175 Matching Annotations
  1. Mar 2021
    1. o put it in the language of psy­chology, there are limits on the number of distinct concepts which we can manipulate cognitively at any one time, and we. are therefore forced, if we wish to get a view of the whole problem, to re-encode these items.1
  2. Feb 2021
    1. Another HD wallet solution to generate privacy is a so-called merge and re-split operation. In this example, several entities anonymously submit new addresses to a smart contract. The contract collects the same amount from each party, let's say it's 100 bitcoins each. Then the contract re-deploys the amount to the new addresses.

      workaround to avoid full trace with attribution

  3. Nov 2020
    1. There is no rerender, when you call listen, then all scroll events will warn on chrome. See this entry from svelte: breaking the web

      Even the author of this library forgot this about Svelte?? :) (Or maybe he didn't and this response misunderstood/falsely assumed that he had.)

    1. If you rely on any external dependencies (files required in a preprocessor for example) you might want to watch these files for changes and re-run svelte compile. Webpack allows loader dependencies to trigger a recompile. svelte-loader exposes this API via options.externalDependencies.
  4. Oct 2020
    1. The original promise of React was that you could re-render your entire app on every single state change without worrying about performance. In practice, I don’t think that’s turned out to be accurate. If it was, there’d be no need for optimizations like shouldComponentUpdate (which is a way of telling React when it can safely skip a component)
  5. Sep 2020
    1. useField() returns FieldRenderProps. It will manage the rerendering of any component you use it in, i.e. the component will only rerender if the field state subscribed to via useField() changes.
    1. Since you often want to do calculations based on state, Svelte also has the “reactive declaration” symbol, $:. It’s like a let declaration, but whenever any variable referenced in the expression — count in this case — is updated, the expression is re-run, the new variable’s value is updated, and the component is re-rendered.
    2. The heart of Svelte’s magic is “reactivity”. Every let declaration sets up a listener, where any time the variable is assigned to, the change triggers a render of the component. So when the increment function calls count++, the component will re-render, which will update the value shown to the user by Count: {count}.
    1. To change component state and trigger a re-render, just assign to a locally declared variable.
    1. repetition of yes all leads up to the final yes to marriage. the lack of punctuation also makes the whole thing read as if it's being said very quickly, as if a lot of thoughts are happening all at once.

    1. losing

      the repetition of the many forms of the verb "to lose" highlights the theme of loss throughout the poem without the poet having to explicitly tell the reader what it is about

  6. Aug 2020
    1. In the two years that I've been working with React professionally, I've never come to a point where I needed to force a re-render. I encourage you to read the article from the beginning if that's what you're here for because usually there's a better way of dealing with React components that aren't updating.
    1. Cajner, T., Crane, L. D., Decker, R. A., Grigsby, J., Hamins-Puertolas, A., Hurst, E., Kurz, C., & Yildirmaz, A. (2020). The U.S. Labor Market during the Beginning of the Pandemic Recession (Working Paper No. 27159; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27159

