| Parameter | Value |
|---|---|
| hashtag | #OzSingleCell19 |
| start_day | 2019-07-21 |
| end_day | 2019-07-23 |
| timezone | Australia/Melbourne |
| theme | theme_light |
| accent | black |
| accent2 | #7F7F7F |
| kcore | 3 |
| topics_k | 6 |
| bigram_filter | 3 |
| fixed | TRUE |
| seed | 1 |
An analysis of tweets from the #OzSingleCell19 hashtag for the Oz Single Cell conference 2019. The first day was a workshop and the main conference was day 2 and 3.
A total of 2028 tweets from 450 users were collected using the rtweet
R package.
Filtered for dates 2019-07-21 - 2019-07-23 in the Australia/Melbourne timezone.
The “replies network”, composed from users who reply directly to one another, coloured by PageRank.
The “mentions network”, where users mention other users in their tweets. Filtered for a k-core of 3. Node colour and size adjusted according to PageRank score.
| screen_name | text | retweet_count |
|---|---|---|
| PeteHaitch | The slides for my talk on ‘Overview of single cell bioinformatics’ are available from https://t.co/pXz6ooQRGW #ozsinglecell19 | 117 |
| trashystats | Did you know that your dimension reduction plots might be obscuring information? Not with #rstats package schex (https://t.co/7WaxV4x4yQ) #ozsinglecell19 https://t.co/5eW9W689tT | 68 |
| scottgigante | Survived my 30-minute sprint through “Machine Learning for Biologists” at #ozsinglecell19! Slides and notebook are available at https://t.co/HsFAYDv4sQ | 40 |
| PeteHaitch | Come work with me on single cell bioinformatics! We’ll soon be advertising a position at @WEHI_research to work on this and other exciting projects. Happy to chat if you’re at #ozsinglecell19 | 31 |
| PeteHaitch | Those interested in the nitty gritty of scRNA-seq normalisation will enjoy reading Aaron Lun’s secret blog https://t.co/DJ1Wq6ggzv #ozsinglecell19 | 30 |
| drjosephpowell | Interested in a postdoc or bioinformatician position and at #ozsinglecell19 ? We have both open. Come find me for a chat or send me a DM. https://t.co/8ptfdAkpq1 https://t.co/1v2gsnPDef | 24 |
| ozsinglecells | #ozsinglecell19 is going to be huge! We have 28 talks and 60 posters. You can now upload your posters and talks to our new @F1000Research channel! https://t.co/aZQ5KEP2yY | 18 |
| lazappi | First #ozsinglecell19 keynote from @satijalab #sketchnotes https://t.co/YpOpqWt9kN | 17 |
| shalinhnaik | It’s happening people #ozsinglecell19 https://t.co/s0R9OlDcuL | 15 |
| PeteHaitch | To round out a great session on single cell bioinformatics, @scottgigante with the unenviable task of teaching us machine learning in 30 mins Check out his teaching materials and slides https://t.co/wzXZnHlDyu #ozsinglecell19 | 14 |
| screen_name | text | favorite_count |
|---|---|---|
| PeteHaitch | The slides for my talk on ‘Overview of single cell bioinformatics’ are available from https://t.co/pXz6ooQRGW #ozsinglecell19 | 370 |
| Dr_Heather_Lee | Very sorry to be missing this year’s meeting #ozsinglecell19 @ozsinglecells, but my hands are full with a major project at the moment. In the last year I turned one single cell into… https://t.co/PZkkpftiLP | 201 |
| trashystats | Did you know that your dimension reduction plots might be obscuring information? Not with #rstats package schex (https://t.co/7WaxV4x4yQ) #ozsinglecell19 https://t.co/5eW9W689tT | 194 |
| shalinhnaik | It’s happening people #ozsinglecell19 https://t.co/s0R9OlDcuL | 124 |
| scottgigante | Survived my 30-minute sprint through “Machine Learning for Biologists” at #ozsinglecell19! Slides and notebook are available at https://t.co/HsFAYDv4sQ | 109 |
| PeteHaitch | Those interested in the nitty gritty of scRNA-seq normalisation will enjoy reading Aaron Lun’s secret blog https://t.co/DJ1Wq6ggzv #ozsinglecell19 | 78 |
| shalinhnaik | Thank you sponsors, speakers, OC, my lab, helpers, and my partners in crime @AliciaOshlack @drjosephpowell for a fantastic #ozsinglecell19. Most importantly thank YOU, the participants. Without your passion, intellect and openness, this would not be possible. See you next year! | 51 |
| 10xGenomics | 10x Co-founder and CSO Ben Hindson, was invited to speak at the #ozSingleCell19 Conference Dinner yesterday evening. A native of Australia, Ben’s inspirational story of how he co-founded 10x Genomics resonated powerfully with the attendees back home. https://t.co/GBMH2mhkIm | 48 |
| ozsinglecells | #ozsinglecell19 is going to be huge! We have 28 talks and 60 posters. You can now upload your posters and talks to our new @F1000Research channel! https://t.co/aZQ5KEP2yY | 46 |
| PeteHaitch | Come work with me on single cell bioinformatics! We’ll soon be advertising a position at @WEHI_research to work on this and other exciting projects. Happy to chat if you’re at #ozsinglecell19 | 46 |
| screen_name | text | quote_count |
|---|---|---|
| ozsinglecells | It’s almost happening. You’ll know when it starts and #ozsinglecell19 will got off and you’ll have serious FOMO if you are not here https://t.co/YWhTDrdh99 | 3 |
| DawnSLin | Can’t wait! First day back to work and first conference #postPhD. Excellent program, gonna be two days of great science!! #OzSingleCell19 https://t.co/v2IlcF2IOP | 3 |
| bettyzhang99 | Just wait until you see the #OzSingleCell19 temporary tattoos!!! They are 🔥🔥🔥 Can’t wait to attend the Sunday workshop! 🤗 https://t.co/vo3aTxOWbC | 3 |
| ozsinglecells | Let us know when you have submitted your poster or talk to the @F1000Research Oz Single Cell channel so we can all admire it! #ozsinglecell19 https://t.co/aZQ5KEP2yY https://t.co/95XfA3wUXV | 2 |
| AliciaOshlack | This is the only way to do posters IMO. Poster sessions are for chatting and 🍷 #ozsinglecell19 https://t.co/sgJr6AUhNz | 2 |
| drjosephpowell | One of the things I have enjoyed the most since we started oz single cell (and ACPC) is the openness and sharing between often very different disciplines. We all benefit from this! And we should resist possible barriers being created #ozsinglecell19 https://t.co/vKIrgRyIp8 | 2 |
| ScienceJill | Yes x 1000! Our most successful customers are fluent in both. #ozsinglecell19 https://t.co/w2jw4d7vJ0 | 2 |
| ozsinglecells | Heaps of computers for heaps of cells #ozsinglecell19 https://t.co/v8Ztcy7cSo | 2 |
| ElinSGrayPhD | ECR @weitao_lin attending the #ozsinglecell19 workshop. Awesome initiative! https://t.co/oqoWcWT95g | 2 |
| ozsinglecells | #ozsinglecell19 https://t.co/00MH5w2dyE | 2 |
| screen_name | text | favorite_count |
|---|---|---|
| Dr_Heather_Lee | Very sorry to be missing this year’s meeting #ozsinglecell19 @ozsinglecells, but my hands are full with a major project at the moment. In the last year I turned one single cell into… https://t.co/PZkkpftiLP | 201 |
| trashystats | Did you know that your dimension reduction plots might be obscuring information? Not with #rstats package schex (https://t.co/7WaxV4x4yQ) #ozsinglecell19 https://t.co/5eW9W689tT | 194 |
| shalinhnaik | It’s happening people #ozsinglecell19 https://t.co/s0R9OlDcuL | 124 |
| 10xGenomics | 10x Co-founder and CSO Ben Hindson, was invited to speak at the #ozSingleCell19 Conference Dinner yesterday evening. A native of Australia, Ben’s inspirational story of how he co-founded 10x Genomics resonated powerfully with the attendees back home. https://t.co/GBMH2mhkIm | 48 |
| scottgigante | “Bioinformatics is the Australian platypus” – @PeteHaitch at #ozsinglecell19 https://t.co/FInrdm7Lx6 | 43 |
| lazappi | First #ozsinglecell19 keynote from @satijalab #sketchnotes https://t.co/YpOpqWt9kN | 43 |
| shalinhnaik | #ozsinglecell19 https://t.co/DyaYWNp7qa | 37 |
| ozsinglecells | Childcare room all ready and nannies waiting for our little attendees #ozsinglecell19 https://t.co/52aBi65cqa | 36 |
| shalinhnaik | friends who science together party together @jonatcoquet @MartinGuilliams #ozsinglecell19 https://t.co/uBco7kwA8O | 35 |
| MartinGuilliams | Read single cell papers on my way to #OZSingleCell19 and I often miss meaningful biology. But not for the LAM paper from @IdoAmitLab & @EranElinav. WHAT.A.PAPER! From human to mouse. Disease kinetic, Spatial localization, Ontogeny, role of TREM2, Function in disease. RESPECT! https://t.co/aaAb5nIc22 | 35 |
