RRID:AB_312867
DOI: 10.1016/j.ccell.2026.03.004
Resource: (BioLegend Cat# 102102, RRID:AB_312867)
Curator: @scibot
SciCrunch record: RRID:AB_312867
RRID:AB_312867
DOI: 10.1016/j.ccell.2026.03.004
Resource: (BioLegend Cat# 102102, RRID:AB_312867)
Curator: @scibot
SciCrunch record: RRID:AB_312867
RRID:AB_2732791
DOI: 10.1016/j.ccell.2026.03.004
Resource: (Abcam Cat# ab188334, RRID:AB_2732791)
Curator: @scibot
SciCrunch record: RRID:AB_2732791
RRID:AB_312667
DOI: 10.1016/j.ccell.2026.03.004
Resource: (BioLegend Cat# 100302, RRID:AB_312667)
Curator: @scibot
SciCrunch record: RRID:AB_312667
RRID:AB_3675461
DOI: 10.1016/j.ccell.2026.03.004
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_3675461
RRID:AB_493555
DOI: 10.1016/j.ccell.2026.03.004
Resource: (BioLegend Cat# 120802, RRID:AB_493555)
Curator: @scibot
SciCrunch record: RRID:AB_493555
AB_16669
DOI: 10.1016/j.ccell.2026.03.004
Resource: None
Curator: @areedewitt04
SciCrunch record: RRID:AB_443425
AB_315160
DOI: 10.1016/j.ccell.2026.03.004
Resource: None
Curator: @areedewitt04
SciCrunch record: RRID:AB_3697666
AB_9475
DOI: 10.1016/j.ccell.2026.03.004
Resource: None
Curator: @areedewitt04
SciCrunch record: RRID:AB_307267
AB_245118
DOI: 10.1016/j.ccell.2026.03.004
Resource: None
Curator: @areedewitt04
SciCrunch record: RRID:AB_3068617
RRID:AB_324217
DOI: 10.1016/j.bbi.2026.106563
Resource: (Bio-Rad Cat# MCA1957GA, RRID:AB_324217)
Curator: @scibot
SciCrunch record: RRID:AB_324217
RRID:AB_2063012
DOI: 10.1016/j.bbi.2026.106563
Resource: (R and D Systems Cat# AF2535, RRID:AB_2063012)
Curator: @scibot
SciCrunch record: RRID:AB_2063012
RRID:AB_354811
DOI: 10.1016/j.bbi.2026.106563
Resource: (R and D Systems Cat# AF1460, RRID:AB_354811)
Curator: @scibot
SciCrunch record: RRID:AB_354811
RRID:AB_839506
DOI: 10.1016/j.bbi.2026.106563
Resource: (Wako Cat# 016-20001, RRID:AB_839506)
Curator: @scibot
SciCrunch record: RRID:AB_839506
RRID:AB_2255365
DOI: 10.1016/j.bbi.2026.106563
Resource: (Millipore Cat# MAB354, RRID:AB_2255365)
Curator: @scibot
SciCrunch record: RRID:AB_2255365
RRID:AB_2810945
DOI: 10.1016/j.bbi.2026.106563
Resource: (Jaewon Ko lab, Daegu Gyeongbuk Institute of Science and Technology, South Korea Cat# JK111, RRID:AB_2810945)
Curator: @scibot
SciCrunch record: RRID:AB_2810945
RRID:AB_2565327
DOI: 10.1016/j.bbi.2026.106563
Resource: (BioLegend Cat# 803017, RRID:AB_2565327)
Curator: @scibot
SciCrunch record: RRID:AB_2565327
RRID:AB_10626776
DOI: 10.1016/j.bbi.2026.106554
Resource: (Cell Signaling Technology Cat# 4082, RRID:AB_10626776)
Curator: @scibot
SciCrunch record: RRID:AB_10626776
RRID:AB_300614
DOI: 10.1016/j.bbi.2026.106554
Resource: (Abcam Cat# ab1376, RRID:AB_300614)
Curator: @scibot
SciCrunch record: RRID:AB_300614
RRID:AB_2747772
DOI: 10.1016/j.bbi.2026.106554
Resource: (Antibodies.com Cat# A85387, RRID:AB_2747772)
Curator: @scibot
SciCrunch record: RRID:AB_2747772
RRID:IMSR_JAX:017526
DOI: 10.1016/j.bbi.2026.106554
Resource: (IMSR Cat# JAX_017526,RRID:IMSR_JAX:017526)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:017526
RRID:AB_2533113
DOI: 10.1016/j.bbi.2026.106554
Resource: (Thermo Fisher Scientific Cat# 33-3400, RRID:AB_2533113)
Curator: @scibot
SciCrunch record: RRID:AB_2533113
RRID:AB_2849052
DOI: 10.1016/j.bbi.2026.106554
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2849052
RRID:Addgene_62988
DOI: 10.1016/j.ajhg.2026.03.002
Resource: RRID:Addgene_62988
Curator: @scibot
SciCrunch record: RRID:Addgene_62988
RRID:AB_2892682
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_3718609
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_955447
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_2753196
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_2107448
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_2076150
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_10644283
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_3678465
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_302459
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_2756528
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_2894870
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_10597232
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_2289842
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_3083804
