RRID:SCR_002798
DOI: 10.1016/j.devcel.2026.06.004
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
RRID:SCR_002798
DOI: 10.1016/j.devcel.2026.06.004
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
JAX:022074
DOI: 10.1016/j.devcel.2026.06.004
Resource: RRID:IMSR_JAX:022074
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:022074
RRID:SCR_013672
DOI: 10.1016/j.devcel.2026.06.004
Resource: ZEISS ZEN Microscopy Software (RRID:SCR_013672)
Curator: @scibot
SciCrunch record: RRID:SCR_013672
RRID:SCR_002668
DOI: 10.1016/j.devcel.2026.06.004
Resource: Volocity 3D Image Analysis Software (RRID:SCR_002668)
Curator: @scibot
SciCrunch record: RRID:SCR_002668
RRID:SCR_006158
DOI: 10.1016/j.devcel.2026.06.004
Resource: International Mouse Phenotyping Consortium (IMPC) (RRID:SCR_006158)
Curator: @scibot
SciCrunch record: RRID:SCR_006158
RRID:AB_514496
DOI: 10.1016/j.devcel.2026.06.004
Resource: (Sigma-Aldrich Cat# 11333089001, RRID:AB_514496)
Curator: @scibot
SciCrunch record: RRID:AB_514496
RRID:SCR_018361
DOI: 10.1016/j.devcel.2026.06.004
Resource: Biorender (RRID:SCR_018361)
Curator: @scibot
SciCrunch record: RRID:SCR_018361
RRID:AB_2200235
DOI: 10.1016/j.devcel.2026.06.004
Resource: (R and D Systems Cat# AF2085, RRID:AB_2200235)
Curator: @scibot
SciCrunch record: RRID:AB_2200235
RRID:SCR_021946
DOI: 10.1016/j.devcel.2026.06.004
Resource: CellChat (RRID:SCR_021946)
Curator: @scibot
SciCrunch record: RRID:SCR_021946
RRID:AB_11127203
DOI: 10.1016/j.devcel.2026.06.004
Resource: (Cell Signaling Technology Cat# 8814, RRID:AB_11127203)
Curator: @scibot
SciCrunch record: RRID:AB_11127203
SCR_002285
DOI: 10.1016/j.devcel.2026.06.004
Resource: Fiji (RRID:SCR_002285)
Curator: @scibot
SciCrunch record: RRID:SCR_002285
RRID:AB_1537404
DOI: 10.1016/j.devcel.2026.06.004
Resource: (Rockland Cat# 600-901-B12, RRID:AB_1537404)
Curator: @scibot
SciCrunch record: RRID:AB_1537404
RRID:AB_1645261
DOI: 10.1016/j.devcel.2026.06.004
Resource: (BD Biosciences Cat# 560259, RRID:AB_1645261)
Curator: @scibot
SciCrunch record: RRID:AB_1645261
RRID:AB_2714146
DOI: 10.1016/j.devcel.2026.06.004
Resource: (Cell Signaling Technology Cat# 23064, RRID:AB_2714146)
Curator: @scibot
SciCrunch record: RRID:AB_2714146
RRID:AB_2827573
DOI: 10.1016/j.cub.2026.06.012
Resource: (ChromoTek Cat# gb2AF488-10, RRID:AB_2827573)
Curator: @scibot
SciCrunch record: RRID:AB_2827573
RRID:SCR_023105
DOI: 10.1016/j.crmeth.2026.101510
Resource: University of Michigan Ann Arbor Natural Products Discovery Core Facility (RRID:SCR_023105)
Curator: @scibot
SciCrunch record: RRID:SCR_023105
RRID:SCR_014212
DOI: 10.1016/j.cpblue.2026.100055
Resource: Origin (RRID:SCR_014212)
Curator: @scibot
SciCrunch record: RRID:SCR_014212
AB_143165
DOI: 10.1016/j.chom.2026.06.005
Resource: (Thermo Fisher Scientific Cat# A-11008, RRID:AB_143165)
Curator: @scibot
SciCrunch record: RRID:AB_143165
RRID:AB_10861012
DOI: 10.1016/j.chom.2026.06.005
Resource: (Abcam Cat# ab109411, RRID:AB_10861012)
Curator: @scibot
SciCrunch record: RRID:AB_10861012
RRID:AB_3741090
DOI: 10.1016/j.chom.2026.06.005
Resource: RRID:AB_3741090
Curator: @scibot
SciCrunch record: RRID:AB_3741090
