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Relevant bibliographies by topics / Information Enhancement

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Academic literature on the topic 'Information Enhancement'

Author: Grafiati

Published: 9 March 2023

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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) (October 3, 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 (July 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 enhancement framework that can make use of the heterogeneous information provided by the signals from different kinds of sensors even when some of them are not directly related to the speech waveform. Then a new speech enhancement scheme using the acoustic and throat microphone recordings is also proposed based on the new speech enhancement framework. Experimental results show that the proposed scheme outperforms several single-stream speech enhancement methods in different noisy environments.

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ANDREADIS, L., E. GLAVAS, and Ph TSALIDES. "Image enhancement using colour information." International Journal of Remote Sensing 16, no. 12 (August 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 (April 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 (May 24, 2011): 834–56. http://dx.doi.org/10.1007/s10489-011-0300-5.

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Barod, Sandeep, Deepak Pancholi, and Mukesh Patidar. "Performance Enhancement of Information Hiding in FM and AM with Rician Channel." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 1123–27. http://dx.doi.org/10.31142/ijtsrd5773.

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Horvat, Sebastian, and Borivoje Dakić. "Quantum enhancement to information acquisition speed." New Journal of Physics 23, no. 3 (March 1, 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 (July 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 (August 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.
Includes bibliographical references (p. 43-44).
by Charles Kasimer Sestok, IV.
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 ITIL, and (3) standards about IT management and IT security. The conceptual framework of ITMEM is based on technology management process assessment model of M.J. Gregory. Methodological triangulation approach is adopted for the model for retrieving valid and reliable results. Triangulation consists of (1) semi structured interview, (2) presented company documents and (3) questionnaire developed upon relevant academic researches, best practices and standards. ITMEM was practiced on ten domestic and experienced companies in software &
development and manufacturing industries which were appraised in or in progress of being appraised in CMMI. The study revealed the benefits and deficiencies of IT use in the company. It also provided information for decision makers about IT value within companies, and demonstrated the effects of best practices and standards over IT use.The reported findings should be valuable assets to researchers studying on IT management and IT use in organizations.

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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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Moira, Monteith, ed. IT for learning enhancement. Exeter, England: Intellect, 2000.

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Moira, Monteith, ed. IT for learning enhancement. Lisse, The Netherlands: Swets & Zeitlinger Publishers, 1998.

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

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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). Champaign, Ill: US Army Corps of Engineers, Construction Engineering Research Laboratory, 1992.

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

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

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Rainer, Martin, ed. Digital speech transmission: Enhancement, coding, and error concealment. Chichester, West Sussex, England: Wiley, 2005.

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

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1967-, Bapat Vivek, and Hall Bill 1944-, eds. Call center performance enhancement using simulation and modeling. West Lafayette, Ind: Ichor Business Books, 1999.

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

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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, 316–32. London: 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, 47–58. Berlin, Heidelberg: 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, 211–40. Berlin, Heidelberg: 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, 125–35. Berlin, Heidelberg: 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, 243–73. Cham: 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 ensure good performance level. Process enhancement is the type of Process Mining that aims at models that fulfill these properties, and the literature further splits it into two subfields: process extension and process improvement. Process extension aims to incorporate the process perspectives on data, decision, resources and time into the model: their inclusion in process models enable designers to fine-tune the model specifications, thus obtaining models with higher levels of precision. Process improvement passes through an “improved” process model. If the model contains portions of behavior that lead to unsatisfactory outcomes (high costs, low customer satisfactions, etc.) or that violate norms and regulations, one would like those portions to be disallowed by the model. In case some executions are observed in reality and are not allowed by the model, they should be incorporated into the model if they are observed to generally yield good performances. This chapter discusses these two types of process enhancement, and illustrates some basic and some advanced techniques to tackle it, highlighting the pros and cons, and the underlaying assumptions.

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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, 82–90. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5230-9_9.

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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, 217–25. Cham: 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, 216–25. Berlin, Heidelberg: 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, 103–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48738-7_9.

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Abel, Fabian, Nicola Henze, Daniel Krause, and Matthias Kriesell. "Semantic Enhancement of Social Tagging Systems." In Annals of Information Systems, 25–54. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-1219-0_2.

