Delta or Delta State is an oil and agricultural producing state of Nigeria, situated in the region known as the South-South geo-political zone with a population of 4,098,291 (males: 2,674,306; females: 2,024,085).Ngozi Okonjo-Iweala, the former Federal Minister of Finance and Coordinating of Economy and former World Bank Managing Director, is from the state. The capital city is Asaba, located at the northern end of the state, with an estimated area of 762 square kilometres (294sqmi), while Warri is the economic nerve center of the state and also the most populated located in the southern end of the state. The state has a total land area of 16,842 square kilometres (6,503sqmi).
Geography
The state covers a landmass of about 18,050km², of which more than 60% is land. The state lies approximately between Longitude 5°00 and 6°.45' East and Latitude 5°00 and 6°.30' North. It is bounded in the north and west by Edo State, the east by Anambra, Imo, and Rivers States, southeast by Bayelsa State, and on the southern flank is the Bight of Benin which covers about 160 kilometres of the state's coastline. Delta State is generally low-lying without remarkable hills. The state has a wide coastal belt inter-lace with rivulets and streams, which form part of the Niger Delta.
Delta State is a Canadiananimated television series, based on a comic book by Douglas Gayeton (which was never released), featuring four amnesiac roommates with the ability to enter an ethereal realm known as the Delta State. They face the dual tasks of piecing together their past lives and battling a group of Delta State denizens called Rifters, who seek to control the human mind. The main characters are Claire (Ilona Elkin), Martin (Dusan Dukic), Luna (Lizz Alexander), and Philip (Nicholas Wright).
The series debuted September 11, 2004 on Teletoon, the Canadian cartoon television network. It is the first animated television series to be entirely rotoscoped, taking over 27 months to complete.
Delta State is a French / Canadian co-production with designs, story boards etc., done by Alphanim in Paris. Shooting and recording were performed by Nelvana Canada. The project was conceived by Douglas Gayeton, who also directed the original pilot and wrote the bible for the show.
Delta State University, also known as DSU, is a regional publicuniversity located in Cleveland, Mississippi, United States, in the heart of the Mississippi Delta. DSU is one of eight publicly funded universities in the state.
History
The school was established in 1924 as a public institution by the State of Mississippi, using the facilities of the former Bolivar County Agricultural High School, which consisted of three buildings in Cleveland. On February 19, 1924, Senators William B. Roberts and Arthur Marshall cosponsored Senate Bill No. 236, which established Delta State Teachers College, which Mississippi Governor Henry L. Whitfield signed on April 9, 1924; the bill had been sponsored in the Mississippi House of Representatives by Nellie Nugent Somerville, first woman to serve in the state legislature. The three buildings were Hill Hall, an administration and classroom building, Hardee Hall, a men's dormitory, and Taylor Hall, a women's dormitory. On February 14, 1924, James Wesley Broom was appointed president of the college and the college opened its doors on September 15, 1925. In May 1926, Broom died following complications from an ear infection, and William Zeigel was named his successor. The seal of the college was designed in 1928 as a project of an art class.
A state university system in the United States is a group of public universities supported by an individual state, or a similar entity such as the District of Columbia. These systems constitute the majority of public-funded universities in the country. Each state supports at least one such system.
State university systems should not be confused with federally funded colleges and universities, at which attendance is limited to military personnel and government employees. Members of foreign militaries and governments also attend some schools. These schools include the United States military academies, Naval Postgraduate School, and military staff colleges.
A state university system normally means a single legal entity and administration, but may consist of several institutions, each with its own identity as a university. Some states—such as California and Texas—support more than one such system.
State universities get subsidies from their states. The amount of the subsidy varies from university to university and state to state, but the effect is to lower tuition costs below that of private universities for students from that state or district. As more and more Americans attend college, and private tuition rates increase well beyond the rate of inflation, admission to state universities is becoming more and more competitive.
State Universities and Colleges (SUC) in the Philippines refers to any public institution of higher learning that was created by an Act passed by the Philippine Congress. These institutions are fully subsidized by the National Government, and may be considered as a corporate body.
Among the State Colleges and Universities in the country, the University of the Philippines has always been recognized as the nation's premier university and has likewise been strengthened by law (Republic Act 9500) as the "National University" of the Philippines.
Endowment
SUCs lamented the Philippine government's inadequate financial aid. For the 2003-2004, SUCs only had PHP 16.8 billion, and about 40 percent of it went to the University of the Philippines and the Mindanao State University. However, in 2008, the Philippine Congress allotted PHP 20.8 billion in subsidy for the operations of state universities and colleges.
Collectively, SUCs have a student population of approximately 865,000, which means that every student is subsidized by an average of PHP 24,000 per school year. Each Filipino family contributes PHP 1,185 a year to run these schools through their tax payments. Of the total amount, PHP 15.4 billion
for the salaries of faculty members and employees.
Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-pooling Strategy and Wi...
