RRID:AB_2535813
DOI: 10.1007/s11033-026-11558-8
Resource: (Thermo Fisher Scientific Cat# A-21245, RRID:AB_2535813)
Curator: @scibot
SciCrunch record: RRID:AB_2535813
RRID:AB_2535813
DOI: 10.1007/s11033-026-11558-8
Resource: (Thermo Fisher Scientific Cat# A-21245, RRID:AB_2535813)
Curator: @scibot
SciCrunch record: RRID:AB_2535813
RRID:AB_228306
DOI: 10.1007/s11033-026-11558-8
Resource: (Thermo Fisher Scientific Cat# 31569, RRID:AB_228306)
Curator: @scibot
SciCrunch record: RRID:AB_228306
RRID:AB_2756695
DOI: 10.1007/s11011-026-01788-x
Resource: (Alomone Labs Cat# ANR-063, RRID:AB_2756695)
Curator: @scibot
SciCrunch record: RRID:AB_2756695
RRID:AB_2756765
DOI: 10.1007/s11011-026-01788-x
Resource: (Alomone Labs Cat# APR-081, RRID:AB_2756765)
Curator: @scibot
SciCrunch record: RRID:AB_2756765
RRID:AB_2876826
DOI: 10.1007/s11011-026-01788-x
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2876826
RRID:SCR_001622
DOI: 10.1007/s10548-025-01172-5
Resource: MATLAB (RRID:SCR_001622)
Curator: @scibot
SciCrunch record: RRID:SCR_001622
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
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_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_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_2571659
DOI: 10.1007/s00441-026-04054-9
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2571659
RRID:AB_10724708
DOI: 10.1007/s00441-026-04054-9
Resource: (GeneTex Cat# GTX89226, RRID:AB_10724708)
Curator: @scibot
SciCrunch record: RRID:AB_10724708
RRID:AB_2165861
DOI: 10.1007/s00441-026-04054-9
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2165861
RRID:AB_2725758
DOI: 10.1007/s00441-026-04054-9
Resource: (Synaptic Systems Cat# 403 004, RRID:AB_2725758)
Curator: @scibot
SciCrunch record: RRID:AB_2725758
RRID:AB_2170970
DOI: 10.1007/s00441-026-04054-9
Resource: (R and D Systems Cat# AF1445, RRID:AB_2170970)
Curator: @scibot
SciCrunch record: RRID:AB_2170970
RRID:AB_2037779
DOI: 10.1007/s00441-026-04054-9
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2037779
RRID:AB_354573
DOI: 10.1007/s00441-026-04054-9
Resource: (R and D Systems Cat# AF1067, RRID:AB_354573)
Curator: @scibot
SciCrunch record: RRID:AB_354573
RRID:AB_2313606
DOI: 10.1007/s00441-026-04048-7
Resource: (Vector Laboratories Cat# BA-1000, RRID:AB_2313606)
Curator: @scibot
SciCrunch record: RRID:AB_2313606
RRID:AB_91824
DOI: 10.1007/s00441-026-04048-7
Resource: (Millipore Cat# AB5380, RRID:AB_91824)
Curator: @scibot
SciCrunch record: RRID:AB_91824
RRID:CVCL_GP63
DOI: 10.1007/s00401-026-02989-5
Resource: (RRID:CVCL_GP63)
Curator: @scibot
SciCrunch record: RRID:CVCL_GP63
RRID:CVCL_X501
