3,382 Matching Annotations
  1. Jan 2022
    1. Budak, C., Soroka, S., Singh, L., Bailey, M., Bode, L., Chawla, N., Davis-Kean, P., Choudhury, M. D., Veaux, R. D., Hahn, U., Jensen, B., Ladd, J., Mneimneh, Z., Pasek, J., Raghunathan, T., Ryan, R., Smith, N. A., Stohr, K., & Traugott, M. (2021). Modeling Considerations for Quantitative Social Science Research Using Social Media Data. PsyArXiv. https://doi.org/10.31234/osf.io/3e2ux

    1. Dr. Cecília Tomori. (2022, January 25). Maryland 24,183 new cases South Korea 8,571 new cases Maryland population 6.2 million South Korea population 51.82 million Perspective, even w SK sharply rising & MD headed down (hope it continues). [Tweet]. @DrTomori. https://twitter.com/DrTomori/status/1485792047252520962

    1. Dave McNally. (2022, January 23). For the BA.2 watchers, looks like it doubling roughly every 4 days in the UK at the moment. Would make it the dominant strain around about February 14th. Maybe it is time to move away from the Greek alphabet and move onto their Gods instead. Eros variant? Https://t.co/G6mR5DUkz8 [Tweet]. @OliasDave. https://twitter.com/OliasDave/status/1485048710623076355

    1. (((Howard Forman))). (2022, January 24). NYC update Positive rate 6.6%. Cases fewest since 12/13. Hospital census lowest since 1/1/2022. Hospital admits lowest since 12/22/2021. All indicators (except deaths) declining rapidly, but still well above pre-Omicron levels. Expect more swift progress this week. Https://t.co/IhKlwEEkXp [Tweet]. @thehowie. https://twitter.com/thehowie/status/1485719209359421452

    1. Dr. Melvin Sanicas, #GetVaccinated. (2022, January 24). Smart people change their minds. They reconsider things they thought they’d already figure out when offered compelling data contradicting their previous understanding. Last week we saw the Swiss data. This is from #USA. #scicomm #dataviz #VaccinesSaveLives (h/t @OurWorldInData) https://t.co/Z5ONLNXr2u [Tweet]. @Vaccinologist. https://twitter.com/Vaccinologist/status/1485704680550412303

    1. Notez que le coût pour une grande sécurité est incroyablement élevé. Si vous voulez fournir des données sur lesquelles vous êtes capable d’effectuer des calculs de manière complètement homomorphe, la taille va être extrêmement grande par rapport aux données initiales. Actuellement, c’est quelque chose qui n’est pas exploitable pour des calculs de type big data.

      Ne pas faire de big data avec des donnees personnelles et faire du chiffrement homomorphe sur les donnees personnelles

    1. James 💙 Neill - 😷 🇪🇺🇮🇪🇬🇧🔶. (2022, January 23). Of 51,141 deaths due to ischaemic heart diseases 32,872 (64.3%) had pre-existing conditions.💔 Do those 33k heart disease deaths not count? Or is an absence of pre-existing conditions only required for Covid deaths...😡⁉️ Source: ONS England 2019 [Tweet]. @jneill. https://twitter.com/jneill/status/1485327886164844546

    1. Patone, M., Mei, X. W., Handunnetthi, L., Dixon, S., Zaccardi, F., Shankar-Hari, M., Watkinson, P., Khunti, K., Harnden, A., Coupland, C. A., Channon, K. M., Mills, N. L., Sheikh, A., & Hippisley-Cox, J. (2021). Risk of myocarditis following sequential COVID-19 vaccinations by age and sex (p. 2021.12.23.21268276). medRxiv. https://doi.org/10.1101/2021.12.23.21268276

    1. Dr Satoshi Akima. (2022, January 8). I’ve had people mention rising case numbers in Japan and South Korea. But let’s really put that rise into perspective. Nations that have early accepted that #COVIDisAirborne simply fair better https://t.co/KaoE26gQ0N [Tweet]. @ToshiAkima. https://twitter.com/ToshiAkima/status/1479724180840988673

    1. inserting various types of figures and tables into text in a standard way

    Tags

    Annotators

    1. We are definitely living in interesting times!

      The problem with Machine learning in my eyes seems to be the non-transparency in the field. After all what makes the data we are researching valuable. If he collect so much data why is only .5% being studied? There seems to be a lot missing and big opportunities here that aren't being used properly.