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_2210545
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_2801561
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_955417
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
RRID:AB_2714032
Traceback (most recent call last): File "/home/ubuntu/dashboard/py/create_release_tables.py", line 54, in format_anno_for_release parsedanno = HypothesisAnnotation(anno) File "/home/ubuntu/dashboard/py/hypothesis.py", line 192, in init t = row['document']['title'] TypeError: string indices must be integers
AB_2782994
DOI: 10.1007/s00401-026-03000-x
Resource: (Abcam Cat# ab150136, RRID:AB_2782994)
Curator: @scibot
SciCrunch record: RRID:AB_2782994
AB_2921070
DOI: 10.1007/s00401-026-03000-x
Resource: (Thermo Fisher Scientific Cat# A78948, RRID:AB_2921070)
Curator: @scibot
SciCrunch record: RRID:AB_2921070
AB_2534102
DOI: 10.1007/s00401-026-03000-x
Resource: (Thermo Fisher Scientific Cat# A-11055, RRID:AB_2534102)
Curator: @scibot
SciCrunch record: RRID:AB_2534102
AB_141637
DOI: 10.1007/s00401-026-03000-x
Resource: (Molecular Probes Cat# A-21207, RRID:AB_141637)
Curator: @scibot
SciCrunch record: RRID:AB_141637
AB_2313606
DOI: 10.1007/s00401-026-03000-x
Resource: (Vector Laboratories Cat# BA-1000, RRID:AB_2313606)
Curator: @scibot
SciCrunch record: RRID:AB_2313606
AB_2336126
DOI: 10.1007/s00401-026-03000-x
Resource: (Thermo Fisher Scientific Cat# NC0168237, RRID:AB_2334930)
Curator: @scibot
SciCrunch record: RRID:AB_2334930
AB_2571721
DOI: 10.1007/s00401-026-03000-x
Resource: (Abcam Cat# ab150109, RRID:AB_2571721)
Curator: @scibot
SciCrunch record: RRID:AB_2571721
AB_3683672
DOI: 10.1007/s00401-026-03000-x
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_3683672
AB_2336171
DOI: 10.1007/s00401-026-03000-x
Resource: (Thermo Fisher Scientific Cat# ICN613561, RRID:AB_2334975)
Curator: @scibot
SciCrunch record: RRID:AB_2334975
AB_2721184
DOI: 10.1007/s00401-026-03000-x
Resource: (Abcam Cat# ab180862, RRID:AB_2721184)
Curator: @scibot
SciCrunch record: RRID:AB_2721184
AB_2860569
DOI: 10.1007/s00401-026-03000-x
Resource: (Abcam Cat# ab150065, RRID:AB_2860569)
Curator: @scibot
SciCrunch record: RRID:AB_2860569
AB_2157554
DOI: 10.1007/s00401-026-03000-x
Resource: (R and D Systems Cat# AF2418, RRID:AB_2157554)
Curator: @scibot
SciCrunch record: RRID:AB_2157554
AB_2237198
DOI: 10.1007/s00401-026-03000-x
Resource: (Bio-Rad Cat# MCA839G, RRID:AB_2237198)
Curator: @scibot
SciCrunch record: RRID:AB_2237198
AB_3713255
DOI: 10.1007/s00401-026-03000-x
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_3713255
AB_10807410
DOI: 10.1007/s00401-026-03000-x
Resource: (Millipore Cat# MABN50, RRID:AB_10807410)
Curator: @scibot
SciCrunch record: RRID:AB_10807410
AB_2270116
DOI: 10.1007/s00401-026-03000-x
Resource: (R and D Systems Cat# AF4709, RRID:AB_2270116)
Curator: @scibot
SciCrunch record: RRID:AB_2270116
AB_2118009
DOI: 10.1007/s00401-026-03000-x
Resource: (Cell Signaling Technology Cat# 9718, RRID:AB_2118009)
Curator: @scibot
SciCrunch record: RRID:AB_2118009
AB_298023
DOI: 10.1007/s00401-026-03000-x
Resource: (Abcam Cat# ab11419, RRID:AB_298023)
Curator: @scibot
SciCrunch record: RRID:AB_298023
AB_870576
DOI: 10.1007/s00401-026-03000-x
Resource: (Abcam Cat# ab48004, RRID:AB_870576)
Curator: @scibot
SciCrunch record: RRID:AB_870576
AB_2082593
DOI: 10.1007/s00401-026-03000-x
Resource: (Abcam Cat# ab6319, RRID:AB_2082593)
Curator: @scibot
SciCrunch record: RRID:AB_2082593
AB_839504
DOI: 10.1007/s00401-026-03000-x
Resource: (Wako Cat# 019-19741, RRID:AB_839504)
Curator: @scibot
SciCrunch record: RRID:AB_839504
AB_2341188
DOI: 10.1007/s00401-026-03000-x
Resource: (Cell Signaling Technology Cat# 9661, RRID:AB_2341188)
Curator: @scibot
SciCrunch record: RRID:AB_2341188
AB_304558
DOI: 10.1007/s00401-026-03000-x
Resource: (Abcam Cat# ab4674, RRID:AB_304558)
Curator: @scibot
SciCrunch record: RRID:AB_304558
AB_2298772
DOI: 10.1007/s00401-026-03000-x
Resource: (Millipore Cat# MAB377, RRID:AB_2298772)
Curator: @scibot
SciCrunch record: RRID:AB_2298772
AB_10979984
DOI: 10.1007/s00401-026-03000-x
Resource: (Thermo Fisher Scientific Cat# MA5-11966, RRID:AB_10979984)
Curator: @scibot
SciCrunch record: RRID:AB_10979984
AB_3662876
DOI: 10.1007/s00401-026-03000-x
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_3662876