DOI: 10.1007/s00401-026-02989-5
Resource: (RRID:CVCL_X501)
Curator: @scibot
SciCrunch record: RRID:CVCL_X501
RRID:CVCL_0548
DOI: 10.1002/smsc.202500446
Resource: (ECACC Cat# 89050205, RRID:CVCL_0548)
Curator: @scibot
SciCrunch record: RRID:CVCL_0548
RRID:CVCL_0125
DOI: 10.1002/smll.202512540
Resource: (ATCC Cat# CRL-2539, RRID:CVCL_0125)
Curator: @scibot
SciCrunch record: RRID:CVCL_0125
RRID:SCR_006431
DOI: 10.1002/mdc3.70291
Resource: Parkinson's Progression Markers Initiative (RRID:SCR_006431)
Curator: @scibot
SciCrunch record: RRID:SCR_006431
RRID:SCR_025229
DOI: 10.1002/jcph.70159
Resource: University of Pittsburgh Pitt Biospecimen Core Facility (RRID:SCR_025229)
Curator: @scibot
SciCrunch record: RRID:SCR_025229
RRID:AB_2534077
DOI: 10.1002/dvdy.70093
Resource: (Molecular Probes Cat# A-11010, RRID:AB_2534077)
Curator: @scibot
SciCrunch record: RRID:AB_2534077
RRID:AB_609894
DOI: 10.1002/dvdy.70093
Resource: (Sigma-Aldrich Cat# T7451, RRID:AB_609894)
Curator: @scibot
SciCrunch record: RRID:AB_609894
RRID:AB_253616
DOI: 10.1002/dvdy.70093
Resource: None
Curator: @evieth
SciCrunch record: RRID:AB_2536161
RRID:AB_1
DOI: 10.1002/dvdy.70093
Resource: None
Curator: @evieth
SciCrunch record: RRID:AB_10734441
RRID:SCR_021139
DOI: 10.1002/cytoa.70010
Resource: ggpubr (RRID:SCR_021139)
Curator: @scibot
SciCrunch record: RRID:SCR_021139
RRID:SCR_007322
DOI: 10.1002/cytoa.70010
Resource: SEURAT (RRID:SCR_007322)
Curator: @scibot
SciCrunch record: RRID:SCR_007322
RRID:SCR_025968
DOI: 10.1002/cytoa.70010
Resource: stats (RRID:SCR_025968)
Curator: @scibot
SciCrunch record: RRID:SCR_025968
RRID:SCR_017672
DOI: 10.1002/cytoa.70010
Resource: SQLite (RRID:SCR_017672)
Curator: @scibot
SciCrunch record: RRID:SCR_017672
RRID:SCR_001905
DOI: 10.1002/cytoa.70010
Resource: R Project for Statistical Computing (RRID:SCR_001905)
Curator: @scibot
SciCrunch record: RRID:SCR_001905
RRID:SCR_007358
DOI: 10.1002/cytoa.70010
Resource: CellProfiler Image Analysis Software (RRID:SCR_007358)
Curator: @scibot
SciCrunch record: RRID:SCR_007358
RRID:SCR_025070
DOI: 10.1002/cytoa.70010
Resource: EVOS M7000 Imaging System (RRID:SCR_025070)
Curator: @scibot
SciCrunch record: RRID:SCR_025070
RRID:SCR_015246
DOI: 10.1002/cytoa.70010
Resource: Ilastik (RRID:SCR_015246)
Curator: @scibot
SciCrunch record: RRID:SCR_015246
RRID:CVCL_0063
DOI: 10.1002/cmdc.202500820
Resource: (RRID:CVCL_0063)
Curator: @scibot
SciCrunch record: RRID:CVCL_0063
RRID:CVCL_B478
DOI: 10.1002/cmdc.202500820
Resource: (NIH-ARP Cat# 8129-442, RRID:CVCL_B478)
Curator: @scibot
SciCrunch record: RRID:CVCL_B478
RRID:CVCL_0006
DOI: 10.1002/ccs3.70062
Resource: (RRID:CVCL_0006)
Curator: @scibot