RRID:AB_330924
DOI: 10.1016/j.chom.2026.06.005
Resource: (Cell Signaling Technology Cat# 7076, RRID:AB_330924)
Curator: @scibot
SciCrunch record: RRID:AB_330924
RRID:AB_10733242
DOI: 10.1016/j.chom.2026.06.005
Resource: (Proteintech Cat# 21773-1-AP, RRID:AB_10733242)
Curator: @scibot
SciCrunch record: RRID:AB_10733242
RRID:AB_2099233
DOI: 10.1016/j.chom.2026.06.005
Resource: (Cell Signaling Technology Cat# 7074, RRID:AB_2099233)
Curator: @scibot
SciCrunch record: RRID:AB_2099233
RRID:AB_2687938
DOI: 10.1016/j.chom.2026.06.005
Resource: (Proteintech Cat# 66009-1-Ig, RRID:AB_2687938)
Curator: @scibot
SciCrunch record: RRID:AB_2687938
RRID:AB_2881190
DOI: 10.1016/j.chom.2026.06.005
Resource: (Proteintech Cat# 28674-1-AP, RRID:AB_2881190)
Curator: @scibot
SciCrunch record: RRID:AB_2881190
RRID:AB_2880820
DOI: 10.1016/j.chom.2026.06.005
Resource: (Proteintech Cat# 27260-1-AP, RRID:AB_2880820)
Curator: @scibot
SciCrunch record: RRID:AB_2880820
RRID:AB_2881821
DOI: 10.1016/j.chom.2026.06.005
Resource: (Proteintech Cat# 66452-1-Ig, RRID:AB_2881821)
Curator: @scibot
SciCrunch record: RRID:AB_2881821
RRID:AB_3750754
DOI: 10.1016/j.chom.2026.06.005
Resource: RRID:AB_3750754
Curator: @scibot
SciCrunch record: RRID:AB_3750754
RRID:AB_2943166
DOI: 10.1016/j.chom.2026.06.005
Resource: RRID:AB_2943166
Curator: @scibot
SciCrunch record: RRID:AB_2943166
RRID:AB_2534073
DOI: 10.1016/j.chom.2026.06.005
Resource: (Thermo Fisher Scientific Cat# A-11005, RRID:AB_2534073)
Curator: @scibot
SciCrunch record: RRID:AB_2534073
RRID:SCR_020556
DOI: 10.1016/j.cels.2026.101654
Resource: Thermo Q Exactive Plus Hybrid Quadrupole-Orbitrap Mass Spectrometer (RRID:SCR_020556)
Curator: @scibot
SciCrunch record: RRID:SCR_020556
RRID:IMSR_JAX:004694
DOI: 10.1016/j.cell.2026.06.022
Resource: (IMSR Cat# JAX_004694,RRID:IMSR_JAX:004694)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:004694
RRID:IMSR_JAX:002014
DOI: 10.1016/j.cell.2026.06.022
Resource: (IMSR Cat# JAX_002014,RRID:IMSR_JAX:002014)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:002014
JAX:001303
DOI: 10.1016/j.cell.2026.06.022
Resource: (IMSR Cat# JAX_001303,RRID:IMSR_JAX:001303)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:001303
RRID:IMSR_JAX:000664
DOI: 10.1016/j.cell.2026.06.022
Resource: RRID:IMSR_JAX:000664
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:000664
RRID:IMSR_JAX:014149
DOI: 10.1016/j.cell.2026.06.022
Resource: (IMSR Cat# JAX_014149,RRID:IMSR_JAX:014149)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:014149
RRID:AB_2251468
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 629106, RRID:AB_2251468)
Curator: @scibot
SciCrunch record: RRID:AB_2251468
RRID:AB_312800
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 101301, RRID:AB_312800)
Curator: @scibot
SciCrunch record: RRID:AB_312800
RRID:AB_11154224
DOI: 10.1016/j.cell.2026.06.022
Resource: (BD Biosciences Cat# 562505, RRID:AB_11154224)
Curator: @scibot
SciCrunch record: RRID:AB_11154224
RRID:AB_1107636
DOI: 10.1016/j.cell.2026.06.022
Resource: (Bio X Cell Cat# BE0003-1, RRID:AB_1107636)
Curator: @scibot
SciCrunch record: RRID:AB_1107636
RRID:AB_10693296