Title: Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-pooling Strategy and Window-based Attention - (longer introduction)
Authors: Junjie Li (Ping An Technology, China), Zhiyu Zhang (National Tsing Hua University, Taiwan), Minchuan Chen (Ping An Technology, China), Jun Ma (Ping An Technology, China), Shaojun Wang (Ping An Technology, China), Jing Xiao (Ping An Technology, China)
Category: Speech Synthesis: Linguistic processing, paradigms and other topics
Abstract: In this paper, we propose a novel system based on word-level features and window-based attention for polyphone disambiguation, which is a fundamental task for Grapheme-to-phoneme (G2P) conversion of Mandarin Chinese. The framework aims to combine a pre-trained language model with explicit word-level ...
published: 03 Feb 2022
Deduplication and Author Disambiguation of Streaming Records via Supervised Models -Reza Karimi
"Here we present a general supervised framework for record deduplication and author-disambiguation via Spark. This work differentiates itself by - Application of Databricks and AWS makes this a scalable implementation. Compute resources are comparably lower than traditional legacy technology using big boxes 24/7. Scalability is crucial as Elsevier's Scopus data, the biggest scientific abstract repository, covers roughly 250 million authorships from 70 million abstracts covering a few hundred years. - We create a fingerprint for each content by deep learning and/or word2vec algorithms to expedite pairwise similarity calculation. These encoders substantially reduce compute time while maintaining semantic similarity (unlike traditional TFIDF or predefined taxonomies). We will briefly discuss ...
published: 30 Oct 2017
TAMING THE MEDICAL RECORD DRAGON - Bill Inmon – the “father of data warehouse”
Conference Website: http://saiconference.com/FICC
Abstract: Medical records are made for the most part in the form of text. And this presents an obstacle to the organization needing to do medical research. But now it is easy, simple and inexpensive to take the text found in those medical records and turn them into a data base. Once the data base is created, it is then easy to do analysis against them. Come hear more.
About the Speaker: Bill Inmon – the “father of data warehouse” – has written 62 books published in nine languages. He received his Bachelor of Science degree in mathematics from Yale University in 1967, and his Master of Science degree in computer science from New Mexico State University. Bill owns and operates Forest Rim Technology, a company that applies and implements dat...
published: 04 Mar 2022
Impulses and the Dirac delta function
published: 18 Nov 2020
3280 feet deep groundwater is contaminated in China/water and cross-contamination is out of control
On November 22nd, 2021, the Chinese government issued the first groundwater regulation known as, Regulations on Groundwater Management, effective December 1st, 2021.
This news has aroused the attention of the public. When the Chinese government starts to address a problem, it’s usually a very serious one.
Have questions? Do you have something to share with us about China? We want to hear from you!
Email: [email protected]
Facebook www.facebook.com/EyesOnChina.
Copyright @ China Insights 2021. Any illegal reproduction of this content in any form will result in immediate action against the person(s) concerned. Your support allows us to produce more high-quality videos.
Consider donating at https://www.paypal.com/paypalme/ChinaInsights
published: 27 Nov 2021
Finite State Automata
Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/
Slides: http://www.natalieparde.com/teaching/cs_421_fall2020/Finite%20State%20Automata.pdf
Twitter: @NatalieParde
published: 05 Sep 2020
River
River River
Natural flowing watercourse
For other uses, see River (disambiguation).
"Rivers" redirects here. For other uses, see Rivers (disambiguation).
"Riverine" redirects here. For riverine warfare, see Brown-water navy.
A river is a natural flowing watercourse, usually freshwater stream, flowing on the surface or inside caves towards another waterbody at a lower elevation, such as an ocean, sea, bay, lake, wetland, or another river. In some cases, a river flows into the ground or becomes dry at the end of its course without reaching another body of water. Small rivers can be referred to using names such as creek, brook, and rivulet. There are no official definitions for the generic term river as applied to geographic features, although in some countries or communities, a stream is de...
published: 18 Jan 2023
Part 7: end to end neural entity linking
published: 07 Nov 2023
What Went Wrong With HS2?
In 2020, the UK Prime minister, Boris Johnson approved a controversial and massive transport infrastructure project for the country, called HS2. In 2024, after over 15 years of planning. With estimated costs ballooning almost four times to a staggering £106 Billion pounds, and several massive changes to the blueprint, HS2 is still yet to be delivered.
The project was meant to connect the disproportionately populated London with the rest of the UK, including cities like Birmingham, Manchester, and Leeds, with the eventual goal of stretching all the way to Scotland. But the project was mired with problems from the start.
The huge environmental costs and damage to England's iconic landscapes and wildlife had protests rising up all over the country. Legal battles ensued, adding years and ten...
published: 28 Aug 2024
The best scene of all time? Mad Men - Lost Horizons
"Don sits in a meeting, listening to the description of a Miller beer drinker, described as a man from Wisconsin. It's the meeting he's wanted his whole career, a chance to really impress a big client.
But his heart isn't in it. It's obvious from Jon Hamm's face. And then he looks out the window." http://www.vox.com/2015/5/4/8542087/mad-men-recap-lost-horizon-review
Title: Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-pooling Strategy and Window-based Attention - (longer introduction)
Authors: Ju...
