15,563
4.2
6 votos
|
|||||||||
Em formação
Autor (es):
Endless Sea Of Clouds
A língua
Português
Liberado:
2011
Géneros:
AçãO
, Artes Marciais
, Aventura
, ComéDia
, Fantasia
Postar
Enviar postagem
 |
litr la
Mar 11, 2021
|
i Just Loved these novels the solo leveling light novel and beginning after the end
https://lightnovelshub.com/novel/solo-levelling-novel/
https://lightnovelshub.com/novel/the-beginning-after-the-end/
https://lightnovelshub.com/novel/solo-levelling-novel/
https://lightnovelshub.com/novel/the-beginning-after-the-end/
|
|
yijic73529
Dec 27, 2022
|
How to Access the Login page of re.rockspace.local extender?
Re.rockspace.local is not like the old routers. They basically helos in taking out the dead spots in our work environment. Can without a much of stretch can connect the extender with the current network. It has the best class show structure. It comprises of numerous highlights that makes this extender novel.
Visit us: https://rerockspace-local.net/
Re.rockspace.local is not like the old routers. They basically helos in taking out the dead spots in our work environment. Can without a much of stretch can connect the extender with the current network. It has the best class show structure. It comprises of numerous highlights that makes this extender novel.
Visit us: https://rerockspace-local.net/
 |
Elise Elleneth
Dec 21, 2018
|
Updated my ONESHOT novel... Enjoy!
https://www.niadd.com/chapter/The_First_Knight_and_the_Heaven_Sword_Part_2_/100028191/
https://www.niadd.com/chapter/The_First_Knight_and_the_Heaven_Sword_Part_2_/100028191/
|
|
Elise Elleneth
Dec 31, 2018
|
Happy New Year everyone!! It is January 1st, 2019 in this side of the world! Couples of minutes then 2 in the morning! Enjoy the day! 😘
New year, more stories!
New year, more stories!
 |
abinadi481
May 04, 2019
|
Dear administrators I want to inform you that the application restarts every time I try to tag another user I want to know if it is just my case or is in general for this current version
|
|
Elise Elleneth
Jan 02, 2019
|
Oops, I forgot to put the title in the last Bonus I inserted in the oneshot story. The title is, "The KING'S MISTRESS". A story about Xhamara who was forced to become a King's Mistress. It has a lot of twists on this novel so it's not good to have only a ONESHOT. Just a special chapter i will presented soon. Hope you'll like it! Thanks!
 |
Long Xueye
Nov 05, 2020
|
A Simple Man In Another World Es una novela casual escrita por una "chico" de -quien-sabe-que-edad-. Llevo siguiendo esta novela por bastante tiempo (casi un año), pero ahora que me la he puesto a leer siento ese extraño sentimiento de culpa por no empezar a leer antes. Para mis estandares es muy buena, más sabiendo que esta escrita por un capricho que por otra cosa. Su mundo a penas esta empezando a florecer, pero ya tengo bastante expectativas en él; Sus personajes no tienen una personalidad estable y cada vez que pasa un capitulo estos se vuelven más y más salvajes (principalmente el mc) segun el autor esto esta hecho a posta. Aunque es un Isekai me logro transmitir lo que una novela de Wuxia como "Invencible" (obviamente no quiere decir que estan al mismo nivel) esto se nota más en sus momentos importantes donde se nota la pasion de la escritura y los pequeños detalles detras de la misma. En fin, estoy esperando más de esta novela y espero que la sigan escribiendo para ver si mis expectativas estuvieron bien dadas.
|
|
nandi111
Dec 09, 2021
|
Elon Musk Hair Transplant, Today there is practically nobody who has not known about Elon Musk and the PayPal, Space X and TESLA marks that were made without anyone else. The virtuoso and devilish Elon Musk, whose subsequent stage is anxiously being trailed by the entire world, can be viewed as one of the 10 most significant people of the century. All that the present superhuman is keen on, with his silly, basic posts via web-based media and lovely lady friends, just as the developments he brought to the universe of science and business, transform into gold.
But is it genuine that our legend has had a hair relocate? We audit it with photographs for you.