    1. Prof. Debby Bogaert 💙. (2021, December 20). @chrischirp NL is slightly behind the UK re #omicron and based lockdown on a.o. This model (source @MarionKoopmans). Despite uncertainty the ‘continue as is’ effect on ICU beds occupied (red) is chilling. Green model is with lockdown after and blue is before Christmas. Decisiveness matters! Https://t.co/2IODZGnNJ6 [Tweet]. @DebbyBogaert. https://twitter.com/DebbyBogaert/status/1472845880411758592

    1. Dr. Cecília Tomori. (2021, December 27). Maryland—Just awful to watch what’s unfolding. Now at 1714 hospitalizations ⬆️ 130 in 24 hrs. 16.5% test positivity. Some counties have acted but no statewide 😷 policy! No measures to slow the spread. Https://coronavirus.maryland.gov https://t.co/C03cSRO2AX [Tweet]. @DrTomori. https://twitter.com/DrTomori/status/1475503877977948166

    1. The OPSD project Open Power System Data is a free-of-charge data platform dedicated to electricity system researchers. We collect, check, process, document, and publish data that are publicly available but currently inconvenient to use. The project is a service provider to the modeling community: a supplier of a public good. Learn more about its background or just go ahead and explore the data platform.

      Datenquelle

    1. Helen Branswell. (2022, January 11). 1. #Omicron’s takeover was stunningly rapid and is now nearly complete, at least in the U.S. The latest “Nowcast” from @CDCgov (which uses recent data to model what’s happen now) suggests most of what is circulating here now is omicron. Https://t.co/6w3e8Ut5NW [Tweet]. @HelenBranswell. https://twitter.com/HelenBranswell/status/1480970453313277954

    1. Stock, S. J., Carruthers, J., Calvert, C., Denny, C., Donaghy, J., Goulding, A., Hopcroft, L. E. M., Hopkins, L., McLaughlin, T., Pan, J., Shi, T., Taylor, B., Agrawal, U., Auyeung, B., Katikireddi, S. V., McCowan, C., Murray, J., Simpson, C. R., Robertson, C., … Wood, R. (2022). SARS-CoV-2 infection and COVID-19 vaccination rates in pregnant women in Scotland. Nature Medicine, 1–9. https://doi.org/10.1038/s41591-021-01666-2

    1. Ariel Karlinsky. (2022, January 2). Russia at 1.04 MILLION excess deaths since March 2020, which is about 240% higher than their reported COVID-19 deaths. This is 1st place worldwide (for countries with data) in absolute excess mortality, 2nd place on per capita terms and 9th on p-score. #poptwitter #epitwitter https://t.co/aLBRRht3z2 [Tweet]. @ArielKarlinsky. https://twitter.com/ArielKarlinsky/status/1477531141510946818

    1. Olson, S. M., Newhams, M. M., Halasa, N. B., Price, A. M., Boom, J. A., Sahni, L. C., Pannaraj, P. S., Irby, K., Walker, T. C., Schwartz, S. P., Maddux, A. B., Mack, E. H., Bradford, T. T., Schuster, J. E., Nofziger, R. A., Cameron, M. A., Chiotos, K., Cullimore, M. L., Gertz, S. J., … Randolph, A. G. (2022). Effectiveness of BNT162b2 Vaccine against Critical Covid-19 in Adolescents. New England Journal of Medicine, 0(0), null. https://doi.org/10.1056/NEJMoa2117995

    1. The below illustrates a Dataset Site pointing to feeds consisting of ScheduledSessions, SessionSeries, and Events. As the presence of the webAPI attribute indicates, data items from these feeds are bookable.