The top 100 words used 3 or more times.
Words that were tweeted next to each other at least 3 times.
Top 10 words associated with 6 topics identified by LDA.
Most representative tweets for each topic
| screen_name | text | gamma |
|---|---|---|
| dralexswarbrick | Incredible talk from @Manu___Singh, postdoc at the Garvan Institute, finding the ‘rogue cells’ driving autoimmunity pathology. Single cell DNA&RNA Seq, BCR repertoire analysis and functional in vitro and in vivo assays. 🤯!!! #ozsinglecell19 | 0.9930506 |
| Tanya_C8 | This was well received at our demo today 😚 @Partek_Inc table at #ozsinglecell19 , colouring cells with multiple genes on the same plot and selecting them with lasso tool, cell classification process in sc analysis made easier with Partek Flow point and click interface https://t.co/7Rg4YQpRrO | 0.9927375 |
| mincle | The method follows cell division and numbers of divisions with cell transcriptional phenotype - concludes that population heterogeneity is driven by differences in founder cells. For In vitro blood, clonal families populate different mature cell types. #ozsinglecell19 | 0.9927375 |
| DaneVass | @PeteHaitch Great talk today at #ozsinglecell19 ! Do you typically analyse data locally for your single cell projects? With multiple tools now able to speed up analyses post-count table computation, if/when should one move to a server? Is it simply when cell numbers get huge? | 0.9923948 |
| Tanya_C8 | Filter out low-quality cells (doublets, cells damaged during cell isolation, or cells with too few reads) is important in single cell data analysis. Take a look on how to use these interactive filters in Partek Flow @Partek_Inc table at #ozsinglecell19 https://t.co/sdaWyZmnjR | 0.9923948 |
| TomAsh_1 |
Cool idea for #ozsinglecell19 Our (@SydneyCytometry) workflow for clustering and visualising high-dim cytometry data (https://t.co/XG4jKLS30B, workflow script, not a package) and our time-series clustering algorithm by Givanna Putri (https://t.co/DLsSgnVlOx). https://t.co/rRykOEZOWx |
0.9923948 |
| TomAsh_1 | #ozsinglecell19 do you like pseudo-time analysis? Why not actual-time analysis? Givanna Putri from our group created a time-series clustering tool called ‘ChronoClust’ – GitHub: https://t.co/sQu9X9sOGp, link to the paper at https://t.co/vEYUe8hKcF. | 0.9920182 |
| Tanya_C8 | In time for #ozsinglecell19 too is analysis of Gene Expression with Feature Barcoding (antibody) data , UMAP colored by gene and protein expression data in Partek Flow, @spatel_partek and me will be hanging out @Partek_Inc table for demos or just ☕🍰💻 https://t.co/qAtV0DoBoz | 0.9920182 |
| mincle | .@TheEllisPatrick on multiscale measurements of epithelial-virus infection #HIV and the challenges moving from qualitative image analysis to quantitative data analysis #ozsinglecell19 | 0.9893915 |
| m_mohenska | Awesome talk by @EnakshiSinniah from @n_palpant’s lab about utilising epigenetic information to determine regulatory genes in transcriptional data TRIAGE #ozsinglecell19 https://t.co/tFFRm9RqAm https://t.co/M8faCtsHbP | 0.9893915 |
| screen_name | text | gamma |
|---|---|---|
| mritchieau | .@LinYingxin from @sydneybioinfo explains her scClassify method, a multiscale classification method that works with cell type hierarchies. Gives low classification error rates and finer grained cell type identification on #scRNAseq data #ozsinglecell19 https://t.co/uT9xdavzrl | 0.9930506 |
| DrAshHaque | If you’re interested in using scATACseq and scRNAseq to study T cell differentiation, please chat to Dr. Josh Lee, Dr Jess Engel and 3rd year PhD student Megan Soon at #ozsinglecell19 @ozsinglecells. They’ll be happy to relate our experiences, and show you our App too! https://t.co/xQHouNMUaG | 0.9923948 |
| combine_au | Another student talk to finish of today’s #ozsinglecell19 computational session Xiaomei Li “Identifying cell locations from subsets of marker genes - A winning method for the DREAM 2019 Single Cell Transcriptomics Challenge” 🎉👨🎓👩🎓🎉 | 0.9923948 |
| DrAshHaque | If you missed my talk at ICMI2019 but want to talk about modelling Chromium scRNAseq data, please chat with Dr Jess Engel and Dr Josh Lee at #ozsinglecell19 this week. They, and others from my group will be delighted to chat. https://t.co/gIZrfmyBa0 | 0.9916023 |
| trashystats | Reminder that if you enjoyed the computational session at #ozsinglecell19 this morning, you may want to consider coming to BioCAsia in December in Sydney. We expect there to be much discussion on computational tools for single cell in #rstats. https://t.co/YImXNpyQJr | 0.9906255 |
| PeteHaitch | To round out a great session on single cell bioinformatics, @scottgigante with the unenviable task of teaching us machine learning in 30 mins Check out his teaching materials and slides https://t.co/wzXZnHlDyu #ozsinglecell19 | 0.9900466 |
| shalinhnaik | groups discussing ideas for the #pitchprize at #ozsinglecell19 for a $5000 @AGRF_genomics prize to use on any service they offer. Single cell, sequencing (short or long read). Looking forward to what zany ideas come out https://t.co/VBKaXXNSr9 | 0.9900466 |
| DrAshHaque | If you’re interested in studying single-cell parasites by scRNAseq, please chat with PhD student Lianne Lansink from my group in Melbourne this week, who will be happy to chat about all things malaria! @ozsinglecells #ozsinglecell19 https://t.co/gi0POxqHqj | 0.9900466 |
| bettyzhang99 | Online workflows & tutorials for single cell bioinformatics recommended by @PeteHaitch: @Bioconductor https://t.co/qOid7htWDb #Seurat @satijalab https://t.co/NGLfTMgtix #scanpy https://t.co/mGz3qWBZNG @ozsinglecells #ozsinglecell19 https://t.co/MvPLTajIqt | 0.9893915 |
| LianneLansink | Looking forward to be challenged on my bioinformatics knowledge and experimental data during the #ozsinglecell19 poster session! If you want to know more on Plasmodium scRNAseq come to find me at poster 51. There’s a great poster (52) next to mine on T cell memory as well! | 0.9893915 |
| screen_name | text | gamma |
|---|---|---|
| gmcderm |
Excited about heading to #OzSingleCell19 soon! Hopefully all this time in America hasn’t ruined my accent “Howdy mam, how many ounces of cells did you process to generate these results?”  This needs anatomical resolution to deconvolute properly. #ozsinglecell19 | 0.9906255 |
| bettyzhang99 | People working in statistics need to be aware of the practical challenges wet lab experiments face and work closely with biologists to mitigate batch effects whenever possible - paraphrase of @PeteHaitch’s insights into collaboration at #ozsinglecell19 | 0.9906255 |
| LGMartelotto | Satellite @10xGenomics on ATAC-Seq. “When Frankenstein meets Van Helsing: snRNA/ATAC-Seq from same nuclei prep” @UMCCR @PeterMacRes @WEHI_research @ONJCRI @mscienceaustnz #OzSingleCell19 https://t.co/iszT7qMqRA | 0.9900466 |
| carolyndg | @LongCai_Lab rapid increase of multiplexing of seqFISH over time #ozsinglecell19 also story of job insecurity in science, even when you are doing ridiculously innovative work that is creating a new field 😠 https://t.co/BszQ8klUQe | 0.9893915 |
| ACScytometry | This is it! Today is the very last chance for early bird and abstract submission!! At #ozsinglecell19 right now? Enjoyed @TomAsh_1 talk? Why not come learn more about the #singlecell world of a #cytometrist here in Melbourne 13-16th October #ACS2019 @ozsinglecells https://t.co/bxyh1QDi3a | 0.9893915 |
| gerald_goh | Comparing regularized negative binomial vs poisson & regular negative binomial models for normalizing scRNA-seq data #ozsinglecell19 @satijalab https://t.co/O1Wz0VJHeV | 0.9893915 |
| gerald_goh | Sexual dimorphism in gene expression patterns from cardiac hypertrophy mouse models. Fascinating work by Malathi Dona @BakerResearchAu #ozsinglecell19 https://t.co/f0YaY6GGsO | 0.9886440 |
| lazappi | Next up is Siok Tey “Analysing the peripheral blood maturation of natural killer (NK) cells following allogeneic bone marrow transplantation” #OzSingleCell19 | 0.9886440 |