The Story of Elon Musk and His Hair
When we take a gander at the adolescence and youth photographs of Elon Musk, whose facial elements and appeal are practically as old as, we can perceive how the thick hair suits his face. Anyway toward the finish of puberty, the diminishing of the hair that falls on the brow can be handily seen, regardless of whether there was no shedding.
Our youthful virtuoso, who began to lose hair toward the start of his twenties and afterwards diminished and lost in the bleeding edge of his hair, gives genuine going bald at 29 years old. (The year 2000)
Why did Elon Musk lose his hair?
The male body starts to create testosterone while still in the belly, and this creation proceeds until the finish of life. During immaturity, the testosterone chemical is changed over into a chemical called dihydrotestosterone (DHT) by a compound called 5-alpha-reductase. While DHT builds the hair development of the body, it is answerable for the shedding of the hair in the bushy region. This kind of balding is called Male Pattern Hair Loss and Androgenetic Alopecia (AGA). Since there is no DHT receptor in the hair situated in a specific region at the back, the hair here doesn't drop out. Hence, the hair in this space is utilized as a benefactor in hair transplantation.
Even if you are a super tech virtuoso, you can oppose partially against the hereditary qualities. So what did the fruitful business person who lost his hairdo do? Did he foster a remedy for hair sparseness and hush up about it? In all honesty, we don't think the appropriate response is yes. We are certain that Elon Musk, who is likewise a promoting master, would tell the entire world with regards to a technique to regrow non-existent hair. However, he didn't surrender he pick hair transplantation, which is the best strategy to bring back hair today.
Elon Musk and Hair Transplant
Our money manager, who was 32 years of age in 2003, had his first hair relocated. Before Elon's first hair relocation, there was Norwood 4-Norwood 5 degree going bald. It is objective to prescribe a two-phase activity to patients with this level of balding. At the point when the picture that seen after this activity is analyzed, we can see that the relocated hair number was not exceptionally high and the thickness was kept low. The skin can be effortlessly recognized among the hair in the bleeding edge that makes up the hairline, and the slim hair structure sticks out. At the point when the Smile Hair Clinic specialists analyzed these photos, they inferred that around 30 unions were relocated per cm2. Hair transplantation at this thickness might be planned to ensure the benefactor region. Be that as it may, this technique can be picked by the hair relocate specialist in tasks where there isn't sufficient giver region. Sadly, we don't know whether the specialist proposed this force or Elon himself mentioned it. All things considered, we can acknowledge that he change once more into his bygone times even with this low thickness result.
When we analyze the photographs of the renowned CEO, who turned 40 in every 2012, we can see that he isn't just keen on science, yet additionally centres around his public activity, as well. The bleeding edge of her hair has descended, the sides of the already vacant cutting edge are filled. At the point when we analyze the hair on the sides and front of Elon Musk, who has a tight hairline now, we can undoubtedly see that the volume of his recently relocated hair, which can't be harmed by testosterone, is a lot higher. Analyzing the photographs, Smile Hair Clinic specialists gauge that 50-55 unions for every cm2 were relocated this time. Inspecting the photographs, Smile Hair Clinic specialists gauge that 50-55 unions for every cm2 were put this time. Even though we imagine that the hairline has gotten a little tighter throughout the long term, our hair relocates specialists, who audit the photographs, are not altogether certain with regards to the third or fourth transfer. However, they don't see a huge diminishing in the thickness of the giver site.
