Survey on terminology extraction from texts by Kang Xu, Yifan Feng, Qiandi Li, Zhenjiang Dong, Jianxiang Wei

“…Abstract Automatic extraction of domain-related terminology from natural language texts is an important research topic with many practical application scenarios, such as text summarization, knowledge graph construction. …”
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Hybrid Electronic Watt-Hour Meter by M. Hrovat, F. Jan, L. Trontelj, J. Trontelj

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Usage of Vegetal Wastes for Energy Production by I. I. Karpunin, V. V. Kuzmich, T. F. Balabanova

“…An analysis on usage of vegetal wastes for energy production is presented in the paper.The paper reveals that logging debris and linen chaffs are considered as a prospective raw material for energy production in theRepublicofBelarus.…”
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Clinicoepidemiological Study of Different Types of Warts by Shruti S. Ghadgepatil, Sanjeev Gupta, Yugal K. Sharma

“…Overall prevalence peaked during the second decade but one-third of the cases of plane warts occurred during the first. Extremities were the most common sites (66.7%); face was the next commonly (23%) involved.…”
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Additional Remarks on West Indian Gyrinidæ by Georg Ochs

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The BRICS Order: Assertive or Complementing the West? by Isaac Khambule

“…(eds.) 2021: The BRICS Order: Assertive or Complementing the West? Palgrave MacMillan, 364 Pages, ISSN 2662-2483 ISSN 2662-2491 (electronic) International Political Economy Series ISBN 978-3-030-62764-5 ISBN 978-3-030-62765-2 (eBook) …”
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Florida's Environment - Central West Region by Martin B. Main, Ginger M. Allen

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Review of information hiding on Chinese text by Guohua WU, Lichun GONG, Lifeng YUAN, Ye YAO

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The retranslation of the sacre text: return or modernization? by G. T. Khukhuni, I. I. Valuitseva

“…Three main tendencies are postulated: 1) the return to the «right» text on sacred language and «purification» of the existing version; 2) striving for «modernization» – the transition from the traditional sacred language to the modern one; 3) the contamination of both tendencies, when the Bible is represented on «non-sacred» language, but the text is most archaized.…”
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STUDENTS’ DIFFICULTIES IN TRANSLATING ENGLISH TEXT by Arono Arono, Nadrah Nadrah

“…Keywords: Translation, difficulties, and English text…”
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Liability for Delays in Diagnosis – Waiting for Trouble? by Thomas R Todd, Paul C Adams

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Introduction : Storying the West in Postfrontier Literature by David Rio, Øyunn Hestetun

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Factsheet: West Sea Crisis In Korea by John McGlynn, Nan Kim

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ONE – STAGE METAL WASTES RECYCLING by S. L. Rovin, L. E. Rovin, V. A. Zharanov, T. M. Zayats

“…Rotary tilting furnace is the most efficient installation for recycling of dispersible metal wastes of any alloy. Several constructions have been designed for chips heating and melting, scale recovery, ets.…”
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Text detection based on stroke features by WANG Wei-qiang1, FU Li-bo1, GAO Wen1, HUANG Qing-ming1, JIANG Shu-qiang1

Subjects: “…text detection…”
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Research progress and trend of text summarization by Tuosiyu MING, Hongchang CHEN

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And again about research and educational texts by A. S. Robotova

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Object Lessons: The Victorians and the Material Text by Mary Elizabeth Leighton, Lisa Surridge

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Bioinsecticide Production from Cigarette Wastes by Badhane Gudeta, Solomon K, M. Venkata Ratnam

“…The tobacco processing business creates a significant amount of hazardous tobacco waste containing nicotine, and only a tiny portion of it gets recycled. …”
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Steganalysis for stegotext based on text redundancy by LUO Gang, SUN Xing-ming

“…Targeted at the text steganography with mimic model,a steganalysis method based on source redundancy for stegotexts was proposed.This method processed the text and the words in it as the m-order Markov source and the source symbols respectively,then computed the redundancy of the source.Through analyzing the relationship between the re-dundancy and the size of the text,the existence of hidden information could be determined.With testing of 8 000 ste-gotexts produced by the four main softwares NiceText,Texto,Stego and Sams Big Play Maker,and 2 400 normal texts randomly sampled from innocuous texts downloaded from the Internet,the results show that the false positive rate of our steganalysis method is 0.5% and the false negative rate is 3.9%.Experiments and analyzing results indicate that the steganalysis method can effectively detect stegotexts based on natural language processing with mimic model.…”
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