Title: Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-pooling Strategy and Window-based Attention - (longer introduction)
Authors: Junjie Li (Ping An Technology, China), Zhiyu Zhang (National Tsing Hua University, Taiwan), Minchuan Chen (Ping An Technology, China), Jun Ma (Ping An Technology, China), Shaojun Wang (Ping An Technology, China), Jing Xiao (Ping An Technology, China)
Category: Speech Synthesis: Linguistic processing, paradigms and other topics
Abstract: In this paper, we propose a novel system based on word-level features and window-based attention for polyphone disambiguation, which is a fundamental task for Grapheme-to-phoneme (G2P) conversion of Mandarin Chinese. The framework aims to combine a pre-trained language model with explicit word-level information in order to get meaningful context extraction. Particularly, we employ a pre-trained bidirectional encoder from Transformers (BERT) model to extract character-level features, and an external Chinese word segmentation (CWS) tool is used to obtain the word units. We adopt a mixed pooling mechanism to convert character-level features into word-level features based on the segmentation results. A window-based attention module is utilized to incorporate contextual word-level features for the polyphonic characters. Experimental results show that our method achieves an accuracy of 99.06% on an open benchmark dataset for Mandarin Chinese polyphone disambiguation, which outperforms the baseline systems.
For more details and PDF version of the paper visit: https://www.isca-speech.org/archive/interspeech_2021/li21n_interspeech.html
d04s07t04lng
Title: Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-pooling Strategy and Window-based Attention - (longer introduction)
Authors: Junjie Li (Ping An Technology, China), Zhiyu Zhang (National Tsing Hua University, Taiwan), Minchuan Chen (Ping An Technology, China), Jun Ma (Ping An Technology, China), Shaojun Wang (Ping An Technology, China), Jing Xiao (Ping An Technology, China)
Category: Speech Synthesis: Linguistic processing, paradigms and other topics
Abstract: In this paper, we propose a novel system based on word-level features and window-based attention for polyphone disambiguation, which is a fundamental task for Grapheme-to-phoneme (G2P) conversion of Mandarin Chinese. The framework aims to combine a pre-trained language model with explicit word-level information in order to get meaningful context extraction. Particularly, we employ a pre-trained bidirectional encoder from Transformers (BERT) model to extract character-level features, and an external Chinese word segmentation (CWS) tool is used to obtain the word units. We adopt a mixed pooling mechanism to convert character-level features into word-level features based on the segmentation results. A window-based attention module is utilized to incorporate contextual word-level features for the polyphonic characters. Experimental results show that our method achieves an accuracy of 99.06% on an open benchmark dataset for Mandarin Chinese polyphone disambiguation, which outperforms the baseline systems.
For more details and PDF version of the paper visit: https://www.isca-speech.org/archive/interspeech_2021/li21n_interspeech.html
d04s07t04lng
"Here we present a general supervised framework for record deduplication and author-disambiguation via Spark. This work differentiates itself by - Application o...
"Here we present a general supervised framework for record deduplication and author-disambiguation via Spark. This work differentiates itself by - Application of Databricks and AWS makes this a scalable implementation. Compute resources are comparably lower than traditional legacy technology using big boxes 24/7. Scalability is crucial as Elsevier's Scopus data, the biggest scientific abstract repository, covers roughly 250 million authorships from 70 million abstracts covering a few hundred years. - We create a fingerprint for each content by deep learning and/or word2vec algorithms to expedite pairwise similarity calculation. These encoders substantially reduce compute time while maintaining semantic similarity (unlike traditional TFIDF or predefined taxonomies). We will briefly discuss how to optimize word2vec training with high parallelization. Moreover, we show how these encoders can be used to derive a standard representation for all our entities namely such as documents, authors, users, journals, etc. This standard representation can simplify the recommendation problem into a pairwise similarity search and hence it can offer a basic recommender for cross-product applications where we may not have a dedicate recommender engine designed. - Traditional author-disambiguation or record deduplication algorithms are batch-processing with small to no training data. However, we have roughly 25 million authorships that are manually curated or corrected upon user feedback. Hence, it is crucial to maintain historical profiles and hence we have developed a machine learning implementation to deal with data streams and process them in mini batches or one document at a time. We will discuss how to measure the accuracy of such a system, how to tune it and how to process the raw data of pairwise similarity function into final clusters. Lessons learned from this talk can help all sort of companies where they want to integrate their data or deduplicate their user/customer/product databases.
