Academic literature on the topic 'Compression of binary information'

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Journal articles on the topic "Compression of binary information"

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Morozov, Denys. "Polynomial Representation of Binary Trees of Entropy Binary Codes." Mohyla Mathematical Journal 4 (May 19, 2022): 20–23. http://dx.doi.org/10.18523/2617-70804202120-23.

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An important component of streaming large amounts of information are algorithms for compressing information flow. Which in turn are divided into lossless compression algorithms (entropic) - Shannon, Huffman, arithmetic coding, conditional compression - LZW, and otherinformation cone injections and lossy compression algorithms - such as mp3, jpeg and others.
 It is important to follow a formal strategy when building a lossy compression algorithm. It can be formulated as follows. After describing the set of objects that are atomic elements of exchange in the information flow, it is necessar
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Borysenko, Oleksiy. "QUANTUM COMPRESSION OF BINARY MESSAGES." Grail of Science, no. 23 (January 3, 2023): 137–42. http://dx.doi.org/10.36074/grail-of-science.23.12.2022.22.

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In the proposed work, the problem of compressing binary messages in one cycle is solved. A method for solving it in relation to Bernoulli sources of information is proposed, using tabular logic, according to which the original message is converted by the decoder of the compression system into a pre-recorded number in one of its memory cells together with a number representing the number of units in the original message. Restoration of compressed information also occurs according to tabular logic, in which the number of the compressed message excites the original message recorded in the corresp
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Igor, Kulyk, Berezhna Olga, and Shevchenko Marina. "Development of data compressing coding methods on basis of binary binomial numbers." Technology audit and production reserves 2, no. 2(46) (2019): 12–18. https://doi.org/10.15587/2312-8372.2019.169897.

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<em>The object of research is the methods of compressive coding, which are used for economical presentation of data in information systems. Compression methods can be used at various stages of data processing, in the transmission of messages and their storage. One of the most problematic places for the application of compression methods are high requirements for computing resources, significant hardware and software costs for their implementation and low coding/decoding speed. In this case, of particular interest are methods, on the results of compression of which computational operations are
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MYCHKA, Sviatoslav, and Nataliya GOLYAN. "LOSSLESS BINARY DATA COMPRESSION METHODS FOR INCREASING THE PRODUCTIVITY OF SOFTWARE SYSTEMS." Information Technology: Computer Science, Software Engineering and Cyber Security, no. 1 (April 30, 2025): 162–68. https://doi.org/10.32782/it/2025-1-22.

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The article describes methods used for data compression without considering formats or types. Data compression is the process of encoding data to reduce its size; lossless data compression means that the reverse decoding process restores the data in its original form. There are limitations to lossless data compression that depend on the information entropy of the message: the lower it is, the greater the potential compression ratio of this data. Data with high entropy, for example, random or previously compressed with a sufficiently optimal encoding, cannot be compressed. The work aims to inve
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Daggubati, Siva Phanindra, Venkata Rao Kasukurthi, and Prasad Reddy. "Advancing Genomic Data Management through TCompress: An Innovative Method for Sequence Compression of Biological Sequence Compression Algorithm using Text-Compression Tools." Indian Journal Of Science And Technology 18, no. 23 (2025): 1811–17. https://doi.org/10.17485/ijst/v18i23.2790.

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Objectives: With the rapid growth of genetic data, there is an urgent need for efficient methods to compress biological sequences. This study aims to enhance the storage and retrieval of large volumes of genetic information by introducing TCompress, a new compression algorithm specifically designed for DNA sequences. Method: We developed a custom software tool called TCompress that converts biological sequences into binary format. This binary representation enables the use of standard text compression tools such as GenCompress, 7-Zip, GZip, and PeaZip. A detailed evaluation was conducted to me
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Kulyk, Igor, Olga Berezhna, Anatoliy Novhorodtsev, and Maryna Shevchenko. "Development of binary information compression methods based on the binomial numerical function." Eastern-European Journal of Enterprise Technologies 3, no. 4 (111) (2021): 6–13. http://dx.doi.org/10.15587/1729-4061.2021.234492.

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The application of data compression methods is an effective means of improving the performance of information systems. At the same time, interest is aroused to the methods of compression without information loss which are distinguished by their versatility, low needs of costs during implementation, and the possibility of self-control. In this regard, the application of binomial numbering systems is promising. The numerical function of the binomial numbering system is used for compression. It makes it possible to put sequences in one-to-one compliance with their numbers. In this case, the trans
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Igor, Kulyk, Berezhna Olga, Novhorodtsev Anatoliy, and Shevchenko Maryna. "Development of binary information compression methods based on the binomial numerical function." Eastern-European Journal of Enterprise Technologies 3, no. 4 (111) (2021): 6–13. https://doi.org/10.15587/1729-4061.2021.234492.

