Relevant bibliographies by topics / Information Enhancement

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Information Enhancement'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Information Enhancement"

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Salmanov, V. I. "INFORMATION RELIABILITY ENHANCEMENT METHODS." Chronos: natural and technical sciences 6, no. 3(36) (2021): 3–5. http://dx.doi.org/10.52013/2712-9691-36-3-1.

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Information reliability is the property of information to reflect real-world objects with the necessary accuracy. The reliability of information is an essential characteristic of any communication system. It is found that in modern network architectures of test automation systems, the main problem in the field of enhancement of the reliability of information is the creation of methods aimed at solving the problem of enhancing the reliability for «real» time systems.
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Xiong, Yan, Fang Xu, Qiang Chen, and Jun Zhang. "Speech Enhancement Using Heterogeneous Information." International Journal of Grid and High Performance Computing 10, no. 3 (2018): 46–59. http://dx.doi.org/10.4018/ijghpc.2018070104.

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This article describes how to use heterogeneous information in speech enhancement. In most of the current speech enhancement systems, clean speeches are recovered only from the signals collected by acoustic microphones, which will be greatly affected by the acoustic noises. However, heterogeneous information from different kinds of sensors, which is usually called the “multi-stream,” are seldom used in speech enhancement because the speech waveforms cannot be recovered from the signals provided by many kinds of sensors. In this article, the authors propose a new model-based multi-stream speech
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ANDREADIS, L., E. GLAVAS, and Ph TSALIDES. "Image enhancement using colour information." International Journal of Remote Sensing 16, no. 12 (1995): 2285–89. http://dx.doi.org/10.1080/01431169508954556.

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Zhang, Shichao. "Information enhancement for data mining." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1, no. 4 (2011): 284–95. http://dx.doi.org/10.1002/widm.21.

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Kamimura, Ryotaro. "Double enhancement learning for explicit internal representations: unifying self-enhancement and information enhancement to incorporate information on input variables." Applied Intelligence 36, no. 4 (2011): 834–56. http://dx.doi.org/10.1007/s10489-011-0300-5.

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Padmini Bai, D., and P. Preethi ME. "Security Enhancement of Health Information Exchange Based on Cloud Computing System." International Journal of Scientific Engineering and Research 4, no. 10 (2016): 79–82. https://doi.org/10.70729/ijser15998.

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Horvat, Sebastian, and Borivoje Dakić. "Quantum enhancement to information acquisition speed." New Journal of Physics 23, no. 3 (2021): 033008. http://dx.doi.org/10.1088/1367-2630/abe9d4.

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Li, Rong-Chang, Xiao-Jun Wu, Cong Wu, Tian-Yang Xu, and Josef Kittler. "Dynamic information enhancement for video classification." Image and Vision Computing 114 (October 2021): 104244. http://dx.doi.org/10.1016/j.imavis.2021.104244.

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Griffiths, Mary L. "Menopause Information Service: facilitating health enhancement." British Journal of Community Health Nursing 2, no. 7 (1997): 321–26. http://dx.doi.org/10.12968/bjch.1997.2.7.7284.

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Khademi, Seyran, Richard C. Hendriks, and W. Bastiaan Kleijn. "Intelligibility Enhancement Based on Mutual Information." IEEE/ACM Transactions on Audio, Speech, and Language Processing 25, no. 8 (2017): 1694–708. http://dx.doi.org/10.1109/taslp.2017.2714424.

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Dissertations / Theses on the topic "Information Enhancement"

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Chen, Fangxin. "Speaker information enhancement." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq22964.pdf.

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Ingram, Robert J. "Legibility enhancement for information visualisation." Thesis, University of Nottingham, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307802.

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Sestok, Charles K. (Charles Kasimer). "Speech enhancement with spectral magnitude side information." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80117.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (p. 43-44).<br>by Charles Kasimer Sestok, IV.<br>S.M.
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Burstein, Leah. "Legacy Student Information System: Replacement or Enhancement?" Digital Commons at Loyola Marymount University and Loyola Law School, 2016. https://digitalcommons.lmu.edu/etd/376.

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Hiriyannaiah, Santosh. "Enhancement of information management capabilities in MDO framework." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1220473735/.

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Sezgin, Emre. "Itmem - Information Technology Management Enhancement Model: Assessment Of Information Technology Use In Organizations." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612353/index.pdf.