SciCrunch record: RRID:CVCL_0006
RRID:CVCL_II76
DOI: 10.1002/advs.73843
Resource: (ATCC Cat# CRL-3304, RRID:CVCL_II76)
Curator: @scibot
SciCrunch record: RRID:CVCL_II76
RRID:CVCL_0182
DOI: 10.1002/advs.73843
Resource: (KCB Cat# KCB 200770YJ, RRID:CVCL_0182)
Curator: @scibot
SciCrunch record: RRID:CVCL_0182
RRID:CVCL_B260
DOI: 10.1002/advs.73843
Resource: (BCRJ Cat# 0331, RRID:CVCL_B260)
Curator: @scibot
SciCrunch record: RRID:CVCL_B260
RRID:CVCL_0023
DOI: 10.1002/advs.73843
Resource: (CCLV Cat# CCLV-RIE 1035, RRID:CVCL_0023)
Curator: @scibot
SciCrunch record: RRID:CVCL_0023
RRID:CVCL_4358
DOI: 10.1002/advs.73843
Resource: (IZSLER Cat# BS TCL 216, RRID:CVCL_4358)
Curator: @scibot
SciCrunch record: RRID:CVCL_4358
RRID:CVCL_1H44
DOI: 10.1002/advs.202523256
Resource: None
Curator: @scibot
SciCrunch record: RRID:CVCL_1H44
RRID:CVCL_3798
DOI: 10.1002/advs.202523256
Resource: (KCB Cat# KCB 2012112YJ, RRID:CVCL_3798)
Curator: @scibot
SciCrunch record: RRID:CVCL_3798
RRID:CVCL_0554
DOI: 10.1002/advs.202523256
Resource: (KCB Cat# KCB 92027YJ, RRID:CVCL_0554)
Curator: @scibot
SciCrunch record: RRID:CVCL_0554
RRID:CVCL_0035
DOI: 10.1002/advs.202522885
Resource: (ECACC Cat# 90112714, RRID:CVCL_0035)
Curator: @scibot
SciCrunch record: RRID:CVCL_0035
RRID:CVCL_1379
DOI: 10.1002/advs.202522885
Resource: (KCB Cat# KCB 200732YJ, RRID:CVCL_1379)
Curator: @scibot
SciCrunch record: RRID:CVCL_1379
RRID:CVCL_3791
DOI: 10.1002/advs.202522885
Resource: (ATCC Cat# CRL-11609, RRID:CVCL_3791)
Curator: @scibot
SciCrunch record: RRID:CVCL_3791
RRID:CVCL_0286
DOI: 10.1002/advs.202521337
Resource: (ATCC Cat# CRL-1446, RRID:CVCL_0286)
Curator: @scibot
SciCrunch record: RRID:CVCL_0286
RRID:CVCL_0063
DOI: 10.1002/advs.202521337
Resource: (RRID:CVCL_0063)
Curator: @scibot
SciCrunch record: RRID:CVCL_0063
RRID:CVCL_IU14
DOI: 10.1002/advs.202521279
Resource: (RRID:CVCL_IU14)
Curator: @scibot
SciCrunch record: RRID:CVCL_IU14
RRID:CVCL_0532
DOI: 10.1002/advs.202521279
Resource: (CLS Cat# 300342/p657_SK-OV-3, RRID:CVCL_0532)
Curator: @scibot
SciCrunch record: RRID:CVCL_0532
RRID:CVCL_0006
DOI: 10.1002/advs.202520890
Resource: (RRID:CVCL_0006)
Curator: @scibot
SciCrunch record: RRID:CVCL_0006
RRID:CVCL_0063
DOI: 10.1002/advs.202520890
Resource: (RRID:CVCL_0063)
Curator: @scibot
SciCrunch record: RRID:CVCL_0063
BL186
DOI: 10.1002/advs.202520890
Resource: RRID:BDSC_186
Curator: @scibot
SciCrunch record: RRID:BDSC_186
RRID:AB_2630356
DOI: 10.1002/advs.202519874
Resource: (Abcam Cat# ab150077, RRID:AB_2630356)
Curator: @scibot
SciCrunch record: RRID:AB_2630356
RRID:AB_2636859
DOI: 10.1002/advs.202519874
Resource: (Abcam Cat# ab178846, RRID:AB_2636859)