      <script type="application/ld+json`/">
      {
         "@context":[
            "https://schema.org/",
            "https://openactive.io/",
            "https://openactive.io/ns-beta"
         ],
         "@type":"Dataset",
         "@id":"https://data.example.com/",
         "name":"Example Sessions and Events",
         "description":"Near real-time availability and rich descriptions relating to sessions and events available from Example.com",
         "url":"https://data.example.com/",
         "dateModified":"2019-08-25T11:23:27+00:00",
         "keywords":[
            "Courses",
            "Sessions",
            "Events",
            "Activities",
            "Sports",
            "Physical Activity",
            "OpenActive"
         ],
         "schemaVersion":"https://www.openactive.io/modelling-opportunity-data/2.0/",
         "license":"https://creativecommons.org/licenses/by/4.0/",
         "publisher":{
            "@type":"Organization",
            "name":"Example.com",
            "description":"Example.com makes it easy to get active!",
            "url":"https://example.com/home",
            "legalName":"Example Ltd",
            "logo":{
               "@type":"ImageObject",
               "url":"https://cdn.example.com/assets/logo.png"
            },
            "email":"support@example.com"
         },
         "discussionUrl":"https://github.com/example/repo/issues",
         "datePublished":"2019-07-11T00:00:00+00:00",
         "inLanguage":[
            "en-GB"
         ],
         "distribution":[
            {
               "@type":"DataDownload",
               "name":"ScheduledSession",
               "additionalType":"https://openactive.io/ScheduledSession",
               "encodingFormat":"application/vnd.openactive.rpde+json; version=1",
               "contentUrl":"https://example.com/api/openactive/scheduledsessions",
               "totalItems": 1852
            },
            {
               "@type":"DataDownload",
               "name":"SessionSeries",
               "additionalType":"https://openactive.io/SessionSeries",
               "encodingFormat":"application/vnd.openactive.rpde+json; version=1",
               "contentUrl":"https://example.com/api/openactive/sessionseries",
               "totalItems": 361
            },
            {
               "@type":"DataDownload",
               "name":"Event",
               "additionalType":"https://schema.org/Event",
               "encodingFormat":"application/vnd.openactive.rpde+json; version=1",
               "contentUrl":"https://example.com/api/openactive/events",
               "totalItems": 1906
            }
         ],
         "backgroundImage":{
            "@type":"ImageObject",
            "url":"https://cdn.example.com/images/background.jpg"
         },
         "documentation":"https://developer.openactive.io/",
         "accessService":{
            "@type":"WebAPI",
            "name":"Open Booking API",
            "description":"The Open Booking API lets you to book OpenActive Opportunities. The API uses standard schema.org types and is compliant with the JSON-LD specification.",
            "documentation":"https://openactive.io/open-booking-api/EditorsDraft",
            "termsOfService":"https://example.com/api/booking/documentation/terms-of-service",
            "provider": {
              "@type": "Organization",
              "name":"examplebooking.com",
              "description":"examplebooking.com makes it easy to get booking!",
              "url":"https://examplebooking.com/home",
              "email":"support@examplebooking.com"
            },
            "endpointUrl":"https://example.com/api/booking/",
            "conformsTo":[
               "https://www.openactive.io/open-booking-api/2.0/"
            ],
            "endpointDescription":"https://www.openactive.io/open-booking-api/2.0/swagger.json",
            "bookingService": {
              "@type": "SoftwareApplication",
              "name": "nyExampleBookingPlatform",
              "softwareVersion": "1.2",
              "url": "https://www.example.com/myExampleBookingPlatform",
              "featureList": "https://www.example.com"
      
      
            }
         }
      }
      </script>
      
    1. Tigran Avoundjian. (2022, January 3). Increases in hospitalizations routinely lag behind cases by a week (sometimes more). Deaths have an even longer lag. On 12/30, we had seen a 56% increase in 7-day hospitalization counts, and today we are seeing an 81% increase week-to-week. We have already passed the Sept peak. [Tweet]. @avoundji. https://twitter.com/avoundji/status/1478092404091588608

    1. Ryan Imgrund. (2022, January 2). If schools are not a source of transmission for COVID-19, why were school board per capita rates of infection 1.77x HIGHER than their surrounding community? SOURCE: Ministry of Education data; Compiled on December 17th, 2021; Calculations are mine. Https://t.co/94trbDvw2C [Tweet]. @imgrund. https://twitter.com/imgrund/status/1477683538971529217

    1. Frame relay s

      Frame Relay is a standardized wide area network (WAN) technology that specifies the physical and data link layers of digital telecommunications channels using a packet switching methodology. Originally designed for transport across Integrated Services Digital Network (ISDN) infrastructure, it may be used today in the context of many other network interfaces.

      Frame Relay puts data in variable-size units called "frames" and leaves any necessary error-correction (such as retransmission of data) up to the end-points. This speeds up overall data transmission. For most services, the network provides a permanent virtual circuit (PVC), which means that the customer sees a continuous, dedicated connection without having to pay for a full-time leased line, while the service-provider figures out the route each frame travels to its destination and can charge based on usage.

    1. Kayla Simpson. (2022, January 3). The COVID data coming out of NYC jails is...beyond staggering. Today’s report shows a 7-day avg positivity rate of 37%, w/502 ACTIVE INFECTIONS. With a ~5K census, that means that nearly one in ten people in DOC has an ACTIVE infection. Crisis on crisis. Https://hhinternet.blob.core.windows.net/uploads/2022/01/CHS-COVID-19-data-snapshot-2020103.pdf [Tweet]. @KSimpsonHere. https://twitter.com/KSimpsonHere/status/1478114046360657926

    1. Meaghan Kall. (2022, January 3). ⚠️ Warning on death data on https://coronavirus.data.gov.uk NHS England has not reported hospital deaths since 1 January. The backlog will be reported Wednesday. Data are incomplete yesterday, today and tomorrow. Expect a bigger number reported on Wednesday. [Tweet]. @kallmemeg. https://twitter.com/kallmemeg/status/1478049788159569929

    1. I have devised a lifestreaming system that encourages users to gain more control over personal advancement and deliberate decision-making.

