RRID:AB_399648
DOI: 10.1016/j.molcel.2019.04.021
Resource: (BD Biosciences Cat# 612359, RRID:AB_399648)
Curator: @scibot
SciCrunch record: RRID:AB_399648
RRID:AB_399648
DOI: 10.1016/j.molcel.2019.04.021
Resource: (BD Biosciences Cat# 612359, RRID:AB_399648)
Curator: @scibot
SciCrunch record: RRID:AB_399648
RRID:AB_2224726
DOI: 10.1016/j.molcel.2019.04.021
Resource: (Cell Signaling Technology Cat# 5012, RRID:AB_2224726)
Curator: @scibot
SciCrunch record: RRID:AB_2224726
RRID:AB_399858
DOI: 10.1016/j.molcel.2019.04.021
Resource: (BD Biosciences Cat# 612567, RRID:AB_399858)
Curator: @scibot
SciCrunch record: RRID:AB_399858
RRID:AB_647204
DOI: 10.1016/j.molcel.2019.04.021
Resource: (BD Biosciences Cat# 558436, RRID:AB_647204)
Curator: @scibot
SciCrunch record: RRID:AB_647204
RRID:AB_490903
DOI: 10.1016/j.molcel.2019.04.021
Resource: (Cell Signaling Technology Cat# 2338, RRID:AB_490903)
Curator: @scibot
SciCrunch record: RRID:AB_490903
RRID:AB_2173659
DOI: 10.1016/j.molcel.2019.04.021
Resource: (Cell Signaling Technology Cat# 3283, RRID:AB_2173659)
Curator: @scibot
SciCrunch record: RRID:AB_2173659
RRID:AB_2572916
DOI: 10.1016/j.molcel.2019.04.021
Resource: (Thermo Fisher Scientific Cat# 14-9034-82, RRID:AB_2572916)
Curator: @scibot
SciCrunch record: RRID:AB_2572916
RRID:CVCL_2088
DOI: 10.1016/j.lfs.2026.124682
Resource: (DSMZ Cat# ACC-158, RRID:CVCL_2088)
Curator: @scibot
SciCrunch record: RRID:CVCL_2088
RRID:CVCL_5997
DOI: 10.1016/j.lfs.2026.124682
Resource: RRID:CVCL_5997
Curator: @scibot
SciCrunch record: RRID:CVCL_5997
RRID:SCR_018455
DOI: 10.1016/j.isci.2026.117278
Resource: MultiClamp 700B Microelectrode Amplifier (RRID:SCR_018455)
Curator: @scibot
SciCrunch record: RRID:SCR_018455
RRID:SCR_011323
DOI: 10.1016/j.isci.2026.117278
Resource: pClamp (RRID:SCR_011323)
Curator: @scibot
SciCrunch record: RRID:SCR_011323
RRID:SCR_015654
DOI: 10.1016/j.isci.2026.117278
Resource: R package: lme4 (RRID:SCR_015654)
Curator: @scibot
SciCrunch record: RRID:SCR_015654
RRID:SCR_002798
DOI: 10.1016/j.isci.2026.117278
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
RRID:MMRRC_000230-UNC
DOI: 10.1016/j.isci.2026.117278
Resource: (MMRRC Cat# 000230-UNC,RRID:MMRRC_000230-UNC)
Curator: @scibot
SciCrunch record: RRID:MMRRC_000230-UNC
RRID:SCR_027433
DOI: 10.1016/j.isci.2026.117278
Resource: RRID:SCR_027433
Curator: @scibot
SciCrunch record: RRID:SCR_027433
RRID:IMSR_JAX:016204
DOI: 10.1016/j.isci.2026.117278
Resource: (IMSR Cat# JAX_016204,RRID:IMSR_JAX:016204)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:016204
RRID:Addgene_104491
DOI: 10.1016/j.isci.2026.117278
Resource: RRID:Addgene_104491
Curator: @scibot
SciCrunch record: RRID:Addgene_104491
RRID:SCR_016050
DOI: 10.1016/j.isci.2026.117278
Resource: Stimfit (RRID:SCR_016050)
Curator: @scibot
SciCrunch record: RRID:SCR_016050
RRID:Addgene_26976
DOI: 10.1016/j.isci.2026.117278
Resource: RRID:Addgene_26976
Curator: @scibot
SciCrunch record: RRID:Addgene_26976
RRID:SCR_015656
DOI: 10.1016/j.isci.2026.117278
Resource: R package: lmerTest (RRID:SCR_015656)
Curator: @scibot
SciCrunch record: RRID:SCR_015656
RRID:SCR_018734
DOI: 10.1016/j.isci.2026.117278
Resource: emmeans (RRID:SCR_018734)
Curator: @scibot
SciCrunch record: RRID:SCR_018734
RRID:AB_2209751
DOI: 10.1016/j.isci.2026.117278
Resource: (Rockland Cat# 600-401-379, RRID:AB_2209751)
Curator: @scibot
SciCrunch record: RRID:AB_2209751
RRID:AB_143157
DOI: 10.1016/j.isci.2026.117278
Resource: (Molecular Probes Cat# A-11011, RRID:AB_143157)
Curator: @scibot
SciCrunch record: RRID:AB_143157
RRID:AB_2534069
DOI: 10.1016/j.isci.2026.117278
Resource: (Thermo Fisher Scientific Cat# A-11001, RRID:AB_2534069)
Curator: @scibot
SciCrunch record: RRID:AB_2534069
Jackson Laboratory Stock_016204
DOI: 10.1016/j.isci.2026.117278
Resource: RRID:IMSR_JAX:016204
Curator: @AleksanderDrozdz
SciCrunch record: RRID:IMSR_JAX:016204
AB_330248
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 3671, RRID:AB_330248)
Curator: @scibot
SciCrunch record: RRID:AB_330248
AB_2534079
DOI: 10.1016/j.isci.2026.115716
Resource: (Thermo Fisher Scientific Cat# A-11012, RRID:AB_2534079)
Curator: @scibot
SciCrunch record: RRID:AB_2534079
AB_2249358
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 3629, RRID:AB_2249358)
Curator: @scibot
SciCrunch record: RRID:AB_2249358
AB_561053
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 2118, RRID:AB_561053)
Curator: @scibot
SciCrunch record: RRID:AB_561053
AB_2798136
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 13166, RRID:AB_2798136)
Curator: @scibot
SciCrunch record: RRID:AB_2798136
AB_2800199
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 93065, RRID:AB_2800199)
Curator: @scibot
SciCrunch record: RRID:AB_2800199
AB_2534069
DOI: 10.1016/j.isci.2026.115716
Resource: (Thermo Fisher Scientific Cat# A-11001, RRID:AB_2534069)
Curator: @scibot
SciCrunch record: RRID:AB_2534069
AB_10839118
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 2500, RRID:AB_10839118)
Curator: @scibot
SciCrunch record: RRID:AB_10839118
AB_10013641
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 6943, RRID:AB_10013641)
Curator: @scibot
SciCrunch record: RRID:AB_10013641
AB_2174466
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 2541, RRID:AB_2174466)
Curator: @scibot
SciCrunch record: RRID:AB_2174466
AB_2160882
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 3528, RRID:AB_2160882)
Curator: @scibot
SciCrunch record: RRID:AB_2160882
AB_477629
DOI: 10.1016/j.isci.2026.115716
Resource: (Sigma-Aldrich Cat# V9131, RRID:AB_477629)
Curator: @scibot
SciCrunch record: RRID:AB_477629
AB_2291558
DOI: 10.1016/j.isci.2026.115716
Resource: RRID:AB_2291558
Curator: @scibot
SciCrunch record: RRID:AB_2291558
AB_2128060
DOI: 10.1016/j.isci.2026.115716
Resource: (BD Biosciences Cat# 610467, RRID:AB_2128060)
Curator: @scibot
SciCrunch record: RRID:AB_2128060
AB_10891442