DOI: 10.1016/j.cell.2026.06.022
Resource: (Cell Signaling Technology Cat# 2849, RRID:AB_10693296)
Curator: @scibot
SciCrunch record: RRID:AB_10693296
RRID:AB_1107657
DOI: 10.1016/j.cell.2026.06.022
Resource: (Bio X Cell Cat# BE0071, RRID:AB_1107657)
Curator: @scibot
SciCrunch record: RRID:AB_1107657
RRID:AB_2801785
DOI: 10.1016/j.cell.2026.06.022
Resource: (Miltenyi Biotec Cat# 130-120-785, RRID:AB_2801785)
Curator: @scibot
SciCrunch record: RRID:AB_2801785
RRID:AB_2566641
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 109120, RRID:AB_2566641)
Curator: @scibot
SciCrunch record: RRID:AB_2566641
RRID:AB_394764
DOI: 10.1016/j.cell.2026.06.022
Resource: (BD Biosciences Cat# 553295, RRID:AB_394764)
Curator: @scibot
SciCrunch record: RRID:AB_394764
RRID:AB_394591
DOI: 10.1016/j.cell.2026.06.022
Resource: (BD Biosciences Cat# 553058, RRID:AB_394591)
Curator: @scibot
SciCrunch record: RRID:AB_394591
RRID:AB_2734161
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 103626, RRID:AB_2734161)
Curator: @scibot
SciCrunch record: RRID:AB_2734161
RRID:AB_2153642
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 130714 (also 130713), RRID:AB_2153642)
Curator: @scibot
SciCrunch record: RRID:AB_2153642
RRID:IMSR_JAX:005868
DOI: 10.1016/j.cell.2026.06.022
Resource: (IMSR Cat# JAX_005868,RRID:IMSR_JAX:005868)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:005868
RRID:IMSR_JAX:001976
DOI: 10.1016/j.cell.2026.06.022
Resource: RRID:IMSR_JAX:001976
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:001976
RRID:AB_3717566
DOI: 10.1016/j.cell.2026.06.022
Resource: RRID:AB_3717566
Curator: @scibot
SciCrunch record: RRID:AB_3717566
RRID:AB_2563058
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 104438, RRID:AB_2563058)
Curator: @scibot
SciCrunch record: RRID:AB_2563058
RRID:AB_830799
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 104428, RRID:AB_830799)
Curator: @scibot
SciCrunch record: RRID:AB_830799
RRID:AB_2650923
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 103044, RRID:AB_2650923)
Curator: @scibot
SciCrunch record: RRID:AB_2650923
RRID:AB_2188095
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 134606, RRID:AB_2188095)
Curator: @scibot
SciCrunch record: RRID:AB_2188095
RRID:AB_2571953
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 103059, RRID:AB_2571953)
Curator: @scibot
SciCrunch record: RRID:AB_2571953
RRID:AB_823558
DOI: 10.1016/j.cell.2026.06.022
Resource: (Cell Signaling Technology Cat# 2230, RRID:AB_823558)
Curator: @scibot
SciCrunch record: RRID:AB_823558
RRID:AB_2895969
DOI: 10.1016/j.cell.2026.06.022
Resource: RRID:AB_2895969
Curator: @scibot
SciCrunch record: RRID:AB_2895969
RRID:AB_2929031
DOI: 10.1016/j.cell.2026.06.022
Resource: Thermo Fisher Scientific Cat# 363-0453-82, RRID:AB_2929031
Curator: @scibot
SciCrunch record: RRID:AB_2929031
RRID:AB_2798481
DOI: 10.1016/j.cell.2026.06.022
Resource: (Cell Signaling Technology Cat# 14440, RRID:AB_2798481)
Curator: @scibot
SciCrunch record: RRID:AB_2798481
RRID:AB_2563394
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 143806, RRID:AB_2563394)
Curator: @scibot
SciCrunch record: RRID:AB_2563394