Curator: @scibot
SciCrunch record: RRID:AB_2636859
RRID:AB_2576208
DOI: 10.1002/advs.202519874
Resource: (Abcam Cat# ab150113, RRID:AB_2576208)
Curator: @scibot
SciCrunch record: RRID:AB_2576208
RRID:AB_2767439
DOI: 10.1002/advs.202519874
Resource: None
Curator: @scibot
SciCrunch record: RRID:AB_2767439
RRID:AB_2650601
DOI: 10.1002/advs.202519874
Resource: (Abcam Cat# ab150116, RRID:AB_2650601)
Curator: @scibot
SciCrunch record: RRID:AB_2650601
RRID:AB_561049
DOI: 10.1002/advs.202519874
Resource: (Cell Signaling Technology Cat# 3670, RRID:AB_561049)
Curator: @scibot
SciCrunch record: RRID:AB_561049
RRID:AB_2650602
DOI: 10.1002/advs.202519874
Resource: (Abcam Cat# ab150080, RRID:AB_2650602)
Curator: @scibot
SciCrunch record: RRID:AB_2650602
RRID:AB_2819164
DOI: 10.1002/advs.202519874
Resource: (Hangzhou HuaAn Biotechnology Cat# EM21002, RRID:AB_2819164)
Curator: @scibot
SciCrunch record: RRID:AB_2819164
RRID:AB_3069633
DOI: 10.1002/advs.202519874
Resource: (Huabio Cat# ET1602-20, RRID:AB_3069633)
Curator: @scibot
SciCrunch record: RRID:AB_3069633
RRID:AB_3073058
DOI: 10.1002/advs.202519874
Resource: (Huabio Cat# M1305-2, RRID:AB_3073058)
Curator: @scibot
SciCrunch record: RRID:AB_3073058
RRID:AB_2687948
DOI: 10.1002/advs.202519874
Resource: (Abcam Cat# ab150115, RRID:AB_2687948)
Curator: @scibot
SciCrunch record: RRID:AB_2687948
RRID:CVCL_2379
DOI: 10.1002/advs.202519433
Resource: (ATCC Cat# CRL-1459, RRID:CVCL_2379)
Curator: @scibot
SciCrunch record: RRID:CVCL_2379
RRID:CVCL_0060
DOI: 10.1002/advs.202519194
Resource: (NCI-DTP Cat# NCI-H1299, RRID:CVCL_0060)
Curator: @scibot
SciCrunch record: RRID:CVCL_0060
RRID:CVCL_0063
DOI: 10.1002/advs.202518974
Resource: (RRID:CVCL_0063)
Curator: @scibot
SciCrunch record: RRID:CVCL_0063
RRID:CVCL_0027
DOI: 10.1002/advs.202517596
Resource: (KCLB Cat# 88065, RRID:CVCL_0027)
Curator: @scibot
SciCrunch record: RRID:CVCL_0027
RRID:CVCL_0006
DOI: 10.1002/advs.202516948
Resource: (RRID:CVCL_0006)
Curator: @scibot
SciCrunch record: RRID:CVCL_0006
CVCL_0044
DOI: 10.1002/advs.202516948
Resource: (KCLB Cat# 10098, RRID:CVCL_0044)
Curator: @scibot
SciCrunch record: RRID:CVCL_0044
RRID:CVCL_7162
DOI: 10.1002/advs.202516948
Resource: (ATCC Cat# CRL-3271, RRID:CVCL_7162)
Curator: @scibot
SciCrunch record: RRID:CVCL_7162
RRID:CVCL_0168
DOI: 10.1002/advs.202516355
Resource: (BCRJ Cat# 0395, RRID:CVCL_0168)
Curator: @scibot
SciCrunch record: RRID:CVCL_0168
Addgene_51076
DOI: 10.1002/advs.202515654
Resource: None
Curator: @scibot
SciCrunch record: RRID:Addgene_51076
Addgene_137804
DOI: 10.1002/advs.202515654
Resource: RRID:Addgene_137804
Curator: @scibot
SciCrunch record: RRID:Addgene_137804