Session hashtag: #EUai2"
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Read more here: https://databricks.com/product/unified-data-analytics-platform
Connect with us:
Website: https://databricks.com
Facebook: https://www.facebook.com/databricksinc
Twitter: https://twitter.com/databricks
LinkedIn: https://www.linkedin.com/company/databricks
Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
"Here we present a general supervised framework for record deduplication and author-disambiguation via Spark. This work differentiates itself by - Application of Databricks and AWS makes this a scalable implementation. Compute resources are comparably lower than traditional legacy technology using big boxes 24/7. Scalability is crucial as Elsevier's Scopus data, the biggest scientific abstract repository, covers roughly 250 million authorships from 70 million abstracts covering a few hundred years. - We create a fingerprint for each content by deep learning and/or word2vec algorithms to expedite pairwise similarity calculation. These encoders substantially reduce compute time while maintaining semantic similarity (unlike traditional TFIDF or predefined taxonomies). We will briefly discuss how to optimize word2vec training with high parallelization. Moreover, we show how these encoders can be used to derive a standard representation for all our entities namely such as documents, authors, users, journals, etc. This standard representation can simplify the recommendation problem into a pairwise similarity search and hence it can offer a basic recommender for cross-product applications where we may not have a dedicate recommender engine designed. - Traditional author-disambiguation or record deduplication algorithms are batch-processing with small to no training data. However, we have roughly 25 million authorships that are manually curated or corrected upon user feedback. Hence, it is crucial to maintain historical profiles and hence we have developed a machine learning implementation to deal with data streams and process them in mini batches or one document at a time. We will discuss how to measure the accuracy of such a system, how to tune it and how to process the raw data of pairwise similarity function into final clusters. Lessons learned from this talk can help all sort of companies where they want to integrate their data or deduplicate their user/customer/product databases.
Session hashtag: #EUai2"
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Read more here: https://databricks.com/product/unified-data-analytics-platform
Connect with us:
Website: https://databricks.com
Facebook: https://www.facebook.com/databricksinc
Twitter: https://twitter.com/databricks
LinkedIn: https://www.linkedin.com/company/databricks
Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
Conference Website: http://saiconference.com/FICC
Abstract: Medical records are made for the most part in the form of text. And this presents an obstacle to th...
Conference Website: http://saiconference.com/FICC
Abstract: Medical records are made for the most part in the form of text. And this presents an obstacle to the organization needing to do medical research. But now it is easy, simple and inexpensive to take the text found in those medical records and turn them into a data base. Once the data base is created, it is then easy to do analysis against them. Come hear more.
About the Speaker: Bill Inmon – the “father of data warehouse” – has written 62 books published in nine languages. He received his Bachelor of Science degree in mathematics from Yale University in 1967, and his Master of Science degree in computer science from New Mexico State University. Bill owns and operates Forest Rim Technology, a company that applies and implements data warehousing solutions executed through textual disambiguation and TextualETL. Bill’s latest adventure is the building of technology known as textual disambiguation (textual ETL) – technology that reads raw text in a narrative format and allows the text to be placed in a conventional data base so that it can be analyzed by standard analytical technology, thereby creating unique business value for Big Data/unstructured data. Bill was named by ComputerWorld as one of the ten most influential people in the history of the computer profession. Bill lives in Denver, Colorado. For more information about textual disambiguation (textual ETL) refer to www.forestrimtech.com. Three of Bill’s latest books are DATA ARCHITECTURE: SECOND EDITION, Elsevier press, HEARING THE VOICE OF THE CUSTOMER, Technics Publications, and TURNING TEXT INTO GOLD, Technics Publications. Bill’s most recent book is BUILDING THE DATALAKEHOUSE, Technics Publications.
Conference Website: http://saiconference.com/FICC
Abstract: Medical records are made for the most part in the form of text. And this presents an obstacle to the organization needing to do medical research. But now it is easy, simple and inexpensive to take the text found in those medical records and turn them into a data base. Once the data base is created, it is then easy to do analysis against them. Come hear more.
About the Speaker: Bill Inmon – the “father of data warehouse” – has written 62 books published in nine languages. He received his Bachelor of Science degree in mathematics from Yale University in 1967, and his Master of Science degree in computer science from New Mexico State University. Bill owns and operates Forest Rim Technology, a company that applies and implements data warehousing solutions executed through textual disambiguation and TextualETL. Bill’s latest adventure is the building of technology known as textual disambiguation (textual ETL) – technology that reads raw text in a narrative format and allows the text to be placed in a conventional data base so that it can be analyzed by standard analytical technology, thereby creating unique business value for Big Data/unstructured data. Bill was named by ComputerWorld as one of the ten most influential people in the history of the computer profession. Bill lives in Denver, Colorado. For more information about textual disambiguation (textual ETL) refer to www.forestrimtech.com. Three of Bill’s latest books are DATA ARCHITECTURE: SECOND EDITION, Elsevier press, HEARING THE VOICE OF THE CUSTOMER, Technics Publications, and TURNING TEXT INTO GOLD, Technics Publications. Bill’s most recent book is BUILDING THE DATALAKEHOUSE, Technics Publications.
On November 22nd, 2021, the Chinese government issued the first groundwater regulation known as, Regulations on Groundwater Management, effective December 1st, ...
On November 22nd, 2021, the Chinese government issued the first groundwater regulation known as, Regulations on Groundwater Management, effective December 1st, 2021.
This news has aroused the attention of the public. When the Chinese government starts to address a problem, it’s usually a very serious one.
Have questions? Do you have something to share with us about China? We want to hear from you!
Email: [email protected]
Facebook www.facebook.com/EyesOnChina.
Copyright @ China Insights 2021. Any illegal reproduction of this content in any form will result in immediate action against the person(s) concerned. Your support allows us to produce more high-quality videos.
