APPLYING TO GRAD SCHOOL, POST #19: DEALING WITH COMPETITIVENESS/COMPARISON
There's so much competitiveness during the application process and beyond; how do you handle it?
@OpenAcademics @PhDVoice #AcademicChatter #AcademicTwitter #phdchat #gradschool #firstgen #nontraditional
Firstly, I want to address "online forums." I won't name any because if you already know them, then you know what I'm talking about, and if you don't know any of them,...
This is ironic, I know, but similar deal with social media:...
Something I do recommend is leaning heavily on the support you do receive. "Support" doesn't have to be from your mentors or academics who know exactly what you're going through; it can be from a friend outside academia who...
On that note: Remember those potential supervisors you bravely reached out to earlier in the application cycle? The ones who decided...to support you have most likely not done so lightly. You should remind yourself...
More from For later read
This response to my tweet is a common objection to targeted advertising.
@KevinCoates correct me if I'm wrong, but basic point seems to be that banning targeted ads will lower platform profits, but will mostly be beneficial for consumers.
Some counterpoints 👇
1) This assumes that consumers prefer contextual ads to targeted ones.
This does not seem self-evident to me
Research also finds that firms choose between ad. targeting vs. obtrusiveness 👇
If true, the right question is not whether consumers prefer contextual ads to targeted ones. But whether they prefer *more* contextual ads vs *fewer* targeted
2) True, many inframarginal platforms might simply shift to contextual ads.
But some might already be almost indifferent between direct & indirect monetization.
Hard to imagine that *none* of them will respond to reduced ad revenue with actual fees.
3) Policy debate seems to be moving from:
"Consumers are insufficiently informed to decide how they share their data."
To
"No one in their right mind would agree to highly targeted ads (e.g., those that mix data from multiple sources)."
IMO the latter statement is incorrect.
@KevinCoates correct me if I'm wrong, but basic point seems to be that banning targeted ads will lower platform profits, but will mostly be beneficial for consumers.
Some counterpoints 👇
That targeted ads allow for "free" products for consumers is a common talking point and we're going to see more of it in the coming months.: https://t.co/Xty3My3f0u (1/14)
— Kevin Coates (@KevinCoates) February 16, 2021
1) This assumes that consumers prefer contextual ads to targeted ones.
This does not seem self-evident to me
Great post by @Sherman1890 got me thinking about the future of targeted ads.
— Dirk Auer (@AuerDirk) February 12, 2021
More and more tools (privacy labels, ad blockers, GDPR) enable consumers to opt-out from targeted ads - can limit the data platforms receive or block ads altogether.
The end of targeted ads? \U0001f9f5\U0001f447 https://t.co/MA6A3BrUWq
Research also finds that firms choose between ad. targeting vs. obtrusiveness 👇
If true, the right question is not whether consumers prefer contextual ads to targeted ones. But whether they prefer *more* contextual ads vs *fewer* targeted
2) True, many inframarginal platforms might simply shift to contextual ads.
But some might already be almost indifferent between direct & indirect monetization.
Hard to imagine that *none* of them will respond to reduced ad revenue with actual fees.
3) Policy debate seems to be moving from:
"Consumers are insufficiently informed to decide how they share their data."
To
"No one in their right mind would agree to highly targeted ads (e.g., those that mix data from multiple sources)."
IMO the latter statement is incorrect.
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Keep dwelling on this:
Further Examination of the Motif near PRRA Reveals Close Structural Similarity to the SEB Superantigen as well as Sequence Similarities to Neurotoxins and a Viral SAg.
The insertion PRRA together with 7 sequentially preceding residues & succeeding R685 (conserved in β-CoVs) form a motif, Y674QTQTNSPRRAR685, homologous to those of neurotoxins from Ophiophagus (cobra) and Bungarus genera, as well as neurotoxin-like regions from three RABV strains
(20) (Fig. 2D). We further noticed that the same segment bears close similarity to the HIV-1 glycoprotein gp120 SAg motif F164 to V174.
https://t.co/EwwJOSa8RK
In (B), the segment S680PPRAR685 including the PRRA insert and highly conserved cleavage site *R685* is shown in van der Waals representation (black labels) and nearby CDR residues of the TCRVβ domain are labeled in blue/white
https://t.co/BsY8BAIzDa
Sequence Identity %
https://t.co/BsY8BAIzDa
Y674 - QTQTNSPRRA - R685
Similar to neurotoxins from Ophiophagus (cobra) & Bungarus genera & neurotoxin-like regions from three RABV strains
T678 - NSPRRA- R685
Superantigenic core, consistently aligned against bacterial or viral SAgs
Further Examination of the Motif near PRRA Reveals Close Structural Similarity to the SEB Superantigen as well as Sequence Similarities to Neurotoxins and a Viral SAg.
The insertion PRRA together with 7 sequentially preceding residues & succeeding R685 (conserved in β-CoVs) form a motif, Y674QTQTNSPRRAR685, homologous to those of neurotoxins from Ophiophagus (cobra) and Bungarus genera, as well as neurotoxin-like regions from three RABV strains
(20) (Fig. 2D). We further noticed that the same segment bears close similarity to the HIV-1 glycoprotein gp120 SAg motif F164 to V174.
https://t.co/EwwJOSa8RK
In (B), the segment S680PPRAR685 including the PRRA insert and highly conserved cleavage site *R685* is shown in van der Waals representation (black labels) and nearby CDR residues of the TCRVβ domain are labeled in blue/white
https://t.co/BsY8BAIzDa
Sequence Identity %
https://t.co/BsY8BAIzDa
Y674 - QTQTNSPRRA - R685
Similar to neurotoxins from Ophiophagus (cobra) & Bungarus genera & neurotoxin-like regions from three RABV strains
T678 - NSPRRA- R685
Superantigenic core, consistently aligned against bacterial or viral SAgs