Addgene_74279
DOI: 10.1002/advs.202515654
Resource: RRID:Addgene_74279
Curator: @scibot
SciCrunch record: RRID:Addgene_74279
RRID:CVCL_4401
DOI: 10.1002/advs.202515654
Resource: (ATCC Cat# CRL-11270, RRID:CVCL_4401)
Curator: @scibot
SciCrunch record: RRID:CVCL_4401
RRID:CVCL_0030
DOI: 10.1002/advs.202515654
Resource: (ICLC Cat# HTL95023, RRID:CVCL_0030)
Curator: @scibot
SciCrunch record: RRID:CVCL_0030
RRID:CVCL_1685
DOI: 10.1002/advs.202515431
Resource: (ATCC Cat# CRL-1629, RRID:CVCL_1685)
Curator: @scibot
SciCrunch record: RRID:CVCL_1685
RRID:CVCL_1107
DOI: 10.1002/advs.202515431
Resource: (BCRJ Cat# 0326, RRID:CVCL_1107)
Curator: @scibot
SciCrunch record: RRID:CVCL_1107
RRID:CVCL_0030
DOI: 10.1002/advs.202515192
Resource: (BCRC Cat# 60005, RRID:CVCL_0030)
Curator: @scibot
SciCrunch record: RRID:CVCL_0030
RRID:CVCL_0063
DOI: 10.1002/advs.202515192
Resource: (RRID:CVCL_0063)
Curator: @scibot
SciCrunch record: RRID:CVCL_0063
RRID:CVCL_0145
DOI: 10.1002/advs.202515192
Resource: (ATCC Cat# CRL-2302, RRID:CVCL_0145)
Curator: @scibot
SciCrunch record: RRID:CVCL_0145
addgene_71814
DOI: 10.1002/advs.202515192
Resource: RRID:Addgene_71814
Curator: @scibot
SciCrunch record: RRID:Addgene_71814
RRID:CVCL_0062
DOI: 10.1002/advs.202513341
Resource: (RRID:CVCL_0062)
Curator: @scibot
SciCrunch record: RRID:CVCL_0062
RRID:CVCL_0292
DOI: 10.1002/advs.202513341
Resource: (DSMZ Cat# ACC-357, RRID:CVCL_0292)
Curator: @scibot
SciCrunch record: RRID:CVCL_0292
RRID:CVCL_0031
DOI: 10.1002/advs.202513341
Resource: (NCI-DTP Cat# MCF7, RRID:CVCL_0031)
Curator: @scibot
SciCrunch record: RRID:CVCL_0031
RRID:CVCL_2379
DOI: 10.1002/advs.202513341
Resource: (ATCC Cat# CRL-1459, RRID:CVCL_2379)
Curator: @scibot
SciCrunch record: RRID:CVCL_2379
RRID:CVCL_0598
DOI: 10.1002/advs.202513341
Resource: (ATCC Cat# CRL-10317, RRID:CVCL_0598)
Curator: @scibot
SciCrunch record: RRID:CVCL_0598
RRID:CVCL_9U56
DOI: 10.1002/advs.202509784
Resource: (RRID:CVCL_9U56)
Curator: @scibot
SciCrunch record: RRID:CVCL_9U56
RRID:SCR_004463
DOI: 10.1002/advs.202508934
Resource: rna-star (RRID:SCR_004463)
Curator: @scibot
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http://bafybeif26ootd53sc5vd2gctudzn7odohwsug54lm26ojfjzt743knxotq.ipfs.localhost:8080/?filename=index.htm
dweb.link ? - ipfs=bafybeif26ootd53sc5vd2gctudzn7odohwsug54lm26ojfjzt743knxotq - urn=💻.thinkpad.🧊.♖.indy.📓.2026.02.19/♖.indy.0
For the first violation, staff would keep a student’s phone for the day and call their parents. Punishments would escalate until the sixth offense, when a student would have to meet with the school board, whose members might suggest the student enroll elsewhere.