| paulfharrison | Melbourne Uni’s famous central carpark under the lawn, like a spatial barcode under a lawn of cells. #ChriSNE #ozsinglecell19 #stretchingAnAnalogy https://t.co/dY2DZmMBsH | 0.9877833 |
| screen_name | text | gamma |
|---|---|---|
| MartinGuilliams | Beautiful use of mathematics to reconstruct cellular development by Leila Perié from @institut_curie #ozsinglecell19. Index sorted to track surface markers. Cell tracers to track divisions. Correlation between some surface expression (e.g. Sca1) and ancestry. Beautiful! https://t.co/IJ7SJ0ggYY | 0.9933379 |
| LinYingxin | CITE-seq data computational challenge: RNA data and protein data is like twitter and Facebook networks, integrating them leads to rare cell type identification 👩🏻💻 Great team work with Hani @HaniKim127 😊 #ozsinglecell19 https://t.co/ojAnePySKM | 0.9923948 |
| dgallegoortega | Impressive tour de force from @MartinGuilliams at #ozsinglecell19 showing the best practices on #genomicscytometry, florescent FACS data, CITE-seq and scRNAseq all integrated to understand biology of #kupffercells. I am a convinced #REAPseq fan https://t.co/PqfgmBvSGS | 0.9920182 |
| LGMartelotto | If I could summarise the #OzSingleCell19 Tech workshop with one single word I‘d say BLOODY FRIENDLY, DEFO TECHY, HEAPS of FUN and VERY AUSSIE. Yeah, that’s not one single word but this is my tweet 😁. What word would you use? | 0.9916023 |
| LGMartelotto | Hey sleepy head…wake up wake up wake up…time to head to #OzSingleCell19 workshops! Grab a brew (I mean coffee not beer, that’s for tonight) and come to the Technology Workshop! https://t.co/dsiOepPl1X | 0.9911408 |
| LianneLansink | Incredible resolution of seqFISH+ spatial single cell transcriptomics by @LongCai_Lab . Amazing and humbling to be among these scientists daring to create a whole new future of molecular biology at #ozsinglecell19 https://t.co/Y3htCZ0WDC https://t.co/ibhXIPYT8j | 0.9911408 |
| DaneVass | Had an amazing time at #ozsinglecell19. So much excellent science, technology and informatics packed into two days. Big thanks to the convenors, organisers, sponsors, commercial partners and of course this incredible single-cell community. Can’t wait for next year! 👏👏🙏🙏 | 0.9911408 |
| combine_au | More student talks at #ozsinglecell19 now Masters student Xiao Tan - “Machine learning approaches to integrating multiomics sequencing and spatial tissue imaging data”👨🎓 | 0.9900466 |
| m_mohenska | @10xGenomics impresses the audience at #ozsinglecell19, showcasing the future of spatial transcriptomics currently 55um resolution. Their roadmap highlights their amazing plans for the future of #spatialTranscriptomics https://t.co/OOx0fkfULM | 0.9893915 |
| lazappi | Xiao Tan telling us about using neural networks to combine image and RNA-seq data from spatial transcriptomics and classfy cell types #ozsinglecell19 | 0.9893915 |
| screen_name | text | gamma |
|---|---|---|
| 10xGenomics | 10x Co-founder and CSO Ben Hindson, was invited to speak at the #ozSingleCell19 Conference Dinner yesterday evening. A native of Australia, Ben’s inspirational story of how he co-founded 10x Genomics resonated powerfully with the attendees back home. https://t.co/GBMH2mhkIm | 0.9933379 |
| LGMartelotto | Hexagon shape feature, 65 um feature size (blending only a few cells) and 100 um pitch (Center to Center) in the new #Visium final-ish design from @10xGenomics! 9 hs workflow! Of note, RIN must be around 7 to qualify for good ST profiling. #OzSingleCell19 | 0.9930506 |
| PeteHaitch | Plot your single cell data using hexbin plots to avoid overplotting. This is a really neat idea! Check out @trashystats’s schex package https://t.co/OajTv4rx5r to do so. Includes bonus vignette on making #shiny dashboards #ozsinglecell19 | 0.9920182 |
| ivivek87 |
This is amazing to share the posters via @F1000Research #ozsinglecell19 👏🏽 Interesting approach for visual & social medium based engagements. I am hopeful more such initiatives will provide better networking opportunities. #posters #sciencetwitter #Conference #SingleCell https://t.co/6oaI7UREMF |
0.9916023 |
| 10xGenomics | We are excited for the next frontier in our 10x product line - the Visium #Spatial Gene Expression Solution! Here’s 10x Co-founder and CSO Ben Hindson, sharing more about this at this morning’s #ozSingleCell19 conference. https://t.co/A6khveIly8 | 0.9916023 |
| 10xGenomics | We are here at #ozSingleCell19 in Melbourne, Australia. Come visit our booth, learn about how 10x solutions can help your single cell research, and meet our 10x Co-founder and CSO Ben Hindson. https://t.co/cqrIdgdUlL | 0.9906255 |
| gerald_goh | .@KrishnaswamyLab on manifold learning: single cell data seem high dimensional due to ambient measurements; however, gene states are constrained and contain redundant information, and are therefore low dimension #ozsinglecell19 @YaleCancer | 0.9900466 |
| shazanfar |
FOMO strong today with the start of #ozsinglecell19 Also: your annual reminder that Tweetdeck lets you use AND/OR to grab all the official (and unofficial/typo) tags, gotta catch ’em all! https://t.co/jDbYlFXBoH |
0.9893915 |
| money_gupta |
|
0.9893915 |
| gerald_goh | Cross-platform cell type mapping combined with a hidden Markov random field model https://t.co/WXebuNSUqJ #ozsinglecell19 https://t.co/21INKVL1vm https://t.co/s5XHjzgEbX | 0.9886440 |
| screen_name | text | gamma |
|---|---|---|
| MGI_BGI | MGI, a subsidiary of BGI Group, will showcase our innovative single cell RNA sequencing solution at the #OzSingleCell19 conference July 22-23 in Melbourne. Don’t miss the chance to meet us at the BGI/MGI exhibition area. #MGI #BGI #singlecell #sequencing #RNAseq https://t.co/kC8maZBjrJ | 0.9936023 |
| 10xGenomics | 10x Staff Scientist Geoffrey McDermott presented a dataset using almost 200,000 CD8+ T cells & 44 specific antigens, demonstrating the immense and scalable power of the 10x #SingleCell Immune Profiling Solution. This paves a new way for exploring immunity. #ozSingleCell19 https://t.co/rhVlwZX7z4 | 0.9933379 |
| MartinGuilliams | Read single cell papers on my way to #OZSingleCell19 and I often miss meaningful biology. But not for the LAM paper from @IdoAmitLab & @EranElinav. WHAT.A.PAPER! From human to mouse. Disease kinetic, Spatial localization, Ontogeny, role of TREM2, Function in disease. RESPECT! https://t.co/aaAb5nIc22 | 0.9933379 |
| ClarksysCorner | Tom Weber introducing cellular barcoding with Loxcodes. An array of lox sites with intervening DNA being barcodes. CRE can randomise array and generate a very large number of cellular barcodes through mix of inversions and excisions. #ozsinglecell19 | 0.9923948 |
| LGMartelotto | What a wonderful single-cell 10x-perience at #OzSingleCell19!! Great talks, amazingly beautiful, smart and inspiring people…mixed feelings…I’m knackered but somehow I am already counting the days until #OzSingleCell20. Cheers 🍻 to an amazing rest of 2019! See you in 2020! | 0.9923948 |
| GammyAL | Want to perform scRNA Nanopore seq to link any gene genotype/isoforms with your usual 10X 3’ or 5’ scRNA data (retrospective captures too!)? All lead authors of RAGE-seq https://t.co/FirUsKAzxL are at #ozsinglecell19 Come see one of us! @Manu___Singh @carsweshau @dralexswarbrick | 0.9916023 |
| bettyzhang99 | Great beginner-friendly & comprehensive presentation from @TomAsh_1 on single-cell technologies incl. flow cytometry, mass cytometry, genomic cytometry, tissue mass cytometry and more! #ozsinglecell19 https://t.co/1bSwZHa1xE | 0.9911408 |
| bettyzhang99 | How do we combine all these single cell technologies? @TomAsh_1 provides some insights on combination workflows & data analysis approaches. It is important to learn from each other’s lessons and share knowledge across fields. #OzSingleCell19 https://t.co/p5ufArsqQV | 0.9906255 |
| gerald_goh | Nice data from @sunnyz_wu from @dralexswarbrick lab showing scRNA-seq from cryopreserved tissue generates highly robust data.