      Precisely what i was thinking about: having AI tell us if we are reasonable, advise us in relationships, digital emotional stewardship

    1. Keeling, M. J., Brooks-Pollock, E., Challen, R. J., Danon, L., Dyson, L., Gog, J. R., Guzman-Rincon, L., Hill, E. M., Pellis, L. M., Read, J. M., & Tildesley, M. (2021). Short-term Projections based on Early Omicron Variant Dynamics in England. (p. 2021.12.30.21268307). https://doi.org/10.1101/2021.12.30.21268307

    1. The Notetab-Zettelkasten has several major advantages over the paper-implementation: 1. It is much more difficult to misplace slips 1. It has a powerful search function

      Most digital note taking systems have two major advantages of paper versions:

      • It's harder to misplace material unless one's system has major flaws or one accidentally deletes content
      • Digital search is far more powerful and efficient than manual search
  2. Dec 2021
    1. In this example, Bigipedia informs us that the DOI is referenced by the article page. Note that because the subject is not a DOI, the metadata must be supplied in the subj key. $ curl "https://bus.eventdata.crossref.org/events" \ --verbose \ -H "Content-Type: application/json" \ -H "Authorization: Token token=591df7a9-5b32-4f1a-b23c-d54c19adf3fe" \ -X POST \ --data '{"id": "dbba925e-b47c-4732-a27b-0063040c079d", "source_token": "b1bba157-ab5b-4cb8-9ac8-4beb2d6405ff", "subj_id": "http://bigipedia.com/pages/Chianto", "obj_id": "https://doi.org/10.3403/30164641u", "relation_type_id": "references", "source_id": "bigipedia", "license: "https://creativecommons.org/publicdomain/zero/1.0/", "subj": {"title": "Chianto", "issued": "2016-01-02", "URL": "http://bigipedia.com/pages/Chianto"}}'
      • SUBJECT is Page, no DOI
        • metadata in object "subj"
    1. El púlsar binario PSR J0737 como banco de pruebas de la relatividad general Por Francisco R. Villatoro, el 16 diciembre, 2021. Categoría(s): Astronomía • Ciencia • Física • Noticias • Physics • Relatividad • Science ✎ 3

      l púlsar binario PSR J0737 como banco de pruebas de la relatividad general Por Francisco R. Villatoro, el 16 diciembre, 2021. Categoría(s): Astronomía • Ciencia • Física • Noticias • Physics • Relatividad • Science ✎ 3

      Hulse y Taylor recibieron el Premio Nobel de Física en 1993 por su estudio del púlsar binario PSR B1913+16 (el primero que se descubrió en 1974), que observó de forma indirecta la emisión de ondas gravitacionales. Se publica en Physical Review X un análisis similar del púlsar binario PSR J0737−3039A/B, descubierto en 2003. El púlsar binario PSR J0737 es un banco de pruebas único para el estudio de la relatividad general ya que está situado a solo dos mil años luz de la Tierra, ambas estrellas de neutrones se observan como púlsares y su inclinación orbital es muy próxima a 90 °, luego se puede observar cómo el espaciotiempo curvo del plano orbital modifica los pulsos emitidos. Las observaciones durante 16 años de la precesión del periastro siguen la fórmula de la emisión gravitacional cuadripolar de Einstein con un error menor del 0.013 % (el resultado obtenido tras 2.5 años de observaciones tenía un error del 0.05 % y se publicó en 2006 en Science). Sin lugar a dudas un púlsar binario que habrá que seguir durante las próximas décadas para mejorar estas estimaciones.

      Además de probar la fórmula cuadripolar de Einstein, se ha probado el retraso debido al efecto de Shapiro (en un espaciotiempo curvo las señales de radio viajan durante más tiempo y las observamos retrasadas). También se han realizado otras pruebas de la relatividad que hasta ahora no se habían podido realizar con otros púlsares binarios. Por ejemplo, se ha medido la deformación relativista de la órbita (debido al acoplamiento relativista entre el espín (rotación de las estrellas de neutrones) y el momento angular de su órbita). En estas pruebas los resultados tienen mucha mayor incertidumbre, pero en todos los casos son compatibles con las predicciones de la relatividad general de Einstein. Esta teoría, a la que muchos físicos quieren matar cuanto antes, además de muy bella es muy robusta y promete reinar en la física durante muchas décadas.