To me, I remember during my school days, it was like this something similar but we had four strikes. 1st was wait until after school to get it from the teacher, then the office then wait until the next day then wait a month to get our phones back. It was terrible but I feel like punishments shouldn't go this far as to discipline, there should better tactics to give better punishments for students.
“It’s great to say no phones, but I don’t think people realize the addiction of the phones and what students will go to to tell you ‘No, you’re not taking my phone.’”
This highlights how smartphone dependence affects students’ reactions to policy, showing the emotional and psychological dimensions of bans.
Instead of putting their devices in magnetically locked pouches, like they’re supposed to, some kids will stick something else in there instead, like a disused old phone, a calculator, a glue bottle or just the phone case. Others attack the pouch, pulling at stitches, cutting the bottom, or defacing it so it looks closed when it’s really open. Most students comply, but those who don’t create disproportionate chaos.
Even when schools ban phones, enforcement is difficult, students find ways around systems, revealing behavioral and practical challenges.
At Bullard High School in Fresno, it’s easy to see the benefits of banning students’ cellphones. Bullying is down and socialization is up, principal Armen Torigian said. Enforcing the smartphone restrictions? That’s been harder.
This suggests phone bans can reduce bullying and improve social interaction, implying positive social effects beyond academics.
Educators who have enacted the smartphone restrictions said they help bolster student participation and reduce bullying but also raise challenges, like how to effectively keep phones locked up against determined students and how to identify and treat kids truly addicted to their devices.
This shows that taking away phones does get students to be more active in the classroom and erasing bullying is a big plus. The only downside listed is that it's hard to figure out ways to truly implement this because students will try to work around it. I think if there are clear improvements for students when this is implemented, it should be implemented more often. The down side I can think of is students not being able to reach their families, but that can also be done through phones at the office.
At Bullard High School in Fresno, it’s easy to see the benefits of banning students’ cellphones. Bullying is down and socialization is up, principal Armen Torigian said.
bulling
mirror between Peergos & IPFS infracons
Exploriment
named networks based InterPlanetary omn-optinal intentionally transparent
holonic info-norphic-com(unication|putation) infrastructure
built from Trust for Trust
autopoietic evergreen
designed to be easy to emulate compelling to do
Flip the Web Open
permanent link to mutable content on both Peergos and IPNS
When you find a book that is written about your topic, check the bibliography for references that you can try to find yourself.
Using bibliographies are a good way to do research and a good source.
Most writers find that the topics listed during the brainstorming or idea mapping stage are broad—too broad for the scope of the assignment
This is explaining that topics need to be narrowed down.
Discussing your ideas with your instructor will help ensure that you choose a manageable topic that fits the requirements of the assignment.
Having someone give you feedback is important for tweaking your paper to make it better.
You can also limit the time period from which you will draw resources.
Narrowing by time can refine the research
A research plan should begin after you can clearly identify the focus of your argument.
This shows that a clear thesis must come before detailed research.
Having to write a research paper may feel intimidating at first.
It's ok to feel intimidated at first because you are still learning.
You will need to put your thoughts together in a logical, coherent manner.
This shews the importance of organization in presenting research.
A research paper presents an original thesis, or purpose statement, about a topic and develops that thesis with information gathered from a variety of sources.
Research paper as an organized argument supported by evidence form multiple sources.
The text Successful Writing stresses that when you perform research, you are essentially trying to solve a mystery—you want to know how something works or why something happened.
This compares research to solving a mystery, showing that research is driven by curiosity
A successful research process should go through these steps: Decide on the topic. Narrow the topic in order to narrow search parameters. Consider a question that your research will address. Generate sub-questions from your main question. Determine what kind of sources are best for your argument. Create a bibliography as you gather and reference sources.
