--- layout: post title: Why people with nothing to hide should champion privacy date: 2006-05-22 00:00:00 category: social ---
Why people with nothing to hide should champion privacy, an article linked from the IdealGovernment weblog which contains a lovely quote fromn Cardinal Richelieu: ""If one would give me six lines written by the hand of the most honest man, I would find something in them to have him hanged.""


Associate Professor, STEM Education
Department of Theory and Practice in Teacher Education
Faculty Fellow, Center for Enhancing Education in Mathematics and Sciences
The University of Tennessee, Knoxville
420 Claxton, 1122 Volunteer Blvd., Knoxville, TN 37996
865-974-5973 |<EMAIL_ADDRESS>Homepage: https://joshuamrosenberg.com
Google Scholar: https://scholar.google.com/citations?hl=en&user=nxVowRQAAAAJ
Educational data science, science education, educational technology
2018, PhD, Educational Psychology & Educational Technology
Michigan State University
2012, MA, Education
Michigan State University
2010, BS, Biology
University of North Carolina, Asheville
2016, Graduate Certificate, Science Education
Michigan State University
2010, Educator’s License - Science and Biology, Teacher Licensure Program
University of North Carolina, Asheville
2023-present, Associate Professor, STEM Education
University of Tennessee, Knoxville
2018-2023, Assistant Professor, STEM Education
University of Tennessee, Knoxville
2012-2018, Graduate Research and Teaching Assistant
Michigan State University
2010-2012, Science Teacher (Biology and Earth Science)
Shelby High School, Shelby, NC
2009-2010, Science Teacher Intern (Biology and Chemistry)
C.D. Owen High School, Swannanoa, NC
2023-2028, PI, CAREER: Creatively Reimagining Engagements with Data in Biology Learning Environments, ($846,612), NSF. NSF Grant No. 2239152.
2022-2025, Co-PI, Computer Science for Appalachia: Expanding a research-practice partnership to integrate computer science and literacy in rural East Tennessee schools, ($999,980; with PI Lynn Hodge). NSF. NSF Grant No. 2219418.
2022-2024, Co-PI, Broadening participation in introductory computer science: investigating self-assessment practices for increasing student learning and self-efficacy in two institutional contexts ($299,836; with PI Alex Lishinski). NSF. NSF Grant No. 2215245
2022-2023, Co-PI, Launching a Micro-credential in Educational Data Analytics ($10,000; with Co-PI Louis Rocconi). University of Tennessee, Knoxville’s College of Education, Health, and Human Sciences Strategic Investment Program.
2018-2020, Co-PI, Exploring how beginning elementary mathematics teachers seek out resources through social media ($8,820; PI: Stephen Aguilar). Herman & Rasiej K-5 Mathematics Initiative, University of Southern California.
2020-2023, Senior Personnel, Learning analytics in STEM education research institute ($933,150; PI, Shaun Kellogg, North Carolina State University; UTK subcontract: $62,870. National Science Foundation (NSF), NSF Grant No. 2025090
2019-2022, Senior Personnel, Medical entomology and geospatial analyses: Bringing innovation to teacher education and surveillance studies ($149,611; PI: Rebecca Trout Fryxell). United States Department of Agriculture - Agriculture and Food Research Initiative. (USDA Grant No. 2019-68010-29119) https://www.megabitess.org/
2023, Research Worth Reading Award, Research in Artificial Intelligence in Science Eduation Research Interest Group, National Association for Research in Science Teaching
2023, Outstanding Graduate Research Mentor Award, Graduate Student Senate, University of Tennessee, Knoxville
2022, Early Career Award, Technology as an Agent of Change in Teaching and Learning (TACTL) Special Interest Group (SIG), American Educational Research Association (AERA)
2021, Best Poster Award, Fourteenth International Conference on Educational Data Mining
2021-2022, Open Educational Resources (OER) Research Fellow, William and Flora Hewlett Foundation
2021, Louie M. & Betty M. Phillips Faculty Support in Education Award, University of Tennessee, Knoxville (UTK)
2021, Mentor, Summer Undergraduate Research Internship Program, Office of Undergraduate Research, UTK
2020, Research Assistant Award, Office of Undergraduate Research, UTK
2020, Southeastern Conference (SEC) Visiting Faculty Travel Grant Program (Host: Annelise Russell, Martin School of Public Policy, University of Kentucky)
2019-2020, Initiative for the Future Faculty Development Program, UTK
2019, Finalist, Association for Science Teacher Education John C. Park National Technology Leadership Institute Fellowship
2017, Delia Koo Global Travel Fellowship, Michigan State University (MSU)
2017, Michigan Virtual Learning Research Institute Dissertation Fellowship
2017, Concord Consortium Data Science Educational Technology Fellowship
2017, Council of Graduate Students Disciplinary Leadership Award, MSU
2016, College of Education Alumni Fellowship, MSU
2016, Best Paper Award, Technological Pedagogical Content Knowledge SIG, Society for Information Technology and Teacher Education International Conference
2015, Cotterman Family Endowment for Education Summer Research Fellowship, MSU
2014, Outstanding Paper Award, Society for Information Technology and Teacher Education International Conference
2013, Massive Open Online Course Research and Development Fellowship, MSU
2009-2012, Burroughs Wellcome Fund Scholar, University of North Carolina, Asheville
+ Denotes a collaboration with a mentee who is a graduate student
^ Denotes a collaboration with a mentee who is an undergraduate student
=2em Rosenberg, K., & Rosenberg, J. M. (under contract). Little kids, big adventures: Exploring the Cumberland Plateau, Tennessee Valley, and Great Smoky Mountains with kids. University of Tennessee Press. https://littlekidsbigadventures.com/
=2em Estrellado, R. A., Freer, E. A., Mostipak, J., Rosenberg, J. M., & Velásquez, I. C. (2020). Data science in education using R. Routledge. Note. All authors contributed equally. http://www.datascienceineducation.com/
=2em Rosenberg, J.M. (in press). Open and Useful? Exploring the Science Education Resources on OER Commons. Contemporary Issues in Technology and Teacher Education. https://osf.io/preprints/9adhp/
=2em Carpenter, J. P., Morrison, S. A., Rosenberg, J. M., & Hawthorne, K. A. (advance online publication). Using social media in pre-service teacher education: The case of a program-wide twitter hashtag. Teaching and Teacher Education, 124, 1-17.
=2em Rosenberg, J., ^Borchers, C., Stegenga, S. M., ^Burchfield, M. A., Anderson, D., & Fischer, C. (2022). How educational institutions reveal students’ personally identifiable information on Facebook. Learning, Media, & Technology. https://www.tandfonline.com/doi/full/10.1080/17439884.2022.2140672
=2em Rosenberg, J. M., ^Borchers, C., ^Burchfield, M. A., Anderson, D., Stegenga, S. M., & Fischer, C. (2022). Posts About Students on Facebook: A Data Ethics Perspective. Educational Researcher, 51(8), 547-550.
=2em Kubsch, M., Krist, C., & Rosenberg, J. M. (2022). Distributing Epistemic Functions and Tasks - A framework for augmenting human analytic power with machine learning in science education research. Journal of Research in Science Teaching. https://onlinelibrary.wiley.com/doi/full/10.1002/tea.21803. Note. All authors contributed equally. This paper received the 2023 Research Worth Reading Award for the Research in Artificial Intelligence in Science Eduation Research Interest Group, National Association for Research in Science Teaching.
=2em Rosenberg, J. M., Kubsch, M., Wagenmakers, E.-J., & Dogucu, M. (2022). Making sense of uncertainty in the science classroom: A Bayesian approach. Science & Education, 31, 1239–1262. https://link.springer.com/article/10.1007/s11191-022-00341-3
=2em Jones. R. S., & Rosenberg, J. M. (2022). Characterizing whole class discussions about data and statistics with conversation profile analysis. Journal of Mathematical Behavior, 67, 1-16. https://www.sciencedirect.com/science/article/abs/pii/S0732312322000645
=2em Rosenberg, J. M., Schultheis, E., Kjelvik, M., Reedy, A., & +Sultana, O. (2022). Big data, big changes? A survey of K-12 science teachers in the United States on which data sources and tools they use in the classroom. British Journal of Educational Technology, 53(5), 1179-1201. https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.13245
=2em +Michela, E., Rosenberg, J., Kimmons, R., +Sultana, O., ^Burchfield, M. A., & ^Thomas, T. (2022). “We are trying to communicate the best we can”: Understanding districts’ communication on Twitter during the COVID-19 pandemic. AERA Open, 8, 1-18. https://doi.org/10.1177/23328584221078542
=2em Trout Fryxell, R. T., Camponovo, M., Smith, B., Butefish, K., Rosenberg, J. M., Andsager, J. L., … & Willis, M. P. (2022). Development of a community-driven mosquito surveillance program for vectors of La Crosse virus to educate, inform, and empower a community. Insects, 13(2), 164. https://www.mdpi.com/2075-4450/13/2/164
=2em Rutherford, T., Duck, K., Rosenberg, J. M., & Patt, R. (2022). Leveraging mathematics software data to understand student learning and motivation during the COVID-19 pandemic. Journal of Research on Technology in Education, 54(1), 94-131. https://www.tandfonline.com/doi/full/10.1080/15391523.2021.1920520
=2em Aguilar, S. J., Rosenberg, J., Greenhalgh, S., Fütterer, T., Lishinski, A., & Fischer, C. (2021). A different experience in a different moment? Teachers’ social media use before and during the COVID-19 pandemic. AERA Open, 7, 1-17. https://journals.sagepub.com/doi/full/10.1177/23328584211063898
=2em +Lawson, M. A., Herrick, I., R., & Rosenberg, J. M. (2021). Better together: Mathematics and science pre-service teachers’ sensemaking about STEM. Educational Technology & Society, 24(4), 180–192.
=2em Schweinsburg, M., … Luis, S. (2021). Same data, different conclusions: Radical dispersion in empirical results. Organizational Behavior and Human Decision Processes, 165(7), 228-249. https://www.sciencedirect.com/science/article/pii/S0749597821000200 (Note. I was an author and contributor to this large-scale, collaborative project.)
=2em Greenhalgh, S. P., Rosenberg, J. M., & Russell, A. (2021). The influence of policy and context on teachers’ social media use. The British Journal of Educational Technology, 52(5), 2020-2037. https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.13096?af=R
=2em Frank, K. A., Lin, Q., Maroulis, S., Strassman, A., Xu, R., Rosenberg, J. M., Hayter, C., Mahmoud, R., Kolak, M., Dietz, T., & Zhang, L. (2021). Hypothetical case replacement can be used to quantify the robustness of trial results. Journal of Clinical Epidemiology, 134(6), 150-159. https://www.sciencedirect.com/science/article/pii/S0895435621000366 Note. I was a scientific programmer for this project.
=2em Rosenberg, J. M. (2018). Context and Technological Pedagogical Content Knowledge: An initial survey of teachers and validation data. https://osf.io/hc9fq/
=2em Rosenberg, J. M. (2018). Understanding work with data in summer STEM programs: An experience sampling method approach (Doctoral dissertation). Retrieved from Proquest Dissertations and Theses. (Proquest No. 10747232)
=2em Rosenberg, J. M., ^Borchers, C., Dyer, E., Anderson, D. J., & Fischer, C. (2021). Advancing new methods for understanding public sentiment about educational reforms: The case of Twitter and the Next Generation Science Standards. AERA Open, 7, 1-17. https://journals.sagepub.com/doi/10.1177/23328584211024261
=2em Hu, A. D., Greenhalgh, S. P. Rosenberg, J. M., & Staudt-Willet, B. (March, 2023). What ChatGPT is, how it is impacting universities, and how might we make “good” use of it.. Panel presentation at the Michigan State University College of Education. Michigan State University, East Lansing, MI.
=2em Rosenberg, J. M. (April, 2021). AI and ML and data! Oh my! Supporting teachers’ and learners’ work by considering the human sides of data science. Keynote presentation at the LEAD Graduate School and Research Network retreat. The University of Tübingen, Baden-Württemberg, Germany.
Rosenberg, J. M. (October, 2021). All together now: Leveraging data science techniques alongside traditional approaches to understand learning. Invited presentation at the International Conference on Education Research. Seoul National University, Seoul, South Korea.
=2em Rosenberg, J. M. (February, 2020). Studying education-focused Twitter hashtags in light of state-based and national policies and practices. Presentation at the 2020 Spring Seminar Series at the Martin School of Public Policy at the University of Kentucky, Lexington, KY.
=2em Rosenberg, J.M. (September, 2019). Making data science education count: Exploring the integration of data science into education. Presentation at the Middle Tennessee State University Mathematics and Science Education Doctoral Seminar series. Middle Tennessee State University, Murfreesboro, TN.
=2em Rosenberg, J. M. (February, 2019). Making sense of recent advances in the Technological Pedagogical Content Knowledge framework. English International Congress at the Universidad Técnica del Norte, Ibarra, Ecuador.
2021-, Co-host, About Practice podcast, https://anchor.fm/about-practice
2018-2019, Co-host, Impodster Syndrome podcast, https://drive.google.com/drive/folders/1fwSaEKt9QzJPUlf-CYVVwPgN-pKBaAkW?usp=sharing
Dyer, E. B., Reid, J., & Rosenberg, J. M. (2021, January 7). Science Education & Democracy [Synchronous Twitter Chat]. #NGSSchat.
Dyer, E. B., McKenna, T. J., & Rosenberg, J. M. (2020, December 3). Who are the Experts Here? [Synchronous Twitter Chat]. #NGSSchat.
Rosenberg, J. M., McKenna, T. J., & Dyer, E. B. (2020, June 18). Exploring the Impact of Our Community [Synchronous Twitter Chat]. #NGSSchat. https://wke.lt/w/s/rqTNhr
American Educational Research Association, 2012 - Present
International Society of the Learning Sciences, 2014 - Present
Learning Analytics & Knowledge, 2020 - Present
National Association for Research in Science Teaching, 2015 - Present