  7. Jul 2020
  8. Jun 2020
  9. May 2020
  10. Jan 2020
  11. Jul 2019
    2. Conclusion
    3. ROS ASSAY
    4. In vitro cytotoxic activity of methanolic extract of N. sativafrom different germination phasesduringSRB assay
    5. n vitro cytotoxic activity of methanolic extract of N. sativafrom different germination phasesduringMTT assay
    1. Relative distribution of virulence genes among V. parahaemolyticusfrom Cochin estuary, shrimp farm and sea food
    2. Prevalence of type III secretion system genes amongV. parahaemolyticusfrom Cochin estuary, shrimp farm and seafood
    3. Prevalence of tdhand trhgenes among V. parahaemolyticusfrom Cochin estuary, shrimp farm and seafood
    4. Relative prevalence of extracellular virulence factors among Vibriofrom Cochin estuary, shrimp farm and seafood
    5. Prevalence of extracellular virulence factors in Vibriofrom seafood
    6. Prevalence of extracellular virulence factors in Vibriofrom shrimp farm
    7. Prevalence of extracellular virulence factors in Vibriofrom Cochin estuary
    1. Plasmid curing of Vibriofrom Cochin estuary,shrimp farms and seafood
    2. Plasmid profiles among Vibriofrom Cochin estuary, shrimp farms and seafood
    3. Distribution of antibiotic resistance genes in Vibriofrom Cochin estuary, shrimp farm and seafood
    4. MAR indexingand antibiotic resistance pattern amon
    5. Relative antibiotic resistance amongVibrioisolated from Cochin estuary, shrimp farm and seafood
    6. Antibiotic resistance among Vibriofrom seafood
    7. Antibiotic resistance amongVibriofrom shrimp farm
    8. Antibiotic resistance amongVibriofrom Cochin estu
    9. Antibiotic resistance amongVibrio
    10. Plasmid curing of Vibriofrom Cochin estuary,shrimp farms and seafood
    11. Distribution of antibiotic resistance genes in Vibriofrom Cochin estuary, shrimp farm and seafood
    12. MAR indexingand antibiotic resistance pattern amon
    13. Relative antibiotic resistance amongVibrioisolated from Cochin estuary, shrimp farm and seafood
    14. Antibiotic resistance among Vibriofrom seafood
    15. Antibiotic resistance amongVibriofrom shrimp fa
    16. Antibiotic resistance amongVibriofrom Cochin estu
    17. Antibiotic resistance amongVibrio
    1. Genbank accession numbers
    2. Seasonal variation in the diversity and distribution of Vibrioin Cochin estuary
    3. Relative diversity and distribution of Vibrioin the water and sediment of Cochin estuary
    4. Species level identification and distribution of Vibriospecies in Cochin estuary
    5. Environmental parameters
  12. sg.inflibnet.ac.in sg.inflibnet.ac.in
    1. Active site identification, metal detection and interaction of Dof domain structure
    2. Superposition of the Dof domain with predicted 3D structure
    3. Validation of the predicted 3D structure
    4. Tertiary structural prediction
    5. Secondary structural prediction
    6. Secondary and tertiary structure prediction of SbDof proteins o
    7. Cis-regulatory elements analysis
    8. Motif analysis
    9. Evolutionary relationships of sorghum, rice and Arabidopsis with respect to Dofgene family
    10. Gene structure prediction
    11. Phylogenetic relationships among Dofproteins of sorghum
    12. Chromosomal locations
    13. In silico prediction of Dof gene family of sorghum
    14. Genome wide identification and in silico characterization of Dof gene family of sorghum
    15. Phylogenetic and motif analysi
    16. In silico characterization of cloned Dof gene
    17. Phylogenetic and motif analysis of sequenced Dof domains
    18. In silico characterization of sequenced Dof domains of cereal
    19. Sequencing of Dof domain and gene
    20. Cloning of Dof genes of sorghum using pBSK vector
    21. Cloning of Dof domain and Dof genes using pGEM-T Easy
    22. Gel elution of PCR products
    23. PCR based cloning, sequencing and in silico characterization of Dof domain and Dofgenes of cereals and millet
    24. Comparative analysis of cereals and millets based on banding patterns generated by Dof domain and Dof genes-specific primers
    25. PCR amplification of Dof gene
    26. PCR amplification of Dofdomain
    27. PCR amplification of Dof domain and Dof genes
    28. Primer designing for PCR amplification of Dof domain and Do
    29. Isolation, purification and quantification of genomic DNA
    30. PCR amplification of Dof domains/genes and studying the polymorphisms generated by different sets of primers for cereals and millets
    1. Estimation of antibody response in rLdADHT+BCG vaccinated hamsters
    2. Estimation of mRNA cytokines in rLdADHT+BCG vaccinated hamsters as well as in control groups
    3. Immunological Responses (DTH, mitogenic and Leishmania-specific cellular responses)
    4. Assessment of parasitic burden in hamsters vaccinated with rLdADHT+BCG and challenged with L. donovan
    1. The recombinant Th1 stimulatory proteins (rLdADHT, and rLdTPR,) induced lymphoproliferative and NO responses in normal/infected/cured hamst