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The application of data compression methods is an effective means of improving the performance of information systems. At the same&nbsp;time, interest is aroused to the methods of compression without information loss which are distinguished by their versatility, low needs of costs during implementation, and the possibility of self-control. In this regard, the application of binomial numbering systems is promising. The numerical function of the binomial numbering system is used for compression. It makes it possible to put sequences in one-to-one compliance with their numbers. In this case, the
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Li, Sheng, Jiajun Su, Zichi Wang, and Xin Chen. "Privacy protection based on binary fingerprint compression." Journal of Real-Time Image Processing 16, no. 3 (2019): 791–98. http://dx.doi.org/10.1007/s11554-019-00857-y.

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Ko, Hyung-Hwa. "Enhanced Binary MQ Arithmetic Coder with Look-Up Table." Information 12, no. 4 (2021): 143. http://dx.doi.org/10.3390/info12040143.

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Binary MQ arithmetic coding is widely used as a basic entropy coder in multimedia coding system. MQ coder esteems high in compression efficiency to be used in JBIG2 and JPEG2000. The importance of arithmetic coding is increasing after it is adopted as a unique entropy coder in HEVC standard. In the binary MQ coder, arithmetic approximation without multiplication is used in the process of recursive subdivision of range interval. Because of the MPS/LPS exchange activity that happens in the MQ coder, the output byte tends to increase. This paper proposes an enhanced binary MQ arithmetic coder to
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Hu, Jiwei, Yue Hong, Qiwen Jin, Guangpeng Zhao, and Hongyang Lu. "An Efficient Dual-Stage Compression Model for Maritime Safety Information Based on BeiDou Short-Message Communication." Journal of Marine Science and Engineering 11, no. 8 (2023): 1521. http://dx.doi.org/10.3390/jmse11081521.

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In the context of utilizing BeiDou short-message communication (SMC) for transmitting maritime safety information, challenges arise regarding information redundancy and limited message length. To address these issues, compressing the data content of SMC becomes essential. This paper proposes a dual-stage compression model based on Beidou SMC for compressing maritime safety information, aiming to achieve efficient compression and reduce information redundancy. In the first stage, a binary encoding method (MBE) specifically designed for maritime safety information is proposed to optimize the byt
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Dissertations / Theses on the topic "Compression of binary information"

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Jones, Greg 1963-2017. "RADIX 95n: Binary-to-Text Data Conversion." Thesis, University of North Texas, 1991. https://digital.library.unt.edu/ark:/67531/metadc500582/.

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This paper presents Radix 95n, a binary to text data conversion algorithm. Radix 95n (base 95) is a variable length encoding scheme that offers slightly better efficiency than is available with conventional fixed length encoding procedures. Radix 95n advances previous techniques by allowing a greater pool of 7-bit combinations to be made available for 8-bit data translation. Since 8-bit data (i.e. binary files) can prove to be difficult to transfer over 7-bit networks, the Radix 95n conversion technique provides a way to convert data such as compiled programs or graphic images to printable ASC
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Bartrina, Rapesta Joan, Victor Sanchez, Sagrsità Joan Serra, Michael W. Marcellin, Llinàs Francesc Aulí, and Ian Blanes. "Lossless medical image compression through lightweight binary arithmetic coding." SPIE-INT SOC OPTICAL ENGINEERING, 2017. http://hdl.handle.net/10150/626487.

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A contextual lightweight arithmetic coder is proposed for lossless compression of medical imagery. Context definition uses causal data from previous symbols coded, an inexpensive yet efficient approach. To further reduce the computational cost, a binary arithmetic coder with fixed-length codewords is adopted, thus avoiding the normalization procedure common in most implementations, and the probability of each context is estimated through bitwise operations. Experimental results are provided for several medical images and compared against state-of-the-art coding techniques, yielding on average
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Crowley, William L. "Lossless compression using binary necklace classes and multiple huffman trees." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA397592.

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Merkl, Frank J. "Binary image compression using run length encoding and multiple scanning techniques /." Online version of thesis, 1988. http://hdl.handle.net/1850/8309.

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Ibikunle, John Olutayo. "Projection domain compression of image information." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/47614.

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Maniccam, Suchindran S. "Image-video compression, encryption and information hiding /." Online version via UMI:, 2001.

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Hoque, Abu Sayed Md Latiful. "Compression of structured and semi-structured information." Thesis, University of Strathclyde, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405329.

