A Manga About A Demon Lord Who Wants To Be Defeated By The Hero Quickly
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Language: English
5.0
1 votes
Language: English
Synopsis
The demon lord who has come to the mortal realm, accompanied by her followers has a secret that no one can know
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praveenskillslash
praveenskillslash
Apr 12, 2023
As technology advances, universities and colleges around the world are finding new ways to use technology to improve the student experience. One such way is the use of chatbots powered by data science to help students with their inquiries. These chatbots can provide instant assistance to students and save time and resources for the college staff. In this article, we will explore the benefits of using a college enquiry chatbot powered by data science.
A college enquiry chatbot is an AI-powered chatbot that can provide students with instant answers to their inquiries about courses, admissions, fees, scholarships, and more. The chatbot uses natural language processing (NLP) and machine learning (ML) algorithms to understand and respond to student inquiries. These chatbots can also collect data on the types of inquiries and questions asked by students, which can be used to improve the services provided by the college.
One of the main benefits of using a college enquiry chatbot is the 24/7 availability it provides. Students can access the chatbot at any time of the day or night, without having to wait for a staff member to be available. This can be particularly useful for students who are located in different time zones or who have busy schedules that prevent them from making phone calls or visiting the college in person.
Another benefit of using a college enquiry chatbot is the speed at which it can provide answers. With the use of NLP and ML algorithms, the chatbot can understand the context of the student's inquiry and provide a relevant response within seconds. This can save students a lot of time and frustration compared to waiting on hold on the phone or sending an email and waiting for a response.
Data science plays a crucial role in the development and optimization of a college enquiry chatbot. The chatbot can be trained using historical data on the types of inquiries and questions asked by students. This data can be used to develop and refine the NLP and ML algorithms used by the chatbot to ensure accurate and relevant responses. As more data is collected, the chatbot can be further optimized to improve its accuracy and effectiveness.
One example of how data science can be used to optimize a college enquiry chatbot is through sentiment analysis. Sentiment analysis involves using ML algorithms to analyze the tone and emotion of a message. By analyzing the sentiment of the messages sent to the chatbot, the college can gain insights into the overall satisfaction of students with their experience. This information can then be used to identify areas for improvement in the services provided by the college.
Another example of how data science can be used in a college enquiry chatbot is through personalized recommendations. By analyzing the historical data on the types of inquiries and questions asked by students, the chatbot can provide personalized recommendations to students based on their previous interactions with the chatbot. This can help students find the information they need more quickly and easily.
In addition to improving the student experience, a college enquiry chatbot can also save time and resources for the college staff. By automating the process of answering common inquiries, staff members can focus on more complex tasks and provide better service to students who require additional assistance.
Overall, a college enquiry chatbot powered by data science can provide many benefits to students and staff alike. With its 24/7 availability, fast response times, and personalized recommendations, the chatbot can improve the student experience and save time and resources for the college staff. As data science continues to advance, we can expect to see even more innovative ways in which chatbots can be used to improve education and student services.
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Alan Luiz
Alan Luiz
Aug 15, 2022
Ukraine War: The Donbas body collector who has lost count
Aleksey Yukov standing next to the white van, marked with a red cross
Image caption,
Aleksey Yukov and his men recover dead bodies of Ukrainian and Russian soldiers killed in combat in the Donbas
Aleksey Yukov has lost count of the bodies he's recovered in the Donbas over the past five months. He says he thinks it's more than 300, but he can't be sure.

Aleksey and his men drive a refrigerated white van, marked with a red cross, to carry out their work. They often drive towards danger to collect the bodies and remains of dead Ukrainian and Russian troops and civilians.

"We work with no days off. Constantly. We drive, we investigate, we transport, we search, all the time," he says.

It's grim work too - digging up the decomposing bodies of Russian soldiers buried in shallow trenches, or gathering their remains from burnt out armoured vehicles.

According to the United Nations, more than 5,000 Ukrainian civilians have been killed since Russia invaded in February.

There are no official figures for how many Ukrainian troops have died. But one adviser to President Zelensky told the BBC last month that between 100-200 Ukrainian soldiers were being killed every day. On average it's at the lower end of that scale.


Aleksey says that figure sounds realistic to him. But he believes the Russians are losing three times that number.

One Ukrainian soldier we spoke to, who had fought in Severodonetsk, described Russian tactics as similar to the First World War - with waves of their infantry running into a hail of bullets.

Smoke rising near homes in Donbas
Image caption,
Smoke rises near homes in the eastern Donbas region, where Russia has targeted its ground offensive
Who does Aleksey think is winning the war? "It's not about who is winning," he says. "It's about who's right. They [Russia] came here and that was unforgivable".

Every Ukrainian soldier we spoke to said they still believed they could win. Even in units that had suffered combat casualties of more than half of the troops.

But it's taking its toll on the living as well as the dead. Aleksey hasn't seen his one-year-old daughter for months.

"This war has ruined the life you had and the one you've been building," he says.


He adds that at the end of the day it all catches up: "That feeling when you are empty inside. The unfillable void".

Why Russia wants to seize Ukraine's eastern Donbas
Death comes quickly in the Donbas. Russian shells take mere seconds to land, and they're being used in industrial quantities. On average Russia is firing 20,000 artillery shells a day. Ukraine is able to respond with just 6,000.

There's no respite from the sound of heavy shelling at a military medical station we visit. The chief medical officer - who only wants to be known as Dr Anatoliy for his own safety - describes the situation on the frontline as "fragile".