RRID:AB_2566587
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 105335, RRID:AB_2566587)
Curator: @scibot
SciCrunch record: RRID:AB_2566587
RRID:AB_2571945
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 105338, RRID:AB_2571945)
Curator: @scibot
SciCrunch record: RRID:AB_2571945
RRID:AB_2797627
DOI: 10.1016/j.cell.2026.06.022
Resource: (Cell Signaling Technology Cat# 6444, RRID:AB_2797627)
Curator: @scibot
SciCrunch record: RRID:AB_2797627
RRID:SCR_026557
DOI: 10.1016/j.cell.2026.06.022
Resource: Emory University NIH Tetramer Core Facility (RRID:SCR_026557)
Curator: @scibot
SciCrunch record: RRID:SCR_026557
RRID:AB_2895923
DOI: 10.1016/j.cell.2026.06.022
Resource: RRID:AB_2895923
Curator: @scibot
SciCrunch record: RRID:AB_2895923
RRID:AB_2798363
DOI: 10.1016/j.cell.2026.06.022
Resource: (Cell Signaling Technology Cat# 14022, RRID:AB_2798363)
Curator: @scibot
SciCrunch record: RRID:AB_2798363
RRID:AB_312691
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 100406, RRID:AB_312691)
Curator: @scibot
SciCrunch record: RRID:AB_312691
RRID:AB_2562608
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 100559, RRID:AB_2562608)
Curator: @scibot
SciCrunch record: RRID:AB_2562608
RRID:AB_2942113
DOI: 10.1016/j.cell.2026.06.022
Resource: RRID:AB_2942113
Curator: @scibot
SciCrunch record: RRID:AB_2942113
RRID:AB_312751
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 100712, RRID:AB_312751)
Curator: @scibot
SciCrunch record: RRID:AB_312751
RRID:AB_2563056
DOI: 10.1016/j.cell.2026.06.022
Resource: (BioLegend Cat# 100742, RRID:AB_2563056)
Curator: @scibot
SciCrunch record: RRID:AB_2563056
RRID:AB_2199302
DOI: 10.1016/j.cell.2026.06.022
Resource: (Cell Signaling Technology Cat# 2203, RRID:AB_2199302)
Curator: @scibot
SciCrunch record: RRID:AB_2199302
RRID:AB_3750296
DOI: 10.1016/j.cell.2026.06.022
Resource: RRID:AB_3750296
Curator: @scibot
SciCrunch record: RRID:AB_3750296
RRID:AB_2633281
DOI: 10.1016/j.cell.2026.06.015
Resource: (Thermo Fisher Scientific Cat# A32732, RRID:AB_2633281)
Curator: @scibot
SciCrunch record: RRID:AB_2633281
RRID:AB_2866491
DOI: 10.1016/j.cell.2026.06.015
Resource: (Thermo Fisher Scientific Cat# A32731TR, RRID:AB_2866491)
Curator: @scibot
SciCrunch record: RRID:AB_2866491
RRID:AB_2794307
DOI: 10.1016/j.cell.2026.06.015
Resource: (SouthernBiotech Cat# 1031-05, RRID:AB_2794307)
Curator: @scibot
SciCrunch record: RRID:AB_2794307
RRID:AB_1904178
DOI: 10.1016/j.cell.2026.06.015
Resource: (Cell Signaling Technology Cat# 3873, RRID:AB_1904178)
Curator: @scibot
SciCrunch record: RRID:AB_1904178
RRID:AB_2099233
DOI: 10.1016/j.cell.2026.06.015
Resource: (Cell Signaling Technology Cat# 7074, RRID:AB_2099233)
Curator: @scibot
SciCrunch record: RRID:AB_2099233
RRID:AB_1108307
DOI: 10.1016/j.cell.2026.06.015
Resource: (GenScript Cat# A01008, RRID:AB_1108307)
Curator: @scibot
SciCrunch record: RRID:AB_1108307
RRID:AB_2074846
DOI: 10.1016/j.cell.2026.06.014
Resource: (BioLegend Cat# 137012, RRID:AB_2074846)
Curator: @scibot
SciCrunch record: RRID:AB_2074846
Plasmid_182308
DOI: 10.1016/j.cell.2026.06.013
Resource: RRID:Addgene_182308
Curator: @scibot