      El artículo es M. Kramer, I. H. Stairs, …, G. Theureau, «Strong-field Gravity Tests with the Double Pulsar,» Physical Review X 11: 04150 (13 Dec 2021), doi: https://doi.org/10.1103/PhysRevX.11.041050, arXiv:2112.06795[astro-ph.HE] (13 Dec 2021); más información divulgativa en Lijing Shao, «General Relativity Withstands Double Pulsar’s Scrutiny,» Physics 14: 173 (13 Dec 2021) [web].

      Una manera de destacar la excepcionalidad del púlsar binario PSR J0737 es compararlo con el famoso PSR B1913, que ha sido estudiado durante 35 años. Esta figura muestra la precesión del periastro de la órbita; la diferencia en la densidad de puntos entre 0 y −20 es notable. Así se explica que el nuevo resultado para PSR J0737 tras 16 años tenga un error menor del 0.013 %, cuando para PSR B1913 solo se alcanzó el 0.2 %; por cierto, para las fusiones de agujeros negros observadas por LIGO-Virgo el error típico ronda el 20 %. No le he dicho, pero supongo que sabrás que el periastro de una órbita elíptica es el punto donde la distancia entre ambos cuerpos es mínima; se llama perihelio cuando uno de los cuerpos es el Sol y perigeo cuando es la Tierra. El fenómeno que mide esta figura es análogo a la precesión del perihelio de la órbita de Mercurio, que Einstein usó como guía hacia la formulación correcta de su teoría de la gravitación.

      ASTROFÍSICACIENCIAEXPERIMENTOFÍSICANOTICIASPÚLSARTEORÍA DE LA RELATIVIDAD GENERAL

      3 Comentarios Mario dice: 17 diciembre, 2021 a las 5:10 pm Francis Hay una frase que no entiendo, favor revisar: «…,luego sus señales se observa cómo el espaciotiempo curvo del plano orbital modificada la señal que observamos». Atte Mario

      RESPONDER Francisco R. Villatoro dice: 17 diciembre, 2021 a las 9:15 pm Gracias, Mario.

      RESPONDER Mario dice: 19 diciembre, 2021 a las 10:07 pm Francis, entiendo que por el efecto shapiro las señales de radio se ven retrasadas; pero para notar tal retraso tiene que haber una referencia. Cuál es esa referencia?

      RESPONDER Deja un comentario

    1. Evidence Record Creates observations of type landing-page-url for annotates relation types. Creates observations of type plaintext for discusses relation types.
      • SEE
      • In Evidence:
      • "candidates": [ { "type": "landing-page-url",
    2. Discusses: { "license": "https://creativecommons.org/publicdomain/zero/1.0/", "obj_id": "https://doi.org/10.1146/annurev.earth.32.082503.144359", "source_token": "8075957f-e0da-405f-9eee-7f35519d7c4c", "occurred_at": "2015-05-11T04:03:44Z", "subj_id": "https://hypothes.is/a/qNv_Ei5ZSnWOWO54GXdFPA", "id": "00054d54-7f35-4557-b083-7fa1f028856d", "evidence_record": "https://evidence.eventdata.crossref.org/evidence/20170413-hypothesis-a37bc9bf-1dc0-4c8a-b943-2e14beb4de6f", "terms": "https://doi.org/10.13003/CED-terms-of-use", "action": "add", "subj": { "pid": "https://hypothes.is/a/qNv_Ei5ZSnWOWO54GXdFPA", "json-url": "https://hypothes.is/api/annotations/qNv_Ei5ZSnWOWO54GXdFPA", "url": "https://hyp.is/qNv_Ei5ZSnWOWO54GXdFPA/www.cnn.com/2015/05/05/opinions/sutter-sea-level-climate/#", "type": "annotation", "title": "The various scenarios presented should be specified as being global averages of expected sea level rise. The sea level rise observed locally will vary significantly, due to a lot of different geophysical factors.", "issued": "2015-05-11T04:03:44Z" }, "source_id": "hypothesis", "obj": { "pid": "https://doi.org/10.1146/annurev.earth.32.082503.144359", "url": "https://doi.org/10.1146/annurev.earth.32.082503.144359" }, "timestamp": "2017-04-13T10:40:18Z", "relation_type_id": "discusses" }
      • URL (Landing) in annotations!
    3. Annotates: { "license": "https://creativecommons.org/publicdomain/zero/1.0/", "obj_id": "https://doi.org/10.1007/bfb0105342", "source_token": "8075957f-e0da-405f-9eee-7f35519d7c4c", "occurred_at": "2015-11-04T06:30:10Z", "subj_id": "https://hypothes.is/a/NrIw4KlKTwa7MzbTrMAyjw", "id": "00044ac9-d729-4d3f-a2c8-618bcdf1d252", "evidence_record": "https://evidence.eventdata.crossref.org/evidence/20170412-hypothesis-de560308-e500-4c55-ba28-799d7b272039", "terms": "https://doi.org/10.13003/CED-terms-of-use", "action": "add", "subj": { "pid": "https://hypothes.is/a/NrIw4KlKTwa7MzbTrMAyjw", "json-url": "https://hypothes.is/api/annotations/NrIw4KlKTwa7MzbTrMAyjw", "url": "https://hyp.is/NrIw4KlKTwa7MzbTrMAyjw/arxiv.org/abs/quant-ph/9803052", "type": "annotation", "title": "[This article](http://arxiv.org/abs/quant-ph/9803052) was referenced by [\"Decoherence\"](http://web.mit.edu/redingtn/www/netadv/Xdecoherenc.html) on Sunday, September 25 2005.", "issued": "2015-11-04T06:30:10Z" }, "source_id": "hypothesis", "obj": { "pid": "https://doi.org/10.1007/bfb0105342", "url": "http://arxiv.org/abs/quant-ph/9803052" }, "timestamp": "2017-04-12T07:16:20Z", "relation_type_id": "annotates" }
      • An arXiv page (article with DOI) is considered OBJECT (DOI)
      • This example is an AUTO-REFERENCE !!!