AB_2910214
DOI: 10.1007/s00401-026-03000-x
Resource: (Abcam Cat# ab254268, RRID:AB_2910214)
Curator: @scibot
SciCrunch record: RRID:AB_2910214
RRID:SCR_008520
DOI: 10.1007/s00262-026-04369-0
Resource: FlowJo (RRID:SCR_008520)
Curator: @scibot
SciCrunch record: RRID:SCR_008520
RRID:AB_2869821
DOI: 10.1007/s00262-026-04369-0
Resource: (BD Biosciences Cat# 566685, RRID:AB_2869821)
Curator: @scibot
SciCrunch record: RRID:AB_2869821
RRID:SCR_025285
DOI: 10.1007/s00262-026-04369-0
Resource: BD LSRFortessa X-20 Cell Analyzer (RRID:SCR_025285)
Curator: @scibot
SciCrunch record: RRID:SCR_025285
RRID:AB_468926
DOI: 10.1007/s00262-026-04369-0
Resource: (Thermo Fisher Scientific Cat# 16-0289-81, RRID:AB_468926)
Curator: @scibot
SciCrunch record: RRID:AB_468926
RRID:AB_2799286
DOI: 10.1007/s00262-026-04369-0
Resource: (Cell Signaling Technology Cat# 45581, RRID:AB_2799286)
Curator: @scibot
SciCrunch record: RRID:AB_2799286
RRID:AB_2800052
DOI: 10.1007/s00262-026-04369-0
Resource: (Cell Signaling Technology Cat# 85336, RRID:AB_2800052)
Curator: @scibot
SciCrunch record: RRID:AB_2800052
RRID:SCR_002798
DOI: 10.1007/s00262-026-04369-0
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
RRID:AB_2096270
DOI: 10.1007/s00262-026-04369-0
Resource: (Cell Signaling Technology Cat# 3777, RRID:AB_2096270)
Curator: @scibot
SciCrunch record: RRID:AB_2096270
RRID:AB_10796606
DOI: 10.1007/s00262-026-04369-0
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_10796606
RRID:AB_10858224
DOI: 10.1007/s00262-026-04369-0
Resource: (Cell Signaling Technology Cat# 8198, RRID:AB_10858224)
Curator: @scibot
SciCrunch record: RRID:AB_10858224
RRID:AB_10966207
DOI: 10.1007/s00262-026-04369-0
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_10966207
RRID:AB_2246311
DOI: 10.1007/s00262-026-04369-0
Resource: (Cell Signaling Technology Cat# 4267, RRID:AB_2246311)
Curator: @scibot
SciCrunch record: RRID:AB_2246311
RRID:AB_2143884
DOI: 10.1007/s00262-026-04369-0
Resource: (Cell Signaling Technology Cat# 3077, RRID:AB_2143884)
Curator: @scibot
SciCrunch record: RRID:AB_2143884
RRID:SCR_023617
DOI: 10.1007/s00262-026-04369-0
Resource: Keyence BZ-X800 Fluorescent Microscope (RRID:SCR_023617)
Curator: @scibot
SciCrunch record: RRID:SCR_023617
RRID:IMSR_JAX:013062
DOI: 10.1007/s00262-026-04349-4
Resource: (IMSR Cat# JAX_013062,RRID:IMSR_JAX:013062)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:013062
RRID:IMSR_JAX:005557
DOI: 10.1007/s00262-026-04349-4
Resource: (IMSR Cat# JAX_005557,RRID:IMSR_JAX:005557)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:005557
RRID:MMRRC_075939-UCD
DOI: 10.1101/2024.12.05.627039
Resource: None
Curator: @AleksanderDrozdz
SciCrunch record: RRID:MMRRC_075939-JAX
RRID:CR_002798
DOI: 10.1016/j.immuni.2026.03.002
Resource: None
Curator: @areedewitt04
SciCrunch record: RRID:SCR_002798
The Jackson Laboratory Cat_024046
DOI: 10.1016/j.immuni.2026.02.013
Resource: None
Curator: @areedewitt04
SciCrunch record: RRID:IMSR_JAX:024046
The Jackson Laboratory Cat_015812
DOI: 10.1016/j.immuni.2026.02.013
Resource: None
Curator: @areedewitt04
SciCrunch record: RRID:IMSR_JAX:015812
Jackson Laboratory Cat_003831
DOI: 10.1016/j.devcel.2026.02.020
Resource: None
Curator: @areedewitt04
SciCrunch record: RRID:IMSR_JAX:003831
RRID:AAB_331729
DOI: 10.1016/j.devcel.2026.02.020
Resource: None
Curator: @areedewitt04
SciCrunch record: RRID:AB_331731
plasmid_6577742
DOI: 10.1038/s41598-026-40642-z
Resource: None
Curator: @olekpark
SciCrunch record: RRID:Addgene_65777
plasmid_18591282
DOI: 10.1038/s41598-026-40642-z
Resource: None
Curator: @olekpark
SciCrunch record: RRID:Addgene_185912
Plasmid_17482483
DOI: 10.1038/s41598-026-40642-z
Resource: None
Curator: @olekpark
SciCrunch record: RRID:Addgene_174824
plasmid_16441360
DOI: 10.1038/s41598-026-40642-z
Resource: None
Curator: @olekpark
SciCrunch record: RRID:Addgene_164413
plasmid_16441160
DOI: 10.1038/s41598-026-40642-z
Resource: None
Curator: @olekpark
SciCrunch record: RRID:Addgene_164411
plasmid_13848923
DOI: 10.1038/s41598-026-40642-z
Resource: None
Curator: @olekpark
SciCrunch record: RRID:Addgene_138489
plasmid_13277781
DOI: 10.1038/s41598-026-40642-z
Resource: None
Curator: @olekpark
SciCrunch record: RRID:Addgene_132777