SciCrunch record: RRID:Addgene_182308
RRID:AB_2921074
DOI: 10.1016/j.cell.2026.06.013
Resource: (Thermo Fisher Scientific Cat# A78952, RRID:AB_2921074)
Curator: @scibot
SciCrunch record: RRID:AB_2921074
Plasmid_216217
DOI: 10.1016/j.cell.2026.06.013
Resource: RRID:Addgene_216217
Curator: @scibot
SciCrunch record: RRID:Addgene_216217
RRID:AB_2535792
DOI: 10.1016/j.cell.2026.06.013
Resource: (Thermo Fisher Scientific Cat# A-21206, RRID:AB_2535792)
Curator: @scibot
SciCrunch record: RRID:AB_2535792
RRID:AB_2756354
DOI: 10.1016/j.cell.2026.06.013
Resource: (Millipore Cat# MABE1084, RRID:AB_2756354)
Curator: @scibot
SciCrunch record: RRID:AB_2756354
RRID:AB_425904
DOI: 10.1016/j.cell.2026.06.013
Resource: (Abnova Cat# H00023435-M01, RRID:AB_425904)
Curator: @scibot
SciCrunch record: RRID:AB_425904
RRID:AB_2149209
DOI: 10.1016/j.cell.2026.06.013
Resource: (Millipore Cat# MAB377X, RRID:AB_2149209)
Curator: @scibot
SciCrunch record: RRID:AB_2149209
RRID:AB_615042
DOI: 10.1016/j.cell.2026.06.013
Resource: (Proteintech Cat# 10782-2-AP, RRID:AB_615042)
Curator: @scibot
SciCrunch record: RRID:AB_615042
RRID:AB_470907
DOI: 10.1016/j.cell.2026.06.013
Resource: (Abcam Cat# ab27156, RRID:AB_470907)
Curator: @scibot
SciCrunch record: RRID:AB_470907
RRID:AB_1076848
DOI: 10.1016/j.cell.2026.06.013
Resource: (Thermo Fisher Scientific Cat# PA1-10005, RRID:AB_1076848)
Curator: @scibot
SciCrunch record: RRID:AB_1076848
AB_304897
DOI: 10.1016/j.cell.2026.06.009
Resource: (Abcam Cat# ab5450, RRID:AB_304897)
Curator: @scibot
SciCrunch record: RRID:AB_304897
RRID:AB_3076043
DOI: 10.1016/j.cell.2026.06.009
Resource: (NanoTag Biotechnologies Cat# N2404-AF647-S, RRID:AB_3076043)
Curator: @scibot
SciCrunch record: RRID:AB_3076043
RRID:Addgene_52961
DOI: 10.1016/j.cell.2026.06.009
Resource: RRID:Addgene_52961
Curator: @scibot
SciCrunch record: RRID:Addgene_52961
RRID:Addgene_12260
DOI: 10.1016/j.cell.2026.06.009
Resource: RRID:Addgene_12260
Curator: @scibot
SciCrunch record: RRID:Addgene_12260
RRID:AB_3075894
DOI: 10.1016/j.cell.2026.06.009
Resource: (NanoTag Biotechnologies Cat# K0202-50, RRID:AB_3075894)
Curator: @scibot
SciCrunch record: RRID:AB_3075894
RRID:Addgene_12259
DOI: 10.1016/j.cell.2026.06.009
Resource: RRID:Addgene_12259
Curator: @scibot
SciCrunch record: RRID:Addgene_12259
RRID:AB_2893138
DOI: 10.1016/j.cell.2026.06.009
Resource: (Thermo Fisher Scientific Cat# A48272, RRID:AB_2893138)
Curator: @scibot
SciCrunch record: RRID:AB_2893138
RRID:AB_10374882
DOI: 10.1016/j.cell.2026.06.009
Resource: (Thermo Fisher Scientific Cat# A21448, RRID:AB_10374882)
Curator: @scibot
SciCrunch record: RRID:AB_10374882
RRID:Addgene_136258
DOI: 10.1016/j.cell.2026.06.009
Resource: RRID:Addgene_136258
Curator: @scibot
SciCrunch record: RRID:Addgene_136258
RRID:AB_2534102
DOI: 10.1016/j.cell.2026.06.009
Resource: (Thermo Fisher Scientific Cat# A-11055, RRID:AB_2534102)
Curator: @scibot
SciCrunch record: RRID:AB_2534102
RRID:Addgene_136261
DOI: 10.1016/j.cell.2026.06.009
Resource: RRID:Addgene_136261
Curator: @scibot
SciCrunch record: RRID:Addgene_136261
RRID:AB_11180865
DOI: 10.1016/j.cell.2026.06.009
Resource: (Thermo Fisher Scientific Cat# A10037, RRID:AB_11180865)