      • It is due to the arXiv Agent (?)

    4. looks in the text for links to registered content
      • "DOI:"
    5. It looks for two things: the annotation of registered content (for example Article Landing Pages) and the mentioning of registered content (for example DOIs) in the text of annotations.
      • DOI: in annotation text [OK.verified] in SUBJECT pages
      • Annotations in OBJECT pages (Landing)
    6. The Hypothes.is Agent monitors annotations
      • See examples of Evidences
      • Agent uses "url": "https://hypothes.is/api/search"
      • GUESS: filter by date of annotation? "extra": { "cutoff-date": "2005-04-13T09:08:04.578Z"
    1. Crossref Membership rules #7 state that: You must have your DOIs resolve to a page containing complete bibliographic information for the content with a link to — or information about — getting the full text of the content. Where publishers break these rules, we will alert them.
      • INTERESTING!
    2. It's always not one-to-one DOIs can be assigned to books and book chapters, articles and figures. Each Agent will do its job as accurately as possible, with minimal cleaning-up, which could affect interpretation. This means that if someone tweets the DOI for a figure within an article, we will record that figure's DOI. If they tweet the landing page URL for that figure, we will do our best to match it to a DOI. Depending on the method used, and what the publisher landing page tells us, we may match the article's DOI or the figure's DOI. Sometimes two pages may claim to be about the same DOI. This could happen if a publisher runs two different sites about the same content. It's also possible that a landing page has no DOI metadata, so we can't match it to an Event. The reverse is true: sometimes two DOIs point to the same landing page. This can happen by accident. It is rare, but does happen. This has no material effect on the current methods for reporting Events.
      • non-uniqueness: DOI <-> Page Publisher
    3. Matching also varies from publisher to publisher. For some landing page domains we can easily match the DOI. For some we need to do a bit more work. For others, it's impossible.
      • hahaha!
      • I knew it!
    4. We maintain a list of domain names that belong to publishers (see the Artifact page for more information) and track and query for those domains. When we see a URL that could be a landing page, we attempt to match it to a DOI.
      • Landing Page --> publisher(?)
      • ok: maintain a list
    5. Every Agent will attempt to match registered content items in as broad a manner as possible by looking for linked and unlinked DOIs and Article Landing Page URLs.
      • ok: unlinked too!
      • verified with hypothesis annotations! (text DOI:)
    6. They could use a hyperlinked DOI (one you can click), or a plain-text DOI (one you can't click). They could also use the Article Landing Page (the page you get to when you click on a DOI). Every source is different: we tend to see most people using Article Landing Pages on Twitter, but on Wikipedia DOIs are frequently used.
      • link to DOI (doi.org)
      • text "DOI: 10.xxx/xxx"
      • link to "publisher"(?) (http) used in Twitter (I dont use it)
    7. Event Data Agents are on the look out for links to registered content items, but people on the Web use a variety of methods to refer to them.
      • Event-Data Agents: looking for DOIs...
      • People: We are going to make it hard for you
      • Agents + Me: F**k U!
    1. Every Event starts its journey somewhere, usually in an external source. Data from that external source is processed and analyzed
      • How??? (again and again)
    2. the subject of the event, e.g. Wikipedia article on Fish the type of the relation, e.g. "references" the object of the event, e.g. article with DOI 10.5555/12345678
      • relation: subject--relation--object
    3. Every time we notice that there is a new relationship between a piece of registered content and something out in the web, we record that as an individual Event.
      • How??? (again)
    4. Each web source is referred to as a 'data contributor'. The Events, and all original data from the data contributor, are available via an API.
      • Sources
      • "Relations": --> API --> uses
    5. When a relationship is observed
      • How???
    6. a registered content item (that is, content that has been assigned a DOI by Crossref or DataCite)
      • DEF: registered content item == DOI
    7. This data is of interest to a wide range of people: Publishers may want to know how their articles are being shared, authors might want to know when people are talking about their articles, researchers may want to conduct bibliometrics research. And that's just the obvious uses.
      • case uses
    8. The Event Data service captures this activity and acts as a hub for the storage and distribution of this data. The service provides a record of instances where research has been bookmarked, linked, liked, shared, referenced, commented on etc, beyond publisher platforms. For example, when datasets are linked to articles, articles are mentioned on social media or referenced in Wikipedia.
      • "For example, when datasets are linked to articles, articles are mentioned on social media or referenced in Wikipedia."
    1. Edge computing is an emerging new trend in cloud data storage that improves how we access and process data online. Businesses dealing with high-frequency transactions like banks, social media companies, and online gaming operators may benefit from edge computing.