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 8556, RRID:AB_10891442)
Curator: @scibot
SciCrunch record: RRID:AB_10891442
RRID:AB_2307391
DOI: 10.1016/j.isci.2026.115716
Resource: (Jackson ImmunoResearch Labs Cat# 111-035-144, RRID:AB_2307391)
Curator: @scibot
SciCrunch record: RRID:AB_2307391
AB_10694415
DOI: 10.1016/j.isci.2026.115716
Resource: (Cell Signaling Technology Cat# 4848, RRID:AB_10694415)
Curator: @scibot
SciCrunch record: RRID:AB_10694415
RRID:AB_2338505
DOI: 10.1016/j.isci.2026.115716
Resource: (Jackson ImmunoResearch Labs Cat# 115-035-068, RRID:AB_2338505)
Curator: @scibot
SciCrunch record: RRID:AB_2338505
AB_3698765
DOI: 10.1016/j.isci.2026.115716
Resource: RRID:AB_3698765
Curator: @scibot
SciCrunch record: RRID:AB_3698765
AB_476749
DOI: 10.1016/j.isci.2026.115716
Resource: (Sigma-Aldrich Cat# A5979, RRID:AB_476749)
Curator: @scibot
SciCrunch record: RRID:AB_476749
RRID:CVCL_0031
DOI: 10.1016/j.ijbiomac.2026.154379
Resource: (NCI-DTP Cat# MCF7, RRID:CVCL_0031)
Curator: @scibot
SciCrunch record: RRID:CVCL_0031
RRID:SCR_010881
DOI: 10.1016/j.cub.2026.08.048
Resource: HOMER (RRID:SCR_010881)
Curator: @scibot
SciCrunch record: RRID:SCR_010881
RRID:SCR_004870
DOI: 10.1016/j.cub.2026.08.048
Resource: NCBI BLAST (RRID:SCR_004870)
Curator: @scibot
SciCrunch record: RRID:SCR_004870
RRID:SCR_015501
DOI: 10.1016/j.cub.2026.08.048
Resource: FastTree (RRID:SCR_015501)
Curator: @scibot
SciCrunch record: RRID:SCR_015501
RRID:SCR_003030
DOI: 10.1016/j.cub.2026.08.048
Resource: JASPAR (RRID:SCR_003030)
Curator: @scibot
SciCrunch record: RRID:SCR_003030
RRID:SCR_011811
DOI: 10.1016/j.cub.2026.08.048
Resource: MAFFT (RRID:SCR_011811)
Curator: @scibot
SciCrunch record: RRID:SCR_011811
RRID:SCR_012865
DOI: 10.1016/j.cub.2026.08.048
Resource: BEDOPS (RRID:SCR_012865)
Curator: @scibot
SciCrunch record: RRID:SCR_012865
RRID:SCR_003362
DOI: 10.1016/j.cub.2026.08.048
Resource: PLANTTFDB (RRID:SCR_003362)
Curator: @scibot
SciCrunch record: RRID:SCR_003362
RRID:SCR_002105
DOI: 10.1016/j.cub.2026.08.048
Resource: Samtools (RRID:SCR_002105)
Curator: @scibot
SciCrunch record: RRID:SCR_002105
RRID:SCR_010943
DOI: 10.1016/j.cub.2026.08.048
Resource: LIMMA (RRID:SCR_010943)
Curator: @scibot
SciCrunch record: RRID:SCR_010943
RRID:SCR_016884
DOI: 10.1016/j.cub.2026.08.048
Resource: clusterProfiler (RRID:SCR_016884)
Curator: @scibot
SciCrunch record: RRID:SCR_016884
RRID:SCR_015687
DOI: 10.1016/j.cub.2026.08.048
Resource: DESeq2 (RRID:SCR_015687)
Curator: @scibot
SciCrunch record: RRID:SCR_015687
RRID:SCR_012836
DOI: 10.1016/j.cub.2026.08.048
Resource: sva package (RRID:SCR_012836)
Curator: @scibot
SciCrunch record: RRID:SCR_012836
RRID:SCR_017270
DOI: 10.1016/j.cub.2026.08.048
Resource: ComplexHeatmap (RRID:SCR_017270)
Curator: @scibot
SciCrunch record: RRID:SCR_017270
RRID:SCR_006646
DOI: 10.1016/j.cub.2026.08.048
Resource: BEDTools (RRID:SCR_006646)
Curator: @scibot
SciCrunch record: RRID:SCR_006646
RRID:SCR_013291
DOI: 10.1016/j.cub.2026.08.048
Resource: MACS (RRID:SCR_013291)
Curator: @scibot
SciCrunch record: RRID:SCR_013291
RRID:SCR_017036
DOI: 10.1016/j.cub.2026.08.048
Resource: Salmon (RRID:SCR_017036)
Curator: @scibot
SciCrunch record: RRID:SCR_017036
RRID:SCR_002798
DOI: 10.1016/j.cub.2026.08.048
Resource: GraphPad Prism (RRID:SCR_002798)
Curator: @scibot
SciCrunch record: RRID:SCR_002798
RRID:SCR_004463
DOI: 10.1016/j.cub.2026.08.048
Resource: rna-star (RRID:SCR_004463)
Curator: @scibot
SciCrunch record: RRID:SCR_004463
RRID:SCR_011847
DOI: 10.1016/j.cub.2026.08.048
Resource: Trim Galore (RRID:SCR_011847)
Curator: @scibot
SciCrunch record: RRID:SCR_011847
RRID:SCR_016368
DOI: 10.1016/j.cub.2026.08.048
Resource: Bowtie (RRID:SCR_005476)
Curator: @scibot
SciCrunch record: RRID:SCR_016368
RRID:SCR_001905
DOI: 10.1016/j.cub.2026.08.048
Resource: R Project for Statistical Computing (RRID:SCR_001905)
Curator: @scibot
SciCrunch record: RRID:SCR_001905
RRID:SCR_016752
DOI: 10.1016/j.cub.2026.08.048
Resource: tximport (RRID:SCR_016752)
Curator: @scibot
SciCrunch record: RRID:SCR_016752
RRID:Addgene_13349
DOI: 10.1016/j.cell.2026.08.033
Resource: RRID:Addgene_13349
Curator: @scibot
SciCrunch record: RRID:Addgene_13349
RRID:AB_514497
DOI: 10.1016/j.cell.2026.08.033
Resource: (Roche Cat# 11093274910, RRID:AB_514497)
Curator: @scibot
SciCrunch record: RRID:AB_514497
RRID:SCR_027820
DOI: 10.1016/j.cell.2026.08.033
Resource: RRID:SCR_027820
Curator: @scibot
SciCrunch record: RRID:SCR_027820
RRID:Addgene_13350
DOI: 10.1016/j.cell.2026.08.033
Resource: RRID:Addgene_13350
Curator: @scibot
SciCrunch record: RRID:Addgene_13350
AB_2769450
DOI: 10.1016/j.cell.2026.08.030
Resource: RRID:AB_2769450
Curator: @scibot
SciCrunch record: RRID:AB_2769450
RRID:IMSR_JAX:006187
DOI: 10.1016/j.cell.2026.08.030
Resource: (IMSR Cat# JAX_006187,RRID:IMSR_JAX:006187)
Curator: @scibot
SciCrunch record: RRID:IMSR_JAX:006187
AB_2756999
DOI: 10.1016/j.cell.2026.08.030
Resource: RRID:AB_2756999
Curator: @scibot
SciCrunch record: RRID:AB_2756999
RRID:CVCL_0023
DOI: 10.1016/j.cell.2026.08.030
Resource: (CCLV Cat# CCLV-RIE 1035, RRID:CVCL_0023)
Curator: @scibot
SciCrunch record: RRID:CVCL_0023
AB_2863614
DOI: 10.1016/j.cell.2026.08.030
Resource: RRID:AB_2863614
Curator: @scibot
SciCrunch record: RRID:AB_2863614
RRID:AB_2721465
DOI: 10.1016/j.cell.2026.08.030
Resource: (BioLegend Cat# 154404, RRID:AB_2721465)
Curator: @scibot
SciCrunch record: RRID:AB_2721465
RRID:AB_389364
DOI: 10.1016/j.cell.2026.08.030
Resource: (BioLegend Cat# 108714, RRID:AB_389364)
Curator: @scibot
SciCrunch record: RRID:AB_389364
RRID:AB_2687030
DOI: 10.1016/j.cell.2026.08.030
Resource: (BioLegend Cat# 372206, RRID:AB_2687030)
Curator: @scibot
SciCrunch record: RRID:AB_2687030
RRID:AB_10900241
DOI: 10.1016/j.cell.2026.08.030
Resource: (BioLegend Cat# 100437, RRID:AB_10900241)
Curator: @scibot
SciCrunch record: RRID:AB_10900241
RRID:AB_2650928
DOI: 10.1016/j.cell.2026.08.030