Consider donating at https://www.paypal.com/paypalme/ChinaInsights
On November 22nd, 2021, the Chinese government issued the first groundwater regulation known as, Regulations on Groundwater Management, effective December 1st, 2021.
This news has aroused the attention of the public. When the Chinese government starts to address a problem, it’s usually a very serious one.
Have questions? Do you have something to share with us about China? We want to hear from you!
Email: [email protected]
Facebook www.facebook.com/EyesOnChina.
Copyright @ China Insights 2021. Any illegal reproduction of this content in any form will result in immediate action against the person(s) concerned. Your support allows us to produce more high-quality videos.
Consider donating at https://www.paypal.com/paypalme/ChinaInsights
Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/
Slides: http://www.natalieparde.com/teaching/cs_421_fall2020/Finite%20St...
Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/
Slides: http://www.natalieparde.com/teaching/cs_421_fall2020/Finite%20State%20Automata.pdf
Twitter: @NatalieParde
Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/
Slides: http://www.natalieparde.com/teaching/cs_421_fall2020/Finite%20State%20Automata.pdf
Twitter: @NatalieParde
River River
Natural flowing watercourse
For other uses, see River (disambiguation).
"Rivers" redirects here. For other uses, see Rivers (disambiguation).
"Rive...
River River
Natural flowing watercourse
For other uses, see River (disambiguation).
"Rivers" redirects here. For other uses, see Rivers (disambiguation).
"Riverine" redirects here. For riverine warfare, see Brown-water navy.
A river is a natural flowing watercourse, usually freshwater stream, flowing on the surface or inside caves towards another waterbody at a lower elevation, such as an ocean, sea, bay, lake, wetland, or another river. In some cases, a river flows into the ground or becomes dry at the end of its course without reaching another body of water. Small rivers can be referred to using names such as creek, brook, and rivulet. There are no official definitions for the generic term river as applied to geographic features, although in some countries or communities, a stream is defined by its size. Many names for small rivers are specific to geographic location; examples are "run" in some parts of the United States, "burn" in Scotland and Northeast England, and "beck" in Northern England. Sometimes a river is defined as being larger than a creek, but not always: the language is vague.
Melting toe of Athabasca Glacier, Jasper National Park, Alberta, Canada
The Amazon River (dark blue) and the rivers which flow into it (medium blue).
The start of a mountain stream.
Rivers are an important part of the water cycle. Water from a drainage basin generally collects into a river through surface runoff from precipitation, meltwater released from natural ice and snowpacks, and other underground sources such as groundwater recharge and springs. Rivers are often considered major features within a landscape; however, they actually only cover around 0.1% of the land on Earth. Rivers are also an important natural terraformer, as the erosive action of running water carves out rills, gullies, and valleys in the surface, as well as transferring silt and dissolved minerals downstream, forming river deltas and islands where the flow slows down. As a waterbody, rivers also serve crucial ecological functions by providing and feeding freshwater habitats for aquatic and semiaquatic fauna and flora, especially for migratory fish species, as well as enabling terrestrial ecosystems to thrive in the riparian zones.
Rivers are significant to mankind since many human settlements and civilizations are built around sizeable rivers and streams. Most of the major cities of the world are situated on the banks of rivers, as they are (or were) depended upon as a vital source of drinking water, for food supply via fishing and agricultural irrigation, for shipping, as natural borders and/or defensive terrains, as a source of hydropower to drive machinery or generate electricity, for bathing, and as a means of disposing of waste. In the pre-industrial era, larger rivers were a major obstacle to the movement of people, goods, and armies across regions. Towns often developed at the few locations suitable for fording, to build bridges, or to support ports,[needs copy edit] and many major cities such as London are located at the narrowest and most reliable sites at which a river could be crossed via bridges or ferries.
In Earth science disciplines, potamology is the scientific study of rivers, while limnology is the study of inland waters in general.
Topography
River River
Natural flowing watercourse
For other uses, see River (disambiguation).
"Rivers" redirects here. For other uses, see Rivers (disambiguation).
"Riverine" redirects here. For riverine warfare, see Brown-water navy.
A river is a natural flowing watercourse, usually freshwater stream, flowing on the surface or inside caves towards another waterbody at a lower elevation, such as an ocean, sea, bay, lake, wetland, or another river. In some cases, a river flows into the ground or becomes dry at the end of its course without reaching another body of water. Small rivers can be referred to using names such as creek, brook, and rivulet. There are no official definitions for the generic term river as applied to geographic features, although in some countries or communities, a stream is defined by its size. Many names for small rivers are specific to geographic location; examples are "run" in some parts of the United States, "burn" in Scotland and Northeast England, and "beck" in Northern England. Sometimes a river is defined as being larger than a creek, but not always: the language is vague.
Melting toe of Athabasca Glacier, Jasper National Park, Alberta, Canada
The Amazon River (dark blue) and the rivers which flow into it (medium blue).
The start of a mountain stream.