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Conference papers on the topic "Information Enhancement"

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Chen, Fangxin. "Speaker information enhancement." In 6th International Conference on Spoken Language Processing (ICSLP 2000). ISCA: ISCA, 2000. http://dx.doi.org/10.21437/icslp.2000-188.

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Ong, Simying, and KokSheik Wong. "Information Hiding In Image Enhancement." In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9191093.

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Huang, Guangpu, Toni Heittola, and Tuomas Virtanen. "Using Sequential Information in Polyphonic Sound Event Detection." In 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC). IEEE, 2018. http://dx.doi.org/10.1109/iwaenc.2018.8521367.

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Yegnanarayana, Mahadeva Prasanna, and Sreenivasa Rao. "Speech enhancement using excitation source information." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1005796.

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Yegnanarayana, B., S. R. Mahadeva Prasanna, and K. Sreenivasa Rao. "Speech enhancement using excitation source information." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5743774.

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Cao, Gang, Lifang Yu, Huawei Tian, Xianglin Huang, and Yongbin Wang. "Fast mutual-information-based contrast enhancement." In Ninth International Conference on Digital Image Processing (ICDIP 2017), edited by Charles M. Falco and Xudong Jiang. SPIE, 2017. http://dx.doi.org/10.1117/12.2281592.

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Klima, Milos, Karel Fliegel, and Jan Svihlik. "Quality Enhancement in Security Image Information." In Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology. IEEE, 2006. http://dx.doi.org/10.1109/ccst.2006.313430.

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Tai, Shen-Chuan, Zih-Siou Chen, Yi-Ying Chang, Tzu-Wen Liao, Yi-Ying Chang, and Juo-Chen Chen. "Sharpness Enhancement Algorithm through Edge Information." In 2012 Fifth International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2012. http://dx.doi.org/10.1109/icicta.2012.121.

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Nishida, S. "Speech recognition enhancement by lip information." In the SIGCHI conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/22627.22371.

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Srinivasan, Sriram, Jonas Samuelsson, and W. Bastiaan Kleijn. "Speech enhancement using a-priori information." In 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA: ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-243.

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Reports on the topic "Information Enhancement"

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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). Fort Belvoir, VA: Defense Technical Information Center, January 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, December 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 numerically and analyse carbon assignments across the different accounting schemes, using stylized, model-based ocean sink enhancement experiments.

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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, November 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, Candida oleophila, which was jointly discovered and developed in our laboratories, and commercialized as the product, Aspire. The general plan was to develop a transformation system for C . oleophila and either knockout or overexpress particular genes of interest. Additionally, biochemical characterization of the lytic peptides was conducted in the wild-type and transgenic isolates. In addition to developing a better understanding of the mode of action of the yeast biocontrol agents, it was also our intent to demonstrate the feasibility of enhancing biocontrol activity via genetic enhancement of yeast with genes known to code for proteins with antimicrobial activity. Major achievements are: 1) Characterization of extracellular lytic enzymes produced by the yeast biocontrol agent Candida oleophila; 2) Development of a transformation system for Candida oleophila; 3) Cloning and analysis of C.oleophila glucanase gene; 4) Overexpression of and knockout of C. oleophila glucanase gene and evaluating its role in the biocontrol activity of C. oleophila; 5) Characterization of defensin gene and its expression in the yeast Pichiapastoris; 6) Cloning and Analysis of Chitinase and Adhesin Genes; 7) Characterization of the rnase secreted by C . oleophila and its inhibitory activity against P. digitatum. This project has resulted in information that enhanced our understanding of the mode of action of the yeast C . oleophila. This was important step towards enhancing the biocontrol activity of the yeast. Fungal cell wall enzymes produced by the yeast antagonist were characterized. Different substrates were identified to enhance there production in vitro. Exo-b-1, 3 glucanase, chitinase and protease production was stimulated by the presence of cell-wall fragments of Penicillium digitatum in the growing medium, in addition to glucose. A transformation system developed was used to study the role of lytic enzymes in the biocontrol activity of the yeast antagonist and was essential for genetic manipulation of C . oleqphila. After cloning and characterization of the exo-glucanase gene from the yeast, the transformation system was efficiently used to study the role of the enzyme in the biocontrol activity by over-expressing or knocking out the activity of the enzyme. At the last phase of the research (still ongoing) the transformation system is being used to study the role of chitinase gene in the mode of action. Knockout and over expression experiments are underway.