      Edge Computing: What It Is and Why It Matters0 https://en.itpedia.nl/2021/12/29/edge-computing-what-it-is-and-why-it-matters/ Edge computing is an emerging new trend in cloud data storage that improves how we access and process data online. Businesses dealing with high-frequency transactions like banks, social media companies, and online gaming operators may benefit from edge computing.

    1. Trisha Greenhalgh. (2021, December 27). This is nothing short of scandalous. Unless and until those leading the public health response acknowledge the AIRBORNE nature of the virus and give transmission mitigation advice commensurate with how airborne viruses spread, we will be yo-yoing from wave to wave ad infinitum. [Tweet]. @trishgreenhalgh. https://twitter.com/trishgreenhalgh/status/1475502337594646528

    1. A Marm Kilpatrick. (2021, November 24). How do we get broad immunity to SARS-CoV-2 that will protect against future variants? 2 studies (are there more?) suggest that vaccination followed by infection gives broader protection than infection followed by vaccination. @florian_krammer @profshanecrotty @GuptaR_lab https://t.co/rqdf6rE9ej [Tweet]. @DiseaseEcology. https://twitter.com/DiseaseEcology/status/1463391782742335491

    1. ReconfigBehSci on Twitter: “but it is not vaccinated people that are disproportionately filling up ICUs. For any government whose policy is guided by ICU capacity, limiting the transmission possibilities for the unvaccinated is now the point. It is frustrating to see someone continue to ignore this” / Twitter. (n.d.). Retrieved December 23, 2021, from https://twitter.com/SciBeh/status/1471088416246878211

    1. Colin Davis. (2021, December 20). Update for 20th Dec. The trend line still reflects 1.8 day doubling (it’s 1.7 days if we look at just the last week). Today’s number is down, but I wouldn’t read too much into that at this point. Https://t.co/kOCjxhRbop [Tweet]. @ProfColinDavis. https://twitter.com/ProfColinDavis/status/1472969632705392640

    1. ReconfigBehSci. (2021, December 7). Given an estimate whereby the average person knows ca. 600 people, assuming 50% vaxxed, the average person would know 8 people who died of the vaccine. It is hard to believe numeracy is so low that people cannot see how crazy these “statistics” are... [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1468163579069280258

    1. Arieh Kovler. (2021, November 26). Israel has identified four cases of the B.1.1.529 variant, all recent travellers. One case, a 32-year-old woman returning from South Africa, was triple vaccinated with Pfizer and had her 3rd dose just two months ago. [Tweet]. @ariehkovler. https://twitter.com/ariehkovler/status/1464190991204859919

    1. obrázok je údajne screenshot z webu novinky.cz. neuvádza sa však odkaz na článok, ktorý je na screenshote przentovaný. Pri snahe nájsť pôvodný článok som neuspela. Nenašla som cez prehliadač ani titulok, ani text, ktorý mala údajne osoba v texte povedať. Nič podobné som nenašla ani pri hľadaní priamo na novinky.cz. Článok, ktorý je na "screenshote" neexistuje a "Screenshot" bol vytvorený umelo ako montáž. Podnecuje odpor a strach z očkovania, pretože tvrdí, že hlavná hygienička Pavla Svrčinová povedala, že ak by sa nechala zaočkovať, tak zomrie.