एलोन मस्क हेयर ट्रांसप्लांट, आज व्यावहारिक रूप से कोई भी नहीं है जो एलोन मस्क और पेपाल, स्पेस एक्स और टेस्ला के निशान के बारे में नहीं जानता है जो किसी और के बिना बनाए गए थे । गुणी और शैतानी एलोन मस्क, जिनके बाद के चरण उत्सुकता से पूरी दुनिया से में देखा जा सकता है । वह सब जो वर्तमान अलौकिक वेब-आधारित मीडिया और प्यारी महिला मित्रों के माध्यम से अपने मूर्खतापूर्ण, बुनियादी पदों के साथ उत्सुक है, जैसे कि वह विज्ञान और व्यवसाय के ब्रह्मांड में लाए गए घटनाक्रम, सोने में बदल जाते हैं ।
लेकिन क्या यह वास्तविक है कि हमारी किंवदंती के बाल स्थानांतरित हो गए हैं? हम आपके लिए तस्वीरों के साथ इसका ऑडिट करते हैं ।
एलोन मस्क और उनके बालों की कहानी
जब हम एलोन मस्क की किशोरावस्था और युवा तस्वीरों में एक गैंडर लेते हैं, जिनके चेहरे के तत्व और अपील व्यावहारिक रूप से पुराने हैं, तो हम अनुभव कर सकते हैं कि घने बाल उसके चेहरे पर कैसे सूट करते हैं । वैसे भी यौवन के खत्म होने की ओर, भौंह पर गिरने वाले बालों का कम होना आसानी से देखा जा सकता है, भले ही कोई बहा न हो ।
हमारे युवा कलाप्रवीण व्यक्ति, जो अपने बिसवां दशा की शुरुआत की ओर बाल खोना शुरू कर दिया और बाद में कम हो गया और अपने बालों के खून बह रहा किनारे में खो गया, 29 साल की उम्र में वास्तविक गंजा हो गया । (वर्ष 2000)
एलोन मस्क ने अपने बाल क्यों खो दिए?
पुरुष शरीर पेट में रहते हुए भी टेस्टोस्टेरोन बनाना शुरू कर देता है, और यह निर्माण जीवन के अंत तक आगे बढ़ता है । अपरिपक्वता के दौरान, टेस्टोस्टेरोन रसायन को 5-अल्फा-रिडक्टेस नामक यौगिक द्वारा डायहाइड्रोटेस्टोस्टेरोन (डीएचटी) नामक रसायन में बदल दिया जाता है । जबकि डीएचटी शरीर के बालों के विकास का निर्माण करता है, यह जंगली क्षेत्र में बालों के बहा देने के लिए जवाबदेह है । बिना बाल के इस तरह पुरुष पैटर्न बालों के झड़ने और एंड्रोजेनिक खालित्य (आगा) कहा जाता है । चूंकि पीठ पर एक विशिष्ट क्षेत्र में स्थित बालों में कोई डीएचटी रिसेप्टर नहीं है, इसलिए यहां के बाल बाहर नहीं निकलते हैं । इसलिए, इस जगह में बाल बाल प्रत्यारोपण में एक दाता के रूप में उपयोग किया जाता है ।
But is it genuine that our legend has had a hair relocate? We audit it with photographs for you.
The Story of Elon Musk and His Hair
When we take a gander at the adolescence and youth photographs of Elon Musk, whose facial elements and appeal are practically as old as, we can perceive how the thick hair suits his face. Anyway toward the finish of puberty, the diminishing of the hair that falls on the brow can be handily seen, regardless of whether there was no shedding.
Our youthful virtuoso, who began to lose hair toward the start of his twenties and afterwards diminished and lost in the bleeding edge of his hair, gives genuine going bald at 29 years old. (The year 2000)
Why did Elon Musk lose his hair?
The male body starts to create testosterone while still in the belly, and this creation proceeds until the finish of life. During immaturity, the testosterone chemical is changed over into a chemical called dihydrotestosterone (DHT) by a compound called 5-alpha-reductase. While DHT builds the hair development of the body, it is answerable for the shedding of the hair in the bushy region. This kind of balding is called Male Pattern Hair Loss and Androgenetic Alopecia (AGA). Since there is no DHT receptor in the hair situated in a specific region at the back, the hair here doesn't drop out. Hence, the hair in this space is utilized as a benefactor in hair transplantation.
Even if you are a super tech virtuoso, you can oppose partially against the hereditary qualities. So what did the fruitful business person who lost his hairdo do? Did he foster a remedy for hair sparseness and hush up about it? In all honesty, we don't think the appropriate response is yes. We are certain that Elon Musk, who is likewise a promoting master, would tell the entire world with regards to a technique to regrow non-existent hair. However, he didn't surrender he pick hair transplantation, which is the best strategy to bring back hair today.