The summary is, we cant use the if statement in JSX because that if statement will be written as a function parameter of React.createElement, and we cant do that. This is the same reason why we can't use the switch case and for statement inside JSX. Hopefully, my explanation will help you to understand why we can't write if statement in JSX
povzetek
The only difference is it will use the ternary operator in the React.createElement last parameter. And, technically, we can use the ternary operator as a function parameter. So our code will work
ternarni ozraz
The problem is that the if statement will be written to the React.createElement last parameter. And technically, we can't write if statement as a function parameter. So it break our code
if stavek jsx
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e dopamine die je krijgt van het scrollen is niets meer dan een 'verwachting van' een beloning, een beloning die nooit komt want uiteindelijk heb je uren lopen scrollen als een zombie en voel je je enkel meer miserabel. Terwijl uit de dopamine die je krijgt van dingen zoals al die muziek op je mp3-speler downloaden, wel echt een beloning volgt. Dat kan verklaren waardoor je je zoveel beter voelt, je hebt ook écht een resultaat waar je blij mee bent
dopamine hit from expecting a reward, vs dopamine from actual rewards, as explanation for the bad feeling endless scroll creates.
video make Ella Aafjes on breaking her endless scrolling habits on mobile. Put her phone away for a dumber one for a month to detox. Switched to other things (Mp3 player, separate camera, note book, reading). But realised she did that in 2019 too to no avail. Then heard her 2019 self say something about time being money. That metaphor stuck: every hour as a coin in the slot machine, where socmed has not returns.
test
GACow
Gaokao
The modern making of magic is caught up with hegemoniesof the rea
The author argues that the word “magic” is not neutral and it is related to power and to how reality is defined and understood.
a “mentally impaired bung
Language and naming can carry clear positions. This case shows a subtle form of stigmatization.
The world may be multicultural, but it is mono- or uninatu-ral.
I agree with the author’s idea. Even though the world has many cultures, these cultures are not only different opinions about the same thing. They come from different experiences. A example is the idea of “art” in China. Before the Western idea of art came to China, China did not really have the same concept of art. Many traditional sculptures and objects were made for religion, or social use. They were not made as independent artworks. However, after Western art theory came to China, many of these objects were called “art”.
This process often ignores the original cultural background. When people use an existing framework, they may put different cultural practices into the same category if they look similar. But this can hide the real differences in how cultures understand the world.
This is the computational content of empiricism — physics is what physics computes.
This is 'it'
using SemanticCommit, we recorded all instances of edits, check for conflicts, make change, local, and global resolution actions using telemetry.
sentences describing methods the authors used; one sentence at a time
A sub-task was considered a failure if the participant was unable to complete it within the time limit.
sentences describing methods the authors used; one sentence at a time
Finally, we conducted an informal interview about their experience.
sentences describing methods the authors used; one sentence at a time
After both tasks were completed, participants filled out a final survey to compare the two conditions.
sentences describing methods the authors used; one sentence at a time
We chose GPT-4o for performance and latency reasons, as it performed optimally against our evals.
sentences describing methods the authors used; one sentence at a time
We also ran evaluations of model latency and classification performance under varying false positive rates for the following LLMs by OpenAI: GPT-4o, GPT-4o-mini, and o3-mini.
sentences describing methods the authors used; one sentence at a time
For each task, participants were tasked with integrating three new pieces of information into the memory, one at a time ("sub-tasks").