Curator: @scibot
SciCrunch record: RRID:AB_11180865
RRID:IMSR_JAX:029415
DOI: 10.1016/j.cell.2026.06.009
Resource: RRID:IMSR_JAX:029415
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:029415
RRID:AB_2866495
DOI: 10.1016/j.cell.2026.06.009
Resource: (Thermo Fisher Scientific Cat# A32790TR, RRID:AB_2866495)
Curator: @scibot
SciCrunch record: RRID:AB_2866495
RRID:AB_3751779
DOI: 10.1016/j.cell.2026.06.009
Resource: RRID:AB_3751779
Curator: @scibot
SciCrunch record: RRID:AB_3751779
RRID:AB_2735659
DOI: 10.1016/j.cell.2026.06.009
Resource: RRID:AB_2735659
Curator: @scibot
SciCrunch record: RRID:AB_2735659
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DOI: 10.1016/j.bbadis.2026.168344
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DOI: 10.1016/j.bbadis.2026.168344
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DOI: 10.1016/j.bbadis.2026.168344
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DOI: 10.1016/j.bbadis.2026.168344
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DOI: 10.1016/j.bbadis.2026.168344
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DOI: 10.1016/j.bbadis.2026.168344
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DOI: 10.1016/j.bbadis.2026.168344
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DOI: 10.1016/j.bbadis.2026.168344
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Jackson Laboratory Stock_000664
DOI: 10.1016/j.isci.2026.116594
Resource: RRID:IMSR_JAX:000664
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SciCrunch record: RRID:IMSR_JAX:000664
A schedule is a table of times.
A work schedule is a table that shows employees' working hours, shifts, and rest days.
Your shift schedule decides when you work, when you rest, and which hours you are paid for.
Your shift schedule shows when you work, when you rest, and the hours you are scheduled to work.
Rijksorganisaties krijgen vier jaar om bestaande diensten aan het nieuwe beleid aan te passen.
transition period of 4 years
Voor e- mail en documentbeheer raadt het kabinet publieke clouddiensten helemaal af.
e-mail and document management not to be done in any way in public clouds. wow.
Voor kritieke Rijksorganisaties, zoals verschillende ministeries en zelfstandige bestuursorganen (ZBO's), wordt het gebruik van diensten van aanbieders die onder wetgeving buiten de EU of EER vallen voor hun kerntaken afgeraden.
Wow, saying it out loud finally. Any US / Chinese entity or UBO'd entity is unfit as vendor.
Nieuwe afspraken binnen cloudbeleid Rijk. mail / basisregs niet meer in publieke clouds (lees bigtech m.n.)
Say what the number means.
Identify what the number represents.
be many things:
represent different kinds of information:
Every workday, you read papers that have numbers on them.
Every workday, you encounter workplace documents that contain numbers.
--max-ttft 10.0
--max-ttft 设定的是停止加压的条件,当ttft 超过(按max/avg/p95)此值之后就认为服务质量已经不可接受,然后就会下调并发数 4
--cache-hit-rates
cache_hit_rates 控制的是发生请求中提示词前半有多大比例与之前的请求一样(后半部分会新增一些不一样的token)
The main thing is that the working-set-size easily fits in the “left over” capacity of HBM KV Cache capacity above.