Elon Musk and Hair Transplant
Our money manager, who was 32 years of age in 2003, had his first hair relocated. Before Elon's first hair relocation, there was Norwood 4-Norwood 5 degree going bald. It is objective to prescribe a two-phase activity to patients with this level of balding. At the point when the picture that seen after this activity is analyzed, we can see that the relocated hair number was not exceptionally high and the thickness was kept low. The skin can be effortlessly recognized among the hair in the bleeding edge that makes up the hairline, and the slim hair structure sticks out. At the point when the Smile Hair Clinic specialists analyzed these photos, they inferred that around 30 unions were relocated per cm2. Hair transplantation at this thickness might be planned to ensure the benefactor region. Be that as it may, this technique can be picked by the hair relocate specialist in tasks where there isn't sufficient giver region. Sadly, we don't know whether the specialist proposed this force or Elon himself mentioned it. All things considered, we can acknowledge that he change once more into his bygone times even with this low thickness result.
When we analyze the photographs of the renowned CEO, who turned 40 in every 2012, we can see that he isn't just keen on science, yet additionally centres around his public activity, as well. The bleeding edge of her hair has descended, the sides of the already vacant cutting edge are filled. At the point when we analyze the hair on the sides and front of Elon Musk, who has a tight hairline now, we can undoubtedly see that the volume of his recently relocated hair, which can't be harmed by testosterone, is a lot higher. Analyzing the photographs, Smile Hair Clinic specialists gauge that 50-55 unions for every cm2 were relocated this time. Inspecting the photographs, Smile Hair Clinic specialists gauge that 50-55 unions for every cm2 were put this time. Even though we imagine that the hairline has gotten a little tighter throughout the long term, our hair relocates specialists, who audit the photographs, are not altogether certain with regards to the third or fourth transfer. However, they don't see a huge diminishing in the thickness of the giver site.
एलोन मस्क हेयर ट्रांसप्लांट, आज व्यावहारिक रूप से कोई भी नहीं है जो एलोन मस्क और पेपाल, स्पेस एक्स और टेस्ला के निशान के बारे में नहीं जानता है जो किसी और के बिना बनाए गए थे । गुणी और शैतानी एलोन मस्क, जिनके बाद के चरण उत्सुकता से पूरी दुनिया से में देखा जा सकता है । वह सब जो वर्तमान अलौकिक वेब-आधारित मीडिया और प्यारी महिला मित्रों के माध्यम से अपने मूर्खतापूर्ण, बुनियादी पदों के साथ उत्सुक है, जैसे कि वह विज्ञान और व्यवसाय के ब्रह्मांड में लाए गए घटनाक्रम, सोने में बदल जाते हैं ।
लेकिन क्या यह वास्तविक है कि हमारी किंवदंती के बाल स्थानांतरित हो गए हैं? हम आपके लिए तस्वीरों के साथ इसका ऑडिट करते हैं ।
एलोन मस्क और उनके बालों की कहानी
जब हम एलोन मस्क की किशोरावस्था और युवा तस्वीरों में एक गैंडर लेते हैं, जिनके चेहरे के तत्व और अपील व्यावहारिक रूप से पुराने हैं, तो हम अनुभव कर सकते हैं कि घने बाल उसके चेहरे पर कैसे सूट करते हैं । वैसे भी यौवन के खत्म होने की ओर, भौंह पर गिरने वाले बालों का कम होना आसानी से देखा जा सकता है, भले ही कोई बहा न हो ।
हमारे युवा कलाप्रवीण व्यक्ति, जो अपने बिसवां दशा की शुरुआत की ओर बाल खोना शुरू कर दिया और बाद में कम हो गया और अपने बालों के खून बह रहा किनारे में खो गया, 29 साल की उम्र में वास्तविक गंजा हो गया । (वर्ष 2000)
एलोन मस्क ने अपने बाल क्यों खो दिए?