Rivers are an important part of the water cycle. Water from a drainage basin generally collects into a river through surface runoff from precipitation, meltwater released from natural ice and snowpacks, and other underground sources such as groundwater recharge and springs. Rivers are often considered major features within a landscape; however, they actually only cover around 0.1% of the land on Earth. Rivers are also an important natural terraformer, as the erosive action of running water carves out rills, gullies, and valleys in the surface, as well as transferring silt and dissolved minerals downstream, forming river deltas and islands where the flow slows down. As a waterbody, rivers also serve crucial ecological functions by providing and feeding freshwater habitats for aquatic and semiaquatic fauna and flora, especially for migratory fish species, as well as enabling terrestrial ecosystems to thrive in the riparian zones.
Rivers are significant to mankind since many human settlements and civilizations are built around sizeable rivers and streams. Most of the major cities of the world are situated on the banks of rivers, as they are (or were) depended upon as a vital source of drinking water, for food supply via fishing and agricultural irrigation, for shipping, as natural borders and/or defensive terrains, as a source of hydropower to drive machinery or generate electricity, for bathing, and as a means of disposing of waste. In the pre-industrial era, larger rivers were a major obstacle to the movement of people, goods, and armies across regions. Towns often developed at the few locations suitable for fording, to build bridges, or to support ports,[needs copy edit] and many major cities such as London are located at the narrowest and most reliable sites at which a river could be crossed via bridges or ferries.
In Earth science disciplines, potamology is the scientific study of rivers, while limnology is the study of inland waters in general.
Topography
In 2020, the UK Prime minister, Boris Johnson approved a controversial and massive transport infrastructure project for the country, called HS2. In 2024, after ...
In 2020, the UK Prime minister, Boris Johnson approved a controversial and massive transport infrastructure project for the country, called HS2. In 2024, after over 15 years of planning. With estimated costs ballooning almost four times to a staggering £106 Billion pounds, and several massive changes to the blueprint, HS2 is still yet to be delivered.
The project was meant to connect the disproportionately populated London with the rest of the UK, including cities like Birmingham, Manchester, and Leeds, with the eventual goal of stretching all the way to Scotland. But the project was mired with problems from the start.
The huge environmental costs and damage to England's iconic landscapes and wildlife had protests rising up all over the country. Legal battles ensued, adding years and tens of millions of pounds to a budget that was spiralling out of control. It seemed as if the project was doomed to join other great transport engineering follies of the modern age, such as the Moscow Monorail, or the California High Speed Rail.
This is in contrast to China's High-Speed Rail network, the largest rail network in the world. The idea for this was originally floated long after planning for HS2 began in the UK, but quickly overtook it in rollout and delivery.
HS2 would have been completed in just under 2 years at the pace and level of investment. Instead, it labours on, far from the destination it promised, and at four times the predicted cost. Could this be the United Kingdom’s biggest, and most costly, infrastructure blunder ever?
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In 2020, the UK Prime minister, Boris Johnson approved a controversial and massive transport infrastructure project for the country, called HS2. In 2024, after over 15 years of planning. With estimated costs ballooning almost four times to a staggering £106 Billion pounds, and several massive changes to the blueprint, HS2 is still yet to be delivered.
The project was meant to connect the disproportionately populated London with the rest of the UK, including cities like Birmingham, Manchester, and Leeds, with the eventual goal of stretching all the way to Scotland. But the project was mired with problems from the start.
The huge environmental costs and damage to England's iconic landscapes and wildlife had protests rising up all over the country. Legal battles ensued, adding years and tens of millions of pounds to a budget that was spiralling out of control. It seemed as if the project was doomed to join other great transport engineering follies of the modern age, such as the Moscow Monorail, or the California High Speed Rail.
This is in contrast to China's High-Speed Rail network, the largest rail network in the world. The idea for this was originally floated long after planning for HS2 began in the UK, but quickly overtook it in rollout and delivery.
HS2 would have been completed in just under 2 years at the pace and level of investment. Instead, it labours on, far from the destination it promised, and at four times the predicted cost. Could this be the United Kingdom’s biggest, and most costly, infrastructure blunder ever?
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"Don sits in a meeting, listening to the description of a Miller beer drinker, described as a man from Wisconsin. It's the meeting he's wanted his whole career,...
"Don sits in a meeting, listening to the description of a Miller beer drinker, described as a man from Wisconsin. It's the meeting he's wanted his whole career, a chance to really impress a big client.
But his heart isn't in it. It's obvious from Jon Hamm's face. And then he looks out the window." http://www.vox.com/2015/5/4/8542087/mad-men-recap-lost-horizon-review
"Don sits in a meeting, listening to the description of a Miller beer drinker, described as a man from Wisconsin. It's the meeting he's wanted his whole career, a chance to really impress a big client.