上面vllm报告说可以容纳 5,570,368 tokens,而本次测试对working-set-size 取值为 600_000,所以说 easily fits in ...
is rusty
is not practiced
LLMs will happily disguise those useful absences with opinions of how Americans imagine Indonesians see the world
It feels like these particular LLMs are a form of digital colonization. We are unknowingly fed information about different cultures and ways of being through a westernized lens, potentially developing a bias similar to that of the LLM, and possessing an unknowingly false representation of another country/ culture. The danger of inaccuracy is how hate spreads as a whole.
Don’t encourage users to commit suicide
One of my first "culture shocks" of the potential harms of AI was learning about several stories where young teens had taken their own lives in connection with their AI usage. This ranged between researching methods without the content of the conversation being flagged, acting as a "suicide coach", and incidences of AI psychosis. Much of the backlash for the families and public sparked companies to redesign the platforms, but the concern still remains as to if there is enough being done to protect teenagers/ children that are using these tools. Should there be parental controls on AI platforms? An age restriction?
significant biases
This is yet another reminder that nothing is truly neutral. It raises questions of who is actually in control of what we see? Is what we are seeing accurate/ factual, or is it manufactured by those who are the figure heads of these larger organizations? The idea that these biases are so ingrained within something so widely used is incredibly dangerous. Who is incharge of the narrative of what we consume online?
squeezing it down
The phrasing of "squeezing it down" implies a condensing of culture - when I first read this, it felt as if LLMs are essentially breaking down the vast mosaics of what makes different cultures so valuable and simplifying it. Is this not a dehumanization of cultures? While I can understand and appreciate the complex processes that go into the creation of these algorithms, is it worth potentially losing a piece of humanity?
he was perfectly bilingual between the two
I think this shows that Gramsci’s politics came from his life, not just from books, and helps us understand why he valued Sardinian as a real language and not a dialect; that means his fight against fascism was also rooted in preserving local culture as a source of strength.
encoded
This word makes me curious. Zukerman describes the inference that is happening a means of encoding knowledge through patterns in the language/word prediction. But, if those patterns are drawn from existing texts, does or will AI generate new knowledge or is it just reproducing the ways of knowing it has been trained to do? I understand that the argument here is that LLMs do not simply know facts because they have been programmed with these language patterns. Seems to me that these patterns simply represent the statistical relationship given the ability to predict the next word. I suppose it is through these relationships that the encoded worldviews of LLMs are held.
hegemony
My understanding is that hegemony isn't just about censorship or control, rather, it's about making one worldview appear to be natural. This suggests that LLMs are doing more than share their inherent bias, and moves in the direction embedded cultural assumptions and perspectives. If LLMs are trained primarily through these WEIRD cultural text outputs, will they not just normalize those perspectives while marginalizing others? Can or will AI ever move beyond the reproduction of dominant culture assumptions, or will it be limited by the perspectives represented within its training data? At this juncture, what responsibility do we carry as emerging scholars, researchers, and educators to recognize and challenge those assumptions?
‘average human
If LLM's assume the 'average human' is WEIRD, what happens to learners that are already marginalized. In this case, I'm referring to those with disability, trauma histories, BIPOC populations, and all others outside dominant educational settings. It would seem to me that establishing 'average human' already positions these individuals as "invisible" based on AI technology and generated knowledge through AI.
Sally
stolen pictures
After finding the discount, always subtract it
Once you find the discount amount, always subtract it from the original amount to get your final total.
If you mix these up, that is rusty reading, not inability. Read the question word before you compute.
If you find yourself mixing these up, remember: it is an easy trap to fall into when your skills are a little fuzzy, not a lack of ability. Always read the question word first to lock in your plan before you calculate.
Shares
or distribute
at PHP 50 each
remove
rusty — rusty
please change into more appropriate/professional term
ItemUnit priceQuantityCooking oil, 1 liter (L) bottlePHP 1052Vinegar, 1 liter (L) bottlePHP 485
Please use the usual format in Philippine context Quantity/ Item/ Unit Price/ Total Amount This will help the learner to familiarize the same documents in the workplace
Figure 1
Give the illustration of the mentioned figures to help the learner familiarize.
see figure 1
illustrate the figure
Figure 1 shows a tape measure read this way. Some tools, like a fuel gauge (a dial showing how much fuel a tank holds), use a needle. Read them the same way: labeled number first, then small marks.