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Hong, Lihao. "Pavement Information System: Detection, Classification and Compression." Connect to full text in OhioLINK ETD Center, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1260901996.

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Thesis (M.S.)--University of Toledo, 2009.<br>Typescript. "Submitted as partial fulfillment of the requirements for The Master of Science Degree in Engineering." "A thesis entitled"--at head of title. Bibliography: leaves 55-56.
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Chan, Ho Yin. "Graph-theoretic approach to the non-binary index assignment problem /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?ECED%202008%20CHAN.

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Väyrynen, A. (Antti). "Finding third-party components with binary analysis." Master's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201504161389.

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The increased usage of open-source software (OSS) libraries as building blocks in the software industry has introduced numerous problems and vulnerabilities into many popular software suites. As more libraries are used, the risk of the whole software being exposed to the vulnerabilities inherent in these third-party components increases. Vulnerability management is the process of mitigating the impact of these vulnerabilities in software development. Another matter concerning OSS is license management. Violating OSS licenses can lead to legal issues and possibly harm a business. A few commerci
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Books on the topic "Compression of binary information"

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Foteinopoulos, P. D. Advanced compression of binary form based document images. UMIST, 1993.

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Seidler, Jerzy. Information systems and data compression. Kluwer, 1997.

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Seidler, J. Information systems and data compression. Kluwer Academic, 1997.

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Moffat, Alistair. Compression and Coding Algorithms. Springer US, 2002.

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A, Harris Greg, and Johnson Peter D. 1945-, eds. Introduction to information theory and data compression. 2nd ed. Chapman & Hall/CRC Press, 2003.

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Hankerson, Darrel. Introduction to information theory and data compression. CRC Press, 1998.

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Hankerson, Darrel R. Introduction to information theory and data compression. CRC Press, 1998.

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Hankerson, Darrel R. Introduction to information theory and data compression. 2nd ed. Chapman & Hall/CRC Press, 2002.

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Andrew, Turpin, ed. Compression and coding algorithms. Kluwer Academic Publishers, 2002.

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1959-, Chen Chang Wen, and Zhang Ya-Qin 1969-, eds. Visual information representation, communication, and image processing. Marcel Dekker, 1999.

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Book chapters on the topic "Compression of binary information"

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Zavadskyi, Igor, and Maksym Kovalchuk. "Binary Mixed-Digit Data Compression Codes." In String Processing and Information Retrieval. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43980-3_31.

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Pujar, Jagadish H., and Pallavi S. Gurjal. "Binary Data Compression Using Medial Axis Transform Algorithm." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12214-9_69.

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Rueda, Luis, and B. John Oommen. "Efficient Adaptive Data Compression Using Fano Binary Search Trees." In Computer and Information Sciences - ISCIS 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11569596_79.

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Knoblauch, Andreas. "Optimal Matrix Compression Yields Storage Capacity 1 for Binary Willshaw Associative Memory." In Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44989-2_39.

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Jensen, Søren Kejser, Christian Thomsen, and Torben Bach Pedersen. "ModelarDB: Integrated Model-Based Management of Time Series from Edge to Cloud." In Transactions on Large-Scale Data- and Knowledge-Centered Systems LIII. Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-66863-4_1.

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AbstractTo ensure critical infrastructure is operating as expected, high-quality sensors are increasingly installed. However, due to the enormous amounts of high-frequency time series they produce, it is impossible or infeasible to transfer or even store these time series in the cloud when using state-of-the-practice compression methods. Thus, simple aggregates, e.g., 1–10-minutes averages, are stored instead of the raw time series. However, by only storing these simple aggregates, informative outliers and fluctuations are lost. Many Time Series Management System (TSMS) have been proposed to e
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Buchanan, William. "Data Compression." In Mastering Global Information Systems. Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-14411-2_5.

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Topaloglu, U., and C. Bayrak. "Polymorphic Compression." In Computer and Information Sciences - ISCIS 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11569596_78.

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Mittelbach, Arno, and Marc Fischlin. "Constructing Compression Functions." In Information Security and Cryptography. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63287-8_14.

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Jiao, Wencong, Tao Li, Guoqiang Zhong, and Li-Na Wang. "AutoML for DenseNet Compression." In Neural Information Processing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36718-3_13.

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Pontius, Robert Gilmore. "Binary Variable Versus Binary Variable." In Advances in Geographic Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-70765-1_1.

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Conference papers on the topic "Compression of binary information"

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Agnihotri, Samar, Renu M. Rameshan, Ritwik Ghosal, and Prerit Gupta. "Lossless Binary Image Compression Using Learned Multi-Level Dictionaries." In 2024 60th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2024. http://dx.doi.org/10.1109/allerton63246.2024.10735272.