Resource: (BioLegend Cat# 505836, RRID:AB_2650928)
Curator: @scibot
SciCrunch record: RRID:AB_2650928
RRID:AB_893423
DOI: 10.1016/j.cell.2026.08.030
Resource: (BioLegend Cat# 100732, RRID:AB_893423)
Curator: @scibot
SciCrunch record: RRID:AB_893423
RRID:AB_11123912
DOI: 10.1016/j.cell.2026.08.030
Resource: (BioLegend Cat# 506329, RRID:AB_11123912)
Curator: @scibot
SciCrunch record: RRID:AB_11123912
RRID:AB_1107769
DOI: 10.1016/j.cell.2026.08.030
Resource: (Bio X Cell Cat# BE0089, RRID:AB_1107769)
Curator: @scibot
SciCrunch record: RRID:AB_1107769
RRID:AB_2783137
DOI: 10.1016/j.cell.2026.08.030
Resource: (BioLegend Cat# 156603, RRID:AB_2783137)
Curator: @scibot
SciCrunch record: RRID:AB_2783137
RRID:AB_10949053
DOI: 10.1016/j.cell.2026.08.030
Resource: (Bio X Cell Cat# BE0146, RRID:AB_10949053)
Curator: @scibot
SciCrunch record: RRID:AB_10949053
RRID:AB_2758156
DOI: 10.1016/j.cell.2026.08.030
Resource: RRID:AB_2758156
Curator: @scibot
SciCrunch record: RRID:AB_2758156
RRID:AB_3099509
DOI: 10.1016/j.cell.2026.08.030
Resource: (PTM BIO Cat# PTM-105RM, RRID:AB_3099509)
Curator: @scibot
SciCrunch record: RRID:AB_3099509
RRID:AB_10562134
DOI: 10.1016/j.cell.2026.08.030
Resource: (Abcam Cat# ab92547, RRID:AB_10562134)
Curator: @scibot
SciCrunch record: RRID:AB_10562134
RRID:AB_2757632
DOI: 10.1016/j.cell.2026.08.030
Resource: (ABclonal Cat# A10109, RRID:AB_2757632)
Curator: @scibot
SciCrunch record: RRID:AB_2757632
RRID:AB_3678643
DOI: 10.1016/j.cell.2026.08.030
Resource: RRID:AB_3678643
Curator: @scibot
SciCrunch record: RRID:AB_3678643
RRID:AB_312661
DOI: 10.1016/j.cell.2026.08.030
Resource: (BioLegend Cat# 100204, RRID:AB_312661)
Curator: @scibot
SciCrunch record: RRID:AB_312661
RRID:AB_2636980
DOI: 10.1016/j.cell.2026.08.030
Resource: (Cell Signaling Technology Cat# 12165, RRID:AB_2636980)
Curator: @scibot
SciCrunch record: RRID:AB_2636980
RRID:AB_2763720
DOI: 10.1016/j.cell.2026.08.030
Resource: RRID:AB_2763720
Curator: @scibot
SciCrunch record: RRID:AB_2763720
RRID:AB_2135972
DOI: 10.1016/j.cell.2026.08.030
Resource: (Proteintech Cat# 11577-1-AP, RRID:AB_2135972)
Curator: @scibot
SciCrunch record: RRID:AB_2135972
RRID:AB_10695870
DOI: 10.1016/j.cell.2026.08.030
Resource: (Cell Signaling Technology Cat# 2772, RRID:AB_10695870)
Curator: @scibot
SciCrunch record: RRID:AB_10695870
RRID:AB_2147294
DOI: 10.1016/j.cell.2026.08.030
Resource: (Proteintech Cat# 11128-1-AP, RRID:AB_2147294)
Curator: @scibot
SciCrunch record: RRID:AB_2147294
RRID:AB_2290287
DOI: 10.1016/j.cell.2026.08.030
Resource: (Cell Signaling Technology Cat# 3814, RRID:AB_2290287)
Curator: @scibot
SciCrunch record: RRID:AB_2290287
RRID:AB_2687663
DOI: 10.1016/j.cell.2026.08.030
Resource: (Cell Signaling Technology Cat# 42406, RRID:AB_2687663)
Curator: @scibot
SciCrunch record: RRID:AB_2687663
RRID:AB_2147297
DOI: 10.1016/j.cell.2026.08.030
Resource: (Cell Signaling Technology Cat# 3403, RRID:AB_2147297)
Curator: @scibot
SciCrunch record: RRID:AB_2147297
RRID:AB_2862512
DOI: 10.1016/j.cell.2026.08.030
Resource: RRID:AB_2862512
Curator: @scibot
SciCrunch record: RRID:AB_2862512
RRID:AB_3714886
DOI: 10.1016/j.cell.2026.08.030
Resource: RRID:AB_3714886
Curator: @scibot
SciCrunch record: RRID:AB_3714886
RRID:AB_2066887
DOI: 10.1016/j.cell.2026.08.030
Resource: (Cell Signaling Technology Cat# 3582, RRID:AB_2066887)
Curator: @scibot
SciCrunch record: RRID:AB_2066887
RRID:AB_469479
DOI: 10.1016/j.cell.2026.08.030
Resource: (Thermo Fisher Scientific Cat# 17-5941-82, RRID:AB_469479)
Curator: @scibot
SciCrunch record: RRID:AB_469479
RRID:AB_262044
DOI: 10.1016/j.cell.2026.08.030
Resource: (Sigma-Aldrich Cat# F1804, RRID:AB_262044)
Curator: @scibot
SciCrunch record: RRID:AB_262044
RRID:AB_465530
DOI: 10.1016/j.cell.2026.08.030
Resource: (Thermo Fisher Scientific Cat# 12-0081-82, RRID:AB_465530)
Curator: @scibot
SciCrunch record: RRID:AB_465530
RRID:AB_260092
DOI: 10.1016/j.cell.2026.08.030
Resource: (Sigma-Aldrich Cat# H9658, RRID:AB_260092)
Curator: @scibot
SciCrunch record: RRID:AB_260092
RRID:AB_2534409
DOI: 10.1016/j.cell.2026.08.030
Resource: (Thermo Fisher Scientific Cat# A15395, RRID:AB_2534409)
Curator: @scibot
SciCrunch record: RRID:AB_2534409
RRID:AB_477577
DOI: 10.1016/j.cell.2026.08.030
Resource: (Sigma-Aldrich Cat# T4026, RRID:AB_477577)
Curator: @scibot
SciCrunch record: RRID:AB_477577
RRID:AB_2272627
DOI: 10.1016/j.cell.2026.08.030
Resource: (Cell Signaling Technology Cat# 4866, RRID:AB_2272627)
Curator: @scibot
SciCrunch record: RRID:AB_2272627
RRID:AB_2153738
DOI: 10.1016/j.cell.2026.08.030
Resource: (Cell Signaling Technology Cat# 3960, RRID:AB_2153738)
Curator: @scibot
SciCrunch record: RRID:AB_2153738
RRID:AB_11004139
DOI: 10.1016/j.cell.2026.08.030
Resource: (Thermo Fisher Scientific Cat# MA5-11869, RRID:AB_11004139)
Curator: @scibot
SciCrunch record: RRID:AB_11004139
RRID:CVCL_ZD33
DOI: 10.1016/j.canlet.2026.218840
Resource: (RRID:CVCL_ZD33)
Curator: @scibot
SciCrunch record: RRID:CVCL_ZD33
RRID:CVCL_1107
DOI: 10.1016/j.canlet.2026.218840
Resource: (BCRJ Cat# 0326, RRID:CVCL_1107)
Curator: @scibot
SciCrunch record: RRID:CVCL_1107
Addgene_12260
DOI: 10.1016/j.canlet.2026.218840
Resource: RRID:Addgene_12260
Curator: @scibot
SciCrunch record: RRID:Addgene_12260
Addgene_52961
DOI: 10.1016/j.canlet.2026.218840
Resource: RRID:Addgene_52961
Curator: @scibot
SciCrunch record: RRID:Addgene_52961
RRID:SCR_028285
DOI: 10.1002/jms.70106
Resource: RRID:SCR_028285
Curator: @scibot
SciCrunch record: RRID:SCR_028285
RRID:MMRRC_075158-UCD
DOI: 10.7554/eLife.110324
Resource: RRID:MMRRC_075158-UCD
Curator: @AleksanderDrozdz
SciCrunch record: RRID:MMRRC_075158-UCD
RRID:SCR_02235345
DOI: 10.1038/s41467-026-77168-x
Resource: RRID:SCR_022353
Curator: @AleksanderDrozdz
SciCrunch record: RRID:SCR_022353
Addgene_v49556
DOI: 10.1016/j.neuron.2026.08.012
Resource: RRID:Addgene_49556
Curator: @nmaralla
SciCrunch record: RRID:Addgene_49556
Tell me this is what you want.