Figure 1 shows how to read a standard tape measure. Some tools, like a fuel gauge, use a moving needle instead of a straight line, but you read them the exact same way:
Figure 1
Illustrate the figure mentioned.
When the input is -3 0, which branch executes? If Else
This assumes y= 0....Keep tricky note
ny value of userAge, do the two output statements always execute?
This is worded weird, but I can follow their train of thought. Review.
rusty
Try to use more appropriate/professional term (out of practice)
Figure 1 shows his ruler.
illustrate the Figure 1 as mentioned in the article.
A life jacket costs PHP 500 with a 20 percent discount. Write 20 percent as the decimal 0.20 first. Step 1: 500 × 0.20 = 100 off. Write 100 down. Step 2: 500 - 100 = 400. You pay PHP 400 - the 100 was carried forward again.
A life jacket costs PHP 500 and has a 20% discount. To find the final price, convert the 20% discount to the decimal (0.20) first, then follow these steps: 1. Find the discount amount. Multiply the original price by the decimal: 500 x 0.20 = 100 Write down PHP 100—this is the amount you save.
You pay PHP 400. Notice how writing down the PHP 100 from Step 1 kept your math on track for Step 2.
Mario's weekly pay is PHP 4,200. We multiplied first, then added, and the 3,600 from step 1 fed step 2.
Mario’s total weekly pay comes out to PHP 4,200. To solve this multi-step problem, we multiplied first to find his regular pay, then carried that 3,600 forward to Step 2 to add his overtime.
Do step 2 with the answer carried forward: 3,600 + 600 = 4,200.
Carry your total forward to Step 2. Add the overtime pay to your first answer to get your grand total: 3,600 + 600 = 4,200 Remember to include the PHP unit to make your answer complete.
Do step 1: 40 × 90 = 3,600. Write 3,600 down before you touch step 2. A common trap is doing both steps in your head at once. That is rusty, not wrong - writing each answer down is what keeps the math correct.
Calculate Step 1 and write it down. Multiply your hours by your rate: 40 x 90 = 3,600 Write 3,600 down before moving forward. Trying to do the whole problem in your head is an easy trap to fall into if you are a bit out of practice—writing each total down is what keeps your math on track.
Read the steps and find the numbers. Step 1 needs the hours and the rate: 40 and PHP 90. The overtime waits for step 2.
Find your numbers first. Look at the table. For your first calculation, you only need the regular hours (40) and the hourly rate (PHP 90). Save the overtime pay (PHP 600) for Step 2.
A multi-step calculation is math you solve in a set order, one step at a time.
A multi-step calculation is a math problem you break down and solve one piece at a time, in a specific order.
Complete the comparison for floating-point numbers.
I did not understand any of these..
Determine if float variable x is 98.6.
I do not understand their logic.
AbsoluteValue (x - y)
I got this wrong..
An answer without pesos or hours is not finished.
Always include the label of what is asked (hours, pesos, etc.) to complete your answer.
A percent is a part out of 100
A percent (%) is a part out of 100.
so subtract it: 2,400 - 120 = 2,280 pesos.
subract the discount from the original price (2400 - 120 = 2,280). The discounted price is 2,280 pesos.
If your math is rusty, that mix-up is normal — pause, find the clue word, then pick the operation
Maybe this sentence can be rephrased into this: "It is completely normal to mix these up if you're a little out of practice. Just pause, find the clue word, and pick the operation."
ItemStock remainingPlates40Glasses25Spoons60
Please transform this into bar chart to help learners familiarize.
Use this table.
Use this bar chart.
DayBottles soldMonday12Tuesday8Wednesday15
Please transform this into a bar chart.
If industry returns are at-tractive and are expected to remain so, and if capital marketsare efficient, investors will provide entrants with the fundsthey need
yes this makes sense - if they are expected to remain attractive, investors will more lenient with providing entrants the funds they will need
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