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We will discuss pointers here. Playing with pointers in C++ is really fun.
Now, let's again have a look at the declaration.
int a= 44;
As we know, the variable 'a' will take some space and will store 44 in it.
Now let's go to the undiscussed part. As we all know that when we declare 'a', it is given a memory location and the value of 'a' is stored in that memory location. In the world of programming, 'a' will also have an address. So, this address is the address of that memory location in which the value of 'a' is stored.
Address of 'a' is something like 0xffff377c. It will vary for every computer as per memory given to 'a' at that time.
Now coming to the pointer, a pointer points to some variable, that is, it stores the address of a variable. E.g.- if 'a' has an address 0xffff377c, then the pointer to 'a' will store a value 0xffff377c in it. So, if 'b' is pointer to 'a' and the value of 'a' is 10 and address is 0xffff377c, then 'b' will have a value 0xffff377c and its address will be different.
Address in C++ is represented as &a read as address of a. Remember that all the time when we were taking the value of 'a' using 'cin', we were taking an input from the user and storing it at the address of 'a', i.e. in a.
How to Use Pointers?
You must be enjoying programming in C++, and will do even more now. Till now, you have just seen what is a pointer. So, let's introduce pointers in our program.
int a = 44;
int *b; /* declaration of pointer b */
b = &a;
int *b - This statement should mean that '*b' is an integer but then what is the significance of '*' before 'b'? It means that b points to some integer ('b' is a pointer to some integer).
Or we can say that 'b' will store the address of some integer.
b = &a; - As said, 'b' will store the address of some integer because it is a pointer to an integer. In this declaration, it is storing the address of 'a'. Since 'b' is a pointer and '&a' represents address, so, by declaring 'b = &a;' we are storing the address of 'a' in 'b'.
So,
*b is the value of the variable 'b' is pointing to. Here *b is 44. As stated earlier, 'int *b;' means that '*b' is an integer, but '*' before means that b is a pointer. So, '*b' will be the value of the variable to which 'b' is pointing. Here, 'b' is pointing to 'a' therefore, 'b' will store the address of 'a' and '*b' will be the value of the integer to which 'b' is pointing i.e. 'a'
So, in short,
int a; - 'a' is an integer.
int *b; - 'b' is a pointer to an integer.
b = &a - 'b' is now pointing to 'a'(value of 'b' is the address of 'a').
'*b' will now represent a (value of '*b' is the value of 'a').
Let's see an example of pointers.
#include <iostream>
using namespace std;
int main(){
int a = 10;
int *p;
p = &a
cout << "p = " << p << endl;
cout << "*p = " << *p << endl;
cout << "&p = " << &p << endl;
cout << "*&p = " << *&p << endl;
return 0;
}
*p = 10
&p = 0xffff3778
*&p = 0xffff377c
As discussed earlier, 'p' is a pointer to 'a'. Since 'a' has a value of 10, so '*p' is 10. 'p' stores the address of a. So the output p = 0xffff377c implies that 0xffff377c is the address of 'a'. '&p' represents the address of 'p' which is 0xffff3778. Now, '*&p' is the value of '&p' and the value of '&p' is the address of 'a'. So, it is 0xffff377c.
Passing Pointers to Function
Let's first consider an example that will swap two numbers i.e., interchange the values of two numbers.
#include <iostream>
using namespace std;
void swap( int *a, int *b )
{
int t;
t = *a;
*a = *b;
*b = t;
}
int main(){
int num1, num2;
cout << "Enter first number" << endl;
cin >> num1;
cout << "Enter second number" << endl;
cin >> num2;
swap( &num1, &num2);
cout << "First number = " << num1 << endl;
cout << "Second number = " << num2 << endl;
return 0;
}
2
Enter second number
4
First number = 4
Second number = 2
Swapping means to interchange the values.
void swap( int *a, int *b ) - It means our function 'swap' is taking two pointers as argument. So, while calling this function, we will have to pass the address of two integers ( call by reference ).
int t; t = *a; We took any integer t and gave it a value '*a'.
*a = *b - Now, *a is *b. This means that now the values of *a and *b will be equal to that of *b.
*b = t; - Since 't' has an initial value of '*a', therefore, '*b' will also contain that initial value of '*a'. Thus, we have interchanged the values of the two variables.
Since we have done this swapping with pointers ( we have targeted on address ), so, this interchanged value will also reflect outside the function and the values of 'num1' and 'num2' will also get interchanged.
In the above example, we passed the address of the two variables (num1 and num2) to the swap function. The address of num1 is stored in 'a' pointer and that of num2 in 'b' pointer. In the swap function, we declared a third variable 't' and the values of 'a' and 'b' (and thus that of num1 and num2 ) gets swapped.
In normal function call ( call by value ), the parameters of a function are xerox copies of the arguments passed to the function. It is like we are passing xerox copies.
So altering them won't affect the real values.
But in call by referance, we pass the address of variables to the function. Passing address is like passing original 'x' and 'y'.
Altering the parameters will alter the real values also.
In the swapping example also, we used call by reference in which we passed the address of num1 and num2 as the arguments to the function. The function parameters 'a' and 'b' point to the address of num1 and num2 respectively. So, any change in the parameters 'a' and 'b' changes the value of num1 and num2 also.
Let's see a normal function call (passing values and not address) and try to alter the value of the variable.
#include <iostream>
using namespace std;
void swap( int a, int b )
{
int t;
t = a;
a = b;
b = t;
}
int main(){
int num1, num2;
cout << "Enter first number" << endl;
cin >> num1;
cout << "Enter second number" << endl;
cin >> num2;
swap( num1, num2);
cout << "First number = " << num1 << endl;
cout << "Second number = " << num2 << endl;
return 0;
}
2
Enter second number
4
First number = 2
Second number = 4
In the above example, we are trying to interchange the values of two variables. We passed num1 and num2 as arguments in the function swap. 'a' and 'b' are the copies of 'num1' and 'num2' respectively. In the swap function, the values of 'a' and 'b' got interchanged while the values of 'num1' and 'num2' remained unchanged.
So, you have seen that the numbers got swapped inside the function but outside it, there was no change. Because by passing values to functions, copies of the values got passed and not the real values. So, outside the function there was no effect on the variables.
If you have any confusion left, then just go through the above two codes again and you will understand it. If not, then you can always raise your doubts in the discussion section.
Pointers to Array
We also have pointers to array which we will see in the next topic Array.
Before moving to the next topic, practice a lot of problems on pointers so that you have a strong grip over it.
You are only good as the chances you take.
-Al Pacino


