretty large country. In fact, it's one of the largest countries on Earth. Only behind China, Canada, and Russia, in fact. But what about in relation to the moon? Well, let's find out!
So, how big is the moon compared to the US? The moon is roughly 4x bigger than the US, with a surface area of approximately 38 million square kilometers compared to the 9,372,610 square kilometers of the USA. In other words, The whole of the US can fit on the moon whilst leaving plenty of space.
In fact, the moon's surface area is of a size that is approximately the equivalent of the US combined with all of Russia and Canada.
Let's paint another picture! The moon's surface could fit all of the US, Europe, China, Brazil, and South Africa on it.
While from here, it doesn't look too big, rest assured, the moon is also pretty damn big!
How big exactly, and how it compares to the US in size, is what we'll continue to discuss below!
1 How Big Is The United States Of America?
2 How Big Is The Moon?
3 How Many United States Can Fit On The Moon?
How Big Is The United States Of America?
The United States of America is approximately 9,372,610 square kilometers. This makes it the fourth biggest country in terms of land area size, above Brazil and below China, Canada, and Russia.
The USA is the fourth biggest country in the world when it comes to area size.
Located in the northern hemisphere and the western hemisphere on the North American continent.
To our north is Canada, the second largest country in the world, which is always shocking because we look bigger on the world map. But give it up, folks; Canada is bigger.
To our East is the Atlantic Ocean, to the West the Pacific Ocean, and to the South is Mexico and the Gulf of Mexico.
The US consists of 50 states. You may even live in one of these states.
So, of course, when measuring the USA up, we also include the likes of Alaska and Hawaii of, which aren't directly connected to the main body of the nation.
The total area size of the United States of America is, therefore, approximately 9,372,610 square kilometers (which is equivalent to 3,618,783 square miles).
Russia, the biggest country on our planet, measures in at a whopping 17,098,242 square kilometers. Canada is 9,984,670 square kilometers, and China is 9,706 961 square kilometers.
So Canada and China are pretty similar to the US. It's just Russia that is well out in front by being nearly double the size.
The USA is 2,800 miles wide from the eastern seaboard to the west coast. It is 1,582 miles from the north border to the south border.
Russia, Canada, and China are the only countries wider than our nation.
In comparison to the biggest country, Russia, the width is measured at approximately 6,200 miles. So it's a hell of a lot wider, you could say, than the US.
Canada's width measures in at about 4,426, whilst Brazil's is 2,603 miles.
The USA is about 2 and a half times wider than India and four and half times wider than France.
Germany is a mere 6 times smaller than the US, whilst the USA is also TEN, yes ten, times wider than the United Kingdom.
How Big Is The Moon?
Our moon measures in with a surface area of 38 million square kilometers (14.6 million square miles). That makes it the fifth biggest moon in our solar system and way bigger than any country on Earth.
Earth's moon, our very own natural night light, is the fifth largest moon in our solar system.
Our moon is so big that it's even bigger than the dwarf planet Pluto, which is the smallest planet in our solar system.
How big exactly is it? Let's get into the numbers.
The moon's mean radius is 1,737.5 kilometers (1,079.6 miles).
Its mean diameter is 3,475 kilometers (2,159.2 miles).
The moon's equatorial circumference is 10,917 km (6,783.5 miles).
And the Surface area measures in at 38 million square kilometers (14.6 million square miles),
So compare that to the figures in the last chapter. It is clearly bigger than Earth's biggest country, Russia.
Although it's much bigger than the US, the moon is actually a lot smaller than Earth.
In fact, the moon's surface area is actually smaller than that of the whole continent of Asia, which is 44.5 million square kilometers.
Going back to Earth, the moon is less than a third of the width of our home planet.
Its diameter is about a quarter of the Earth's, meaning four moons could fit side by side across the Earth.
To give you an example of what that looks like, think of the Earth as a nickel and the moon as a coffee bean. You would be able to fit four coffee beans onto one nickel.
Now we are primarily talking about surface area measurements here.
But we could open a huge can of worms if we started talking thoroughly about mass and density measurements as well.
But maybe this will paint a picture of how big the moon is, or should I say how small it is compared to Earth.
Let's pretend that our Earth is hollow and there is a door we can open that leads into its center. Here, we can store whatever we like.
Now, let's say we want to clone the moon and store these clones in the Earth's hollow center.
Don't ask questions; everyone has their reasons for doing the things they do.
And besides, I think it would be handy to have a few spare moons stored somewhere in case something happened to the original.
Now, how many moons would we be able to store inside the Earth?
The answer is a huge 50 moons!
So yes, Earth is considerably bigger than the moon, but the moon still outsizes our home nation.
How Many United States Can Fit On The Moon?
When it comes to surface area measurements, we can fit four full United States onto the moon's surface with a little bit of room spare.
So, with all that said, how many United States could we actually fit on the moon?
Now, remember, we're not talking about how many United States could fit IN the moon, as that makes things very complicated.
What we are concerned with working out here is how many United States could fit on the surface area of the moon's lunar surface.
It's a case of seeing how many times the United States' surface area measurement figure fits into that of the moon.
So, what do we know? We know that the moon has a much bigger surface area than the United States, so the latter could easily fit on the former at least once.
We know that the moon's surface area measurement is about 38 million square kilometers, whilst the United States is about 9,372,610 square kilometers.
So we know that the moon's surface is a little over 4 times bigger than that of the United States.
So it's simple!
By this logic, we know that 4 United States could fit onto the moon's surface with a little room spare.
To put the sheer size of the moon's surface area into perspective, let's look at another example.
We could fit the US, Russia, and Canada all onto the moon's surface at the same time.
We could also fit the US, China, Brazil, South Africa, and all of Europe onto the surface.
But if we're strictly using the US, 4 is the number of times we can fit a whole US onto the moon.
So, the moon, when it comes to surface area, is much bigger than the United States of America.
Four and a bit times bigger, in fact.
The moon is so big that it's bigger than Earth's biggest country, Russia.
But don't let the moon fool you. It's big, but it's nowhere near as big as our beautiful home planet, Earth.
Other guides you may want to check out:
Is Russia Bigger Than The Moon?
Is The Moon Bigger Than Pluto?
Is Australia Wider Than The Moon?


FREE SEWING TABLE WORTH £49.99 SUPPLIED WITH THIS MACHINE Imagine a sewing machine compact enough to whisk away to a sewing class, or fit in your bookshelf. Now, imagine this same machine is chock-full of features designed to meet the high demands of the PFAFF® sewer. The PFAFF® passport™ 3.0 is specially designed for small spaces, as well as going places such as classes, retreats or any sewing journey. It is your license to venture out in the world and discover new ways and new places to sew! No limits. Thread snips Automatically cut top and bobbin threads, pulling thread ends to the back side of fabric. Start/Stop Button Press the Start/Stop button to sew without the foot control. Makes sewing long seams, free-motion and buttonholes easy. Speed Slider Adjust the speed with the speed slider for full control. External Feed Dog Drop Convenient location; lower the feed dogs from the back of the free arm. Ideal for stippling, freemotion embroidery or darning. Two LED Light Sources Optimized bright lights illuminate your sewing area without shadows. Stitch Menu Tab Convenient location on the right side of the machine. Pull out to view the complete collection of stitches. Extension/Quilt Table Optional extension table provides support for your projects. You can buy this table at half price when you order the machine.