But his heart isn't in it. It's obvious from Jon Hamm's face. And then he looks out the window." http://www.vox.com/2015/5/4/8542087/mad-men-recap-lost-horizon-review
Title: Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-pooling Strategy and Window-based Attention - (longer introduction)
Authors: Junjie Li (Ping An Technology, China), Zhiyu Zhang (National Tsing Hua University, Taiwan), Minchuan Chen (Ping An Technology, China), Jun Ma (Ping An Technology, China), Shaojun Wang (Ping An Technology, China), Jing Xiao (Ping An Technology, China)
Category: Speech Synthesis: Linguistic processing, paradigms and other topics
Abstract: In this paper, we propose a novel system based on word-level features and window-based attention for polyphone disambiguation, which is a fundamental task for Grapheme-to-phoneme (G2P) conversion of Mandarin Chinese. The framework aims to combine a pre-trained language model with explicit word-level information in order to get meaningful context extraction. Particularly, we employ a pre-trained bidirectional encoder from Transformers (BERT) model to extract character-level features, and an external Chinese word segmentation (CWS) tool is used to obtain the word units. We adopt a mixed pooling mechanism to convert character-level features into word-level features based on the segmentation results. A window-based attention module is utilized to incorporate contextual word-level features for the polyphonic characters. Experimental results show that our method achieves an accuracy of 99.06% on an open benchmark dataset for Mandarin Chinese polyphone disambiguation, which outperforms the baseline systems.
For more details and PDF version of the paper visit: https://www.isca-speech.org/archive/interspeech_2021/li21n_interspeech.html
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"Here we present a general supervised framework for record deduplication and author-disambiguation via Spark. This work differentiates itself by - Application of Databricks and AWS makes this a scalable implementation. Compute resources are comparably lower than traditional legacy technology using big boxes 24/7. Scalability is crucial as Elsevier's Scopus data, the biggest scientific abstract repository, covers roughly 250 million authorships from 70 million abstracts covering a few hundred years. - We create a fingerprint for each content by deep learning and/or word2vec algorithms to expedite pairwise similarity calculation. These encoders substantially reduce compute time while maintaining semantic similarity (unlike traditional TFIDF or predefined taxonomies). We will briefly discuss how to optimize word2vec training with high parallelization. Moreover, we show how these encoders can be used to derive a standard representation for all our entities namely such as documents, authors, users, journals, etc. This standard representation can simplify the recommendation problem into a pairwise similarity search and hence it can offer a basic recommender for cross-product applications where we may not have a dedicate recommender engine designed. - Traditional author-disambiguation or record deduplication algorithms are batch-processing with small to no training data. However, we have roughly 25 million authorships that are manually curated or corrected upon user feedback. Hence, it is crucial to maintain historical profiles and hence we have developed a machine learning implementation to deal with data streams and process them in mini batches or one document at a time. We will discuss how to measure the accuracy of such a system, how to tune it and how to process the raw data of pairwise similarity function into final clusters. Lessons learned from this talk can help all sort of companies where they want to integrate their data or deduplicate their user/customer/product databases.
Session hashtag: #EUai2"
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Read more here: https://databricks.com/product/unified-data-analytics-platform
Connect with us:
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Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner
Conference Website: http://saiconference.com/FICC
Abstract: Medical records are made for the most part in the form of text. And this presents an obstacle to the organization needing to do medical research. But now it is easy, simple and inexpensive to take the text found in those medical records and turn them into a data base. Once the data base is created, it is then easy to do analysis against them. Come hear more.
About the Speaker: Bill Inmon – the “father of data warehouse” – has written 62 books published in nine languages. He received his Bachelor of Science degree in mathematics from Yale University in 1967, and his Master of Science degree in computer science from New Mexico State University. Bill owns and operates Forest Rim Technology, a company that applies and implements data warehousing solutions executed through textual disambiguation and TextualETL. Bill’s latest adventure is the building of technology known as textual disambiguation (textual ETL) – technology that reads raw text in a narrative format and allows the text to be placed in a conventional data base so that it can be analyzed by standard analytical technology, thereby creating unique business value for Big Data/unstructured data. Bill was named by ComputerWorld as one of the ten most influential people in the history of the computer profession. Bill lives in Denver, Colorado. For more information about textual disambiguation (textual ETL) refer to www.forestrimtech.com. Three of Bill’s latest books are DATA ARCHITECTURE: SECOND EDITION, Elsevier press, HEARING THE VOICE OF THE CUSTOMER, Technics Publications, and TURNING TEXT INTO GOLD, Technics Publications. Bill’s most recent book is BUILDING THE DATALAKEHOUSE, Technics Publications.
On November 22nd, 2021, the Chinese government issued the first groundwater regulation known as, Regulations on Groundwater Management, effective December 1st, 2021.
This news has aroused the attention of the public. When the Chinese government starts to address a problem, it’s usually a very serious one.
Have questions? Do you have something to share with us about China? We want to hear from you!
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Material based on Jurafsky and Martin (2019): https://web.stanford.edu/~jurafsky/slp3/
Slides: http://www.natalieparde.com/teaching/cs_421_fall2020/Finite%20State%20Automata.pdf
Twitter: @NatalieParde
River River
Natural flowing watercourse
For other uses, see River (disambiguation).
"Rivers" redirects here. For other uses, see Rivers (disambiguation).
"Riverine" redirects here. For riverine warfare, see Brown-water navy.