女主也是被监视的人,怎么感觉男主在责怪女主?按照后面女主vo,她害怕男主因为她失去继承权害怕男主的人生被爸爸毁掉,那么此处应该是两人有亲密接触,然后女主发现有佣人在监视,于是主动拉开距离划清界限,但现在完全没体现
Report to the outer perimeter. Now.
太高深了,虽然我知道servant是想阻止男女主见面或者监视女主,但仅凭现在的对话根本看不懂servant是在干嘛
Figure 1. Too few GPUs and you miss your target; too many and you pay for idle cards. The right panel is the surprising part: the same eight GPUs, arranged two different ways, differ by nearly 2× in throughput - and which way wins depends on your traffic.
what is the y axis? also pls read the text of right side bottom part. 50 requests vs 56 concurrency. why compare these two?
nobody expects
assume you are writing for an audience with avg inference knowledge. those people would expect this.
halving it doesn’t make the launch a bit slower - it can double the time to get there.
what does this mean?
and you feel it
AI / Poetic phrase.
before you’ve served a single extra user
what does this mean?
The prompts are long, the answers longer.
This kind of language makes it sound like AI. Just mention some example ISL OSL.
This series explains how - and how close the predictions land to real hardware.
"this series explains how you get to the most optimal GPU deployment configuration fast."
optimal layout
say "optimal deployment configuration". saying "layout" is again introducing new term which may cause confusion.
search the whole space in minutes
"run all the possible permutation & combinations of the configurations in less than 10 minutes." - try using language like this instead of saying "whole space".
on CPU
remove this part. saying CPU here may cause confusion
for traffic that doesn’t exist yet?
change this part. traffic does exist today otherwise they wouldn't be thinking of deployment.
I’d like to see a website called something like what is rss .com which explains RSS, feeds, and readers for a general audience. Then provides download links to a couple of readers for different platforms with animations that show how to subscribe to feeds. The site should be designed to be linked to from a small “what is this?” link next to every RSS feed on every site, maybe even customising the site for that feed. Perhaps I’ll built that site myself.
He did. He made aboutfeeds.com.
Creativity isn't a gift, it's a system<br /> by Perry Daniels on YouTube
Perry Daniels' "Grail Notebook" is just a translation from the latin of ars excerpendi?! hmmm....
Klimaat effect atlas, oa waterdiepte bij extreme neerslag, op adresniveau.
TNO study on open / European LLMs for government use. Assignment by MinBZK.
Open en Europese taalmodellen bij de overheid - definities en afwegingen in Zotero
Phenotype–genotype correlations in a pseudodominant Stargardt disease pedigree due to a novel ABCA4 deletion–insertion variant causing a splicing defect
PMID: 32627976
Gene: ABCA4
HGNC ID: 34
Patient 1
Case#: Patient 1, Female, age 40
DiseaseAssertion: STGD1
FamilyInfo: n/a
CasePresentingHPOs: HP:0007722, HP:0000608, HP:0000007
CaseHPOFreeText: Patient diagnosed with STGD type 1, presenting with retinal pigment atrophy as well as other symptoms typical of STGD1 with reduced visual acuity. Patient daignosed at age 16.
CaseNotHPOs: n/a
CaseNotHPOFreeText: n/a
Genotyping Method: Patient ABCA-4 gene sequenced via Sanger sequencing of all 50 exons, Splice variants were identified by synthesized cDNA from RNA isolation with RT-PCR analysis with exonic primers.
PreviouslyPublished: Variant 1 identified in association with retinal dystrophy in these PMC articles: 23982839, 25082829, 25082885, 28327576
Variant: NM_000350.3(ABCA4):c.859-9T>C, NM_000350.3(ABCA4):c.303-3C>G
ClinVar: 3249248, 859348
gnomAD total allele frequency: 0.005% of var . 1
CAID: n/a
SupplementalData: Fig 1: Minigene RNA analysis of splice variants. A: genomic region of exon 40 on ABCA-4. B: genomic regions of exons 39-41 to investigate specific variant:oncanonical splice site variant c.5714+5G>A Fig 2: overview of wild-type midigene splice constructs of ABCA-4 and locations of 47 different non canonical splice site variants Fig 3: Overview of splice defects from nine different non canonnical splice variants in ABCA-4 gene. Fig 4: percentages of normal ABCA-4 transcripts as a result of noncanonical splice variants using electrophoresis system analysis. Table 1: Non canonical splice variants and observed protein affects.
Genetic Spectrum of ABCA4-Associated RetinalDegeneration in Poland
PMID: 31766579
Gene: ABCA4
HGNC ID: 34
48-year-old woman
Case#: Patient female, 48y, ethnicity not reported
DiseaseAssertion: Stargardt disease (STGD1) with unusual phenotype resembling pattern dystrophy
FamilyInfo: autosomal recessive inheritance; segregation analysis confirms each parent carries one variant (heterozygous). Pedigree shown in Figure 3. Proband is compound heterozygous for ABCA4 variants.