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Quaestor is a generic SPARQL endpoint, which allows you to upload ontology and instance data (also known as `TBox' and `ABox', respectively), and query the result.
See the list of knowledgebases which this Quaestor knows about.
You interact with Quaestor as follows.
To install Quaestor, download it from its distribution location, and follow the installation notes.
There is a walkthrough of a typical interaction with Quaestor. You can read that online, or download the walkthrough and supporting files.
The main Quaestor interface is a RESTful HTTP
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GET
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References to specifications and further information.
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, with
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interface elsewhere.


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Source code for datautils
"""Utilities for handling GUDHI and DELTA data types.
Converts internal data types used by GUDHI and provides methods for
reading and writing different data formats used by the DELTA team. In
particular, the following standard formats are used:
=========================== ================ ================ =============
Semantic Type Python data type File Format Specification
=========================== ================ ================ =============
Energy landscape (sampled) Numpy ndarray Numpy (`.npy`) https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html#module-numpy.lib.format
Energy landscape (meshed) Numpy ndarray Numpy (`.npy`) (same)
Sublevelset cubical complex Numpy ndarray Perseus (`.txt`) https://gudhi.inria.fr/python/latest/fileformats.html#perseus
Persistence intervals List of tuples GUDHI (`.pers`) https://gudhi.inria.fr/python/latest/fileformats.html#persistence-diagram
=========================== ================ ================ =============
Functions
---------
* intervals_in_dimension
* is_perseus_file
* remove_inf_bars
* write_sublevels
* write_barcodes
"""
# Standard packages
import numpy as np
[docs]def write_sublevels(cplx,filename,periodic=True):
"""Save a sublevel complex as a Perseus-type file.
Cubical complexes are arrays, but should be saved to disk in the
Perseus format for cubical complexes rather than using as a generic
csv file or similar. This method writes a cubical complex to disk
in the Perseus format, which GUDHI supports.
Parameters
----------
cplx : numpy ndarray
Array of appearance values for cells in a filtered cubical
complex.
filename : str
Name of file to write to.
periodic : bool, optional
If true, treat coordinates as periodic. Default is true since
n-alkane data naturally lives on a torus.
"""
sublevel_data = []
sublevel_data.append(cplx.ndim)
# TODO: Currently only allows ALL dimensions to be periodic or NONE.
# Consider adding more flexibility here.
if periodic:
for i in cplx.shape:
sublevel_data.append(-1*i)
else:
for i in cplx.shape:
sublevel_data.append(i)
sublevel_data = sublevel_data + cplx.reshape(cplx.size).tolist()
# TODO: Not sure this is the best way to write list to file
# especially given that our data can be very large.
with open(filename, 'w') as filehandle:
filehandle.writelines("%s\n" % item for item in sublevel_data)
# TODO: Writes barcodes to a text file. John is working on this.
# TODO: make this write in the `.pers` file format, see
# https://gudhi.inria.fr/python/latest/fileformats.html#persistence-diagram
# TODO: change input to a numpy ndarray object so persistence is not
# recomputed.
# TODO: Add an option for dimension?
def write_barcodes(input_file,out_filename,field=3):
f = open(input_file, "r")
# periodic_cubical_complex = gudhi.PeriodicCubicalComplex(
# perseus_file=input_file)
diag = periodic_cubical_complex.persistence(
homology_coeff_field=field, min_persistence=0)
g = open(out_filename, "w")
g.write(str(diag))
g.close()
f.close()
[docs]def array_to_barcodes(bar_array,dimn):
"""Convert an ndarray to a list of birth death times.
When computing only one dimension of homology, GUDHI returns an
array of birth/death times rather than a list of birth/death
tuples. This method converts such arrays into valid birth/death
lists so that standard interval methods can be used.
Parameters
----------
bar_array : n*2 numpy ndarray
Array of birth death times.
dimn : int
Dimension for which these are barcodes.
Returns
-------
intervals : list of tuples
List of persistent homology intervals.
Raises
------
ValueError : if the input array is not size n*2 (required to be
interpreted as barcodes).
Notes
-----
This method should not be necessary. The GUDHI documentation
specifies that an N*2 array of birth/death times is valid input to
any of the persistence graphical tools (see
http://gudhi.gforge.inria.fr/python/latest/persistence_graphical_tools_ref.html).
However, these methods to not seem to actually work unless the input
consists of a full persistence values list. Thus this method exists
to essentially duplicate the private `_array_handler` method in the
GUDHI graphical tools module.
"""
if bar_array.shape[1] != 2:
raise ValueError('Provided array not formatted as birth/death times.')
intervals = []
for r in bar_array:
intervals.append((dimn,tuple(r)))
return intervals
# TODO: make this valid
[docs]def is_perseus_file(path):
"""Determine if the file given is a valid cubical complex file.
Cubical complexes are specified by the Perseus file format,
documented at https://gudhi.inria.fr/python/latest/fileformats.html.
Parameters
----------
path : str
Path to a file.
Returns
-------
is_perseus : bool
True if the path corresponds to a valid perseus formatted file.
Raises
------
FileNotFoundError : if the path specified is not a file at all.
"""
is_perseus = True
return is_perseus
[docs]def remove_inf_bars(persistence):
"""Remove any bars in the persistence which are born at infinity.
When using the periodic cubical complex method it is possible for
persistence intervals to be born at infinity. These give an error if
passed to barcode or diagram plotting methods and need to be
removed.
Parameters
----------
persistence : list of tuples
A list of tuples of the form (dimn, (birth, death)).
Returns
-------
intervals : list of persistence
The input list, but with any entries where birth=infinity
removed.
"""
# Assumes the persistence is sorted by dimension from largest to
# smallest (as it should be from all standard methods).
intervals = persistence.copy() # Do not treat the input as mutable.
max_dim = intervals[0][0]
for i in range (0,max_dim+1):
try:
intervals.remove((i,(np.inf,np.inf)))
# TODO: probably better to pass this message as a return
# value.
print('Removed interval born at infinity in dimension ' +
str(i))
except ValueError:
pass
return intervals
[docs]def intervals_in_dimension(persistence,dimn):
"""Returns the persistence intervals in the given dimension.
When GUDHI computes persistence it always computes in all
dimensions, however sometimes it is desirable to only return the
intervals in a single dimension (e.g. if there are a very large
number of total intervals).
Parameters
----------
persistence : list of tuples
A list of tuples of the form (dimn, (birth, death)).
dimn : int
Dimension of homology to return.
Returns
-------
intervals : list of tuples
The list of intervals in the form (dimn, (birth, death)) where
dimn is restricted to the specified dimension.
Notes
-----
This function is not strictly necessary since most GUDHI objects
possessing persistence have a `persistence_intevals_in_dimension()`
method. However, sometimes it is convenient to work with the
already-returned list of intervals rather than the complex object.
"""
intervals = []
for i in persistence:
if i[0] == dimn:
intervals.append(i)
return intervals