He shows us photographs of a badly damaged military ambulance - riddled with bullet holes and torn to shreds by shrapnel. Dr Anatoliy says the red cross painted on their vehicles mean nothing to Russians. Two more ambulances are waiting outside the building under camouflage nets - ready to go to pick up the injured.

Tina packing a military bag inside an ambulance
Image caption,
Before volunteering to join the army Tina worked at a children's hospital
We meet Tina and Polina, two front line medics.

Tina used to work at a children's hospital before she volunteered to join the army. She wipes away tears as she talks about the family she's now missing.


"The pain goes away, because you have a task: to get a person to a hospital alive" she says. I ask if she's scared. "Of course it's scary. When a shell lands nearby, everything shrinks inside you".

For every soldier killed many more are injured. Tina says she's not allowed to give numbers but adds "there are casualties almost every day, and not just one. Sometimes many, sometimes a lot".

Polina standing near a vehicle
Image caption,
Twenty-one-year-old Polina says she exercises and listens to music to keep some sense of normality
Polina is just 21. The war's already cast a big shadow over her short life.

Her father and uncle are now prisoners in Russian-occupied Ukraine. She says she's trying her best not to let it get her down. She exercises and listens to music whenever she can - just to keep some sense of normality.

But Polina admits it's hard not to feel gloomy and depressed: "Apart from the bullets flying over your head, wounded people - and those wounded are often my friends and buddies - if you're taking it to heart it's going to be tough".

It's the troops she treats who give her hope.

"The guys who are injured and exhausted don't even want to go to hospital sometimes. They say I'm not going to leave my mates, we're holding the line together".

line
War in Ukraine: More coverage
RUSSIA: Stop the fighting: Russian soldier's mum speaks out
WATCH: War nears Ukraine maternity ward
ANALYSIS: Is the tank doomed?
READ MORE: Full coverage of the crisis
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Outdoor Blogger
Outdoor Blogger
Nov 27, 2022
An electric riding lawn mower is a great investment for any homeowner who wants to make their life easier. With an electric riding lawn mower, you will not have to deal with the hassle of gas or oil. You will also be able to save money on your energy bills.

https://outdoorgearreviews.org/best-electric-riding-lawn-mower/
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Garuleonx
Garuleonx
Aug 12, 2018
#Kaguya-Wants-to-be-Confessed-To:-The-Geniuses-War-of-Love-and-Brainsestoy feliz porque habrá animu pero sad porque el presi se va a ir :''v
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🍓 AniPop !
🍓 AniPop !
Jun 04, 2021
Kanojo mo Kanojo !
( Girlfriend, girlfriend ! )

Girlfriend, Girlfriend (Japanese: カノジョも彼女, Hepburn: Kanojo mo Kanojo, "She is the Girlfriend too") is a Japanese romantic comedy manga series written and illustrated by Hiroyuki. It began serialization in Kodansha's Weekly Shōnen Magazine in March 2020, and has been compiled into five tankōbon volumes as of April 2021. An anime television series adaptation by Tezuka Productions will premiere in July 2021 on the Animeism programming block.

Genre; Romance/Comedy

Manga;

Written by; Hiroyuki

Published by; Kodansha
English publisher; NA Kodansha USA (digital)

Magazine;Weekly Shōnen Magazine
Demographic; Shōnen

Original run; March 4, 2020 – present
Volumes; 6 (List of volumes)


Anime television series

Directed by; Satoshi Kuwabara
Written by; Keiichirō Ōchi
Music by; Miki Sakurai Tatsuhiko Saiki

Studio; Tezuka Productions

Original network; JNN (MBS, TBS, BS-TBS), AT-X
Original run; July 3, 2021 – scheduled


Naoya Mukai (向井 直也, Mukai Naoya)
Voiced by: Junya Enoki[2] (anime)

Saki's childhood friend. He confessed to her every month until she accepted, but also agrees to take Nagisa as a girlfriend as well as he found her to be cute.

Saki Saki (佐木 咲, Saki Saki)
Voiced by: Ayana Taketatsu[3] (PV), Ayane Sakura[2] (anime)

Naoya's childhood friend and his initial girlfriend. She shares a first and last name as her parents thought such a name would be cute. She has a complex about her small chest, especially when compared to Nagisa.Nagisa Minase

 (水瀬 渚, Minase Nagisa)
Voiced by: Ayane Sakura[3] (PV), Azumi Waki[2] (anime)

A classmate of Naoya, who becomes his second girlfriend after confessing to him. She fell in love with Naoya as he inspired her to pursue skills that she was good at.

Rika Hoshizaki (星崎 理香, Hoshizaki Rika)

Voiced by: Ayana Taketatsu[2] (anime)

A schoolmate of Naoya. She is secretly a popular vlogger who goes by the online alias Mirika (ミリカ). She intends to become Naoya's third girlfriend, going as far as stalking him and his girlfriends, as well as camping outside his house to get his attention.

Shino Kiryū (桐生 紫乃, Kiryū Shino)

Voiced by: Rie Takahashi[2] (anime)

Saki's best friend and classmate. She discovers Naoya's romantic arrangement with Saki and Nagisa and she disapproves of it. It is later discovered that she has feelings for Naoya as well.
Risa Hoshizaki (星崎 理沙, Hoshizaki Risa)Rika's younger sister.


( MBS listed the series premiere at 26:25 on July 2, 2021, which is July 3 at 2:25 a.m. )
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