CasePresentingHPOs: HP:0007663, HP:0007754, HP:0030636, HP:0000548
CaseHPOFreeText: mild visual impairment (BCVA 20/25 and 20/20), perifoveal yellow fleck-like lesions, hyperautofluorescent lesions with lipofuscin accumulation, foveal sparing, subretinal material accumulation, phenotype resembling pattern dystrophy, bilateral macular involvement, decreased p50 values on pattern ERG
CaseNotHPOs: HP:0000510 (normal ERG responses except pattern ERG component)
CaseNotHPOFreeText: normal full-field ERG (scotopic and photopic responses), normal electrooculography, preserved outer retina structure, minimal photoreceptor disruption at fovea
Genotyping Method: targeted next-generation sequencing (Illumina NextSeq500) with SeqCap EZ enrichment panel; Sanger sequencing used for confirmation and segregation analysis
PreviouslyPublished: n/a
Variant: ABCA4 NM_000350.2: c.428C>T (p.Pro143Leu); c.3113C>T (p.Ala1038Val)
ClinVar: 99273; 7894
CAID: n/a
SupplementalData: clinical imaging and genetic/segregation data in supplemental data (Figures 1–3, Table 1)
A Case Report of Pseudoxanthoma Elasticum with Rare Sequence Variants in Genes Related to Inherited Retinal Diseases
PMID: 34679498
Gene: ABCA4
HGNC ID: 34
V1 H1 Exon 36.1–3 G>A chr1:94,484,001 c.5196+1137G>A 4 4 0 0
Case#: Braun Family 1 Proband (from left to right, top to bottom of available pedigrees), female
DiseaseAssertion: Stargardt
FamilyInfo: Both parents are unaffected heterozygotes. c.4139C>T (p.P1380L) paternally inherited, c.5196+1137G>A maternally inherited. Proband has 2 unaffected, heterozygous children.
CasePresentingHPOs:
CaseHPOFreeText: "five or more of the following features of ABCA4-associated retinal disease: decreased visual acuity before age 20, decreased visual acuity as the first visual symptom, symmetrical fundus findings, pisciform flecks, beaten metal macular atrophy, bulls-eye maculopathy, peripapillary sparing, vermillion fundus, masked choroid on fluorescein angiography, nummular pigment overlying extensive macular atrophy, central outer retinal atrophy on optical coherence tomography and central scotomas on Goldmann perimetry."
CaseNotHPOs:
CaseNotHPOFreeText:
GenotypingMethod: one plausible disease-causing mutation detected in ABCA4 after assessing the entire coding sequence and canonical retinal splice junctions with automated bidirectional Sanger sequencing using an ABI 3730 sequencer
PreviouslyPublished: n/a
Variant: c.5196+1137G>A; c.4139C>T (p.P1380L)
ClinVar: 438100
CAID: CA26843511
SupplementalData: pedigree in fig s2
V1 H1 Exon 36.1–3 G>A chr1:94,484,001 c.5196+1137G>A 4 4 0 0
Case#: Braun Family 7 Proband (from left to right, top to bottom of available pedigrees), female
DiseaseAssertion: Stargardt
FamilyInfo: Unaffected carrier parents. c.5196+1137G>A maternally inherited; c.4561-10T>C paternally inherited
CasePresentingHPOs:
CaseHPOFreeText: "five or more of the following features of ABCA4-associated retinal disease: decreased visual acuity before age 20, decreased visual acuity as the first visual symptom, symmetrical fundus findings, pisciform flecks, beaten metal macular atrophy, bulls-eye maculopathy, peripapillary sparing, vermillion fundus, masked choroid on fluorescein angiography, nummular pigment overlying extensive macular atrophy, central outer retinal atrophy on optical coherence tomography and central scotomas on Goldmann perimetry."
CaseNotHPOs:
CaseNotHPOFreeText:
GenotypingMethod: one plausible disease-causing mutation detected in ABCA4 after assessing the entire coding sequence and canonical retinal splice junctions with automated bidirectional Sanger sequencing using an ABI 3730 sequencer
PreviouslyPublished: n/a
Variant: c.5196+1137G>A; c.4561-10T>C
ClinVar: 438100
CAID: CA26843511
SupplementalData: pedigree in fig s2
V1 H1 Exon 36.1–3 G>A chr1:94,484,001 c.5196+1137G>A 4 4 0 0
Case#: Braun Family 2 Proband (from left to right, top to bottom of available pedigrees), female
DiseaseAssertion: Stargardt
FamilyInfo: Both parents are unaffected carriers. c.1622T>C (p.L541P) and c.3113C>T (p.A1038V) complex variants were paternally inherited, c.5196+1137G>A maternally inherited.
CasePresentingHPOs:
CaseHPOFreeText: "five or more of the following features of ABCA4-associated retinal disease: decreased visual acuity before age 20, decreased visual acuity as the first visual symptom, symmetrical fundus findings, pisciform flecks, beaten metal macular atrophy, bulls-eye maculopathy, peripapillary sparing, vermillion fundus, masked choroid on fluorescein angiography, nummular pigment overlying extensive macular atrophy, central outer retinal atrophy on optical coherence tomography and central scotomas on Goldmann perimetry."
CaseNotHPOs:
CaseNotHPOFreeText:
GenotypingMethod: one plausible disease-causing mutation detected in ABCA4 after assessing the entire coding sequence and canonical retinal splice junctions with automated bidirectional Sanger sequencing using an ABI 3730 sequencer
PreviouslyPublished: n/a
Variant: c.5196+1137G>A; c.1622T>C (p.L541P) and c.3113C>T (p.A1038V) complex variant
ClinVar: 438100
CAID: CA26843511
SupplementalData: pedigree in fig s2
Peripapillary atrophy in Stargardt disease
PMID:18854780
Gene: ABCA4
HGNC ID: 78
Disease: Stargardt
We identified 1319 distinct causative variants (Supplementary Table S1) in 132 different genes (Table (Table3).3). The ten most commonly mutated genes were ABCA4 (n = 535 [26.3%]), USH2A (n = 228 [11.2%]), RPGR (n = 102 [5%]), CHM (n = 72 [3.5%]), RHO (n = 72 [3.5%]), MYO7A (n = 69 [3.4%]), CRB1 (n = 55 [2.7%]), RPE65 (n = 40 [2%]), RP1 (n = 37 [1.8%]), and GUCY2D (n = 34 [1.7%]) (Table (Table3,3, Fig. 2a). The other 122 genes had a lower contribution to IRDs. One hundred genes were mutated in 15 patients or less and were collectively responsible for disease pathogenesis in 18% of the solved cohort (Fig. 2a, Table Table3).3). Thirty-two genes were mutated in only one patient (Table (Table3).3). Mutations in the mitochondrial DNA accounted for 2.1% of the cohort and were implicated almost exclusively in the pathogenesis of LHON.
This variant is in supplementary table S1 as being found in an Italian IRD "solved" case with AR inheritance, but no further details are provided.
14F/34320/200, 20/250OU: Severe RPE and choroidal atrophic changes in macula and throughout posterior pole and midperiphery, flecks throughout posterior poleCompound heterozygous: G818E and C1488RSubnormal rod, subnormal cone
Case#: Patient #14, female, 34yo
DiseaseAssertion: Stargardt
FamilyInfo:
CasePresentingHPOs:
CaseHPOFreeText: stage 3, BCVA: OD=20/200 OS=20/250, fundus findings: OU: Severe RPE and choroidal atrophic changes in macula and throughout posterior pole and midperiphery, flecks throughout posterior pole, full field ERG: Subnormal rod, subnormal cone,
CaseNotHPOs:
CaseNotHPOFreeText:
GenotypingMethod: direct sequencing of the ABCA4 gene
PreviouslyPublished:
Variant: Compound heterozygous: G818E and C1488R
ClinVar:
CAID:
SupplementalData:
MD-0723 STGD1 23 c.3386G>T p.(Arg1129Leu) 47 c.6410G>A p.(Cys2137Tyr) - 13 13 Yes 15y Cone-pattern 0.2/0.2 This study
This variant is found in compound heterozygosity with c.3386G>T p.(Arg1129Leu) in family MD-0723 in this study. Proband is 13yo at onset of VA loss and VF loss with night blindness. 15yo at opthalmological exam. Cone pattern on ERG. BCVA=0.2/0.2. Eligible for PP4.