Vim documentation: ft_ada
main help file*ft_ada.txt* For Vim version 7.2. Last change: 2008 Jun 21 ADA FILE TYPE PLUG-INS REFERENCE MANUAL ADA *ada.vim* 1. Syntax Highlighting |ft-ada-syntax| 2. Plug-in |ft-ada-plugin| 3. Omni Completion |ft-ada-omni| 3.1 Omni Completion with "gnat xref" |gnat-xref| 3.2 Omni Completion with "ctags" |ada-ctags| 4. Compiler Support |ada-compiler| 4.1 GNAT |compiler-gnat| 4.1 Dec Ada |compiler-decada| 5. References |ada-reference| 5.1 Options |ft-ada-options| 5.2 Functions |ft-ada-functions| 5.3 Commands |ft-ada-commands| 5.4 Variables |ft-ada-variables| 5.5 Constants |ft-ada-constants| 8. Extra Plug-ins |ada-extra-plugins|
1. Syntax Highlighting *ft-ada-syntax* This mode is designed for the 2005 edition of Ada ("Ada 2005"), which includes support for objected-programming, protected types, and so on. It handles code written for the original Ada language ("Ada83", "Ada87", "Ada95") as well, though code which uses Ada 2005-only keywords will be wrongly colored (such code should be fixed anyway). For more information about Ada, see http://www.adapower.com. The Ada mode handles a number of situations cleanly. For example, it knows that the "-" in "-5" is a number, but the same character in "A-5" is an operator. Normally, a "with" or "use" clause referencing another compilation unit is coloured the same way as C's "#include" is coloured. If you have "Conditional" or "Repeat" groups coloured differently, then "end if" and "end loop" will be coloured as part of those respective groups. You can set these to different colours using vim's "highlight" command (e.g., to change how loops are displayed, enter the command ":hi Repeat" followed by the colour specification; on simple terminals the colour specification ctermfg=White often shows well). There are several options you can select in this Ada mode. See|ft-ada-optionsYXXY for a complete list. To enable them, assign a value to the option. For example, to turn one on: > let g:ada_standard_types = 1 To disable them use ":unlet". Example: > unlet g:ada_standard_types You can just use ":" and type these into the command line to set these temporarily before loading an Ada file. You can make these option settings permanent by adding the "let" command(s), without a colon, to your "~/.vimrc" file. Even on a slow (90Mhz) PC this mode works quickly, but if you find the performance unacceptable, turn on |g:ada_withuse_ordinary|. Syntax folding instructions (|fold-syntax|) are added when |g:ada_folding| is set.
2. File type Plug-in *ft-ada-indent* *ft-ada-plugin* The Ada plug-in provides support for: - auto indenting (|indent.txt|) - insert completion (|i_CTRL-N|) - user completion (|i_CTRL-X_CTRL-U|) - tag searches (|tagsrch.txt|) - Quick Fix (|quickfix.txt|) - backspace handling (|'backspace'|) - comment handling (|'comments'|, |'commentstring'|) The plug-in only activates the features of the Ada mode whenever an Ada files is opened and add adds Ada related entries to the main and pop-up menu.
3. Omni Completion *ft-ada-omni* The Ada omni-completions (|i_CTRL-X_CTRL-O|) uses tags database created either by "gnat xref -v" or the "exuberant Ctags http://ctags.sourceforge.net. The complete function will automatically detect which tool was used to create the tags file. ------------------------------------------------------------------------------ 3.1 Omni Completion with "gnat xref" *gnat-xref* GNAT XREF uses the compiler internal information (ali-files) to produce the tags file. This has the advantage to be 100% correct and the option of deep nested analysis. However the code must compile, the generator is quite slow and the created tags file contains only the basic Ctags information for each entry - not enough for some of the more advanced Vim code browser plug-ins. NOTE: "gnat xref -v" is very tricky to use as it has almost no diagnostic output - If nothing is printed then usually the parameters are wrong. Here some important tips: 1) You need to compile your code first and use the "-aO" option to point to your .ali files. 2) "gnat xref -v ../Include/adacl.ads" won't work - use the "gnat xref -v -aI../Include adacl.ads" instead. 3) "gnat xref -v -aI../Include *.ad?" won't work - use "cd ../Include" and then "gnat xref -v *.ad?" 4) Project manager support is completely broken - don't even try "gnat xref -Padacl.gpr". 5) VIM is faster when the tags file is sorted - use "sort --unique --ignore-case --output=tags tags" . 6) Remember to insert "!_TAG_FILE_SORTED 2 %sort ui" as first line to mark the file assorted. ------------------------------------------------------------------------------ 3.2 Omni Completion with "ctags" *ada-ctags* Exuberant Ctags uses its own multi-language code parser. The parser is quite fast, produces a lot of extra information (hence the name "Exuberant Ctags") and can run on files which currently do not compile. There are also lots of other Vim-tools which use exuberant Ctags. You will need to install a version of the Exuberant Ctags which has Ada support patched in. Such a version is available from the GNU Ada Project http://gnuada.sourceforge.net. The Ada parser for Exuberant Ctags is fairly new - don't expect complete support yet.
4. Compiler Support *ada-compiler* The Ada mode supports more then one Ada compiler and will automatically load the compiler set in|g:ada_default_compiler|whenever an Ada source is opened. The provided compiler plug-ins are split into the actual compiler plug-in and a collection of support functions and variables. This allows the easy development of specialized compiler plug-ins fine tuned to your development environment. ------------------------------------------------------------------------------ 4.1 GNAT *compiler-gnat* GNAT is the only free (beer and speech) Ada compiler available. There are several version available which differentiate in the licence terms used. The GNAT compiler plug-in will perform a compile on pressing <F7> and then immediately shows the result. You can set the project file to be used by setting: > call g:gnat.Set_Project_File ('my_project.gpr') Setting a project file will also create a Vim session (|views-sessions|) so - like with the GPS - opened files, window positions etc. will remembered separately for all projects. *gnat_members* GNAT OBJECT *g:gnat.Make()* g:gnat.Make() Calls|g:gnat.Make_Command|and displays the result inside a |quickfix| window. *g:gnat.Pretty()* g:gnat.Pretty() Calls|g:gnat.Pretty_CommandYXXY *g:gnat.Find()* g:gnat.Find() Calls|g:gnat.Find_CommandYXXY *g:gnat.Tags()* g:gnat.Tags() Calls|g:gnat.Tags_CommandYXXY *g:gnat.Set_Project_File()* g:gnat.Set_Project_File([{file}]) Set gnat project file and load associated session. An open project will be closed and the session written. If called without file name the file selector opens for selection of a project file. If called with an empty string then the project and associated session are closed. *g:gnat.Project_File* g:gnat.Project_File string Current project file. *g:gnat.Make_Command* g:gnat.Make_Command string External command used for|g:gnat.Make()| (|'makeprg'|). *g:gnat.Pretty_Program* g:gnat.Pretty_Program string External command used for|g:gnat.Pretty()YXXY *g:gnat.Find_Program* g:gnat.Find_Program string External command used for|g:gnat.Find()YXXY *g:gnat.Tags_Command* g:gnat.Tags_Command string External command used for|g:gnat.Tags()YXXY *g:gnat.Error_Format* g:gnat.Error_Format string Error format (|'errorformat'|) ------------------------------------------------------------------------------ 4.2 Dec Ada *compiler-hpada* *compiler-decada* *compiler-vaxada* *compiler-compaqada* Dec Ada (also known by - in chronological order - VAX Ada, Dec Ada, Compaq Ada and HP Ada) is a fairly dated Ada 83 compiler. Support is basic: <F7> will compile the current unit. The Dec Ada compiler expects the package name and not the file name to be passed a parameter. The compiler plug-in supports the usual file name convention to convert the file into a unit name. For separates both '-' and '__' are allowed. *decada_members* DEC ADA OBJECT *g:decada.Make()* g:decada.Make() function Calls|g:decada.Make_Command|and displays the result inside a |quickfix| window. *g:decada.Unit_Name()* g:decada.Unit_Name() function Get the Unit name for the current file. *g:decada.Make_Command* g:decada.Make_Command string External command used for|g:decadat.Make()| (|'makeprg'|). *g:decada.Error_Format* g:decada.Error_Format| string Error format (|'errorformat'|).
5. References *ada-reference* ------------------------------------------------------------------------------ 5.1 Options *ft-ada-options* *g:ada_standard_types* g:ada_standard_types bool (true when exists) Highlight types in package Standard (e.g., "Float") *g:ada_space_errors* *g:ada_no_trail_space_error* *g:ada_no_tab_space_error* *g:ada_all_tab_usage* g:ada_space_errors bool (true when exists) Highlight extraneous errors in spaces ... g:ada_no_trail_space_error - but ignore trailing spaces at the end of a line g:ada_no_tab_space_error - but ignore tabs after spaces g:ada_all_tab_usage - highlight all tab use *g:ada_line_errors* g:ada_line_errors bool (true when exists) Highlight lines which are to long. Note: This highlighting option is quite CPU intensive. *g:ada_rainbow_color* g:ada_rainbow_color bool (true when exists) Use rainbow colours for '(' and ')'. You need the rainbow_parenthesis for this to work *g:ada_folding* g:ada_folding set ('sigpft') Use folding for Ada sources. 's': activate syntax folding on load 'p': fold packages 'f': fold functions and procedures 't': fold types 'c': fold conditionals 'g': activate gnat pretty print folding on load 'i': lone 'is' folded with line above 'b': lone 'begin' folded with line above 'p': lone 'private' folded with line above 'x': lone 'exception' folded with line above 'i': activate indent folding on load Note: Syntax folding is in an early (unusable) stage and indent or gnat pretty folding is suggested. For gnat pretty folding to work the following settings are suggested: -cl3 -M79 -c2 -c3 -c4 -A1 -A2 -A3 -A4 -A5 For indent folding to work the following settings are suggested: shiftwidth=3 softtabstop=3 *g:ada_abbrev* g:ada_abbrev bool (true when exists) Add some abbreviations. This feature more or less superseded by the various completion methods. *g:ada_withuse_ordinary* g:ada_withuse_ordinary bool (true when exists) Show "with" and "use" as ordinary keywords (when used to reference other compilation units they're normally highlighted specially). *g:ada_begin_preproc* g:ada_begin_preproc bool (true when exists) Show all begin-like keywords using the colouring of C preprocessor commands. *g:ada_omni_with_keywords* g:ada_omni_with_keywords Add Keywords, Pragmas, Attributes to omni-completions (|compl-omni|). Note: You can always complete then with user completion (|i_CTRL-X_CTRL-U|). *g:ada_extended_tagging* g:ada_extended_tagging enum ('jump', 'list') use extended tagging, two options are available 'jump': use tjump to jump. 'list': add tags quick fix list. Normal tagging does not support function or operator overloading as these features are not available in C and tagging was originally developed for C. *g:ada_extended_completion* g:ada_extended_completion Uses extended completion for <C-N> and <C-R> completions (|i_CTRL-N|). In this mode the '.' is used as part of the identifier so that 'Object.Method' or 'Package.Procedure' are completed together. *g:ada_gnat_extensions* g:ada_gnat_extensions bool (true when exists) Support GNAT extensions. *g:ada_with_gnat_project_files* g:ada_with_gnat_project_files bool (true when exists) Add gnat project file keywords and Attributes. *g:ada_default_compiler* g:ada_default_compiler string set default compiler. Currently supported is 'gnat' and 'decada'. An "exists" type is a boolean is considered true when the variable is defined and false when the variable is undefined. The value which the variable is set makes no difference. ------------------------------------------------------------------------------ 5.3 Commands *ft-ada-commands* :AdaRainbow *:AdaRainbow* Toggles rainbow colour (|g:ada_rainbow_color|) mode for '(' and ')' :AdaLines *:AdaLines* Toggles line error (|g:ada_line_errors|) display :AdaSpaces *:AdaSpaces* Toggles space error (|g:ada_space_errors|) display. :AdaTagDir *:AdaTagDir* Creates tags file for the directory of the current file. :AdaTagFile *:AdaTagFile* Creates tags file for the current file. :AdaTypes *:AdaTypes* Toggles standard types (|g:ada_standard_types|) colour. :GnatFind *:GnatFind* Calls |g:gnat.Find()| :GnatPretty *:GnatPretty* Calls |g:gnat.Pretty()| :GnatTags *:GnatTags* Calls |g:gnat.Tags()| ------------------------------------------------------------------------------ 5.3 Variables *ft-ada-variables* *g:gnat* g:gnat object Control object which manages GNAT compiles. The object is created when the first Ada source code is loaded provided that |g:ada_default_compiler|is set to 'gnat'. See|gnat_members| for details. *g:decada* g:decada object Control object which manages Dec Ada compiles. The object is created when the first Ada source code is loaded provided that |g:ada_default_compiler|is set to 'decada'. See |decada_members|for details. ------------------------------------------------------------------------------ 5.4 Constants *ft-ada-constants* All constants are locked. See |:lockvar| for details. *g:ada#WordRegex* g:ada#WordRegex string Regular expression to search for Ada words *g:ada#DotWordRegex* g:ada#DotWordRegex string Regular expression to search for Ada words separated by dots. *g:ada#Comment* g:ada#Comment string Regular expression to search for Ada comments *g:ada#Keywords* g:ada#Keywords list of dictionaries List of keywords, attributes etc. pp. in the format used by omni completion. See |complete-items| for details. *g:ada#Ctags_Kinds* g:ada#Ctags_Kinds dictionary of lists Dictionary of the various kinds of items which the Ada support for Ctags generates. ------------------------------------------------------------------------------ 5.2 Functions *ft-ada-functions* ada#Word([{line}, {col}]) *ada#Word()* Return full name of Ada entity under the cursor (or at given line/column), stripping white space/newlines as necessary. ada#List_Tag([{line}, {col}]) *ada#Listtags()* List all occurrences of the Ada entity under the cursor (or at given line/column) inside the quick-fix window ada#Jump_Tag ({ident}, {mode}) *ada#Jump_Tag()* List all occurrences of the Ada entity under the cursor (or at given line/column) in the tag jump list. Mode can either be 'tjump' or 'stjump'. ada#Create_Tags ({option}) *ada#Create_Tags()* Creates tag file using Ctags. The option can either be 'file' for the current file, 'dir' for the directory of the current file or a file name. gnat#Insert_Tags_Header() *gnat#Insert_Tags_Header()* Adds the tag file header (!_TAG_) information to the current file which are missing from the GNAT XREF output. ada#Switch_Syntax_Option ({option}) *ada#Switch_Syntax_Option()* Toggles highlighting options on or off. Used for the Ada menu. *gnat#New()* gnat#New () Create a new gnat object. See |g:gnat| for details.
8. Extra Plugins *ada-extra-plugins* You can optionally install the following extra plug-in. They work well with Ada and enhance the ability of the Ada mode.: backup.vim http://www.vim.org/scripts/script.php?script_id=1537 Keeps as many backups as you like so you don't have to. rainbow_parenthsis.vim http://www.vim.org/scripts/script.php?script_id=1561 Very helpful since Ada uses only '(' and ')'. nerd_comments.vim http://www.vim.org/scripts/script.php?script_id=1218 Excellent commenting and uncommenting support for almost any programming language. matchit.vim http://www.vim.org/scripts/script.php?script_id=39 '%' jumping for any language. The normal '%' jump only works for '{}' style languages. The Ada mode will set the needed search patters. taglist.vim http://www.vim.org/scripts/script.php?script_id=273 Source code explorer sidebar. There is a patch for Ada available. The GNU Ada Project distribution http://gnuada.sourceforge.net of Vim contains all of the above.
top - main help file