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This study proposes a new model for the assessment of information technology (IT) use in public and private companies, which is called ITMEM- Information Technology Management Enhancement Model. This model aims to assist decision making processes in information technology management. For this purpose, a tool is developed to explore strengths and weaknesses of a company in IT use. The model was developed upon a three-folded structure including (1) academic studies in technology management, (2) best practices which are developed for control over operations and processes including COBIT, CMMI and
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Wang, Lian, and 王漣. "Mining information from XML documents for query performance enhancement." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B30497486.

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Gunturk, Bahadir K. "Multi-frame information fusion for image and video enhancement." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04072004-180015/unrestricted/gunturk%5Fbahadir%5Fk%5F200312%5Fphd.pdf.

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Mikkelä, Julius. "Should I Cyborg? - A study into public opinion on Human Enhancement Technologies." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-44369.

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Dabis, Homam Sabih. "The computer enhancement of speech signals." Thesis, University of the West of Scotland, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304636.

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Books on the topic "Information Enhancement"

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United States. Dept. of Justice. Office of Community Oriented Policing Services. Program/Policy Support and Evaluation Division. and Abt Associates, eds. Police Department Information Systems Technology Enhancement Project, ISTEP. U.S. Dept. of Justice, Office of Community Oriented Policing Services, 2000.

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L, Solon-Wetmore Jane, Kappes Sandra, and Construction Engineering Research Laboratory, eds. Recommendations for enhancement of the Design Criteria Information System (DCIS). US Army Corps of Engineers, Construction Engineering Research Laboratory, 1992.

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service), SpringerLink (Online, ed. Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer-Verlag Berlin Heidelberg, 2011.

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Agrawal, S. P. National information resources for social sciences in India: Mobolisation, dispersal, and international enhancement. Concept Pub. Co., 1992.

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W, Director Stephen. VLSI design for manufacturing: Yield enhancement. Kluwer Academic Publishers, 1990.

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J, Grasso Anthony, and Epstein Irwin, eds. Information systems in child, youth, and family agencies: Planning, implementation, and service enhancement. Haworth Press, 1993.

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Schock, Susan C. Enhancement of the HWRIC database: Year 2, with an evaluation of database content. The Center, 1988.

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Helyar, Alice. Using geographical information systems in the targeting of neutral grasslands for restoration and enhancement. Oxford Brookes University, 2001.

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Sangyōshō, Japan Keizai. 2004 developing country environmental infrastructure support project: Report of the feasibility study on the enhancement of ICT infrastructure in Java. Ministry of Economy, Trade and Industry, 2005.

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United States. Congress. Senate. Committee on Rules and Administration. Government Printing Office Electronic Information Access Enhancement Act of 1993: Report (to accompany S. 564). U.S. G.P.O., 1993.

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Book chapters on the topic "Information Enhancement"

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Lientz, Bennet P. "Operations, maintenance, and enhancement." In Information Technology Project Management. Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-0-230-34500-3_17.

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Huang, Yongzhen, and Tieniu Tan. "Enhancement via Integrating Spatial Information." In Feature Coding for Image Representation and Recognition. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45000-0_6.

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Yaroslavsky, Leonid P. "Picture Enhancement and Preparation." In Springer Series in Information Sciences. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-81929-2_8.

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Noel, Guillaume, Karim Djouani, and Yskandar Hamam. "Grid Smoothing for Image Enhancement." In Future Generation Information Technology. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17569-5_14.

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de Leoni, Massimiliano. "Foundations of Process Enhancement." In Lecture Notes in Business Information Processing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08848-3_8.

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AbstractProcess models are among the milestones for Business Process Management and Mining, and used to describe a business process or to prescribe how its instances should be carried out. It follows that they need to fulfill certain properties to be useful. If they aim to represent how the process is currently being executed, they need to be precise and recall the behavior observed in reality. If the goal is to ensure that the process is executed according to laws and regulations, its model should only allow the behavior that is valid from a domain viewpoint and provides some guarantee to ens
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Bai, Xinyi, Steffi Agino Priyanka, Hsiao-Jung Tung, and Yuankai Wang. "Bio-Inspired Night Image Enhancement Based on Contrast Enhancement and Denoising." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5230-9_9.

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Zhang, Zhixiang, and Shan Jiang. "Curve Enhancement: A No-Reference Method for Low-Light Image Enhancement." In Communications in Computer and Information Science. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8148-9_3.