35-year-old woman
**Case#: ** Female, 35yo
FamilyInfo: Unremarkable
CasePresentingHPOs: HP:0000529 Progressive visual loss, HP:0030532 Visual acuity, HP:0007401 Macular atrophy
CaseHPOFreeText: 35-year-old woman presented with symptom of gradually progressive diminution of vision in both eyes since childhood. Patient gave no history of defective night vision.
CaseNotHPO n/a
GenoTypeMethod: n/a (optical coherence tomography (OCT))
STGD1 was determined according to initial symptoms of VA loss; fundus images showing orange-yellow flecks in the retina, a beaten-bronze appearance; and normal or cone-altered ffERG results
This variant was found in homozygosity 3 times in table S1 (Families MD-0991, MD-1164, and MD-1302). All with a STGD1 phenotype.
MD-0991 had onset of VA loss at 25yo, cone-rod pattern on ERG, and BCVA was 1.2/1.2. Segregation was mentioned, but no details provided.
MD-1164 had onset of VA loss at 42yo, no VF loss, and BCVA was 0.2/0.3. Segregation was not mentioned.
MD-1302 had no clinical details available.
GenotypingMethod: Index cases were studied by different next-generation sequencing (NGS) strategies, including targeted gene panels, clinical exome, and/or whole-exome sequencing
The proband (K206–2) was 25-years-old
Case#: 25-year old female, juvenile onset
DiseaseAssertion: STGD1
FamilyInfo: Figure 1 shows family pedigree. Table 1 shows clinical features of a Chinese pedigree. Cosegregation analysis was done and shown in Figure 1A, C.
CasePresentingHPOs: HP:0007663, HP:0007722, HP:0007401, HP:0030329, HP:0030610, HP:0003621, HP:0011507, HP:0007984
CaseHPOFreeText: The uncorrected visual acuity of each eye was 20/400, which has progressively decreased for 13 years.
CaseNotHPOs: n/a
CaseNotHPOFreeText: The retinal vessels were normal.
Genotyping Method: Whole Exome Sequencing, Sanger Sequencing
PreviouslyPublished: n/a
Variant: NM_000350.3(ABCA4):c.3523-2A>G, NM_000350.3(ABCA4):c.5646G>A (p.Met1882Ile)
ClinVar: 866764, 377407
SupplementalData: n/a
Rp125 arRP ABCA4 NM_000350 Heterozygous c.6416G > C p.(Arg2139Pro) Novel Heterozygous c.1519G > T p.(Asp507Tyr) (Fujinami et al. 2013b)
Case#: Zhao Case Rp125, N. Ireland
DiseaseAssertion: arRP
FamilyInfo: familial case. affected sister with the same genotype
CasePresentingHPOs:
CaseHPOFreeText: "Retinitis pigmentosa was diagnosed on the basis of the typical fundal features (bone spicule retinal pigmentation, arteriolar attenuation, and optic disc pallor), visual field constriction, and an attenuated or abolished electroretinogram." 7yo at onset. BCVA= CF, HM. ERG findings: extinguished OU
CaseNotHPOs:
CaseNotHPOFreeText:
GenotypingMethod: Targeted next-generation sequencing using a retinal capture panel to test 55 RP genes and 131 other retinal disease genes. All putative mutations identified by NGS were validated using Sanger sequencing and tested for co-segregation if additional affected family members are available
PreviouslyPublished: n/a
Variant: NM_000350 c..6416G>C p.(Arg2139Pro); c.1519G>T p.(Asp507Tyr)
CAID: CA956878
SupplementalData: table s6, figure s1
Preclinical Development of Antisense Oligonucleotides to Rescue Aberrant Splicing Caused by an Ultrarare ABCA4 Variant in a Child with Early-Onset Stargardt Disease
PMID: 38607040
Gene: ABCA4
HGNC ID: 34
ABCA4-associated retinopathy complicated by didanosine-associated retinal toxicity
PMID: 41561667
Gene: ABCA4
HGNC ID: 34
Case#: patient 66, male, Italy
DiseaseAssertion: STGD
FamilyInfo: N/A
CasePresentingHPOs: HP:0000505, HP:0000551, HP:0000546
CaseHPOFreeText: best-corrected visual acuity (BCVA) was 20/400 in both eyes, mild myopia, both eyes were pseudophakic, extensive bilateral chorioretinal atrophy involving both the posterior pole and the peripheral retina, widespread mottled hypoautofluorescence in the mid-periphery, along with pronounced macular hypoautofluorescence, significant central retinal thinning, an enlarged foveal depression, outer retinal hyper-reflectivity associated with extensive atrophy of both the RPE and the underlying choroid, dense epiretinal membrane (ERM) was also identified in the right eye, large central hypofluorescent zone involving the macular region and extending beyond the vascular arcades
CasePreviousTesting: n/a
GenotypingMethod: Next-Generation Sequencing
PreviouslyPublished: n/a
Variant: c.1714C > T p. (Arg572∗)
ClinVar: 620085 https://www.ncbi.nlm.nih.gov/clinvar/variation/620085/?term=620085%5BVariation+ID%5D
gnomAD: 0.000001859 https://gnomad.broadinstitute.org/variant/1-94063158-G-A?dataset=gnomad_r4
Variant: c.2461T > A p. (Trp821Arg)
ClinVar: 99136 https://www.ncbi.nlm.nih.gov/clinvar/variation/99136/?term=99136%5BVariation+ID%5D
gnomAD: 0.000008054 https://gnomad.broadinstitute.org/variant/1-94055237-A-T?dataset=gnomad_r4
Variant: c.4417C>А p. (Leu1473Met)
ClinVar: 546600 https://www.ncbi.nlm.nih.gov/clinvar/variation/546600/?term=546600%5BVariation+ID%5D
gnomAD: 0.00005762 https://gnomad.broadinstitute.org/variant/1-94029567-G-T?dataset=gnomad_r4
Antioxidant Saffron and Central Retinal Function in ABCA4-Related Stargardt Macular Dystrophy
PMID: 31618812
Gene: ABCA4
HGNCID: HGNC:34
Patients: a group of 31 Stargardt disease/fundus flavimaculatus patients (14 males, 17 females) with an established ABCA4 genotype, accumulated prospectively over an interval of 12 months at the outpatient service of the Institution, were included in this study.
MonDO: MONDO:0019353
CaseInfo: Case 11, Male, 12yo. Compound het c.5882G > A; p.Gly1961glu (Pathogenic in ClinVar); c.6764G > T,p.Ser2255Ile
DiseaseAssertion: Stargardt disease/fundus flavimaculatus
FamilyInfo: Not provided
CasePresentingHPOs: HP:0007769, HP:0000608, HP:0012045 (Peripheral retinal degeneration, Macular degeneration, Retinal flecks)
CaseHPOFreeText: cone-rod pattern of retinal dysfunction
GenotypingMethod: Mutation screening was performed by single-strand conformation polymorphism (SSCP) strategy of the whole coding region of ABCA4. Direct sequencing was also performed on siblings of probands and parents, when available, to confirm segregation of alleles.