For more information, here are some resources:
SensorOverlord is a full R package that extends the functionality that you have seen in this application. For instructions on how to use and install the SensorOverlord package, see the associated github package.
If you use SensorOverlord in your work, please cite our manuscript as follows:
Stanley, J.A., Johnsen, S.B. & Apfeld, J. The SensorOverlord predicts the accuracy of measurements with ratiometric biosensors. Sci Rep 10, 16843 (2020). https://doi.org/10.1038/s41598-020-73987-0
The paper includes a much more rigorous overview of the SensorOverlord package, as well as its applications and derivations. It is publically-available here via Scentific Reports.
If you have absolutely any questions related to SensorOverlord, or just want to get in touch, please feel free to reach out to me (Julian) at julianst [at] mit [dot] edu, or to my PI (Dr. Javier Apfeld) at j [dot] apfeld [at] northeastern [dot] edu.
Best of luck with all of your microscopy endeavors!


| Go to |
|---|
| CL2 |
| UIx |
| HIIT |
Under development.
Most of the planned features are supported on Symbian, but could use a friendlier GUI application for configuring the logger, and further improvements to securing the logfiles.
An initiative to port ContextLogger2 to another smartphone platform has resulted in an effort to bring ContextLogger2 to Android. The porting work has been started as part of GSoC 2011.
To keep updated about progress, you can look at:


Here it is, another single for you! Music from and inspired by the motion picture "Rooks", did you see it yet? You should! it's excellent!
You're probably thinking, wow they've released a lot of music lately, and you would be right. And we're not going to let up, so much is coming soon, more music, videos, shows, yes shows!!! It's going to be a fun summer!