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Yavary, Arefeh, Hedieh Sajedi, and Mohammad Saniee Abadeh. "Information Verification Enhancement Using Entailment Methods." In Data Science: From Research to Application. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37309-2_17.

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Cusano, Claudio, Francesca Gasparini, and Raimondo Schettini. "Image Annotation for Adaptive Enhancement of Uncalibrated Color Images." In Visual Information and Information Systems. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11590064_19.

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Ralyté, Jolita, Colette Rolland, and Véronique Plihon. "Method Enhancement with Scenario Based Techniques." In Advanced Information Systems Engineering. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48738-7_9.

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Conference papers on the topic "Information Enhancement"

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Fleischhauer, Erik, Sebastian Nagel, and Peter Jax. "Binaural Direction-of-Arrival Estimation Incorporating Head Movement Information." In 2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE, 2024. http://dx.doi.org/10.1109/iwaenc61483.2024.10694619.

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Song, Anning, Chao Tan, Jiaxi Zhang, and Zilong Xu. "Imbalanced Label Enhancement Based on Variational Information Bottleneck." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650759.

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Li, Fangfei, and Zenghao Chen. "Cross-Aggregation Based Information Re-Enhancement for Recommendation." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10651506.

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Kindt, Stijn, Jihyun Kim, Hong-Goo Kang, and Nilesh Madhu. "Efficient, Cluster-Informed, Deep Speech Separation with Cross-Cluster Information in AD-HOC Wireless Acoustic Sensor Networks." In 2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE, 2024. http://dx.doi.org/10.1109/iwaenc61483.2024.10694357.

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Zhu, Jingping. "CENet: Color Selection and Edge Enhancement Network for Underwater Image Enhancement." In 2025 IEEE 5th International Conference on Electronic Technology, Communication and Information (ICETCI). IEEE, 2025. https://doi.org/10.1109/icetci64844.2025.11083992.

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Zhang, Jinjing, Yun Zhou, Enjiang Zhu, and Jianzhi Sun. "BEENet: A Balanced Enhancement Network for Uneven Exposure Low-Light Image Enhancement." In 2024 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC). IEEE, 2024. https://doi.org/10.1109/icftic64248.2024.10913334.

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Zhang, Zhenqiang, Chuantao Li, Jian Song, et al. "STUI-NET: Semi-Supervised Transformer for Underwater Information Enhancement." In 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024. http://dx.doi.org/10.1109/icme57554.2024.10687448.

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Ling, Yuxuan, Linan Wang, Yuqing Wang, Chaoqun Hou, Jianxiong Pan, and Neng Ye. "OSMR: Open-Set Modulation Recognition Based on Information Enhancement." In 2024 International Conference on Ubiquitous Communication (Ucom). IEEE, 2024. http://dx.doi.org/10.1109/ucom62433.2024.10695925.

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Huang, Jiawei, Daiyin Zhu, Xudong Wang, Jiming Iv, and Hongren Chen. "SAR Target Feature Enhancement Using Dark Pixel Prior Information." In 2024 9th International Conference on Signal and Image Processing (ICSIP). IEEE, 2024. http://dx.doi.org/10.1109/icsip61881.2024.10671472.

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Liu, Dawei, Yueping Peng, and Xuekai Zhang. "Camouflaged object detection network based on edge information enhancement." In International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2024), edited by Xin Xu and Azlan bin Mohd Zain. SPIE, 2025. https://doi.org/10.1117/12.3061765.

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Reports on the topic "Information Enhancement"

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Serich, Scott, ed. Testbed 11 Geospatial Enhancement for the National Information Exchange Model (Geo4NIEM) Round Trip Engineering Report. Open Geospatial Consortium, Inc., 2016. http://dx.doi.org/10.62973/15-030r3.

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Martell, Richard, ed. Summary and Recommendations of the Geospatial Enhancement for the National Information Exchange Model (Geo4NIEM) Interoperabi. Open Geospatial Consortium, Inc., 2013. http://dx.doi.org/10.62973/13-054r1.

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Higgins, Paul. Societal Benefits in Weather, Water, and Climate: Understanding, Communication, and Enhancement. American Meteorological Society, 2021. https://doi.org/10.1175/societal-benefits-in-wwc-2021.