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Bustin, Ronit, and Ofer Shayevitz. "On lossy compression of binary matrices." In 2017 IEEE International Symposium on Information Theory (ISIT). IEEE, 2017. http://dx.doi.org/10.1109/isit.2017.8006794.

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Sechelea, Andrei, Adrian Munteanu, Samuel Cheng, and Nikos Deligiannis. "The Rate Loss in Binary Source Coding with Decoder Side Information." In 2016 Data Compression Conference (DCC). IEEE, 2016. http://dx.doi.org/10.1109/dcc.2016.62.

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Morshed, Khaled Mahbub, Ingmar Land, and Gottfried Lechner. "Lossless compression of uniform binary sources with coded side-information." In 2014 Australian Communications Theory Workshop (AusCTW). IEEE, 2014. http://dx.doi.org/10.1109/ausctw.2014.6766436.

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Magner, Abram, Krzysztof Turowski, and Wojciech Szpankowski. "Lossless compression of binary trees with correlated vertex names." In 2016 IEEE International Symposium on Information Theory (ISIT). IEEE, 2016. http://dx.doi.org/10.1109/isit.2016.7541492.

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Gilmutdinov, Marat, Nickolay Egorov, and Dmitriy Novikov. "Lossless image compression scheme with binary layers scanning." In 2014 XIV International Symposium on Problems of Redundancy in Information and Control Systems (REDUNDANCY). IEEE, 2014. http://dx.doi.org/10.1109/red.2014.7016703.

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Davenport, Mark A., and Ery Arias-Castro. "Compressive binary search." In 2012 IEEE International Symposium on Information Theory - ISIT. IEEE, 2012. http://dx.doi.org/10.1109/isit.2012.6283595.

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Szoke, Ildiko-Angelica, Diana Lungeanu, and Stefan Holban. "Image compression techniques using Local Binary Pattern." In 2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2015. http://dx.doi.org/10.1109/sami.2015.7061863.

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Cappellari, Lorenzo. "Lossy source compression of non-uniform binary sources using GQ-LDGM codes." In 2010 IEEE Information Theory Workshop (ITW 2010). IEEE, 2010. http://dx.doi.org/10.1109/cig.2010.5592821.

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Shamir, Gil I., Tjalling J. Tjalkens, and Frans M. J. Willems. "Low-complexity sequential probability estimation and universal compression for binary sequences with constrained distributions." In 2008 IEEE International Symposium on Information Theory - ISIT. IEEE, 2008. http://dx.doi.org/10.1109/isit.2008.4595136.

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Reports on the topic "Compression of binary information"

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Ramchandran, Kannan. Visual Communications: The Next Generation - Compression, Access, and Delivery of Visual Information. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada391217.

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Wu, Fan, Zhi-hui Huang, Bin Xu, Dawei Sang, Zhi-gang Li, and De Liang. Extrapedicular vs transpedicular percutaneous kyphoplasty for osteoporotic vertebral compression fractures. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0048.

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Review question / Objective: To assess the efficacy and safety of the two approaches as a treatment for patients with OVCF. Condition being studied: Osteoporotic Vertebral Compression Fractures(OVCFs) is one of the most common health problems in the elderly population. Percutaneous kyphoplasty is a minimally invasive technique that has gained widespread recognition. Transpedicular and extrapedicular are two approaches for kyphoplasty. But over the last decade, the safety and effect of two approaches remain unclear, and there is still a lack if evaluation of their therapeutic effects. Informati
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Datta, Sayantan, Debomita Mukherjee, Prajwal Gaikwad, Shreya Sridhar, and Riya Parekh. No Space for Some Transgender, Gender Non-Conforming and Gender Non-Binary Persons’ Access to Science Higher Education in India. Indian Institute for Human Settlements, 2023. http://dx.doi.org/10.24943/tesf0806.2023.

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This project undertakes a large-scale quantitative and qualitative investigation into the lived experiences of transgender, gender non-conforming and gender non-binary persons in the Indian science ecosystem. Towards this goal, the study uses four key research methods: (a) applications under the Right to Information Act, 2005 to investigate the status of implementation of the legislative, judicial and policy documents that govern the access of transgender, gender non-conforming and gender non-binary persons to the Indian science ecosystem; (b) a policyscape approach to policy analysis to under
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Unknown, Author. PR-215-9129-R01 Preferred Characteristics of Future Compression Stations - A Pipeline Industry Survey. Pipeline Research Council International, Inc. (PRCI), 1993. http://dx.doi.org/10.55274/r0012062.