sentences describing methods the authors used; one sentence at a time
We ensured each list was 30 items long as our pilot studies suggested this was long enough that manual detection starts to become unwieldy (users need to scroll up and down the document), but short enough that participants could become familiar in a short period.
sentences describing methods the authors used; one sentence at a time
We adapted two intent specifications from our evals: Mars Game Design Document and Financial Advice AI Agent Memory, as these tasks mapped to the two paradigmatic types covered in Sections 2 and 2.1 (design documents, and AI memory of the user).
sentences describing methods the authors used; one sentence at a time
We recruited 12 participants (7 female, 5 male) through the mailing lists of two research universities and one multinational technology company.
sentences describing methods the authors used; one sentence at a time
We chose OpenAI's ChatGPT Canvas as a baseline for five reasons: (i) it is a popular, commercially available tool, hence it is likely familiar to users; (ii) it provides a document editing view, where users can select text and ask GPT to rewrite it, or chat with an AI to make global edits; (iii) it employs a similar class of model (GPT-4o); (iv) it supports similar editing features as SemanticCommit like inline text selection, conflict highlighting, and a diff view, while adding free-form editing; and (v) similar interfaces like Anthropic Artifacts tended to rewrite the specification entirely, and did not offer Canvas's "diff" view to allow for a fair comparison.
sentences describing methods the authors used; one sentence at a time
With participant consent, we recorded audio and screen-casts, and participants were encouraged to think aloud.
sentences describing methods the authors used; one sentence at a time
Four coauthors created the evals, and two coauthors manually double-checked all conflicts, a process that took several days.
sentences describing methods the authors used; one sentence at a time
We ran one pilot study with five users of our card-based interface, and a second with four users of a revised interface.
sentences describing methods the authors used; one sentence at a time
Our explorations went through substantial iterations and prompt prototyping over a period of eight months, evolving in response to two pilot studies and progressing from a card-based interface to a list of texts.
sentences describing methods the authors used; one sentence at a time
We iterated on prompts using ChainForge [5] by setting up an evaluation pipeline against our datasets, which allowed us to observe the effects of prompt changes and model choices.
sentences describing methods the authors used; one sentence at a time
To measure statistical significance, we used Mann–Whitney–Wilcoxon tests and report the p-values.
sentences describing methods the authors used; one sentence at a time
For qualitative analysis, the first author performed open coding on participant responses and audio transcripts to identify themes, which were used to interpret the qualitative results.
sentences describing methods the authors used; one sentence at a time
In the post-task surveys, we collected self-reported NASA Task Load Index (TLX) scores, Likert-scale ratings for ease of use, and responses on how well the AI helped participants identify, understand, and resolve semantic conflicts.
sentences describing methods the authors used; one sentence at a time
Each condition had a time limit of 15 minutes, after which the participant completed a post-task survey.
sentences describing methods the authors used; one sentence at a time
Before each task, participants received a tutorial on the assigned tool and were given five minutes to explore it using a test document.
sentences describing methods the authors used; one sentence at a time
Both the order of task assignment and tool assignment were counterbalanced and randomly assigned.
sentences describing methods the authors used; one sentence at a time
We conducted a controlled within-subjects study with mixed methods, comparing SemanticCommit with a baseline interface.
sentences describing methods the authors used; one sentence at a time
We run end-to-end on our four eval datasets using GPT-4o and GPT-4o-mini and report the mean ± stddev for accuracy, precision, recall, and F1 scores for the three approaches in Figure 5.
sentences describing methods the authors used; one sentence at a time
We compare our end-to-end system against two simpler methods: (i) DropAllDocs, which adds all documents to the context for conflict classification; and (ii) InkSync [56] which generates a JSON list of string-replace operations.
sentences describing methods the authors used; one sentence at a time
In order to minimize relevance assessment issues, we apply a PageRank-based relevance ranking over the KG, akin to HippoRAG [36].
sentences describing methods the authors used; one sentence at a time
We implement the back-end using a knowledge-graph (KG) RAG architecture [36] consisting of two phases: pre-processing and inference.
sentences describing methods the authors used; one sentence at a time
Through a within-subjects study with 12 participants comparing SemanticCommit to a chat-with-document baseline (OpenAI Canvas), we find differences in workflow: half of our participants adopted a workflow of impact analysis when using SemanticCommit, where they would first flag conflicts without AI revisions then resolve conflicts locally, despite having access to a global revision feature.
sentences describing methods the authors used; one sentence at a time
We implement the back-end using a knowledge-graph (KG) RAG architecture [36] consisting of two phases: pre-processing and inference.
sentences describing methods the authors used; one sentence at a time
In order to minimize relevance assessment issues, we apply a PageRank-based relevance ranking over the KG, akin to HippoRAG [36].
sentences describing methods the authors used; one sentence at a time
We compare our end-to-end system against two simpler methods: (i) DropAllDocs, which adds all documents to the context for conflict classification; and (ii) InkSync [56] which generates a JSON list of string-replace operations.
sentences describing methods the authors used; one sentence at a time
We run end-to-end on our four eval datasets using GPT-4o and GPT-4o-mini and report the mean ± stddev for accuracy, precision, recall, and F1 scores for the three approaches in Figure 5.