You can switch the view of the Document Window to the Files View through the View menu. A typical Files View might be:
In the Files View you can see the current status of the files and folders in the repository. Which files and folders are shown in the Files View depend on which viewing options you have chosen in the right sidebar. Depending upon the status of the files you have selected, you can choose to perform various actions available from the Action menu. These actions can include committing changes, reverting changes, deleting files, adding new files, inspecting the files changes, etc.
The status of a file is always with respect to its parent revision. This could be the last commit; or if the update command has been used, it could be some other revision. With respect to the parent revision, we can talk about files and folders which are modified, removed, added, missing, unknown, etc.
The various file viewing options (like Modified, Added, Removed, etc., which appear in the right sidebar) control the class of files that will be shown in the Files View. Checking a particular option will cause any folders and files with the specified status to be correspondingly shown. For instance, in the screenshot, 'Modified' is checked, and we see that the file CircleView.m, which has been modified relative to the parent revision, is consequently shown. ‘Up to date’ is also checked, so we can see all the files which are tracked by Mercurial but have not been changed in any way since the parent revision.
| Checkbox | Controls the showing or hiding of: |
| Up to date | Controls the showing or hiding of files which are up to date. (In Mercurial terminology, 'Clean'.) |
| Modified | Controls the showing or hiding of files which are modified. |
| Added | Controls the showing or hiding of files which have been added. |
| Removed | Controls the showing or hiding of files which have been removed. |
| Missing | Controls the showing or hiding of files which are missing. |
| Untracked | Controls the showing or hiding of files which are not yet tracked. |
| Ignored | Controls the showing or hiding of files which are to be ignored. |
| Unresolved | Controls the showing or hiding of files which after a merge have merge conflicts. |
| Resolved | Controls the showing or hiding of files which have been merged since the last commit, and whose merge conflicts have been resolved. |
| Status Icons | Controls the showing or hiding of finder icons indicating the status of each of the files and folders that are displayed in the Files View. |


My name is Ngun Thang. I have served my community for over ten years originally working as a freelance interpreter and a medical biller. I also worked in accounts receivable. I received my real estate license in 2021 and I am currently working with Kelly Williams.
My main goal is to help my clients find their dream home or move on to their next one quickly and easily. Buying or selling a home doesn't need to be stressful!
I have deep ties in the local community and am focused on ensuring my clients are set up for success. I will walk you through a stress free process of either buying or selling a home.
I am a qualified realtor and I am also experienced with advanced interpretations and translations of several different languages including Spanish, Falam Chin and Burmese.
Are you ready to find a luxury home or a speciality / custom built home that will suit your needs? I have access to a wide selection of private listings and can help you navigate the high-end home marketplace!
Lorum ipsum eras insdrtas textus heres. Lorum ipsum eras insdrtas textus heres, Lorum ipsum eras insdrtas textus heres.Lorum ipsum eras insdrtas textus heres. Lorum ipsum eras insdrtas textus heres
Lorum ipsum eras insdrtas textus heres. Lorum ipsum eras insdrtas textus heres, Lorum ipsum eras insdrtas textus heres.Lorum ipsum eras insdrtas textus heres. Lorum ipsum eras insdrtas textus heres


Observation of the orbital Hall effect in a light metal Ti
Young-Gwan Choi†,
Daegeun Jo†,
Kyung-Hun Ko†,
Dongwook Go,
Kyung-Han Kim,
Hee Gyum Park,
Changyoung Kim,
Byoung-Chul Min,
Gyung-Min Choi,
and Hyun-Woo Lee
Nature
619,
52–56
(2023)
Long-Range Orbital Torque by Momentum-Space Hotspots
Dongwook Go,
Daegeun Jo,
Kyoung-Whan Kim,
Soogil Lee,
Min-Gu Kang,
Byong-Guk Park,
Stefan Blügel,
Hyun-Woo Lee,
and Yuriy Mokrousov
Phys. Rev. Lett.
130,
246701
(2023)
Observation of long-range orbital transport and giant orbital torque
Hiroki Hayashi,
Daegeun Jo,
Dongwook Go,
Yuriy Mokrousov,
Hyun-Woo Lee,
and Kazuya Ando
Communications Physics
6,
32
(2023)
Emerging effects of oxygen accumulation on orbital torque
Junyeon Kim,
Jun Uzuhashi,
Dongwook Go,
Daegeun Jo,
Tadakatsu Ohkubo,
Seiji Mitani,
Hyun-Woo Lee,
and YoshiChika Otani
preprint available at Research Square
(2023)
2021
Orbital torque in magnetic bilayers
Dongjoon Lee,
Dongwook Go,
Hyeon-Jong Park,
Wonmin Jeong,
Hye-Won Ko,
Deokhyun Yun,
Daegeun Jo,
Soogil Lee,
Gyungchoon Go,
Jung Hyun Oh,
Kab-Jin Kim,
Byong-Guk Park,
Byoung-Chul Min,
Hyun Cheol Koo,
Hyun-Woo Lee,
OukJae Lee,
and Kyung-Jin Lee
Nature Communications
12,
6710
(2021)
Orbital Rashba effect in a surface-oxidized Cu film
Dongwook Go,
Daegeun Jo,
Tenghua Gao,
Kazuya Ando,
Stefan Blügel,
Hyun-Woo Lee,
and Yuriy Mokrousov
Phys. Rev. B
103,
L121113
(2021)
Gigantic Current Control of Coercive Field and Magnetic Memory Based on Nanometer-Thin Ferromagnetic van der Waals Fe3GeTe2
Kaixuan Zhang,
Seungyun Han,
Youjin Lee,
Matthew J. Coak,
Junghyun Kim,
Inho Hwang,
Suhan Son,
Jeacheol Shin,
Mijin Lim,
Daegeun Jo,
Kyoo Kim,
Dohun Kim,
Hyun-Woo Lee,
and Je-Geun Park
Advanced Materials
33,
2004110
(2021)
Nontrivial torque generation by orbital angular momentum injection in ferromagnetic-metal/Cu/Al2O3 trilayers
Junyeon Kim,
Dongwook Go,
Hanshen Tsai,
Daegeun Jo,
Kouta Kondou,
Hyun-Woo Lee,
and YoshiChika Otani
Phys. Rev. B
103,
L020407
(2021)
2020
Magnetization switching driven by current-induced torque from weakly spin-orbit coupled Zr
Z. C. Zheng,
Q. X. Guo,
D. Jo,
D. Go,
L. H. Wang,
H. C. Chen,
W. Yin,
X. M. Wang,
G. H. Yu,
W. He,
H.-W. Lee,
J. Teng,
and T. Zhu
Phys. Rev. Research
2,
013127
(2020)
2018
Gigantic intrinsic orbital Hall effects in weakly spin-orbit coupled metalsDaegeun Jo,
Dongwook Go,
and Hyun-Woo Lee
Phys. Rev. B
98,
214405
(2018)
Intrinsic Spin and Orbital Hall Effects from Orbital Texture
Dongwook Go,
Daegeun Jo,
Changyoung Kim,
and Hyun-Woo Lee
Phys. Rev. Lett.
121,
086602
(2018)


"Measurement of 1st, 2nd and 3rd azimuthal anisotropy in Cu+Au collisions"
Data Tables
Fig4:Charged hadron v1
Fig5:Charged hadron v2
Fig6:Charged hadron v3
Fig7:PID v2
Fig9:PID v3
Fig9:PID v1
Fig11:Charged hadron v2/e2
Fig12:Charged hadron v2/(e2*Npart^{1/3})
Fig14:Charged hadron v3/e3
Fig15:Charged hadron v3/(e3*Npart^{1/3})
Fig16:Charged hadron v2 for 0-5%
Fig17:Charged hadron v3 for 0-5%


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A graphic for exploring Watt’s curve:
The entire curve is given in polar coordinates by
\[ r^2 = b^2 - \left[ a \sin\theta \pm \sqrt{ c^2 - a^2 \cos^2\theta } \right]^2 \]Since b and c are both squared they can be assumed to have positive values. The parameter a is effectively positive as well, since altering its sign merely interchanges parts of the curve.
Unfortunately a straightforward attempt to display this curve as a polar plot goes awry, because the expression as given becomes complex over significant portions of the angular domain. It is simpler to expand the definition to remove the square root
\[ r^2 ( r^2 - a^2 - b^2 + c^2 )^2 + 4 a^2 y^2 ( r^2 - b^2 ) = 0 \]and then visualize the curve as an isoline using marching squares.
Complete code for this example:


|
gtsam 4.1.1
gtsam
|
Public Member Functions | |
| ISAM2Params (OptimizationParams _optimizationParams=ISAM2GaussNewtonParams(), RelinearizationThreshold _relinearizeThreshold=0.1, int _relinearizeSkip=10, bool _enableRelinearization=true, bool _evaluateNonlinearError=false, Factorization _factorization=ISAM2Params::CHOLESKY, bool _cacheLinearizedFactors=true, const KeyFormatter &_keyFormatter=DefaultKeyFormatter, bool _enableDetailedResults=false) | |
| Specify parameters as constructor arguments See the documentation of member variables above. More... | |
| void | print (const std::string &str="") const |
| print iSAM2 parameters | |
Getters and Setters for all properties | |
| OptimizationParams | getOptimizationParams () const |
| RelinearizationThreshold | getRelinearizeThreshold () const |
| int | getRelinearizeSkip () const |
| bool | isEnableRelinearization () const |
| bool | isEvaluateNonlinearError () const |
| std::string | getFactorization () const |
| bool | isCacheLinearizedFactors () const |
| KeyFormatter | getKeyFormatter () const |
| bool | isEnableDetailedResults () const |
| bool | isEnablePartialRelinearizationCheck () const |
| void | setOptimizationParams (OptimizationParams optimizationParams) |
| void | setRelinearizeThreshold (RelinearizationThreshold relinearizeThreshold) |
| void | setRelinearizeSkip (int relinearizeSkip) |
| void | setEnableRelinearization (bool enableRelinearization) |
| void | setEvaluateNonlinearError (bool evaluateNonlinearError) |
| void | setFactorization (const std::string &factorization) |
| void | setCacheLinearizedFactors (bool cacheLinearizedFactors) |
| void | setKeyFormatter (KeyFormatter keyFormatter) |
| void | setEnableDetailedResults (bool enableDetailedResults) |
| void | setEnablePartialRelinearizationCheck (bool enablePartialRelinearizationCheck) |
| GaussianFactorGraph::Eliminate | getEliminationFunction () const |
Static Public Member Functions | |
Some utilities | |
| static Factorization | factorizationTranslator (const std::string &str) |
| static std::string | factorizationTranslator (const Factorization &value) |
Public Attributes | |
| OptimizationParams | optimizationParams |
| Optimization parameters, this both selects the nonlinear optimization method and specifies its parameters, either ISAM2GaussNewtonParams or ISAM2DoglegParams. More... | |
| RelinearizationThreshold | relinearizeThreshold |
| Only relinearize variables whose linear delta magnitude is greater than this threshold (default: 0.1). More... | |
| int | relinearizeSkip |
| Only relinearize any variables every relinearizeSkip calls to ISAM2::update (default: 10) | |
| bool | enableRelinearization |
| Controls whether ISAM2 will ever relinearize any variables (default: true) | |
| bool | evaluateNonlinearError |
| Whether to evaluate the nonlinear error before and after the update, to return in ISAM2Result from update() | |
| Factorization | factorization |
| Specifies whether to use QR or CHOESKY numerical factorization (default: CHOLESKY). More... | |
| bool | cacheLinearizedFactors |
| Whether to cache linear factors (default: true). More... | |
| KeyFormatter | keyFormatter |
| A KeyFormatter for when keys are printed during debugging (default: DefaultKeyFormatter) | |
| bool | enableDetailedResults |
| Whether to compute and return ISAM2Result::detailedResults, this can increase running time (default: false) | |
| bool | enablePartialRelinearizationCheck |
| Check variables for relinearization in tree-order, stopping the check once a variable does not need to be relinearized (default: false). More... | |
| bool | findUnusedFactorSlots |
| When you will be removing many factors, e.g. More... | |
Public Types | |
| enum | Factorization { CHOLESKY , QR } |
| typedef boost::variant< ISAM2GaussNewtonParams, ISAM2DoglegParams > | OptimizationParams |
| Either ISAM2GaussNewtonParams or ISAM2DoglegParams. | |
| typedef boost::variant< double, FastMap< char, Vector > > | RelinearizationThreshold |
| Either a constant relinearization threshold or a per-variable-type set of thresholds. | |
|
inline |
Specify parameters as constructor arguments See the documentation of member variables above.
| _keyFormatter | see ISAM2::Params::keyFormatter, |
| bool gtsam::ISAM2Params::cacheLinearizedFactors |
Whether to cache linear factors (default: true).
This can improve performance if linearization is expensive, but can hurt performance if linearization is very cleap due to computation to look up additional keys.
| bool gtsam::ISAM2Params::enablePartialRelinearizationCheck |
Check variables for relinearization in tree-order, stopping the check once a variable does not need to be relinearized (default: false).
This can improve speed by only checking a small part of the top of the tree. However, variables below the check cut-off can accumulate significant deltas without triggering relinearization. This is particularly useful in exploration scenarios where real-time performance is desired over correctness. Use with caution.
| Factorization gtsam::ISAM2Params::factorization |
Specifies whether to use QR or CHOESKY numerical factorization (default: CHOLESKY).
Cholesky is faster but potentially numerically unstable for poorly-conditioned problems, which can occur when uncertainty is very low in some variables (or dimensions of variables) and very high in others. QR is slower but more numerically stable in poorly-conditioned problems. We suggest using the default of Cholesky unless gtsam sometimes throws IndefiniteLinearSystemException when your problem's Hessian is actually positive definite. For positive definite problems, numerical error accumulation can cause the problem to become numerically negative or indefinite as solving proceeds, especially when using Cholesky.
| bool gtsam::ISAM2Params::findUnusedFactorSlots |
When you will be removing many factors, e.g.
when using ISAM2 as a fixed-lag smoother, enable this option to add factors in the first available factor slots, to avoid accumulating nullptr factor slots, at the cost of having to search for slots every time a factor is added.
| OptimizationParams gtsam::ISAM2Params::optimizationParams |
Optimization parameters, this both selects the nonlinear optimization method and specifies its parameters, either ISAM2GaussNewtonParams or ISAM2DoglegParams.
In the former, Gauss-Newton optimization will be used with the specified parameters, and in the latter Powell's dog-leg algorithm will be used with the specified parameters.
| RelinearizationThreshold gtsam::ISAM2Params::relinearizeThreshold |
Only relinearize variables whose linear delta magnitude is greater than this threshold (default: 0.1).
If this is a FastMap<char,Vector> instead of a double, then the threshold is specified for each dimension of each variable type. This parameter then maps from a character indicating the variable type to a Vector of thresholds for each dimension of that variable. For example, if Pose keys are of type TypedSymbol<'x',Pose3>, and landmark keys are of type TypedSymbol<'l',Point3>, then appropriate entries would be added with:


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The Dialog Element is a static element in the DOM, which is just visually hidden. Once the dialog opens, we just fetch the element from the DOM into our dialog and upon close we restore
the element back into its old DOM position.


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Lua Metamethods
Metamethods Tutorial
lua-users home wiki
This is a brief introduction to the concepts of Lua metamethods.
Metamethods
Lua has a powerful extension mechanism which allows you to overload certain operations on Lua objects. Each overloaded object has a metatable of function metamethods associated with it; these are called when appropriate, similar to the concept of operator overloading from many other languages.
A metatable is a regular Lua table containing a set of metamethods, which are associated with events in Lua. Events occur when Lua executes certain operations, like addition, string concatenation, comparisons etc. Metamethods are regular Lua functions which are called when a specific event occurs. The events have names like “add” and “concat” (see manual section 2.8) which correspond with string keys in the metatable like “__add” and “__concat”. In this case to add (+) or concatenate (..) two Lua objects.
Metatables
We use the function setmetatable() to make a table act as a metatable for a certain object.
local x = {value = 5} -- creating local table x containing one key,value of value,5
local mt = {
__add = function (lhs, rhs) -- "add" event handler
return { value = lhs.value + rhs.value }
end
}
setmetatable(x, mt) -- use "mt" as the metatable for "x"
local y = x + x
print(y.value) --> 10 -- Note: print(y) will just give us the table code i.e table: <some tablecode>
local z = y + y -- error, y doesn't have our metatable. this can be fixed by setting the metatable of the new object inside the metamethod
When the addition operator finds that its operands aren’t numbers, it tries checking if one of them has a metatable with an __add key. In this case it does, so it runs the function stored under that key in the metatable, equivalent to this:
local y = (getmetatable(x).__add(x, x)) -- x + x
Metatables are still triggered with math operators if one of the operands is a number. And the left operand is always the first parameter to the function, and the right operand is always the second. This means that the table that has the metamethod might not necessarily be the first parameter to the metamethod.
More events
The following are notes on other of the metamethod events that Lua handles. For a full list of metamethod events, see: MetatableEvents.
__index
This is a very commonly used and versatile metamethod, it lets you run a custom function or use a “fallback” table if a key in a table doesn’t exist. If a function is used, its first parameter will be the table that the lookup failed on, and the second parameter will be the key. If a fallback table is used, remember that it can trigger an __index metamethod on it if it has one, so you can create long chains of fallback tables.
local func_example = setmetatable({}, {__index = function (t, k) -- {} an empty table, and after the comma, a custom function failsafe
return "key doesn't exist"
end})
local fallback_tbl = setmetatable({ -- some keys and values present, together with a fallback failsafe
foo = "bar",
[123] = 456,
}, {__index=func_example})
local fallback_example = setmetatable({}, {__index=fallback_tbl}) -- {} again an empty table, but this time with a fallback failsafe
print(func_example[1]) --> key doesn't exist
print(fallback_example.foo) --> bar
print(fallback_example[123]) --> 456
print(fallback_example[456]) --> key doesn't exist
__newindex
This metamethod is called when you try to assign to a key in a table, and that key doesn’t exist (contains nil). If the key exists, the metamethod is not triggered.
local t = {}
local m = setmetatable({}, {__newindex = function (table, key, value)
t[key] = value
end})
m[123] = 456
print(m[123]) --> nil
print(t[123]) --> 456
Comparison operators
__eq is called when the == operator is used on two tables, the reference equality check failed, and both tables have the same __eq metamethod (!).
__lt is called to check if one object is “less than” another. Unlike __eq, it’s not an error if the two objects have different __lt metamethods, the one on the left will be used.
That’s all you need for all of the comparison operators to work with your object. But there will be some cases where both __lt and __eq will need to be called by the same operator. To avoid this, you can optionally add the __le (less than or equal to) metamethod. Now only one of the metamethods will be called with any of the comparison operators.
For example, we can improve the example at the top of the page like this:
local mt
mt = {
__add = function (lhs, rhs)
return setmetatable({value = lhs.value + rhs.value}, mt)
end,
__eq = function (lhs, rhs)
return lhs.value == rhs.value
end,
__lt = function (lhs, rhs)
return lhs.value < rhs.value
end,
__le = function (lhs, rhs) -- not really necessary, just improves "<=" and ">" performance
return lhs.value <= rhs.value
end,
}
__metatable
__metatable is for protecting metatables. If you do not want a program to change the contents of a metatable, you set its __metatable field. With that, the program cannot access the metatable (and therefore cannot change it).
Metamethod manual
See [1] for a list of all metamethods and explanations of what they do.
See Also
MetatableEvents
ObjectOrientationTutorial
LuaClassesWithMetatable
Section 2.8 of the Reference Manual [2] covers Metatables.
"Chapter 7: Effecting Large-Scale Change (with little trauma) using Metatables" by Sérgio Alvarez Maffra and PedroMillerRabinovitch in Lua Programming Gems (see LuaBooks) outlines some practical applications of metatables, particularly in illustrating how adding only a little metatable code can be used to make significant system-wide changes in a program.
RecentChanges · preferences edit · history Last edited August 16, 2014 6:47 am GMT (diff)
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stream(1) stream(1) NAME stream - a lightweight tool to stream one or more pixel components of the image or portion of the image to your choice of storage formats. SYNOPSIS stream [options] input-file output-file OVERVIEW Stream is a lightweight tool to stream one or more pixel components of the image or portion of the image to your choice of storage formats. It writes the pixel components as they are read from the input image a row at a time making stream desirable when working with large images or when you require raw pixel components. For more information about the stream command, point your browser to file:///usr/share/doc/imagemagick/www/stream.html or http://www.imagemag‐ ick.org/script/stream.php. DESCRIPTION Image Settings: -authenticate value decrypt image with this password -channel type apply option to select image channels -colorspace type alternate image colorspace -compress type type of pixel compression when writing the image -define format:option define one or more image format options -density geometry horizontal and vertical density of the image -depth value image depth -extract geometry extract area from image -identify identify the format and characteristics of the image -interlace type type of image interlacing scheme -interpolate method pixel color interpolation method -limit type value pixel cache resource limit -map components one or more pixel components -monitor monitor progress -quantize colorspace reduce colors in this colorspace -quiet suppress all warning messages -regard-warnings pay attention to warning messages -sampling-factor geometry horizontal and vertical sampling factor -seed value seed a new sequence of pseudo-random numbers -set attribute value set an image attribute -size geometry width and height of image -storage-type type pixel storage type -synchronize synchronize image to storage device -transparent-color color transparent color -verbose print detailed information about the image -virtual-pixel method virtual pixel access method Miscellaneous Options: -debug events display copious debugging information -help print program options -log format format of debugging information -list type print a list of supported option arguments -version print version information By default, the image format of `file' is determined by its magic number. To specify a particular image format, precede the filename with an image format name and a colon (i.e. ps:image) or specify the image type as the filename suffix (i.e. image.ps). Specify 'file' as '-' for standard input or output. SEE ALSO ImageMagick(1) COPYRIGHT Copyright (C) 1999-2012 ImageMagick Studio LLC. Additional copyrights and licenses apply to this software, see file:///usr/share/doc/imagemag‐ ick/www/license.html or http://www.imagemagick.org/script/license.php ImageMagick Date: 2009/01/10 01:00:00 stream(1)