    1. The table 6.1 gives the mixing probabilities and the associated parametricvalues fork(number of components) = 2,3, and 4. It may be noted thatthe Log likelihood value is smaller fork= 4 (the results fork= 5 , 6 etc.are not better than that fork= 4 and hence are not given here). The fourcomponents Poisson Mixture model is given in table 6.2. It may be notedthat 58% of wards may have higher incidence/relative risk and the remainingwards have lesser/lower incidence for the Cancer disease. We computed theposterior probability for each component for each ward (see table 6.3). Eachward is assigned to a particular component so that the posterior probability islarger. These results are also given in table 6.3 Finally we present Choroplethmaps based on those results
    1. We have analysed the Cancer data of patients in 155 wards of Chennai Cor-poration by the above described method. As preliminary analyses, we havecreated the Choropleth maps for Observed counts, Population of wards, ex-pected counts for patients and SMR's.The Choropleth map for the observed counts Figure 5.2 does not show anypattern. But the Choropleth map for the expected counts Figure: 5.4 indi-cate that the inner regions of the Chennai Corporations have lower expectedcounts and the regions along the border have larger counts of patients. As ameasure of spatial heterogeneity we have computed PSH= 0:7108:Hence ofthe total spatial random variation, nearly 71% is due to spatial heterogene-ity and the remaining 28:92% is due to Poisson variation. Thus the spatialvariation is present in the data.The Choropleth map for Empirical Bayes smoothed rates Figure 5.5 re-veals that only 13 sub regions have high risk values. The wards with numbers53, 64, 67, 70, 78, 93, 100, 103, 110, 117, 122, 147 and 151 have high riskvalues. Though this information could be used by the health managers toconcentrate their work on these regions, one can look for additional covariatesin these regions for further study
  13. Jun 2019
    1. Dominance of regulatory transitional B cellsand lower memory B cells in HBsAgpositive compared to negative newborns
    2. Post vaccination enhanced expression of activation marker CD69 and Chemokine receptor CCR5 on memory B cells in HBV positive newborns
    3. Post-vaccination declination of Transitional B cell population and increase in memory B cells in HBV positive newborns
    4. Increased Chemokine and Toll like receptor on T cells after vaccination in HBV positive newborns.
    5. Vaccination improved the Chemokine receptor CCR1, CCR3, CCR9 and Toll like receptor TLR2, TLR4 and TLR9 expression in HBsAgpositive newborns compared to healthy newborns.
    6. T cell frequencies(Post vaccination response)
    7. Post-vaccination immune responses in newborns
    8. IFN γ production by CD8 T cells upon stimulation with PMA and viral peptides
    9. Decreased CD3 ζ chain expression on CD8 T cells in HBsAgpositive newborns
    10. Phenotypic and Functional Characterization of CD8 T cells in cord blood
    11. Cord Blood immune profiles of HBV positive newborns at birth(Cord blood vs. peripheral blood)
    12. Pre-vaccination:Lower Chemokine and Toll like receptor expression in HBsAgpositive newborns:
    13. T cell phenotypic distribution in HBsAgPositive, HBsAgNegative from HBsAg positive mothers and healthy newborns.
    14. Clinical characteristics of the subjects
    15. CD107a expression (marker of cytotoxicity)
    1. Age, Height, Weight and Height-Weight Ratio
    2. Per cent Overlap:
    3. Somatotype Categories:
    4. Mean Somatotypes:
    5. Urban-Rural Somatotype Comparisons
    6. somatotype Categories:
    7. Mean Somatotypes:
    8. Age Changes in' Somatotypes
    9. somatotype Categories:
    10. Range of Component Ratings:
    11. Somatocharts:
    12. Mean Somatotypes:
    14. Somatotype Categories:
    15. Range of Component Ratings:
    16. Somatocharts:
    17. Mean Somatotypes:
  14. Jun 2018
    1. nothingness haunts the text

      In Re-writing Freud by Simon Morris, words are randomly selected from Interpretation of Dreams, although "flashes of meaning persist, haunting the text."

  15. Sep 2016
    1. the risk of re-identification increases by virtue of having more data points on students from multiple contexts

      Very important to keep in mind. Not only do we realise that re-identification is a risk, but this risk is exacerbated by the increase in “triangulation”. Hence some discussions about Differential Privacy.

  16. Dec 2015
    1. For them, attachments to abundant heat are indeliblyingrained across their skins, tastes and perceptions

      Do you think it's possible for them to re-adapt to lower temperatures and acquire a new set of preferences for different climate characteristics?

  17. Apr 2015
    1. MOOC materials may be limited by copyright or time restrictions for re-use as open educational resources

      where in a course description this is explained ?

  18. Feb 2014
    1. Twenty-five years on from the web's inception, its creator has urged the public to re-engage with its original design: a decentralised internet that at its very core, remains open to all.