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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, June 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 to investigate the effect of monochromatic light stimuli during incubation period of broilers on muscle development and satellite cell myogenesis. Based on previous studies (Halevy et al., 1998; Rozenboim et al., 1999) that demonstrated the positive effects of green-light illumination on body and muscle growth, we hypothesized that monochromatic light illumination accelerates embryo and muscle development and subsequently enhances muscle growth and meat production. Thus, further decreases management costs. Under the cooperation of the laboratories at the Hebrew University of Jerusalem and University of Washington we have conducted the following: 1. We have established the critical stage for exposure to green monochromatic light which has the maximal effect on body and muscle growth (Objective A). We report that embryonic day 5 is optimal for starting illumination. The optimal regime of lighting that will eliminate possible heat effects was evaluated by monitoring egg core temperature at various illumination periods. We found that intermitted lighting (15 min. on; 15 min. off) is optimal to avoid heat effects. 2. We have evaluated in detail gross changes in embryo development profile associated to green light stimuli vs. darkness. In addition, we have investigated the stimulatory effect of light combinations during embryo and post-hatch periods on body and muscle growth (Objective B,D). 3. We have studied the expression profile of muscle regulatory proteins during chicken muscle cell differentiation in cultures using newly developed antibodies. This study paved the way for analyzing the expression of these proteins in our photo stimulation experiments (Objective C). 4. We have studied the pattern ofPax7 expression during myogenesis in the posthatch chicken. Experimental chick pectoralis muscles as well adult myoblast cultures were used in this study and the results led us to propose a novel model for satellite cell differentiation and renewal. 5. The effects of monochromatic green light illumination during embryogenesis have been studied. These studies focused on fetal myoblast and satellite cell proliferation and differentiation at pre- and posthatch periods and on the effects on the expression of muscle regulatory proteins which are involved in these processes. In addition, we have analyzed the effect of photo stimulation in the embryo on myofiber development at early posthatch (Objective C). 6. In follow the reviewers' comments we have not conducted Objective E. The information gathered from these studies is of utmost importance both, for understanding the molecular basis of muscle development in the posthatch chicks and for applied approach for future broiler management. Therefore, the information could be beneficial to agriculture in the short term on the one hand and to future studies on chick muscle development in the embryo and posthatch on the other hand.

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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.), December 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 involving commercial movements and commerce that occur on federal waterways. The current records structure is a large, tabular dataset and limited to the systems and processes put in place prior to the computing standards and capabilities available today. Methods have been tested and utilized to bring the tabular datasets into an optimized, modern geospatial network and expanded upon to create a higher resolution than previously maintained by the WCSC. This report will expand upon the applied methodologies to optimize data queries and the overall enhancement of the data system to allow for linkages to various other sources of information for commerce data enhancement for decision support assistance.

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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.), August 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 may include up to 10 km in digitized dust-source location error due to downwind advection. However, the potential for error in this method due to analyst subjectivity has never been formally quantified. In this study, we evaluate a version of the methodology adapted to better enable reproducibility assessments amongst multiple analysts to determine the role of analyst subjectivity on recorded dust source location error. Four analysts individually mapped dust plumes in Southwest Asia and Northwest Africa using five years of MODIS imagery collected from 15 May to 31 August. A plume-source location is considered reproducible if the maximum distance between the analyst point-source markers for a single plume is ≤10 km. Results suggest analyst marker placement is reproducible; however, additional analyst subjectivity-induced error (7 km determined in this study) should be considered to fully characterize locational uncertainty. Additionally, most of the identified plume heads (> 90%) were not marked by all participating analysts, which indicates dust source maps generated using this technique may differ substantially between users.

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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.), August 2021. http://dx.doi.org/10.21079/11681/41542.