The following material has been provided for informational purposes only, and should not be relied upon or construed as a legal opinion or legal advice.
| Package Group | Package Artifact | Package Version | Remote Licenses | Local Licenses |
|---|---|---|---|---|
| kerberos.edu.mit.web | krb5 | The MIT License
| mit.txt
|
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| net.zlib | zlib | The zlib License
| zlib-license.txt
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|
| openssl | openssl | OpenSSL License
| openssl-license.txt
|


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Go to the source code of this file.
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Dev notes, exception handling: While those where used to handle specific cases scenarios in a (unpublished) most recent program version, they were quickly removed after being linked to major issues keeping the application from even running/starting as expected. Exceptions have proven themselves to be dangerously problematics in their current use which is why, despite the effort made to implement them, they will not be present in the final product (as of now). An heap memory corruption seems to be partially responsible for the problems that led me to believe of the current problematic that exceptions COULD have caused, perhaps it would better to look for possible memory leaks in the future. I don't have time nor courage for this though.
◆ __DECLARE_EXCEPTION() [1/8]
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DISTRIB: Four Essential Functions for Statistical Distributions Analysis:
A New Functional Approach
A different way for calculating pdf/pmf, cdf, quantile and random data such that the user is able to consider the name of related distribution as an argument and so easily can changed by a changing argument by user. It must be mentioned that the core and computation base of package 'DISTRIB' is package 'stats'. Although similar functions are introduced previously in package 'stats', but the package 'DISTRIB' has some special applications in some special computational programs.
| Version: |
1.0 |
| Published: |
2016-12-26 |
| Author: |
Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran) |
| Maintainer: |
Abbas Parchami <parchami at uk.ac.ir> |
| License: |
LGPL (≥ 3) |
| NeedsCompilation: |
no |
| CRAN checks: |
DISTRIB results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=DISTRIB
to link to this page.


apache_beam.io.textio module¶
A source and a sink for reading from and writing to text files.
-
class
apache_beam.io.textio.
ReadAllFromText
(min_bundle_size=0, desired_bundle_size=67108864, compression_type='auto', strip_trailing_newlines=True, coder=StrUtf8Coder, skip_header_lines=0, **kwargs)[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
A
PTransform
for reading aPCollection
of text files.Reads aPCollection
of text files or file patterns and and produces aPCollection
of strings.Parses a text file as newline-delimited elements, by default assuming UTF-8 encoding. Supports newline delimiters ‘n’ and ‘rn’.
This implementation only supports reading text encoded using UTF-8 or ASCII. This does not support other encodings such as UTF-16 or UTF-32.
Initialize the
ReadAllFromText
transform.Parameters: - min_bundle_size – Minimum size of bundles that should be generated when
splitting this source into bundles. See
FileBasedSource
for more details. - desired_bundle_size – Desired size of bundles that should be generated when
splitting this source into bundles. See
FileBasedSource
for more details. - compression_type – Used to handle compressed input files. Typical value
is
CompressionTypes.AUTO
, in which case the underlying file_path’s extension will be used to detect the compression. - strip_trailing_newlines – Indicates whether this source should remove the newline char in each line it reads before decoding that line.
- validate – flag to verify that the files exist during the pipeline creation time.
- skip_header_lines – Number of header lines to skip. Same number is skipped from each source file. Must be 0 or higher. Large number of skipped lines might impact performance.
- coder – Coder used to decode each line.
-
DEFAULT_DESIRED_BUNDLE_SIZE
= 67108864¶
- min_bundle_size – Minimum size of bundles that should be generated when
splitting this source into bundles. See
-
class
apache_beam.io.textio.
ReadFromText
(file_pattern=None, min_bundle_size=0, compression_type='auto', strip_trailing_newlines=True, coder=StrUtf8Coder, validate=True, skip_header_lines=0, **kwargs)[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
A
PTransform
for reading text files.Parses a text file as newline-delimited elements, by default assuming
UTF-8
encoding. Supports newline delimiters\n
and\r\n
.This implementation only supports reading text encoded using
UTF-8
orASCII
. This does not support other encodings such asUTF-16
orUTF-32
.Initialize the
ReadFromText
transform.Parameters: - file_pattern (str) – The file path to read from as a local file path or a
GCS
gs://
path. The path can contain glob characters (*
,?
, and[...]
sets). - min_bundle_size (int) – Minimum size of bundles that should be generated
when splitting this source into bundles. See
FileBasedSource
for more details. - compression_type (str) – Used to handle compressed input files.
Typical value is
CompressionTypes.AUTO
, in which case the underlying file_path’s extension will be used to detect the compression. - strip_trailing_newlines (bool) – Indicates whether this source should remove the newline char in each line it reads before decoding that line.
- validate (bool) – flag to verify that the files exist during the pipeline creation time.
- skip_header_lines (int) – Number of header lines to skip. Same number is skipped from each source file. Must be 0 or higher. Large number of skipped lines might impact performance.
- coder (Coder) – Coder used to decode each line.
- file_pattern (str) – The file path to read from as a local file path or a
GCS
-
class
apache_beam.io.textio.
WriteToText
(file_path_prefix, file_name_suffix='', append_trailing_newlines=True, num_shards=0, shard_name_template=None, coder=ToStringCoder, compression_type='auto', header=None)[source]¶ Bases:
apache_beam.transforms.ptransform.PTransform
A
PTransform
for writing to text files.Initialize a
WriteToText
transform.Parameters: - file_path_prefix (str) – The file path to write to. The files written will begin with this prefix, followed by a shard identifier (see num_shards), and end in a common extension, if given by file_name_suffix. In most cases, only this argument is specified and num_shards, shard_name_template, and file_name_suffix use default values.
- file_name_suffix (str) – Suffix for the files written.
- append_trailing_newlines (bool) – indicate whether this sink should write an additional newline char after writing each element.
- num_shards (int) – The number of files (shards) used for output. If not set, the service will decide on the optimal number of shards. Constraining the number of shards is likely to reduce the performance of a pipeline. Setting this value is not recommended unless you require a specific number of output files.
- shard_name_template (str) – A template string containing placeholders for
the shard number and shard count. Currently only
''
and'-SSSSS-of-NNNNN'
are patterns accepted by the service. When constructing a filename for a particular shard number, the upper-case lettersS
andN
are replaced with the0
-padded shard number and shard count respectively. This argument can be''
in which case it behaves as if num_shards was set to 1 and only one file will be generated. The default pattern used is'-SSSSS-of-NNNNN'
. - coder (Coder) – Coder used to encode each line.
- compression_type (str) – Used to handle compressed output files.
Typical value is
CompressionTypes.AUTO
, in which case the final file path’s extension (as determined by file_path_prefix, file_name_suffix, num_shards and shard_name_template) will be used to detect the compression. - header (str) – String to write at beginning of file as a header.
If not
None
and append_trailing_newlines is set,\n
will be added.