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SUDDEN DEATH A film review by James Berardinelli Copyright 1995 James Berardinelli
RATING (0 TO 10): 3.0
United States, 1995 U.S. Availability: 12/22/95 (wide) Running Length: 1:50 MPAA Classification: R (Violence, language) Theatrical Aspect Ratio: 2.35:1
Cast: Jean-Claude Van Damme, Powers Boothe, Raymond J. Barry, Whittni Wright, Ross Malinger, Dorian Harewood Director: Peter Hyams Producers: Moshe Diamant and Howard Baldwin Screenplay: Gene Quintano Cinematography: Peter Hyams Music: John Debney U.S. Distributor: Universal Pictures
The "DIE HARD formula" rears its head several times each year, sometimes with great success (SPEED), but more often as a miserable failure (UNDER SIEGE 2). SUDDEN DEATH, a DIE HARD meets BLACK SUNDAY action flick with Jean-Claude Van Damme playing the hero, falls squarely in the latter category.
Admittedly, any DIE HARD clone is going to demand a heavy dose of the ever-popular "suspension of disbelief". However, there's a significant difference between accepting a few contrived plot devices and being asked to swallow a storyline that is utterly preposterous and implausible. Nothing in SUDDEN DEATH makes any sense, and there are times when the action is so outlandish that the film moves into the realm of self-parody. About the best thing that can be said about this movie is that the action scenes, directed by Peter Hyams (OUTLAND), are choreographed with flair. Unfortunately, the material connecting them is worthless.
Van Damme plays the typical John McLane-type hero: some down-on- his-luck guy who gets stuck in the crossfire when a nastier-than-nasty bad guy (suavely essayed by Powers Boothe) decides to take some hostages. In this case, our villain chooses game 7 of the Stanley Cup Finals at Pittsburgh's Civic Arena to spring his trap. His hostages -- in addition to every man, woman, and child in the stands -- include the Vice President and Van Damme's daughter (Whittni Wright). If a huge sum of money isn't transferred into his numbered bank accounts, he's going to start killing people -- first one or two, then everybody attending the game.
While trying to stop Boothe's Foss, Van Damme gets to fulfill a fantasy: defend the Penguins' goal at a critical juncture of the game. Never mind that no one, including his teammates, recognizes he's not the real goalie, or that he's supposed to be finding and defusing bombs instead of slapping around a puck on the ice. If this seems like the scene from THE NAKED GUN where Leslie Nielsen impersonates an umpire, it's probably just a coincidence, although both films have about the same level of believabilty in these instances.
Hard as it may be to accept, Van Damme has finally found a cast that acts on his guttural level. Powers Boothe looks as if he could care less about the role, and appears content to do the absolute minimum to cash his check. He's neither sinister nor menacing, and doesn't offer a single biting one-liner. The young actors playing Van Damme's children are awful and Raymond J. Barry's Vice President is a walking, talking cliche.  For a movie trying to build suspense through the dynamics of character relationships, that's a fatal flaw.
Simply put, SUDDEN DEATH is a bad movie. Although not quite as unwatchable as two of this year's similar entries -- MONEY TRAIN and UNDER SIEGE 2 -- the film has virtually nothing to recommend it to anyone who allows their brain to continue functioning while in the audience. Deriving shallow enjoyment from SUDDEN DEATH's poorly-acted, extravagantly absurd series of predictable action sequences demands one of three characteristics: an irrational fondness for Van Damme, a love of stale, artless films, or an unhealthy tendency towards masochistic experiences.
- James Berardinelli<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
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Broken URLs inthe reviews are the responsibility of the author.
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| Figure 1 |
Detailed sampling locality information, chlorotype distribut ... |
| Figure 2 |
( a) Tamarix austromongolica at site SHQ; ( b) Tamarix chine ... |
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Past demographic history based on ( a) samples of cpDNA from ... |
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Our Epithelium 2019
Piece with gaps for each other 2016—18
Self Made Man Man Made Land 2013
Group Dynamics and Visual Sensitivity 2011
Excellent Handicap 2010
Fields of Ida 2009
Aaron Mattocks 2009
Smearcase 2008
Garden of Earthly Delights 2007
Nobody Try To Be A Hero 2005
You Are Responsible Forever For What You Tame 2004
Superheavy Western 2003
The Forgotten Fish Memory Orchestra 2003