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Earth system observations, science, and services (OSS) inform and guide the activities of innumerable institutions underlying modern civilization and virtually every social and economic sector. OSS are a foundational component of efforts to meet basic human needs, including having access to food, shelter, energy, and health and safety, among others. This makes OSS a basic building block for virtually all infrastructure nationally and globally. At the same time, the opportunities for societal benefit from OSS are increasing dramatically. This study seeks to 1) characterize broadly the societal
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DELTA INFORMATION SYSTEMS INC HORSHAM PA. Expert System Enhancement to the Resource Allocation Modules of the NCS Emergency Preparedness Management Information System (EPMIS). Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada190305.

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Paschen, Marius, Felix Meier, and Wilfried Rickels. Working paper on the numerical modelling framework to compare different accounting schemes. OceanNETs, 2021. http://dx.doi.org/10.3289/oceannets_d1.1.

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Any integration of extra carbon dioxide removal (CDR) via terrestrial or marine sink enhancement into climate policies requires accounting for their effectiveness in reducing atmospheric carbon concentration and translating this information into the amount of carbon credits (to be used in official and voluntary emission trading schemes). Here, we assess accounting schemes in their appropriateness of assigning carbon credits. We discuss the role of temporary carbon storage and present the various ccounting methods for carbon credit assignment. We explain how we have implemented the methods nume
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Peach, David. Multitier specification for NSEP enhancement of fiber optic long-distance telecommunication networks, Volume II: Multitier Specification Background and Technical Support Information. Institute for Telecommunication Sciences, 1987. https://doi.org/10.70220/5c497wqf.

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Garton, Timothy. Data enrichment and enhanced accessibility of waterborne commerce numerical data : spatially depicting the National Waterway Network. Engineer Research and Development Center (U.S.), 2020. http://dx.doi.org/10.21079/11681/39223.

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This report provides methodologies and processes of data enrichment and enhanced accessibility of Waterborne Commerce and Statistics Center (WCSC) maintained databases. These databases house tabular and statistical data that reports on The U.S. Army Corps of Engineers (USACE) Civil Works Division National Waterway Network (NWN), which geospatially represents approximately 1,000 harbors and 25,000 miles of channels and waterways. WCSC is a division of The Institute for Water Resources (IWR). They have been tasked with the international collection, maintenance, and archival of all records involv
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Halevy, Orna, Zipora Yablonka-Reuveni, and Israel Rozenboim. Enhancement of meat production by monochromatic light stimuli during embryogenesis: effect on muscle development and post-hatch growth. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7586471.bard.

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The original objectives were: A. To determine the critical embryonic age for monochromatic green light stimulation. B. To follow the ontogeny of embryos exposed to monochromatic green light vs. darkness. C. To investigate the effects of monochromatic green light illumination on myoblast and fiber development in the embryo. D. To investigate the stimulatory effect of light combinations during embryo and post-hatch periods on growth and meat production. E. To evaluate the direct effect of monochromatic green light on cultured embryonic and adult myoblasts. The overall purpose of this study was t
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Droby, Samir, Michael Wisniewski, Martin Goldway, Wojciech Janisiewicz, and Charles Wilson. Enhancement of Postharvest Biocontrol Activity of the Yeast Candida oleophila by Overexpression of Lytic Enzymes. United States Department of Agriculture, 2003. http://dx.doi.org/10.32747/2003.7586481.bard.

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Enhancing the activity of biocontrol agents could be the most important factor in their success in controlling fruit disease and their ultimate acceptance in commercial disease management. Direct manipulation of a biocontrol agent resulting in enhancement of diseases control could be achieved by using recent advances in molecular biology techniques. The objectives of this project were to isolate genes from yeast species that were used as postharvest biocontrol agents against postharvest diseases and to determine their role in biocontrol efficacy. The emphasis was to be placed on the yeast, Can
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Sinclair, Samantha, and Sandra LeGrand. Reproducibility assessment and uncertainty quantification in subjective dust source mapping. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41523.

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Accurate dust-source characterizations are critical for effectively modeling dust storms. A previous study developed an approach to manually map dust plume-head point sources in a geographic information system (GIS) framework using Moderate Resolution Imaging Spectroradiometer (MODIS) imagery processed through dust-enhancement algorithms. With this technique, the location of a dust source is digitized and recorded if an analyst observes an unobscured plume head in the imagery. Because airborne dust must be sufficiently elevated for overland dust-enhancement algorithms to work, this technique m
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