Dear {{user.nickname}},
Job_id {{analysis.id}} ({{analysis.experiment}})from project {{analysis.project_id}} has now completed.
Click on the following link to visit the report page for job_id {{analysis.id}}:
{{analysis.experiment}}
Regards,
The GenomicsManager admin
GenomicsManager


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Investigating the effect of the calibration data length on the performance of hydrological models
GitHub repository: https://github.com/hydrogo/KALIv2
Results for the set of studied river basins:


To manage the document templates, click on "Templates" in the menu (left-side). After that you will see a list of all available
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There you can use the following actions:
Adding a new template to the list
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New Template / Edit a template - Step 1
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In the next step you will have to provide information about the logical structure of the planned circulations.
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On this page you can add and delete the slots for this document template. The actions are the same as you know from the other administration pages.
The only new actions are the up- and down-Arrows for sorting the Slots.
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The last step is for assigning input fields to the slots of the document template. You can select Fields on the right table of each slot and add them with the "Add"-Button.
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Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 4-6
This most traditional of slow-cooked British classics is a corker of a one-pot winter warmer.
Preheat the oven to 140C/275F/Gas 1.
For the stew, wrap the cloves, cinnamon and star anise in a clean piece of muslin and secure well. Set aside.
Sprinkle the flour onto a plate and mix in the salt. Dredge the beef pieces in the seasoned flour, shaking off any excess.
Heat the oil in a large, heavy-based, lidded, flameproof casserole over a medium heat. Add the beef in batches, frying for a few seconds on all sides, or until browned all over. Remove from the casserole using a slotted spoon and set aside in a bowl. Repeat the process with the remaining beef.
Add the carrots and fry, stirring regularly, for 6-8 minutes, or until sticky and deep golden-brown. Remove from the casserole using a slotted spoon and set aside with the beef.
Add the onions and fry, stirring regularly, for 6-8 minutes, or until well coloured. Remove from the casserole using a slotted spoon and set aside with the beef and carrots. Add the celery and fry, stirring regularly, for 6-8 minutes, or until well coloured.
Return the beef and cooked vegetables to the casserole and stir well. Add the muslin bag and the apples and stir again. Pour in the ale, stir well, then bring the mixture to the boil.
Pour in the stock, add the rosemary and bay leaves and return the mixture to the boil. Stir well, then cover the casserole with the lid and reduce the heat until the mixture is just simmering. Season, to taste, with salt.
Transfer the casserole to the oven and cook for 2½-3½ hours, or until the beef is tender and falling-apart.
For the dumplings, mix together the breadcrumbs, suet, self-raising flour, salt and parsley in a large bowl until well combined. In a jug, whisk together the egg and milk until well combined.
Make a well in the centre of the dry ingredients, then gradually pour the wet ingredients into it. Stir the dry mixture into the wet mixture a little at a time, until the mixture comes together as a dough. Roll the dough into eight equally-sized dumplings, then set aside.
When the stew has been cooking for 2½-3 hours and the meat is tender, remove the casserole from the oven and remove the lid. Dot the dumplings onto the surface of the stew, leaving space between each.
Put the lid on the casserole and return it to the oven for a further 20 minutes, or until the dumplings have expanded.
Remove the casserole from the oven. Remove the lid from the casserole and brush the tops of the dumplings with a little oil or melted butter.
Increase the oven temperature to 200C/400F/Gas 6.
Return the casserole to the oven. Continue to cook for a further 10-15 minutes, or until the dumplings are crisp and golden-brown on top and cooked through.
Set the casserole aside for 10-20 minutes before serving. To serve, place the casserole on the table and let people help themselves.


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There are many different types of projection. The simplist, is to simply ignore the z-dimension. This form of projection is called orthographic or parallel. It is the common form of projection used by draftspeople for top, bottom, and side views. The advantage of parallel projection is that the you can make accurate measurments of image features in the two dimensions that remain. The disadvantage is that the images don't appear natural (i.e. they lack perspective foreshorting).
Here is an example of an parallel projection of our scene.
The projection matrix for orthographic projection is very simple
There are someproblems with this simple form, however. To begin with the units of the transformed points are still the same as the model. This is great for drafting, but in our case we'd like for the units to be in pixels.
We can incorporate this change of units, and perform the flip of the y-axis required for raster coordinates into our projection matrix as follows.
For realistic three-dimensional viewing we'd like for our objects to be displayed with proper perspective. Perspective causes objects nearer to the viewing poisition to appear larger that the same object would when place farther from the viewpoint.
Artists (Donatello, Brunelleschi, and Da Vinci) during the renaissance discovered the importance of perspective for making images appear realistic. This outdates mathematicians by more than 300 years. The real reason for introducing homogenous, or projective coordinates to computer graphics was to accomplish perspective projections using linear operators. Not, as mentioned earlier, for comnbining rotations and translations in the same framework.
Lets start by looking at a perspective projection.
Note how lines known to be parallel in image space appear to converge to intersect when viewed in perspective.
Notice how similar this transform is to the original parallel projection. It also has all of the disadvantages of the parallel form, its units are not screen space units. The following transformation accomplishs the projection and the conversion to pixels in a single transform.
For the purpose of clipping we can modify this transformation so that it is mapped into a canonical space. Following is a canonical space mapping for orthographic projections.


Coolbevco is a craft juice maker that has been established in the Dominican Republic to produce the finest Organic Coconut Water, Oil & Milk on Earth. The island’s ecosystem is ideal for growing a diverse range of outstanding and unique fruits and coconuts that are packed with natural goodness and amazing taste.
Our purpose is to provide authentic, awesome tasting, and naturally enhanced functional beverages that help people live a healthier and happier life. From plantation to bottle, our craft coconut water and craft juices are always made with your enjoyment, health and safety in mind.
We love to make high quality good for you products, such as premium organic 100% natural coconut water, milk and oil. We are reliable and fun to work with. We are passionate about delivering great service and care for our customers, our people and our surroundings.
"If you build it, they will come"... Coolbevco is the place people come to when they want the very finest coconut water on Earth!
To make Uniquely Cool & Authentic healthy beverages in our innovative Craft Micro-Juicery… made by a KICK ASS team of happy people that are insanely passionate and proud of the products we make.
COOLBEVCO's management and advisors are industry leaders with established careers in beverage development, manufacturing, bottling, engineering, coconuts, natural beverages, isotonic beverages, sales & distribution, marketing & advertising and entrepreneurship.
Victor has over 20 years of management experience with top multinational consumer product companies such as Colgate Palmolive, Quaker Oats and PepsiCo. At PepsiCo, he was VP for Gatorade in Latin America and earned the highly prestigious Pepsi Chairman’s Award. After PepsiCo, Victor founded Tracker International, which is one of the largest GPS Asset Tracking companies in Latin America today with more than 300 employees and 3,000 customers. He is currently a member of the Young Presidents Organization, (YPO), one of the world’s premier peer network of chief executives and business leaders.
Gustavo is a Mechanical Engineer and Operations Management Specialist with more than 30 years experience. He led the engineering team for Quaker Oats that built the first Gatorade manufacturing facility in Venezuela and later directed all of its Supply Chain operations. He also directed operations for leading companies in Venezuela such as Ron Santa Teresa and Alfonzo Rivas. Gustavo has been responsible for several new product and growth projects related to beverages, breakfast cereals, chocolate paste & powder beverages, ethanol, rums and other alcohol related products.
Beatriz is a graduate from Louisiana State University with a degree in Food Science. She is a specialist in food and beverage new product development and quality assurance. Throughout her brilliant 30+ year career she has held key leadership responsibilities in the areas of both Quality Assurance and R&D for top companies such as Gerber, Heinz, Quaker Oats, PepsiCo and Nestle.
We can help you fulfill all your R&D and Brand development needs. If you want something special we will work hand in hand to get it done and make it happen!
All made with Dominican fruit quality. Whatever your needs are, COOLBEVCO has the expertise to help you reach a larger share of your markets.
We can tailor-make your beverages and have a variety of packaging options such as PET, Can, Glass, and Tetra Pack.
To know more about COOLBEVCO's manufacturing facility, research & development capabilities, logistics services, or to learn more about our private label and co-packing opportunities, please contact us.
Our Technical Services team works closely with you to improve or develop new products and innovative packaging concepts that are both technically and economically feasible for your project.
Our Production experience and specialized equipment give us a cost and functional competitive advantage vs. other producers in the marketplace today.
Processing:
Our specialized “from tree to bottle” process has been carefully designed to give you the freshest best tasting organic Coconut Water from the Caribbean!
Our proprietary coconut extraction, peeling and cracking equipment are part of our “secret sauce”.
Industrial Filling Line: Ensures superior product freshness and innocuousness in a 1000 liter Aseptic Big Bag and 55 Gallon Drum presentations.
PET Filling Line: A state of the art Isobaric Kosme 20/20/5 Tribloc Cold Fill line for a variety of PET bottle sizes
Automatic Sleeve Labeler: 15,000 BPH, servo system and high-sensitivity photoelectric unit imported from Japan, with high cutting precision of label. Roll frame of shrinkage film with adjustable device for different volume/size labels.
In house R&D & Laboratory Capabilities: We have a fully stocked laboratory with top of the line equipment to develop a diverse range of products and implement accelerated shelf life testing when required . We also do microbiological and physical chemical testing to ensure all certified quality controls.
Cold Press Micro Expelling VCO process: cold pressed virgin coconut oil with a proprietary fast extraction process. From coconut to package in under 45 minutes. Micro qualitative testing, chemical and sensorial lab analysis is done on every liter throughout production
Bio Mass Power Generation:
Through a system of burning our coconut shells we will create our own steam and electricity for manufacturing. We help take care of our environment while we take care of our products.
Save the Children has worked to improve the lives of vulnerable Dominican children and their families since 1972. Currently, Save the Children works in 69 communities located along the northern and central border with Haiti, as well as approximately 20 communities in the region called Bateyes. Save the Children has implemented programs in health and nutrition, preventive health care, water and sanitation, education, community development, and children's rights.
We at COOLBEVCO strongly believe that a proper education is a way out of poverty. We want to help reduce illiteracy rates in the Dominican Republic. Without sufficient funds being invested in school supplies and infrastructure, extracurricular activities, teacher/parent training and transportation to and from schools, Dominican children lack the resources needed for a proper education. We want to help make a difference and give these children a chance to improve their lives.
Please email us with your inquiry at<EMAIL_ADDRESS>Thank you for your interest in COOLBEVCO products and services.
High quality premium authentic natural foods and beverages.
COOLBEVCO
Carretera San Pedro - La Romana,
Nueva Zona Franca
San Pedro de Macorís,
Codigo Postal 21000,
Republica Dominicana


{# include template "patterns/basics/headings/sp_variations/heading.html" #}
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<{{htmltag}}>{{title}}{{htmltag}}>
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Computes continuous (not step) empirical (and nonparametric) probability density, cumulative distribution and quantile functions. Supports univariate, multivariate and conditional probability distributions, some kernel smoothing features and weighted data (possibly useful mixed with fuzzy clustering). Can compute multivariate and conditional probabilities. Also, can compute conditional medians, quantiles and modes.
| Version: | 0.2.0 |
| Depends: | graphics, stats |
| Imports: | barsurf |
| Suggests: | intoo, bivariate, fclust, mgcv, gam, moments |
| Published: | 2018-12-02 |
| Author: | Abby Spurdle |
| Maintainer: | Abby Spurdle <spurdle.a at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://sites.google.com/site/asrpws |
| NeedsCompilation: | no |
| CRAN checks: | empirical results |
| Reference manual: | empirical.pdf |
| Vignettes: |
Probability Distributions as Models of Data |
| Package source: | empirical_0.2.0.tar.gz |
| Windows binaries: | r-devel: empirical_0.2.0.zip, r-release: empirical_0.2.0.zip, r-oldrel: empirical_0.2.0.zip |
| OS X binaries: | r-release: empirical_0.2.0.tgz, r-oldrel: empirical_0.2.0.tgz |
| Old sources: | empirical archive |
| Reverse suggests: | bivariate |
Please use the canonical form https://CRAN.R-project.org/package=empirical to link to this page.