    1. Tom Moultrie. (2021, December 17). A 1-figure Gauteng update, bringing in data through Wednesday 15/12 (PCR only; by date of collection). The turn continues. On similar metrics (not shown) ALL northern provinces (NW, GT, MP, LP) seem to have now turned. Https://t.co/6Bh3kZsooK [Tweet]. @tomtom_m. https://twitter.com/tomtom_m/status/1471723711287996416

    1. Jay Varma. (2021, December 16). Um, we’ve never seen this before in #NYC. Test positivity doubling in three days 12/9—3.9% 12/10—4.2% 12/11—6.4% 12/12—7.8% Note: Test % is only for PCR & NYC does more per capita daily than most places ~67K PCR/day + 19K [reported] antigen over past few days (1/2) https://t.co/PhxsZq55jn [Tweet]. @DrJayVarma. https://twitter.com/DrJayVarma/status/1471485885447389186

    1. NFTs have received a lot of attention lately because of high sales volumes. In the past 30 days there has been over $300M in NFT sales:
    1. I buy domains on a regular basis and often from more than one registrar because of a better deal or TLD availability. As a result, I tend to forget I have some domains! True story, I once ran a WHOIS search on a domain I own.

      The subtext here is, "that's why i created BeachfrontDigital". But this shows how "apps" (and systems) have poisoned how we conceptualize problems and their solutions.

      The simplest solution to the problem described is a document, not a never-finished/never-production-ready app. Bespoke apps have lots of cost overhead. Documents, on the other hand—even documents with rich structure—are cheap.

    1. Dr Duncan Robertson. (2021, December 15). Cases on the dashboard exclude reinfections.And there are a lot of reinfections as far as Omicron is concerned h/t @AlistairHaimes and @Peston And this is only cases reported today—Not from infections today With a 2-day doubling time for Omicron, this isn’t great https://t.co/fU2RLhshtn [Tweet]. @Dr_D_Robertson. https://twitter.com/Dr_D_Robertson/status/1471156538681315336

    1. Tom Moultrie. (2021, December 12). Given the comedic misinterpretation of the South African testing data offered by @BallouxFrancois (and many others!) last night ... I offer some tips having contributed to the analysis of the testing data for the @nicd_sa since April last year. (1/6) [Tweet]. @tomtom_m. https://twitter.com/tomtom_m/status/1469954015932915718

    1. Dave Keating. (2021, December 8). Boris Johnson’s continued pretence that UK is one of the most vaccinated countries in the world, repeated again in press conference just now announcing new restrictions, is getting tiresome. That has not been the case for many many months, despite 🇬🇧🇺🇸 vaccine hoarding early on. Https://t.co/tQt6aXGtNI [Tweet]. @DaveKeating. https://twitter.com/DaveKeating/status/1468655107436802052

    1. AIMOS. (2021, November 30). How can we connect #metascience to established #science fields? Find out at this afternoon’s session at #aimos2021 Remco Heesen @fallonmody Felipe Romeo will discuss. Come join us. #OpenScience #OpenData #reproducibility https://t.co/dEW2MkGNpx [Tweet]. @aimos_inc. https://twitter.com/aimos_inc/status/1465485732206850054

    1. Art Poon. (2021, November 28). Our first https://filogeneti.ca/CoVizu update with B.1.1.529. As expected, number of mutations is well over molecular clock prediction (~13 diffs). Relatively low numbers of identical genomes implies large number of unsampled infections. We update every two days from GISAID. https://t.co/m8w2CjL1c0 [Tweet]. @art_poon. https://twitter.com/art_poon/status/1465001066194481162

    1. Eric Feigl-Ding. (2021, December 2). A rise in possible #Omicron in England—Tripling (0.1 to 0.3) of S-Gene dropout PCR signal, which is a proxy for Omicron (before 🧬 sequencing confirms). @_nickdavies estimates this represents around ~60 cases in 🏴󠁧󠁢󠁥󠁮󠁧󠁿. Still early—But it displacing #DeltaVariant is not good sign. 🧵 https://t.co/4aIiqiVsqH [Tweet]. @DrEricDing. https://twitter.com/DrEricDing/status/1466234026843205637

  3. Nov 2021
    1. Grimmer & Stewart (2013) - Text as Data: The Promise and Pitfalls of Automatic ContentAnalysis Methods for Political Texts

    1. Stephen Reicher. (2021, November 26). 55.1% of the worlds population has had one dose of Covid vaccine. 29% in South Africa 10.1% in Africa as a whole Only 6% of Africans are fully vaccinated So is it any surprise new variants are arising from Africa? What doesn’t go around (as vaccine) Comes around (as Covid). Https://t.co/0X0vZ6flmc [Tweet]. @ReicherStephen. https://twitter.com/ReicherStephen/status/1464202267196858380