HSL color values are supported in IE9+, Firefox, Chrome, Safari, and in Opera 10+.
HSL stands for hue, saturation, and lightness - and represents a cylindrical-coordinate representation of colors.
An HSL color value is specified with: hsl(hue, saturation, lightness).
Hue is a degree on the color wheel (from 0 to 360) - 0 (or 360) is red, 120 is green, 240 is blue. Saturation is a percentage value; 0% means a shade of gray and 100% is the full color. Lightness is also a percentage; 0% is black, 100% is white.
color wheel is divided into 3 main color means 360/3=120
0 or 360 (red)
0+120=240(green)
240_130=360(blue)
bg-color should be red color
bg-color should be green color
bg-color should be near to color
bg-color should be near to red color(in gray shade)


Touchsweep
Detect your swipe events direction
Installation
npm install touchsweep
# or
yarn add touchsweep
Usage
import TouchSweep from 'touchsweep';
const area = document.getElementById('area');
const instance = new TouchSweep(
area,
{
value: 1
},
20
);
area.addEventListener('swipeleft', event => {
// Swipe direction: left
});
area.addEventListener('swiperight', event => {
// Swipe direction: right
});
area.addEventListener('swipeup', event => {
// Swipe direction: up
});
area.addEventListener('swipedown', event => {
// Swipe direction: down
});
area.addEventListener('swipemove', event => {
// Swipe direction: none
// Swipe event: swipemove
});
area.addEventListener('tap', event => {
// Swipe direction: none
});


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Name: Amazon.com Gift Card in a Greeting Card
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{% extends "base.html" %} {% load bootstrap4 %} {% block content %}
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- In the last lesson, we learned about
control flow statements such as "if-else" and "for".
- In this lesson, we will work on a
new
problem and learn about general problem solving
techniques.
Problem...
"Given a day, the program should print if it is a weekday or
weekend."
Example...
$ python3 day_of_the_week.py monday
weekday
$ python3 day_of_the_week.py sunday
weekend
Techniques...
-
Divide the problem into smaller ones.
-
Write something that works and slowly improve it.
-
Solve the problem for some example inputs and then
write the program.
Home work...
Given a word, your program should print number of vowels in the word.
Examples...
$ python3 count_vowels.py "test"
Number of vowels: 1
$ python3 count_vowels.py "it is snowing"
Number of vowels: 4
$ python3 count_vowels.py "xyz"
Number of vowels: 0


What first got me interested in massage was an injury I sustained during martial arts training. I had an over excited partner put me in an ankle lock that went to far. Luckily, one of my classmates was a medical doctor, and my instructor had some massage experience included with his training. Between the two of them I was able to walk on my ankle the very next day. That is when I realized the benefits of massage in healing the body.
Since then, I have made it my goal to be able to provide others with the same relief that I was given. Throughout my schooling I've focused on developing the skills needed to be able to help the body in its healing processes. I have experience working with professional athletes, children, and everything in between. I am focused on my clients, and adapt my work to meet their individual needs.
“Perfect pressure. Excellent Flow. Good detail” -Annabell D
“Great job, Thanks!” -Lisa B
“Very good grounding” -Emily K
“Great communication” -Tom N
“Really good work” - Brian S
“Made me feel very comfortable.” Jeanna B
“Felt very relaxed! Felt Great!” - Macall C
“Very open and really helped me with my back pain.” -Katherine C


Some text with font
and and s
elements.
strike
Images without @alt
, empty @alt
, and @alt
that is available:
|
Links that point to regular and special files like GIF images or JPG or PNG or PDF files.
Empty span
elements (), empty div
elements:
…but empty div
or span
elements using an @id
are cool (due to likelihood of scripting purposes), like this friend (in parentheses): ()
A paragraph with @style
.


 That means that people who could be living a block away from your place could still be your internet friends if you just hang out online and never see each other in real life.
 Generally communication with others has always been important for creatures to survive.
What people usually call internet or online friends are people that you talk to online, usually don't see in real but who you only meet online. It is possible that your friendship can start out as an online one but you can also become friends in real life, for example if one moves closer to the other making it possible to meet each other in person.
You could say internet friends are a occurrence but going by some definitions a pen pal might also just be an internet friend but you write letters to eachother instead of chatting online
Take a survey to test what kind of person you is.


It would be really cool to have a field where you could enter a comment about people on your friends list. I tend to friend people after playing a good round with (or against) them, but then later I forget who they were or why they were added to my list (IE. were they kicking ass in the jet, PTFO-ing like crazy, being great at ressing etc). Just a small field to add a comment that would be stored as a cookie or similar would be cool.
BrainFooLong
Administrator
This is a very special request that not be usefull for most of other players.
So, rejected.


| S.No | Warranty Holder | Product Name | Product Type | Action |
|---|---|---|---|---|
| 01. | Jhon Doe | Lorem Ipsum | Lorem Ipsum | |
| 02. | Jhon Doe | Lorem Ipsum | Lorem Ipsum | |
| 03. | Jhon Doe | Lorem Ipsum | Lorem Ipsum | Accepted |
| S.No | Warranty Holder | Product Name | Product Type | Action |
|---|---|---|---|---|
| 01. | Jhon Doe | Lorem Ipsum | Lorem Ipsum | |
| 02. | Jhon Doe | Lorem Ipsum | Lorem Ipsum | |
| 03. | Jhon Doe | Lorem Ipsum | Lorem Ipsum | Accepted |