sentences describing methods the authors used; one sentence at a time
We conducted a controlled within-subjects study with mixed methods, comparing SemanticCommit with a baseline interface.
sentences describing methods the authors used; one sentence at a time
Both the order of task assignment and tool assignment were counterbalanced and randomly assigned.
sentences describing methods the authors used; one sentence at a time
Before each task, participants received a tutorial on the assigned tool and were given five minutes to explore it using a test document.
sentences describing methods the authors used; one sentence at a time
Each condition had a time limit of 15 minutes, after which the participant completed a post-task survey.
sentences describing methods the authors used; one sentence at a time
In the post-task surveys, we collected self-reported NASA Task Load Index (TLX) scores, Likert-scale ratings for ease of use, and responses on how well the AI helped participants identify, understand, and resolve semantic conflicts.
sentences describing methods the authors used; one sentence at a time
For qualitative analysis, the first author performed open coding on participant responses and audio transcripts to identify themes, which were used to interpret the qualitative results.
sentences describing methods the authors used; one sentence at a time
To measure statistical significance, we used Mann–Whitney–Wilcoxon tests and report the p-values.
sentences describing methods the authors used; one sentence at a time
We iterated on prompts using ChainForge [5] by setting up an evaluation pipeline against our datasets, which allowed us to observe the effects of prompt changes and model choices.
sentences describing methods the authors used; one sentence at a time
Our explorations went through substantial iterations and prompt prototyping over a period of eight months, evolving in response to two pilot studies and progressing from a card-based interface to a list of texts.
sentences describing methods the authors used; one sentence at a time
We ran one pilot study with five users of our card-based interface, and a second with four users of a revised interface.
sentences describing methods the authors used; one sentence at a time
Four coauthors created the evals, and two coauthors manually double-checked all conflicts, a process that took several days.
sentences describing methods the authors used; one sentence at a time
With participant consent, we recorded audio and screen-casts, and participants were encouraged to think aloud.
sentences describing methods the authors used; one sentence at a time
These semantic conflicts require dedicated support to detect, visualize, and resolve. Semantic conflict resolution interfaces must go beyond visualizing what changes were made, to what changes could be made, where they should be made, and what the effects might be. This resembles feedforward: affordances that help the user foresee the impact of an action [67, 93].
sentences describing connections to theory; one sentence at a time
Today with LLMs, we are less limited by this constraint, and solutions to the problem of human-machine communication might be better found in cybernetics theory [9] than static formalism.
sentences describing connections to theory; one sentence at a time
This reflects the principle of feedforward [67, 93] in communication theory—"a needed prescription or plan for a feedback, to which the actual feedback may or may not confirm" [79]—where a communicator provides "the context of what one was planning to talk about" [64, p. 179-80] in order to "pre-test the impact of [its output]" on the listener [34, p. 65].
sentences describing connections to theory; one sentence at a time
So THAT"S what's wrong with it! I knew it!!<br /> by [[Will Davis]] of Davis Typewriter Works <br /> accessed on 2026-03-26T21:08:50
注釈
(´・∀・`)へぇ〜
計算を軽くしてタスク数を増やし、転送コストが目立つケースを見てみましょう。
これって一つ前の起動コストが時間には含まれていないんですか?
起動コストは4ワーカーのみだから一つ前とおなじくらいってことなのかな?ちょっとぱっと見どこをどう計測しているんだろう?って思った
ほぼ
起動コストはほぼ
では
ではプロセス生成がない分
とか書いてもいいかも
Mac
MacBook Air
でもいいかなと
Given the move toward mandatory integration of Indigenous perspec
I first had a thought about one of the research articles I analyzed for a mental health project where a mental health service conducted a similar experience at a remote town in Nunavut to see how mental health services can be distributed at low remote communities. But I want to avoid the relational assumption of different Indigenous communities.
130First Peoples Child & Family Review | v14 | n1 | 2019Conversational method in Indigenous research© Kovachbeneficial to Indigenous students in the K-12 school system requires an anti-racist and decolonizingknowledge of Indigenous worldviews, community, and cultural norms (
Project Two could be breaking the intergenerational trauma amongst the Indigenous students at their school system.
The study found that an Indigenous methodology includes evidence of atribal epistemology, integration of a decolonizing aim, acknowledgement of preparations necessary forresearch, space for self-location, a clear understanding of purposefulness and motivation of the research,guardianship of sacred knowledges, adherence to tribal ethics and protocol, use of Indigenous methods(as conversation and story), and giving back
Our class session at the Tipi fulfilled these aspects of Indigenous methodology and was a very successful approach. I am sad to graduate and miss out on seeing Indigenous methodologies like this.
this method involved a small gift and tobacco to show acknowledgement ofthe relationship and respect for the insights being offered.
Tribal epistemology
symbiotic relationshipbetween the Indigenous epistemology, method, and interpretation that qualifies it as an Indigenousmethodology
This should be the relational aspect.
