129 Matching Annotations
  1. Jun 2024
  2. www.phillytypewriter.com www.phillytypewriter.com
    1. James Norris is the owner and operator of Ex Nihilo 3D Print and Design in Spring, Texas. He has always had a fascination with figuring out how things work and seeing if there was a way it could be better. In late 2016 his wife, a burgeoning writer, purchased their first typewriter. He soon became obsessed with all the amazing parts and mechanisms. From there the typewriter collecting began.​From the first Olympia, to an inherited Olivetti, to his first Selectric, and so on.While repairing these machines he realized that there where a few setbacks. The most immediate being parts availability. So armed with his 3d printer he designed and printed his first part. A Selectric cycle clutch pulley in mid 2021. After showing the 3d printed part to some like minded individuals he was happy to learn that they were as excited as he was. He loves to design new parts and accessories to bring these typewriters back to life.James is thrilled to be working with Philly Typewriter, and looks forward to helping with your current and future parts needs. James lives in Texas, is married with two children.

      https://www.phillytypewriter.com/parts-mfg.html#/

      James Norris does 3D printing of replacement parts for typewriter restoration projects.

  3. May 2024
    1. there 00:40:08 are many hundreds of thousands now and their uh their rights are being threatened of course not that any of them are inviting the Kremlin to come in and save them but we kind of know how this 00:40:19 works

      for - geopolitics - Russian play book for political takeover

      geopolitics - Russian playbook for political takeover of ex- Soviet satellite countries - claim that Russian citizens are being threatened - send Putin loyalists into the local government - have fake referendum and rigged elections - install Putin loyalists to take over the country

  4. Nov 2023
  5. Jun 2023
    1. strange phenomenon after 9 11 and the years after 9 11 and 00:38:39 in the Evangelical subculture of these uh ex-muslim terrorists who are taking the Christian speaking circuit by storm
      • Within the Evangelical Christian community
        • there emerged evangelicals that deceived the masses by weaponizing fear
        • fraudulently represented themselves as ex-Muslim terrorists converted to Evangelical Christianity
    1. strange phenomenon after 9 11 and the years after 9 11 and 00:38:39 in the Evangelical subculture of these uh ex-muslim terrorists who are taking the Christian speaking circuit by storm
      • Within the Evangelical Christian community
        • there emerged evangelicals that deceived the masses by weaponizing fear
        • fraudulently represented themselves as ex-Muslim terrorists converted to Evangelical Christianity
  6. Oct 2022
    1. Importante fornecer um e-mail válido para a solicitação da nota fiscal.
  7. Nov 2021
    1. One thing that should stand out is the min value of the wind velocity (wv (m/s)) and the maximum value (max. wv (m/s)) columns. This -9999 is likely erroneous.
  8. Apr 2021
  9. Nov 2019
  10. Oct 2019
    1. In the front row, an older lady was reading Summer's End by Danielle Steele.

      That same woman attends the event every year and is known to bring along the SMH to read. Seems she's realised her choice had come down to two mostly-fictional items of content and chose to join the growing cohort of ex-readers. Sorry you had to find out this way.

      On a positive note, this woman is clearly a candidate for one of the SMH's super duper 80 per cent off subscription deals.

      You should go and personally save this reader so that you get a good mention from management at the upcoming staff retrenchment function.

  11. Jul 2019
    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
    2. The Posterior Probability of Mixing Dis-tribution
    3. Algorithm
    4. EM Procedure
    5. Poisson Mixture
    6. Data Sources
    7. Poisson Mixtures Distribution
    1. Poisson Model
    2. 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
    3. Empirical Bayesian Smoothing
    4. Incidence Rate and SMR
    5. Spatial Analysis of Cancer PatientCount Data
    1. Haemocyte morphogenesis
    2. Spreading inhibitory behavior
    3. Inhibition of haemocyte aggregation
    4. Haemolymph protein profile
    5. Total haemocyte count assay
    6. Immunomodulatory
    7. Helicoverpa armiger
    8. Spodoptera litura
    9. Gut enzyme profile
    10. Insecticidal activity
    11. . Statistical analysis
    12. Inhibition of haemocytes spreading behavior
    13. . Inhibition of haemocytes aggregation behavior
    14. Haemolymph protein profiling
    15. Total haemocyte count (THC)
    16. Haemolymph collection
    17. Immunomodulatory
    18. Lactate dehydrogenase
    19. Asparate (AAT) and Alanine aminotransferase (ALT)
    20. Gut enzyme profile
    21. Oral toxicity bioassay
    22. Microinjection bioassay
    23. VS preparation
    24. Insect collection
    25. INSECTICIDAL AND IMMUNOMODULATORY ACTIVITY AGAINST INSECT PEST
  12. Jun 2019
    1. Estimation of Stevioside
    2. Extraction from the plant material
    3. Extraction from the plant material
    4. Extraction from the plant material
    5. Qmmtification of stevioside
    6. Estimation of Steviol
    7. Extraction from plant material
    8. Quantification of steviol
    9. Estimation of free aminoacids
    10. Estimation of soluble proteins
    11. Estimation of sugars
    12. Estimation of total phenols
    13. Determination of moisture
    14. Analytical methods
    15. The experimental part of the study was categorized into five sections for the convenience of reference viz. analytical, toxicological, molecular, biochemical and genomic quantitation.
    16. Plant material
    17. e5 tevia-the natural smeetenei
  13. Jan 2019
  14. Aug 2018
    1. It’s not enough to create best flow for the user, put the right tools in right context at perfect timing. We have to think harder how to delight users.

      Beyond user flow - Designing in "delight" - So many components to create "delight"? What are the features/components that criss-cross the intersections of delight and emotional experience?

  15. Nov 2016
    1. Hillary Clinton es la personificación de la palabra establishment. Desde que en 1979 se convirtiera en la primera dama de Arkansas, su nombre ha sido sinónimo de política. Nunca fue una primera dama al uso, ella quería tener una voz propia, se negaba a ser la sombra de su marido, algo que siempre ha molestado entre los círculos conservadores. Se la ha acusado de impertinente, de antipática y de poco carismática. Pero lo que más molesta de Clinton es el secretismo con el que ha gestionado su carrera.