data products time situ optical OC-CCI used algorithms satellite correction series processing algorithm climate ocean SeaWiFS sensors Climate pixel MERIS pixels bias chlorophyll ocean-colour Ocean observations water spectral using coverage selected values Sathyendranath [], atmospheric available classes phytoplankton Data Remote product properties user POLYMER database MODIS-Aqua global number uncertainty {border-style NASA VIIRS based merged remote-sensing requirements versions Change Mélin applied different in-water px;} uncertainties #ffffff;} LGen SeaWiFS, Sens. Table data. https://orcid.org/--- Figure approach coefficient set Environ. band class comparison data, inherent performance provided quality sensor validation Colour chlorophyll-a classification improved processed ./j.rse... MERIS, MODIS-Aqua, absorption average color colour corresponding high included marine match-up However, Initiative M.G., Note Opt. Platt additional atmospheric-correction bio-optical chain cloud derived example, reflectance subsequent wavelength Brewin C.B., Franz Global Grant RMSD Technical bands characterisation concentration given important merging new normalised observations. process quantitative required spatial Bias S.S., Space algorithms, associated change daily differences identified model multiple products. resolution results version Brockmann ESA European F.M., F.S., H.K., Imaging Müller QAA R.D., Version Zibordi attenuation basis compared consistency described ecosystem generate include level method period processors project single snow tests total wavelengths ./AO.. Algorithm Appl. Groom Idepix Jackson OLCI Report S.G., Sea T.J., Therefore, Used V.B., band-shifting best case case- coastal combination consistent criteria dataset generation ice implemented meet missions need presented px; range record requirement seasonal surface temporal test use valid various waters work {font-family (e.g., Area Atmospheric Coverage December Earth Environmental MODIS-A Moore OC-CCI, Res. S.L., September account assigned clouds comparisons composite computed considered dynamics font-size future measurements mixed nm, pixel. potential primary problem processor retrieval selection sensing that, types (see A.V., Analysis Antoine D.M., GCOS International J.F. July Level National OC-CCI-v. Ocean-Colour Optical R.J.W.B., Sci. Syst. Uncertainty added and, assessment backscattering better biases central characteristics create currently developed diffuse double; field generated generating geographic identification identify impact improve including initial inter-mission key local monthly open panel: particular performed point producing products, provides ratio reference reflectances representative respect scale shifting sources specific spectra spectrum standard statistical studies studies, variability viewing years Arnone Berthon Brotas C.M., Centre Chuprin Doerffer Dowell ECV Group Lee M.Z., Number Observing R.; T.P.; Valente Variable according angle attributes automated bands, beginning border-color border-width calibration choice clear climate-change climate-quality components consultation context correction. datasets designed end ensure established evaluated flags having information inter-sensor irradiance low main maps match-ups models objective orbit outputs produced product. properties, provide radiances radiometry recognised records regions remote satellites scheme scientists sea shown shows solid; strategy stream taken tested time, value variations versions, visible water-leaving wavebands weighted {font-style {font-weight < (Ocean_Colour_cci): (i.e., Agency Assessment Best CCI Coordinating Correction Criteria Deschamps Essential Express Fomferra Geophys. Harwell, J.D., MERIS: MODIS-A, MODIS-A: Mar. Marine P.Y. Quasi-Analytical SVC SeaWiFS: Validation Werdell ]). adopted aerosol allowed analyses, analysis analysis. approaches areas artefacts assurance averaged bold calculated classified coefficients coloured column combined common community community, compare complex composites correct courier; data; dedicated depth details development dissolved distribution downwelling earlier em; error estimated estimates final forward framework gains gaps green help here. https://orcid.org/---X i.e., implementation implications importance improvements input large major matched matter mean membership missing mission mode multi-annual nadir nm. oceanic operational original outside overpass particles per-pixel performing planned processing. pt;} radiometric reduce reduced referred relevant represents retained round-robin screening sensors, sensors---t_Table sensors. series, signal simple stability steps studies. study studying suitable suite summarised target therefore, threshold trends users v.: variables vary versions. vicarious wavelengths, weighting work.


The 0.8 release of django-registration represents a complete rewrite of the previous codebase, and as such introduces a number of new features and greatly enhances the flexibility and customizability of django-registration. This document summarizes those features; for a list of changes which impact existing installations, consult the upgrade guide.
The largest overall change consists of factoring out the logic of user registration into pluggable/swappable backend classes. The registration views now accept a (required) argument, backend, which indicates the backend class to use, and that class has full control over the registration (and, if needed, activation) process, including:
For full details, see the documentation for the backend API.
The workflow used by previous releases of django-registration (two-step registration/activation) has been implemented using this system, and is shipped as the default backend in django-registration 0.8.
An alternate one-step registration system is provided, for use by sites which do not require a two-step registration/activation system.
During the registration and (optional) activation process, custom signals are now sent, allowing easy injection of custom processing into the registration workflow without needing to write a full backend.
The default backend now supplies several custom admin actions to make the process of administering a site with django-registration simpler.
The activate() view now supplies any captured keyword arguments from the URL (in the case of the default backend, this is the activation key) to its template in case of unsuccessful activation; this greatly simplifies the process of determining why activation failed and displaying appropriate error messages.


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Harry Kewell attends Hibs game but managerial candidate insists he's there as a 'friend of a friend'
The former Liverpool and Leeds United player is in attendance for the St Johnstone game.
by Gabriel McKayHarry Kewell has been spotted at McDiarmid Park after links to the vacant Hibs manager post.
The Easter Road club sacked Paul Heckingbottom earlier this week after a nightmare run which saw Hibs go winless since the opening day of the Premiership season.
Academy chief Eddie May is in charge for today's game as the hunt for a replacement goes on, and one of the contenders will be in the stands for the trip to St Johnstone .
Harry Kewell was linked with the role this week, and the Australian has been spotted taking pictures with fans outside the ground.
Sky Sports caught up with him outside the ground and the former Liverpool man played down the speculation.
Kewell said: "I'm just here as a friend of a friend, I'm just watching.
"I think it's a fantastic club. There's a lot clubs up for new managers and being out of work there's always speculation but like I said I'm just here to enjoy the game."
Kewell has previously managed Crawley Town and Notts County but has been out of work since leaving the latter after just 14 games.


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Recess - Simple SMS Waitlist Management
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Equator Climate Analysis
For this project, the task was to identify how weather changes as you get closer to the equator.
To complete this analysis, we pulled climate data from the
OpenWeatherMap API to gather a dataset on over 600 cities.
To get a random sample of cities, we used the
CityPy Library.
For the data visualizations, we used
Maplotlib to show the relationship between various aspects of the weather and the latitude.
This site contains a searchable and filterable data table and explanations of the trends and correlations discovered.
Please see
my Github page
for the jupyter notebook.
Special thanks to
Derek Eder
for his CSV to HTML table made with
Bootstrap and
jQuery.
I built this site using the theme available from
Bootswatch.


Users
Add User
Add User
Add a new user to the user repository
User Name
The user account login ID
Email
The user's primary email address
Given Name
The user's first name
Family Name
The user's family name
Password
Password
The user's initial password.
Confirm Password
Type password again to detect accidential typos.
Session Settings
Override the default session timeout for this user.
The default session timeout defaults to one hour and can be set by the jwt.ttl
environment variable.
Access Token Expiration Period
Idle user session expiration period
Unit
Expiration period temporal unit
Minutes
Hours
Days
Roles
Select the roles of the user.
{{role_name}}
{{description}}
Add user
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The Movie DB
's API to help you choose what movie to watch.


Would you like to sponsor Visvesmruti 2019 or just ask a question? If so, Please do get in touch!
Sir Mokshagundam Visvesvaraya (15 September 1861 TO 14 April 1962) was a notable Indian engineer,scholar, statesman and the Diwan of Mysore during 1912 to 1918. He was a recipient of the Indian Republic's highest honor, the Bharat Ratna, in 1955. He was knighted as a Commander of the British Indian Empire by King George V for his myriad contributions to the public good. Every year, 15 September is celebrated as Engineer's Day in India in his memory. Since last seven years we celebrated "Visvesmruti-2012","Visvesmruti-2013","Visvesmruti-2014","Visvesmruti-2015","Visvesmruti-2016","Visvesmruti-2017" and "Visvesmruti-2018"in the memory of Sir Mokshagundam Visveswaraiah. Just likes the previous year; our institute has conceptualized "Visvesmruti-2019" on 16th-17th September expecting promising students from various colleges. With great pleasure and enthusiasm we feel proud to proclaim our upcoming techfest "Visvesmruti-2019". We have organized this technical event to cultivate innovative technical abilities among the learners. And what can be a better platform than this event for the learners to give an outlet to their zest and gusto.
We have aimed to provide a sound platform to learners where they can realize their latent potential and sharpen their practical technological skills. This event wishes to be a forum for like minded learners where they can interact and exchange current technical knowledge. Our institute wants to mold the students into futuristic technocrats and to enable them to cop up the challenges with the qualities of confidence, sportsmanship spirit, innovative thinking, analytical abilities etc.
Moreover this techfest focuses also on spontaneous expression of creativity through various programs and competitions. So, let's witness the fervor of the learners in the lively exhibition of their power- packed performances.
“Technology by itself doesn't make leaders. Technology only amplifies true leadership”


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Next: Naming Conventions for Rest Parameters, Previous: The ``Syntax'' Section of a Dictionary Entry, Up: Interpreting Dictionary Entries
If two descriptions exist for the same operation but with different numbers of arguments, then the extra arguments are to be treated as optional. For example, this pair of lines:
file-position
stream ⇒ position
file-position
stream position-spec ⇒ success-p
is operationally equivalent to this line:
file-position
stream &optional position-spec ⇒ result
and differs only in that it provides on opportunity to introduce different names for parameter and values for each case. The separated (multi-line) notation is used when an operator is overloaded in such a way that the parameters are used in different ways depending on how many arguments are supplied (e.g., for the function /) or the return values are different in the two cases (e.g., for the function file-position).