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An industry survey of a representative group of gas transport experts in the pipeline industry. This survey was undertaken primarily to define and measure their perceptions of the relative rankings of the important factors considered in purchasing compressor station equipment; this information will be used subsequently to help screen technology ideas. Secondarily, the survey was designed to obtain some insight as to the types of equipment in use, when and with what it might be replaced or extended, and what new technologies could be of interest.
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Fieseler, Kelsey, and Timothy Jacobs. PR-457-14201-R04 Variable NG Composition Effects on LB 2SC Integral Engines. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011525.

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The overall goal of this project is to improve upon existing engine control strategies of large bore, fuel-lean natural gas engines in order to increase efficiency and maintain emissions compliance during variable fuel composition events. This will be done by simulating the effects of variable fuels in a natural gas engine, and if necessary, develop engine control methods. Phase III builds upon the work of previous phases by implementing detailed cylinder-level geometry, increasing the number of alkane species in the laminar flame speed and ignition delay solutions, and incorporating a precham
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Chamberlain, C. A., and K. Lochhead. Data modeling as applied to surveying and mapping data. Natural Resources Canada/CMSS/Information Management, 1988. http://dx.doi.org/10.4095/331263.

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The Geodetic Survey Division of the Canada Centre for Surveying is replacing the National Geodetic Data Base (NGDB) with the National Geodetic Information System (NGIS). For the NGIS to be successful, it was recognized that a sound, well engineered data mode was essential. The methodology chosen to design the data mode! was Nijssen's Information Analysis Methodology (NIAM), a binary modeling technique that is supported by a Computer Aided Software Engineering (CASE) tool, PC-IAST. An NGIS prototype has also been developed using Digital Equipment of Canada's Relational Database (Rdb) management
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Baldwin, Richard M. TA-97-4 Black Powder in the Gas Industry - Sources Characteristics and Treatment. Pipeline Research Council International, Inc. (PRCI), 1998. http://dx.doi.org/10.55274/r0011722.

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The original objective of this research was to investigate means of controlling materials ingested into compressors in pipeline, refinery, gathering, and storage services. After an initial industry survey, it was determined that "Black Powder" (various forms of iron sulfide mixed with contaminants) is the least understood and most prominent contamination problem in pipelines and their compression equipment. The information documented in this report was gathered from technical literature, the Internet, researchers, experts, practitioners in the natural gas industry, field experience, and equipm
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Tanthapanichakoon, Wiwut. Development of phase doppler anemometer for measuring velocity and size distribution of paticulate materials. Chulalongkorn University, 2004. https://doi.org/10.58837/chula.res.2004.72.

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Particle size analysis is an essential analytical task in a large variety of processes of industrial and laboratorial relevance. Phase doppler anemometer (PDA) is one of well-established techniques allowing simultaneous measurement of velocity and size of particles, droplets, or bubbles in two-phase flows including spray atomization. The method is based upon the principle of light scattering interferometry. When a particle passes through the probe volume defined by the intersection of two laser beams, the phase of the light scattered by the particle carries information about the particle size,
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Wachen, John, and Steven McGee. Qubit by Qubit’s Four-Week Quantum Computing Summer School Evaluation Report for 2021. The Learning Partnership, 2021. http://dx.doi.org/10.51420/report.2021.4.

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Qubit by Qubit’s Quantum Computing Summer School is a four-week summer course for high school and university students in their first or second year of studies. The aim of the summer school is to introduce the field of Quantum Information Sciences and Engineering (QISE), specifically quantum computing. Through the course, students learn about quantum mechanics, quantum computation and information (quantum gates, circuits, and algorithms and protocols, including Grover’s Algorithm and Quantum Key Distribution), applications of quantum computing, and quantum hardware. Students also learn how to p
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Gibbs, Holly, Sahoko Yui, and Richard Plevin. New Estimates of Soil and Biomass Carbon Stocks for Global Economic Models. GTAP Technical Paper, 2014. http://dx.doi.org/10.21642/gtap.tp33.

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We synthesized a range of geographically-explicit forest, grassland and cropland biomass and soil carbon input data sources and used geographic information systems (GIS) software to calculate new estimates of soil and biomass carbon stocks for use with global economic models, particularly for the Global Trade and Analysis Project (GTAP). Our results quantify the average amount of carbon stored in soil and biomass in each of the 246 countries, stratified by agro-ecological zones (available in the accompanying spreadsheet). We also provide the data aggregated to the 134 regions defined for the G
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