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Mastering CMake Sixth Edition, Ken Bill Martin and Hoffman With contributions from: Andy’s recipe for chocolate brownies (adapted from a recipe in.. Mastering CMake Sixth Edition, Ken Bill Martin and Hoffman With contributions from:Medulloblastoma of the pineal region: a case report.
Medulloblastoma is the most common malignant brain tumor of childhood. We present a case of medulloblastoma in a 2 1/2-year-old boy who presented with acute-onset severe headache, nausea, and vomiting. Computed tomography demonstrated a heterogeneous mass with cysts, in the pineal region. The mass was surgically resected, and pathologic examination revealed classic medulloblastoma.

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January 24, 2015

“[BTS] is more than a fandom, more than something that we are doing for a little bit of fun — it’s more about standing up for things.”

Since the birth of Big Bang and Big Hit, K-pop has been growing rapidly in both popularity and recognition throughout the world. The K-pop industry has been shifting its focus from the mainstream scene to one that is more approachable by Western audiences. The industry also has a history of creating ambitious male groups that can pull off a variety of songs, as well as performing them in a completely flawless manner.

Among those pioneers is BTS, who have consistently been setting new goals for the industry while also being a great role model for young performers, as well as a powerhouse for showcasing positive messages. Their popularity has grown to such an extent that they received the Annie Award for Best International Album for their hit album Love Yourself: Answer and released music videos for all of their singles. Their most recent achievement was placing second at the 2016 Billboard Music Awards.

In conversation with Billboard, BTS spoke about how they use their position as one of the most prominent artists in the K-pop scene to further progress the industry, as well as the positive

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How to lock both read and write thread on a file using FileLock?

I am trying to work on a multi-threaded file application, where two threads are writing to the same file (The same file is shared between both threads). File is being locked for Read and Write when I am opening this file using FileStream, but both threads are getting into a deadlock situation for locking. Is there any way of locking only for Read and Write?
FileStream fStream = new FileStream(fileName, FileMode.Open, FileAccess.ReadWrite, FileShare.ReadWrite);
FileStream fStream2 = new FileStream(fileName, FileMode.Open, FileAccess.Write, FileShare.ReadWrite);

fStream.Lock();
fStream2.Lock();

Where the dead lock happens is

A:

Do you want to lock the file or the stream? If you want to lock the file you should lock on the FileShare.FileLock object:

If you want to lock the stream, you can lock on the FileStream object:

BACKGROUND: The incidence of T1,3 and T3 in children is rising and therefore there is a heightened importance of evaluating the malocclusion through a multiplanar approach. Due to the close relation between dentofacial anatomy and the brain, especially the craniofacial anomalies have a considerable effect on central sensory systems and an increased risk of neurocognitive dysfunction. Thus, evaluation of the craniofacial and occlusal morphology is important.OBJECTIVES: The aim of the study was to establish the relationship between the neurocognitive function and the occlusion and the craniofacial morphology.DESIGN: Anteroposterior and lateral cephalograms of patients, whose occl
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Why we return numeric value while read the each column data in pandas?

I am trying to pick each individual column data based on given column names, by using df.iloc, for example, I am trying to pick ‘A’ column data, first I read the value for first A column and I am getting it as 101.98. Then I read first 4 column’s data and I am getting 4.96 as the result. Is there any reason behind this?
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.randint(100,110,size=(5,5)), columns=[‘A’,’B’,’C’,’D’,’E’])
print(df)

df.iloc[0,:] # get the first column data
print(df.iloc[0,:].values[0]) # get the first column value

df.iloc[4,:] # get the 4th column data
print(df.iloc[4,:].values[0]) # get the 4th column value

A:

Pandas DataFrame is a 2d tabular structure that has metadata about each row. Among these metadata, are the columns, and possibly the index. With the np.random.randint(100,110,size=(5,5)), you probably don’t have any index, and the columns are the data starting at the values in df.iloc[:, 0].
np.

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