MultipleGeneVariants: (1) GeneName: ABCA4
(1)Variant: c.5882G > A; p.Gly1961glu
(1) CAID: CA119132
(1) gnomAD: 0.01250 (gnomadv4.0.0, Grpmax Filtering AF, South Asian) https://gnomad.broadinstitute.org/variant/1-94008251-C-T?dataset=gnomad_r4
(2) GeneName: ABCA4
(2) Variant: c.6764G>T (p.Ser2255Ile)
(2) CAID: CA202970
(2) gnomAD: 0.4845 (gnomadv4.0.0, Grpmax Filtering AF, African/African-American) https://gnomad.broadinstitute.org/variant/1-93996161-C-A?dataset=gnomad_r4
13. 34/F31.021.06OD−68.3−23.32p.Gly818Glu; p.Cys1488Arg
Case#: Pt 13, 34yo, female
DiseaseAssertion: Stargardt
FamilyInfo: n/a
CasePresentingHPOs:
CaseHPOFreeText: stage 3 (resorbed flecks), logMAR acuity: OD=1.02 OS 1.06, FST Rod Blue Stimulus (dB) OD= −68.3, FST Cone Red stimulus (dB) OD=−23.3, FST Group 2 (elevated cone and normal rod FST thresholds)
CaseNotHPOs:
CaseNotHPOFreeText:
GenotypingMethod:
PreviouslyPublished:
Variant: p.Gly818Glu; p.Cys1488Arg
ClinVar: 99135
CAID: CA227000
SupplementalData: n/a
Stop Buying Field Notes<br /> by Perry Daniels on YouTube
However, regardless of vote choice, there does seem to be a closeconnection between good health and political participation. Numerous studies have found thata range of illnesses lead to depressed likelihood of voting at the individual and aggregate levels,with the magnitude of effects often similar to or greater than that of traditional predictors (
Poor health may create another barrier to political participation. When people experiencing illness are less likely to vote, their needs may also be less represented in decisions about health care and public health policies. This shows how health and political participation can influence each other.
It matters not only that (some) people are able to vote, but also who they vote for, whoseinterests their representatives promote in policy, and whether politicians can in fact achieve theirpolicy goals.
This explains how voting can eventually influence health outcomes through policy decisions. Having the right to vote is important, but the policies supported by elected officials can also determine access to health services, funding, and other resources that affect population health.
Most Pencils Are Terrible. Here Are 6 You Should Actually Buy<br /> by [[John Pattison]] on YouTube<br /> accessed on 2026-09-14T23:51:04
Nationaltrends can be measured by using any of these data sources,state trends can be measured by using NVSS and BRFSS,and county trends can be measured by using NVSS.
Using data at national, state, and county levels helps show how health outcomes may differ depending on the population being examined. For nurses, recognizing these trends can help identify health concerns that may require more focused prevention and community interventions.
“No single measure can capture the health of the nation”(24)
Population health cannot be fully understood through one measure alone. Looking at life expectancy, mortality rates, disease patterns, and disparities together provides a clearer picture of a population’s health. Using multiple measures can also help identify communities that may need additional resources or targeted interventions.
interpretive claim above might begin by describing how the film’s exposition introduces Lale’s teacher, who is a significant figure in her life. This introduces a pattern that carries through the rest of the film: Lale seeks assistance from important figures outside her family.
The interpretive claim sounds like how a film critic content creator breaks down an analysis of a movie's themes.
Global nursing is the use of evidence-based nursing processes to promote sustainable planetary health andequity for all people. Global nursing considers social determinants of health, [and] includes individual andpopulation-level care, research, education, leadership, advocacy, and policy initiatives.
This passage shows that nursing extends beyond direct patient care. Nurses can influence population health through education, advocacy, research, and policy. Understanding social determinants of health is also important because it helps nurses recognize the barriers that may contribute to health disparities among different populations.
Social determinants of health are additional factors that influence the health of populations, families, andindividuals. Social determinants of health are conditions and social factors that affect outcomes and risk related tohealth, functioning, and quality of life. Conditions or factors in hospitals, clinics, workplaces, homes, towns andcities, schools, and beyond influence health outcomes for the population. Economic stability, education access andquality, health care access and quality, neighborhood and built environment, and social and community context arefive domains that shape the social determinants of health (Office of Disease Prevention and Health Promotion,2022). Please see Social Determinants Affecting Health Outcomes for a comprehensive discussion of socialdeterminants of health
This section stood out to me because it shows that a person’s health is influenced by much more than medical treatment. Factors such as income, education, access to health care, and the environment can affect health outcomes. As a nurse, understanding these factors is important because patients may face barriers outside of the hospital that affect their ability to follow a treatment plan or maintain their health.
Цели бизнеса должна быть напрямую связаны с целями проекта.
проект делает то, что помогает бизнесу добиться своих целей.
проект должен цель удовлетворить потребность пользователей.
ох мне придётся изучать боли пользователей.
полездно было бы записывать вопросы, чтоб потом было более интересно
proxor - это про операционные ценности. я автоматизирую работу Никиты.
ценность мой проект имеет для него, но что вот дальше?
какую ценность еще он моежт дать в будущем?
какая может быть по итогу цель всего проекта? ускорить и автотизировать.
ит проект - нужны постоянно новые технологии. требования постоянно могут меняться.
Нужно разговаривать на одном языке
Сроки - это фундамент.
от срока завият ресурсы.
до 1949 это проект. дальше операционная деятельность.
ит-проект создаёт ит-продукт
ит-услуга - это поддеркжа ит-продукта в течении долгого времени
Psychological factors in political positions and identity
missed calls in automobile sales
Silent Killer of Automobile Sales: Bleeding Leads from Missed Calls. Are unanswered calls at car dealerships costing missed sales and lost revenue? Improve customer experience and capture those valuable customer interactions.
Know More: https://callyzer.co/blog/the-cost-of-missed-calls-poor-call-handling-in-automobile-sales/
how to spot burned leads
How to spot burned leads before they cost you the pipeline: the real warning signs, how they differ from dead leads, and how to win a few back.
Despite these gains, millions of Americans remain uninsured (see figure 2). Some are eligible forsubsidized coverage via Medicaid or the Marketplaces but have yet to enroll, or have lostcoverage. The Marketplaces offer challenges (i.e. a perceived lack of affordable options). 17Despite subsidies, affordability remains a barrier for some, especially those at the higher end ofincome ranges eligible for subsidies. Others are not eligible for subsidies at all, due to having anaffordable offer of employer insurance, or being part of the “family glitch:” if an employer-sponsored plan satisfied the affordability threshold for that year, the entire family becomesineligible for subsidies, even if a family plan through the employer would cost more than theaffordability threshold.
This stood out to me because having health insurance options available does not necessarily mean that everyone can afford or access them. Eligibility requirements and the cost of coverage can still leave families without insurance. This shows how the structure of the U.S. health care system can contribute to differences in access to care.
Figure 2. The US Uninsured Population, by Subgroup, 2018
I found this figure helpful because it shows that people can be uninsured for different reasons rather than one single cause. Some may qualify for assistance but remain unenrolled, while others may not qualify for subsidies. It makes me think about how complicated navigating health insurance can be for patients.
But could health care reform be forever deferred? As long as the ranks of theuninsured continued to grow, the presence of market failure was impossibleto deny, and the door would be left open to calls for universal health care.Furthermore, health care expenditures actually continued to accelerate during the2000s, further weakening the defense of the status quo. As soon became clear,the sort of health care system that neoliberals wanted—a “consumer-driven”system with an abundance of private insurance plans with high out-of-pocketexpenses—wasn’t necessarily mutually exclusive with a system of almost-universal health care.
I found this interesting because it shows how rising numbers of uninsured people and increasing health care costs created pressure for reform. It also makes me wonder whether expanding insurance is enough if patients still face high out of pocket expenses.
The “consumer-driven health care” movement emerged directly from the“moral hazard” idea that people had to play with their own money when it cameto health care. As told by Jost in Health Care at Risk, its proponents have wonseveral policy achievements in recent decades, some of which were actuallyfirst championed by neoliberal think tanks.
This stood out to me because making patients responsible for more of their health care costs may encourage careful spending, but it can also make people delay needed care because they cannot afford the out of pocket cost.
What Reading Out Loud Does to Your Brain<br /> by The Upgrade with Makai Elías Calles
Much research has shown that individuals without health insurance are less likely to seekpreventive medical care such as medical checkups (especially Pap smears and mammograms for women,and prostate cancer screening for men) and immunizations and are less likely to see a medical providerwhen sick (or they wait until they are very sick when the benefits of early detection are lost). They areless likely to have a regular source of medical care and are more likely to see a different provider on eachvisit.