A river is a natural flowing watercourse, usually freshwater stream, flowing on the surface or inside caves towards another waterbody at a lower elevation, such as an ocean, sea, bay, lake, wetland, or another river. In some cases, a river flows into the ground or becomes dry at the end of its course without reaching another body of water. Small rivers can be referred to using names such as creek, brook, and rivulet. There are no official definitions for the generic term river as applied to geographic features, although in some countries or communities, a stream is defined by its size. Many names for small rivers are specific to geographic location; examples are "run" in some parts of the United States, "burn" in Scotland and Northeast England, and "beck" in Northern England. Sometimes a river is defined as being larger than a creek, but not always: the language is vague.
Melting toe of Athabasca Glacier, Jasper National Park, Alberta, Canada
The Amazon River (dark blue) and the rivers which flow into it (medium blue).
The start of a mountain stream.
Rivers are an important part of the water cycle. Water from a drainage basin generally collects into a river through surface runoff from precipitation, meltwater released from natural ice and snowpacks, and other underground sources such as groundwater recharge and springs. Rivers are often considered major features within a landscape; however, they actually only cover around 0.1% of the land on Earth. Rivers are also an important natural terraformer, as the erosive action of running water carves out rills, gullies, and valleys in the surface, as well as transferring silt and dissolved minerals downstream, forming river deltas and islands where the flow slows down. As a waterbody, rivers also serve crucial ecological functions by providing and feeding freshwater habitats for aquatic and semiaquatic fauna and flora, especially for migratory fish species, as well as enabling terrestrial ecosystems to thrive in the riparian zones.
Rivers are significant to mankind since many human settlements and civilizations are built around sizeable rivers and streams. Most of the major cities of the world are situated on the banks of rivers, as they are (or were) depended upon as a vital source of drinking water, for food supply via fishing and agricultural irrigation, for shipping, as natural borders and/or defensive terrains, as a source of hydropower to drive machinery or generate electricity, for bathing, and as a means of disposing of waste. In the pre-industrial era, larger rivers were a major obstacle to the movement of people, goods, and armies across regions. Towns often developed at the few locations suitable for fording, to build bridges, or to support ports,[needs copy edit] and many major cities such as London are located at the narrowest and most reliable sites at which a river could be crossed via bridges or ferries.
In Earth science disciplines, potamology is the scientific study of rivers, while limnology is the study of inland waters in general.
Topography
In 2020, the UK Prime minister, Boris Johnson approved a controversial and massive transport infrastructure project for the country, called HS2. In 2024, after over 15 years of planning. With estimated costs ballooning almost four times to a staggering £106 Billion pounds, and several massive changes to the blueprint, HS2 is still yet to be delivered.
The project was meant to connect the disproportionately populated London with the rest of the UK, including cities like Birmingham, Manchester, and Leeds, with the eventual goal of stretching all the way to Scotland. But the project was mired with problems from the start.
The huge environmental costs and damage to England's iconic landscapes and wildlife had protests rising up all over the country. Legal battles ensued, adding years and tens of millions of pounds to a budget that was spiralling out of control. It seemed as if the project was doomed to join other great transport engineering follies of the modern age, such as the Moscow Monorail, or the California High Speed Rail.
This is in contrast to China's High-Speed Rail network, the largest rail network in the world. The idea for this was originally floated long after planning for HS2 began in the UK, but quickly overtook it in rollout and delivery.
HS2 would have been completed in just under 2 years at the pace and level of investment. Instead, it labours on, far from the destination it promised, and at four times the predicted cost. Could this be the United Kingdom’s biggest, and most costly, infrastructure blunder ever?
Join our YouTube channel by clicking here: https://bit.ly/3asNo2n
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"Don sits in a meeting, listening to the description of a Miller beer drinker, described as a man from Wisconsin. It's the meeting he's wanted his whole career, a chance to really impress a big client.
But his heart isn't in it. It's obvious from Jon Hamm's face. And then he looks out the window." http://www.vox.com/2015/5/4/8542087/mad-men-recap-lost-horizon-review
Delta or Delta State is an oil and agricultural producing state of Nigeria, situated in the region known as the South-South geo-political zone with a population of 4,098,291 (males: 2,674,306; females: 2,024,085).Ngozi Okonjo-Iweala, the former Federal Minister of Finance and Coordinating of Economy and former World Bank Managing Director, is from the state. The capital city is Asaba, located at the northern end of the state, with an estimated area of 762 square kilometres (294sqmi), while Warri is the economic nerve center of the state and also the most populated located in the southern end of the state. The state has a total land area of 16,842 square kilometres (6,503sqmi).
Geography
The state covers a landmass of about 18,050km², of which more than 60% is land. The state lies approximately between Longitude 5°00 and 6°.45' East and Latitude 5°00 and 6°.30' North. It is bounded in the north and west by Edo State, the east by Anambra, Imo, and Rivers States, southeast by Bayelsa State, and on the southern flank is the Bight of Benin which covers about 160 kilometres of the state's coastline. Delta State is generally low-lying without remarkable hills. The state has a wide coastal belt inter-lace with rivulets and streams, which form part of the Niger Delta.