However, when used in an Indigenous framework, a conversational method invokes several distinctivecharacteristics: a) it is linked to a particular tribal epistemology (or knowledge) and situated within anIndigenous paradigm; b) it is relational; c) it is purposeful (most often involving a decolonizing aim); d) itinvolves particular protocol as determined by the epistemology and/or place; e) it involves an informalityand flexibility; f ) it is collaborative and dialogic, and g) it is reflexive.
I need to remind myself not to generalize the workshops and groups I was apart of as most of them did not involve tribal epistemology.
“collaborative storying” (p. 6), which positions the researcher as aparticipant. As both parties become engaged in a collaborative process, the relationship builds anddeepens as stories are shared
Similarly, I supported a recent workshop at UTM where Iranians came together to explain their stories, and to also hear my Iranian professor being first-hand affected by the war in the Middle East really made my realize my standpoint of being a privileged Canadian person, to be "geographically lucky"
Kuper Island Residential School. In reflecting why she chosestories as a method for her research, she reminisced on the stories her grandmothers passed along to her,how these stories shaped Thomas’s core being, and that such stories were “cultural, traditional,educational, spiritual, and politica
As a student enrolled in Indigenous courses for over 2 years now, I hadn't realized how recent Residential schools lasted. To hear out my Indigenous friends, classmates and professors and see how they have been affected by it really impacted my point of view.
Thomas goes on to state that storytelling has a holisticnature that provides a means for sharing remembrances that evoke the spiritual, emotional, physical, andmental.
I felt this exact same way while hearing out my classmates and Professor's Sherwood's recollection of memories with nature at the Tipi. The mixed stories of the positive and negative associations not only brought our group together but it highlighted the influence that post-colonial systems have on Earth and our relations with it.
Thomas (2005) utilized a storytelling methodology in her graduate research
This resonates with me because my WGS373 course with Dr.Farokhi involved a trauma-informed workshop where we had to recite to each other our stories, anything significant, which not only brought out emotions but an appropriate, consented and ethical way of sharing information with one another.
A decolonizing perspective is significantto Indigenous research because it focuses on Indigenous-settler relationships and seeks to interrogate thepowerful social relationships that marginalize Indigenous peoples (Nicoll, 2004). Interrogating the powerrelationships found within the Indigenous-settler dynamic enables a form of praxis that seeks outIndigenous voice and representation with research that has historically marginalized and silencedIndigenous peoples (
How does a researcher exactly execute this? To navigate Indigenous-settler relationships involves reviews and analysis of archives and contracts signed off between settlers and Indigenous people. It does not capture the context of the Indigenous perspective whatsoever. There was no significant relationship besides a contract.
it is notthe epistemological centre of an Indigenous methodological approach to research
correct.
decolonizing
anticolonial* I'm sorry but I believe we need to stray away from the term decolonization in order for the Indigenous paradigm to exist and function.
When using the term paradigmatic approach in relation to Indigenous methodologies, this meansthat this particular research approach flows from an Indigenous belief system that has at its core arelational understanding and accountability to the world (Steinhauer, 2001; Wilson, 2001). Indigenousepistemologies hold a non-human centric relational philosophy
Following up with the introduction of this reading, to research in Indigenous methodologies requires to unlearn and dismantle from Western knowledge.
ethics, accommodation, action, control, truth, validity, andvoice
Relational assumption. So there are assumptions of Indigenous communities and their families in Western research?
ontology, epistemology, and methodology)
So the issue is that the western perception of a paradigm is only the the basis of ontology, epistemology and methodology, which is not flexible at all to different kinds of knowledge outside of Western institutions.
In a paradigmatic approach to research, be it Indigenous or otherwise,methods ought to be congruent with the philosophical orientation identified in the research framework toshow internal methodological consistency.
The research framework should be consistent with the paradigm that it is supposed to follow. In terms of Indigenous frameworks, the research should not be extractive by any means, regardless if it is Indigenous or not. But I do believe if a non-Indigenous researcher is researching with an Indigenous framework, it requires a lot of guidance, check-ins, and working simultaneously with Indigenous communities, and getting feedback from them, not as participants but as the audience who are also the experts.
heconversational method is a means of gathering knowledge found within Indigenous research. Theconversational method is of significance to Indigenous methodologies because it is a method of gatheringknowledge based on oral storytelling tradition congruent with an Indigenous paradigm. It involvesdialogic participation that holds a deep purpose of sharing story as a means to assist others.
Article focuses on conversational method
While London may be better known for its pubs and taste in beer, DC offers a different bar-going experience. With clubs and pubs that tend to stay open later than their British counterparts, the DC night life tend to be less reserved overall.
In each of the two cities you eat foods mostly based on the culture of the country.
Washington, DC, is a “minority majority” city, which means the majority of its citizens are races other than white. In 2009, according to the US Census, 55 percent of DC residents were classified as “Black or African American” and 35 percent of its residents were classified as “white.” London, by contrast, has very few minorities—in 2006, 70 percent of its population was “white,” while only 10 percent was “black.” The racial demographic differences between the cities is drastic.
Washington DC has more diversity.