Thoughts on MaxScale automated failover (and Orchestrator)
Having attended a talk (as part of the MariaDB Developer Meeting in Amsterdam) about recent developments of MaxScale in executing automated failovers, here are some (late) observations of mine.
I will begin by noting that the project is stated to be pre-production, and so of course none of the below are complaints, but rather food for thought, points for action and otherwise recommendations.
Some functionality of the MaxScale failover is also implemented by orchestrator, which I author. Orchestrator was built in production environments by and for operational people. In this respect it has gained many insights and had to cope with many real-world cases, special cases & Murphy’s law cases. This post compares logic, feature set and capabilities of the two where relevant. To some extent the below will read as “hey, I’ve already implemented this; shame to re-implement the same”, and indeed I think that way; but it wouldn’t be the first time a code of mine would just be re-implemented by someone else and I’ve done the same, myself.
I’m describing the solution the way I understood it from the talk. If I’m wrong on any account I’m happy to be corrected via comments below. Edit: please see comment by Dipti Joshi
General overview
The idea is that MaxScale operates as a proxy to your topology. You do not connect to your master directly, but rather through MaxScale. Thus, MaxScale acts as a proxy to your master.
The next phase is that MaxScale would also auto-detect master failure, fix the topology for you, promote a new master, and will have your application unaware of all the complexity and without the app having to change setup/DNS/whatever. Of course some write downtime is implied.
Now for some breakdown.
Detection
The detection of a dead master, the check by which a failover is initiated, is based on MaxScale not being able to query the master. This calls for some points for consideration:
- Typically, I would see “I can’t connect to the master therefore failover” as too hysterical, and the basis for a lot of false positives.
- However, since in the discussed configuration MaxScale is the only access point to the master, the fact MaxScale cannot connect to the master means the master is inaccessible de-facto.
- In light of the above, the decision makes sense - but I still hold that it would make false positives.
- I’m unsure (I think not; can anyone comment?) if MaxScale would make multiple attempts over time and only reach the conclusion after X successive failures. This would reduce the false positives.
- I’m having a growing dislike to a “check for 4 successive times then alert/failover” Nagios-style behavior. Orchestrator takes a different approach where it recognizes a master’s death by not being able to connect to the master as well as being able to connect to 1st tier slaves, check their status and observe that they’re unable to connect to the master as well. See What makes a MySQL server failure/recovery case?. This approach still calls for further refinement (what if the master is temporarily deadlocked? Is this a failover or not?).


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Bedside manner could affect pain of blood draws
by HealthDay NewsHow much pain you feel when blood samples are taken could depend on how nice the person wielding the needle is, new research suggests.
Patients were 390 percent more likely to say their pain was well-controlled when the person taking their blood was courteous, according to a study presented recently at the Anesthesiology annual meeting, in Orlando.
"It's not surprising that a courteous healthcare provider can improve the patient experience, but we were shocked at just how powerful that factor was," said lead author Mario Moric, a biostatistician at Rush University Medical Center, in Chicago.
"We thought the more needle sticks, the higher the pain perception, but we found that effect was small. It turns out the experience of pain is much more significantly affected by the attitude of the people treating you," Moric said.
The study included more than 4,700 hospitalized adult patients who had an average of 3.8 blood draws during their hospital stay. The patients were asked about the pain they experienced while having blood taken and about the courtesy of the people who took the blood samples.
The results showed that pain was significantly lower when the healthcare worker taking blood was courteous -- for example, asking about patients' previous experiences with needles and taking their preferences into account.
According to study co-author Dr. Asokumar Buvanendran, "It's important to continue to improve healthcare procedures by making them less invasive, but listening to patients and letting them know you are trying to minimize their discomfort also is really powerful and should be a focus for all healthcare training programs." Buvanendran is chair of the American Society of Anesthesiologists Committee on Pain Medicine and vice chair of research at Rush University Medical Center.
"Being kind makes a big difference in the patient experience, and that's good for everyone," he added in a meeting news release.
Research presented at medical meetings should be considered preliminary until published in a peer-reviewed journal.
More information
The U.S. National Heart, Lung, and Blood Institute has more on blood tests.
Copyright 2019 HealthDay. All rights reserved.
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This inspection is especially useful for Pascal style declarations at the beginning of a method. Additionally variables with too broad a scope are also often left behind after refactorings.
Example:
StringBuilder sb = new StringBuilder();
System.out.println();
sb.append(1);
After the quick-fix is applied:
System.out.println();
StringBuilder sb = new StringBuilder();
sb.append(1);
Configure the inspection:
sb
variable above.
However, it will be suggested for the following code:
StringBuilder sb = new StringBuilder(a);
if (flag) {
sb.append(1);
}
foo
variable:
class Foo {
static List<Foo> fooList = new ArrayList<>();
String bar;
Foo(String bar) {
this.bar = bar;
fooList.add(this);
}
public static void main(String[] args) {
// movement is possible even though is unsafe
Foo foo = new Foo("bar");
System.out.println(fooList.size());
System.out.println(foo.bar);
}
}


ENDAMOLE IOT
This is the first project to be shared over here. This is a home automation system
that I am thinking of implementing in my home. It will be based on the Arduino IOT cloud.
HARDWARE:
1. Arduino MKR 1010
2. 220V Relay module
3. Wires
SOFTWARE:
1. Arduino IOT cloud
I have not acquired all the parts yet. Once I do, I will post all the steps and photos and videos. Adieu till then!


--- layout: default title: EHST'17 - Accommodation meta: A list of nearby hotels from the venue is provided along with their contact information. keyword: solar thermal energy, solar cell theory and applications, biomass, biofuel, bioenergy, smart buildings, smart lightings, wind energy, geothermal energy, wave energies, tide energies, nuclear energies, prospects, issues, battery energy storage, energy storage, hydroenergy, energy financing, energy companies challenges, energy distribution, energy conversion, electric vehicles, fossil fuels, energy change, climate change, energy pollution, environmental pollution, energy, nanotechnology, low carbon technologies, energy infrastructures, marketing, economy, societal aspects, global energy policy, energy and transportation, sustainable energy, energy efficiency-achievements and challenges, energy management, fuel cells ---
We are pleased to announce that the Chelsea Hotel Toronto is offering a special discounted rate for the delegates of EHST'17. The discounted rate will only be available until August 4, 2017. To take advantage of the discount, please book your room before then.
| Hotel | Google Map Direction | Walking Distance |
| The Chelsey Hotel Toronto | https://goo.gl/maps/5FneDEZ9sKD2 | 8 Min. |
The Chelsey Hotel Toronto | 4 Stars
Address: 33 Gerrard St W, Toronto, ON M5G 1Z4.
You can book your room at the discounted rate by using the link below or by calling the hotel.
Book Online: Booking Form
Call: You may call the hotel directly, toll-free 1-800-CHELSEA (243-5732) or<PHONE_NUMBER>. Please identify yourself as part of the “Conference at Ryerson” and call prior to the cut-off date, August 4, to take advantage of the discount.
Availability is not guaranteed. We encourage you to secure your reservation as soon as possible.
For more information regarding this hotel and making online reservation, please visit the link below:
www.chelseatoronto.com TOP