पुरुष शरीर पेट में रहते हुए भी टेस्टोस्टेरोन बनाना शुरू कर देता है, और यह निर्माण जीवन के अंत तक आगे बढ़ता है । अपरिपक्वता के दौरान, टेस्टोस्टेरोन रसायन को 5-अल्फा-रिडक्टेस नामक यौगिक द्वारा डायहाइड्रोटेस्टोस्टेरोन (डीएचटी) नामक रसायन में बदल दिया जाता है । जबकि डीएचटी शरीर के बालों के विकास का निर्माण करता है, यह जंगली क्षेत्र में बालों के बहा देने के लिए जवाबदेह है । बिना बाल के इस तरह पुरुष पैटर्न बालों के झड़ने और एंड्रोजेनिक खालित्य (आगा) कहा जाता है । चूंकि पीठ पर एक विशिष्ट क्षेत्र में स्थित बालों में कोई डीएचटी रिसेप्टर नहीं है, इसलिए यहां के बाल बाहर नहीं निकलते हैं । इसलिए, इस जगह में बाल बाल प्रत्यारोपण में एक दाता के रूप में उपयोग किया जाता है ।
|
|
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.
Join Us:
Data science course in Bangalore
Data science course in Hyderabad
Data analytics course in Hyderabad
Full stack developer course in Mumbai
Full stack developer course in Hyderabad
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.
Join Us:
Data science course in Bangalore
Data science course in Hyderabad
Data analytics course in Hyderabad
Full stack developer course in Mumbai
Full stack developer course in Hyderabad
|
|
Elise Elleneth
Jan 02, 2019
|
Hello folks! Good evening, good morning or good night! Hope everyone has a good new year celebration! Finally done uploading this chapter! Took me hours sort them out according to their numbers because am having problems in my internet connection.
As Promised, the last part of the oneshot (novel) The First Knight and Heaven Sword... Also, i included 3 BONUSES from other stories! Hope you'll like it!
https://www.niadd.com/chapter/The_First_Knight_and_the_Heaven_Sword_Part_4_and_BONUSES_/100029812/
As Promised, the last part of the oneshot (novel) The First Knight and Heaven Sword... Also, i included 3 BONUSES from other stories! Hope you'll like it!
https://www.niadd.com/chapter/The_First_Knight_and_the_Heaven_Sword_Part_4_and_BONUSES_/100029812/
|
Relatório
Você tem algum problema ou sugestão, não hesite em nos contatar.
|
|
Transmite
Enviar
@
Emoji
😀
😁
😂
😄
😆
😉
😊
😋
😎
😍
😘
🙂
😐
😏
😣
😯
😪
😫
😌
😜
😒
😔
😖
😤
😭
😱
😳
😵
😠
🤔
🤐
😴
😔
🤑
🤗
👻
💩
🙈
🙉
🙊
💪
👈
👉
👆
👇
🖐
👌
👏
🙏
🤝
👂
👃
👀
👅
👄
💋
💘
💖
💗
💔
❤
💤
💢
Clubes
Carregar página anterior
Carregar próxima página
Amigos
Carregar página anterior
Carregar próxima página
|
|
Cenário
Youtube
Vídeo
Enviar
|
|
Cenário
Youtube
Vídeo
Enviar
*O formato da url não é válido, verifique e tente novamente por favor
Emoji
😀
😁
😂
😄
😆
😉
😊
😋
😎
😍
😘
🙂
😐
😏
😣
😯
😪
😫
😌
😜
😒
😔
😖
😤
😭
😱
😳
😵
😠
🤔
🤐
😴
😔
🤑
🤗
👻
💩
🙈
🙉
🙊
💪
👈
👉
👆
👇
🖐
👌
👏
🙏
🤝
👂
👃
👀
👅
👄
💋
💘
💖
💗
💔
❤
💤
💢
Tag
Carregar página anterior
Carregar próxima página
Clubes
Carregar página anterior
Carregar próxima página
Amigos
Carregar página anterior
Carregar próxima página
|
|
Cenário
Youtube
Vídeo
Enviar
Envio vídeo
Comece a fazer o upload
*O tipo de vídeo deve ser MP4
Emoji
😀
😁
😂
😄
😆
😉
😊
😋
😎
😍
😘
🙂
😐
😏
😣
😯
😪
😫
😌
😜
😒
😔
😖
😤
😭
😱
😳
😵
😠
🤔
🤐
😴
😔
🤑
🤗
👻
💩
🙈
🙉
🙊
💪
👈
👉
👆
👇
🖐
👌
👏
🙏
🤝
👂
👃
👀
👅
👄
💋
💘
💖
💗
💔
❤
💤
💢
Tag
Carregar página anterior
Carregar próxima página
|
|
