IELTS  Essential  words  by James from Jhazm Podcast Series !! 

English/Persian and with Caption { words  and  Examples ! }   

Enjoy !!

IELTS Essential Words  دوره هضم لغات ضروری آیلتس  English/ Persian

In this channel, we are gonna be concentrating on  some usrful common mistake sin the english language

EngSavvy (  Common Mistakes  In the English Language )

In this channel , the aforesaid book  { 504 } is gonna be worked on. Let's hit the book guys !!!!!!

Engsavvy ( 504 Absolutely Essential Words )

Boost your professional English skills with 'English for Business & Careers'.
 Learn everyday phrases  and workplace communication to speak with confidence in any work environment.

#english
#business

English for Work with James

「～だろうか／～ではないだろうか」と「～だろう」の違いについて

たとえば、
①　それは　大きなまちがいだろうか。（いや、まちがいではないだろう。）
②　それは　大きなまちがいではないだろうか。（いや、まちがいだろう。）
　反語（はんご）を使った文型で、筆者の考えを強調（きょうちょう）している。

③　それは　大きなまちがいだろう。
　　　　筆者の考えや推量（すいりょう）を表している。

ことばコトバ言葉kotoba

JLPT N2-N3 読解「～だろうか」と「～だろう」

Hello! I went to Kyoto for sightseeing during May 17th - 19th.
It was one of the most beautiful season in Kyoto, especially green color of new leaves.
I am going to talk about our trip on Kyoto. 

On the first day at Kyoto, we went Heian Jingu and Shin-en, which is a traditional Japanese garden.  We can see some flowers like Shobu, Has, and Kouhone.  They are so beautiful.

After that, we enjoy Ochabana, which is a kind of flower arrangement in Japanese style.
Master gave us some tips for Ochabana.  That is Subtraction and triangle. To throw out the extras. 

Our trip goes on and on. I'll tell you the rest later.  Thank you so much.

新緑の５月　京都を旅行しました。
５月１７日から１９日の三日間の京都観光についてお話します。
今回は　第１日目
１０時　平安神宮に集合
平安神宮は平安遷都（へいあんせんと）1100年を記念して、明治28年に遷都（せんと）のおや神様である第50代桓武天皇（かんむてんのう）をご祭神（さいしん）として建てられました。
JR京都駅からバスで約３０分　　赤い大きな鳥居が目印です。
１０：３０　神苑（しんえん）
33,000㎡の広さの日本庭園。5月の見ごろは　菖蒲（しょうぶ）、蓮（はす）、コウホネの花です。
１１：１０　お茶花体験
日本の華道と海外のフラワーアレンジメントの違いを知りました。
フラワーアレンジメントは、足し算（たしざん）で作るのに対して、日本の華道（かどう）は引き算（ひきざん）でいける。つまり、余分（よぶん）な　葉や枝を切って落とすのです。シンプルに！　形は三角（さんかく）にする。そうすれば、すがたよくお花が生けられると教えてもらいました。

私の京都旅行はまだまだつづきますが、つづきはまた今度！


やさしい日本語（にほんご）

京都旅行vol.1 Trip in Kyoto vol.1

In this episode you will find out what this podcast is about. 

Like a Chameleon

Intoduction to the podcast

Recycled Human Hair Is Cleaning Belgian Water
Imagine if the hair caught in your drain could actually help to clean it.

That's what's happening in Belgium, where human hair is being recycled to help clean the country's water.

Around the country, hairdressers are taking the hair they cut from their customers' heads and putting it into bags. These bags of hair are then collected by a non-profit organization that runs a project called "Hair Recycle."

The hair collected by Hair Recycle is put through a machine and made into 60-centimeter-wide square mats. These mats can then be put into a drain to absorb oil and other pollution before it gets into a river or stream.

According to the Hair Recycle website, 1 kilogram of hair can absorb up to 8 liters of oil.

To take part in the project, hair salons have to pay a small fee. They then receive bags to collect the hair, and a sticker for their window, so they can show their customers that they are helping the environment.

Salons in Luxembourg and the Netherlands are also taking part in the Hair Recycle project.

Belgium's Hair Recycle is not the only hair recycling project, however. In the UK and Ireland, a company called Green Salon Collective is recycling hair and other waste from salons, including metal, paper, plastic and chemicals.

And a similar company called Green Circle Salons is recycling hair and other salon waste in the US and Canada.

So maybe hair in the drain can be a good thing?

Practice Listening, Reading & Comprehension

Recycled Human Hair Is Cleaning Belgian Water

Knowing Everything About Chinese Cultrue

15Eight major cuisines in China

HSK2

HSK2-10-4

The Information Commissioner's Office (ICO) has directed Serco Leisure, a leisure center group, to cease the use of facial recognition technology for monitoring staff, citing unlawful processing of biometric data and concerns over fairness and proportionality.