Both cities are rich in world and national history, though they developed on very different time lines. London, for example, has a history that dates back over two thousand years. It was part of the Roman Empire and known by the similar name, Londinium. It was not only one of the northernmost points of the Roman Empire but also the epicenter of the British Empire where it held significant global influence
London has existed for a long period of time than Washington. DC.
To this end, SCA first quantifies the importance of each transcript in each cell by converting transcript counts into surprisal scores (Fig. 1b; Additional File 1: Algorithm 1). To determine the score of a given transcript in a given cell, we compare its expression distribution among the cell’s k nearest neighbors to its global expression (i.e., to the expected distribution of the transcript among a set of k cells randomly chosen from the entire dataset) for a user-specified neighborhood size k. A transcript whose local expression deviates strongly from its global expression is more likely to inform the cell’s location in relation to other cells, and therefore its identity. We quantify this deviation through a Wilcoxon rank-sum test, which produces a p-value representing the probability of the observed deviation in a random set of k cells. Following Shannon’s definition [24], the surprisal or self-information of the observed deviation is then defined as the negative logarithm of its probability, i.e., as −log(p)-\log (p). This is a positive number which measures how surprising the transcript’s local expression is, in units of nats when the logarithm is natural (changing the base scales the scores by a constant factor, which does not affect SCA’s output). To distinguish over- from under-expression, we flip the sign for under-expressed transcripts (Methods). The resulting scores are compiled into a surprisal matrix with the same dimensionality as the input data.
这个思路是很有道理,结合背景来看某个基因是否重要,有足够的差异则可能重要。但是这个做法有个问题,因为单细胞技术的捕获问题,某个基因在 A cell 和邻居间的极大差异,可能是因为实验带来的误差,而并非是真实存在的。
We consider common sequences of chunk roles to be alignable structures that could be used to support users in identifying structural similarities and differences across sentences in different abstracts, in line with Structure-Mapping Theory [17].
sentences that mention theory, explicitly or implicitly; one sentence at a time
Like prior Structural Mapping Theory (SMT)-informed work in text corpora representation, AbstractExplorer's features have enabled some users to see more of both the overview and the details at the same time, facilitating abstraction without losing context.
sentences that mention theory, explicitly or implicitly; one sentence at a time
Our work demonstrates that designs informed by Structure-Mapping Theory can support users in navigating, making use of, and engaging with variation present in information.
sentences that mention theory, explicitly or implicitly; one sentence at a time
According to SMT, this generalization depends on most documents having some shared implicit structure.
sentences that mention theory, explicitly or implicitly; one sentence at a time
This ordering prioritizes dominant structural patterns (largest groups first) while exposing fine-grained variations (via length-sorted triplets), mirroring how humans compare sentences, if SMT is an accurate description in this domain of comparative close reading.
sentences that mention theory, explicitly or implicitly; one sentence at a time
Structural mappings between objects are part of the cognitive process of comparison according to the Structure-Mapping Theory [17], and juxtaposition can facilitate humans in recognizing particular possible structural mappings between objects [75].
sentences that mention theory, explicitly or implicitly; one sentence at a time
In SMT terminology, rendering and arranging according to corresponding chunks reify "commonalities in structure," while variation within corresponding chunks are "alignable differences" that users are predicted to notice.
sentences that mention theory, explicitly or implicitly; one sentence at a time
The prior SMT-informed tools in Section 2.3 for both code and natural language corpora suggest that the cognitive process of comparing texts may be no exception to the cognitive processes SMT predicts.
sentences that mention theory, explicitly or implicitly; one sentence at a time
SMT posits that visual alignment helps people perceive relational similarities and differences more clearly, thereby improving their ability to make meaningful comparisons and understand underlying patterns [28, 38, 47].
sentences that mention theory, explicitly or implicitly; one sentence at a time
SMT provides a framework for understanding how humans compare two or more objects by finding common structural alignments between objects.
sentences that mention theory, explicitly or implicitly; one sentence at a time
Structural Mapping Theory (SMT) is a long-standing well-vetted theory from Cognitive Science that describes how humans attend to and try to compare objects by finding mental representations of them that can be structurally mapped to each other (analogies).
sentences that mention theory, explicitly or implicitly; one sentence at a time
This SMT-informed approach, which AbstractExplorer shares, tries to give this mental machinery "a leg up," letting users perhaps skip some steps by accepting reified cross-document relationships identified by the computer.
sentences that mention theory, explicitly or implicitly; one sentence at a time
The human perceptual, comparative mental machinery that SMT describes is part of what enables humans to form more abstract structured mental models from concrete examples, among other critical knowledge tasks.
sentences that mention theory, explicitly or implicitly; one sentence at a time
These examples of text-centric lossless techniques do not abstract away or summarize; they strategically re-organize and re-render the existing text to help enhance readers' own perceptual cognition, informed by Structural Mapping Theory (SMT) [17].
sentences that mention theory, explicitly or implicitly; one sentence at a time
Theory (SMT) to facilitate seeing both the overview and the details at the same time, facilitating abstraction without losing context.
sentences that mention theory, explicitly or implicitly; one sentence at a time