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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 may include up to 10 km in digitized dust-source location error due to downwind advection. However, the potential for error in this method due to analyst subjectivity has never been formally quantified. In this study, we evaluate a version of the methodology adapted to better enable reproducibility assessments amongst multiple analysts to determine the role of analyst subjectivity on recorded dust source location error. Four analysts individually mapped dust plumes in Southwest Asia and Northwest Africa using five years of MODIS imagery collected from 15 May to 31 August. A plume-source location is considered reproducible if the maximum distance between the analyst point-source markers for a single plume is ≤10 km. Results suggest analyst marker placement is reproducible; however, additional analyst subjectivity-induced error (7 km determined in this study) should be considered to fully characterize locational uncertainty. Additionally, most of the identified plume heads (> 90%) were not marked by all participating analysts, which indicates dust source maps generated using this technique may differ substantially between users.

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Katzir, Nurit, James Giovannoni, Marla Binzel, Efraim Lewinsohn, Joseph Burger, and Arthur Schaffer. Genomic Approach to the Improvement of Fruit Quality in Melon (Cucumis melo) and Related Cucurbit Crops II: Functional Genomics. United States Department of Agriculture, January 2010. http://dx.doi.org/10.32747/2010.7592123.bard.

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Background: Genomics tools for enhancement of melon research, with an emphasis on fruit, were developed through a previous BARD project of the PIs (IS -333-02). These included the first public melon EST collection, a database to relay this information to the research community and a publicly available microarray. The current project (IS-3877- 06) aimed to apply these tools for identification of important genes for improvement of melon (Cucumis melo) fruit quality. Specifically, the research plans included expression analysis using the microarray and functional analyses of selected genes. The original project objectives, as they appeared in the approved project, were: Objective 1: Utilization of a public melon microarray developed under the existing project to characterize melon transcriptome activity during the ripening of normal melon fruit (cv. Galia) in order to provide a basis for both a general view of melon transcriptome activity during ripening and for comparison with existing transcriptome data of developing tomato and pepper fruit. Objective 2: Utilization of the same public melon microarray to characterize melon transcriptome activity in lines available in the collection of the Israeli group, focusing on sugar, organic acids and aroma metabolism, so as to identify potentially useful candidates for functional analysis and possible manipulation, through comparison with the general fruit development profile resulting from (1) above. Objective 3: Expansion of our existing melon EST database to include publicly available gene expression data and query tools, as the US group has done with tomato. Objective 4: Selection of 6-8 candidate genes for functional analysis and development of DNA constructs for repression or over-expression. Objective 5: Creation of transgenic melon lines, or transgenic heterologous systems (e.g. E. coli or tomato), to assess putative functions and potential as tools for molecular enhancement of melon fruit quality, using the candidate gene constructs from (4).

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Wurstner, S. K., and J. L. Devary. Hanford Site ground-water model: Geographic information system linkages and model enhancements, FY 1993. Office of Scientific and Technical Information (OSTI), December 1993. http://dx.doi.org/10.2172/10115657.

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Keller, David P. Quantification of “constrained” potential of ocean NETs. OceanNets, 2022. http://dx.doi.org/10.3289/oceannets_d4.1.

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This study uses an existing perturbed parameter ensemble (PPE) of simulated ocean CO2 removal (CDR) to better determine sustainable pathways of ocean-based NET deployment and to provide information to constrain the design of subsequent modelling experiments. The results show that ocean alkalinity enhancement (OAE) can only help meet SDG13 (Climate Action) when other ambitious mitigation efforts are taken. This reinforces that OAE is not a substitute for emissions reduction, but could contribute to meeting our climate goals (if other factors suggest OAE is worth doing). For SDG14 (Life Below Water), the results suggest OEA can contribute to limiting or even reversing ocean acidification. Meeting many other SDG14 objectives is closely linked to also meeting SDG13. A key recommendation is therefore, that subsequent simulations in OceanNETs should only use SDG13 compatible baseline scenarios, unless there is some specific need for process understanding at higher levels of climate change. The analysis has also determined that the idealized CDR in the PPE is not suitable for determining many socio-economic constraints and the implications that these have for meeting the SDGs. Another key recommendation is therefore, that subsequent simulations within OceanNETs should use more realistic scenarios of CDR deployment.

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