This stood out to me because having insurance affects more than whether a person can pay for care. Without a regular provider, patients may have difficulty receiving consistent follow up and preventive care.I think continuity of care is especially important for patients with chronic conditions because changes in their health may be missed when they repeatedly see different providers.
The lack of personal financial resources to pay for medical care and the lack of health insurance havea profound effect on the health of individuals and families.
This stood out to me because lack of insurance can affect more than whether a patient can pay a medical bill. It can cause patients to delay preventive care or wait until they are much sicker before seeking treatment. As a nursing student, this makes me think about how access to care can directly affect patient outcomes and health disparities.
UsefulCharts<br /> by [[Matt Baker]] on YouTube<br /> accessed on 2026-09-14T23:08:17
Pentest-Report Peergos Crypto & Software 05.2019
Books: HitParade: 1895-1945<br /> by [[TIME]]<br /> accessed on 2026-09-14T23:02:57
In the remainder of this , we will discuss a logical language called . It provides a convenient way to describe the logical relationship between two (or more) assertions, by using capital letters to represent assertions. Considered only as a symbol of , the letter A could mean any assertion. So, when translating from English into , it is important to provide a symbolization key that specifies what assertion is represented by each letter.
The name of the logical language and the symbol type A is supposed to be are never specified.
Based upon 1.4, the name is probably supposed to be 'propositional logic.'
The Success of Nonviolent Civil Resistance<br /> by [[Center for Nonviolent Conflict Research]] [[CNCR]]<br /> accessed on 2026-09-14T22:55:14
What are the roots that clutch, what branches grow Out of this stony rubbish? Son of man,
This is a vital passage, relating T.S. Eliot's understanding of poetry as dramatic human condition(s). I will discuss these lines in my conclusion, however, they (like much of this text) exist in duality: "roots" in reference to a sanctified humanity, and the anarchist nature of natural (mortal) life.
First, I refer to Rupert Brooke's AN UNUSUAL YOUNG MAN. In response to the tragedy of warfare, the man (titled 'friend') summits a "hill of gorse" and sits alone "looking at the sea. His mind... full of confused images, and the sense of strain." Explicitly outlined, the man is pensive, in reflection and torture. His ascension to the top of a "Gorse hill," a yellow-petaled flower with a prickly body, mirrors a rite or religious ritual; willingly, almost obligatorily, he subjects himself to the prickles to contemplate while overlooking a vast and supreme ocean. (Two parallel symbols of human waste and the consummate eternal (ocean).) While this image alone holds weight, when applied to Eliot's theory of impersonality, however, the man aids in developing a recurrent motif of war.
In the excerpt's following lines, the man's mental decrepitude (figurative)—illustrated by his irrational change in nationality & pledge to European nations—turns him into a symbol and actor in Eliot's theory of the Impersonal poem.
Outlined as the condition of "Impersonality," a poem must elicit its designed visceral, bodily response separate from its creator. That is, a poem must largely function autonomously (this is at least one interpretation). As Eliot articulates, "the more perfect the artist [of the poem], the more completely separate in him will be the man who suffers and the mind which creates; the more perfectly will the mind digest and transmute the passions which are its material (Eliot, "Tradition and the Individual Talent"). Extended to Rupert Brooke's An Unusual Young Man, This character of poetry seems manifest in the protagonist. The man is the mind upon which war, as a poem, acts. With this analogy, war becomes a perfectly self-sustaining entity; war is the poem and the artist, and by their effect, the man ('friend') will "transmute the passions which are its [wars, not his own] material."
With this, it's possible to equate the lines, “What are the roots that clutch, what branches grow/ Out of this stony rubbish? Son of man,” as man’s (humankind’s) roots that so tenuously clutch out “stony rubbish” body and mind and creator. Under the spell of war, man must transmute its passions—those of our own; those passions that drive humanity (in all its sectors, from barbarity to sophistication)—into something greater than its parts. Though, this is a puzzle the poem and excerpt do not willingly reveal: in deep thought, the man (‘friend’) concludes, “Something was growing in his heart, and he couldn't tell what.”
The '3.5% rule': How a small minority can change the world<br /> by [[David Robson]]<br /> accessed on 2026-09-14T22:54:21
treating hysteria had through the years- get married and have sex.
Why was marriage considered a medical treatment?
on days when Hernando outwardly presents as more feminine, they don’t necessarily identify with being a woman.
In another quote, the author explains, "on days when Hernando outwardly presents as more feminine, they don’t necessarily identify with being a woman. Here is an example of the gender fluidity dynamic. We are given context of how Hernando could feel a certain way but won't feel the need identify. I believe this is a good way for those to not feel pressured into these norms.
Everyone whom BBC Worklife spoke with for this article described gender fluidity in slightly different ways, but they all landed on roughly the same idea: it indicates that gender “is not a fixed point”, as Powell puts it, but rather flexible and able to shift depending on various factors, both within a person’s internal self as well as their external surroundings.
The author states, "gender is not a fixed point, as Powell puts it, but rather flexible and able to shift depending on various factors, both within a person’s internal self as well as their external surroundings" (Klein). This quote stood out to me because it summarizes gender fluidity. The quote also establishes that there are many gender fluid minorities may have their own definition. It helps everyone understand the concept better.
Why, again, do whole groups of allied species appear, though certainly they often falsely appear, to have come in suddenly on the several geological stages?
Darwin realizes that the fossil record does not align with his views on the gradual evolutionary tract. I think this is important how he reflects on his own work even though it proves him wrong. This sentence really shows how Darwin thinks as a scientist rather than arguing that evolution is an established fact. I also did some digging to find more information on the Silurian system and it seems that Darwin already had a strong foundation for geology before he set out on his voyage due to all the geology references in this reading.
A grain in the balance will determine which individual shall live and which shall die,—which variety or species shall increase in number, and which shall decrease, or finally become extinct.
I know that this quote is famous but I still find it very touching and eye opening. Even the tiniest of advantages one animal has over another can mean life or death for that individual. I remember learning about the peppered moths in first year anth100 and I think this is a really great example of Darwin's point. A small difference in colouration could determine whether a moth is camouflaged from predators or easily spotted. As Darwin states in this paragraph, one small trait such as the colouration of a moth can lead to major impacts on the species as it evolves.
So that, on the one hand, considerable changes in the conditions of life and crosses between greatly modified forms, lessen fertility; and on the other hand, lesser changes in the conditions of life and crosses between less modified forms, increase fertility.
I find it mind blowing how Darwin came up with this theory without knowing anything about genomics or chromosomes. As we now know, sterile hybrids created by two separate species are sterile because of genetic incompatibilities such as a difference in chromosome numbers or structures. Despite not having any access to this information, Darwin still came up with this majour breakthrough in science that was the foundation for modern biology!
CRAP tells you to put related things close together (proximity) and to make like things look alike (repetition), but it does not explain why those moves work. The Gestalt principles, which come from early-twentieth-century perception research, do. They describe how the human eye automatically organizes what it sees into groups and wholes, before conscious thought. A handful matter most for document design: Proximity: elements placed near one another are read as related. (This is the same insight CRAP borrows.) Similarity: elements that share a color, shape, size, or font are read as belonging together, even when they sit far apart. Continuity: the eye follows lines and alignments and expects them to continue, which is part of why alignment feels orderly. Closure: the eye fills in gaps to perceive complete shapes, which is how a logo made of fragments still reads as a whole. Figure and ground: we separate a foreground object from its background, which is the work that white space and contrast quietly do. Common region: elements inside a shared boundary, such as a box or a shaded panel, are read as a group even without proximity.
This is a great checklist to use when proofread, peer review, and just review any type of work. It makes things easier to read as well as scan.
I could hardly bear to think of the many weary steps I had taken, to come to this place.
At some points it seems like she is at ease with her situation, at some points she is disgusted. Very back and forth forth emotionally
and sell me for powder: for so they had sometimes discoursed
For powder? What is that