Good idea to have them in thought and practice them to make sure I include them.
you will most likely be asked to write a research paper during your academic career. Boundless Writing explains that a research paper is an expanded essay that relies on existing discourse to analyze a perspective or construct an argument. Because a research paper includes an extensive information-gathering process in addition to the writing process, it is important to develop a research plan to ensure your final paper will accomplish its goals.
It is so useful to learn how to write a research paper and it's going to help anyway in your career pathways.
Omit any general claims that are hard or impossible to support.
don't make claims that you can't prove with evidence.
Replace any linking verbs with action verbs
Use stronger action words instead of "is" or "are"
Clarify ideas that need explanation by asking yourself questions that narrow your thesis.
Questioning your thesis will make it stronger.
For any claim you make in your thesis, you must be able to provide reasons and example
You need solid proof, it just your opinion
A factual statement often is not considered arguable.
if everyone agrees with it then it's not a strong thesis.
A strong thesis statement must be precise enough to allow for a coherent argument and to remain focused on the topic
Your claim must be clear and exact so your argument stays focused.
A thesis statement must concentrate on a specific area of a general topic
Narrow down what you write.
A thesis is generally one to two sentences long and appears toward the end of your introduction.
A thesis should be short and located near the intro
What do I want to write about it?
We must decide what we personally think about the topic.
A thesis is not your paper’s topic
A thesis is an interpretation rather than just being a topic.
A thesis statement is an argumentative central claim in a paper; the entire paper is focused on demonstrating that claim as a valid perspecti
A thesis is not just a topic but a claim that must be proven with evidence.
After developing an outline, a good next step is refining your thesis statement.
Writing happens in stages. You first plan and then improve your thesis.
A trustworthy and human centric AI is both pivotal for economic growth and crucial for preserving the fundamental rights and principles that underpin our societies. Swift policy action is of highest priority.
The EU connects AI innovation with human rights, showing their strategy focuses on ethics as well as economic growth.
[[AI Contintent Action Plan]]
The shady bunch that forms Trump's bribes for peace
AVG Verwerkingsregisters Rijksoverheid
StandICT.eu funds/trains ICT experts to participate in (global) standardisations work, wrt EU policy alignment
BOSS Business Operations Support System contains descriptions of the workings of CEN-CENELEC standardisation workflows and processes.
OSF / IMI studie over opbrengst overheidstransparantie
Crenshaw developed the term intersectionality - using an analogy of an intersection: one road representing a workforce structured by race, the other road by gender.
info
nformation science methodologies are applied across numerous domains, reflecting the discipline's versatility and relevance. Key application areas include:
Hay muchos campos actualmente donde se aplica la ciencia de la información tal como menciona este apartado que abarca la mayoría sino todos los aspectos de la vida actualmente, tanto a nivel personal como a nivel organizacional o de estado/gobierno, en calidad de usuario y proveedor o comunidad para comunidad. Al tener una presencia tan indiscutible hace que la profundización de sus procesos e investgaciones generen valor dentro de la misma disciplina tanto como para los que se benefician de los resultados.
once a happy race, since made miserable by the white people.
The Europeans took a land that never belonged to them in the first place
The white people have no right to take the land from the Indians, because they had it first;
Europeans had no right taking the land away from the native people
with myself and children have had the good fortune to get my freedom, by means of an act of assembly passed on the first of March 1780, and should now with my family be as happy a set of people as any on the face of the earth, but I am told the assembly are going to pass a law to send us all back to our masters
This highlights the injustice the enslaved African American people had to face, even after gaining freedom. There was a possibility of a law that might re-enslave them. The author wrote this letter to talk about the cruelty and injustice of taking away the freedom they gained
Both Mars trilogies, then, stage the conflict between ecologicalconservation and commercial development as a central feature of theirextraterrestrial societies. Bio- or eco-centrism of the kind articulatedby Waterman and Clayborne has been controversial in environmental-ist thought because its valuation of nonhuman nature in and of itselfhas often been accompanied by a more or less thinly veiled antagonismto the human presence, and to willful ignorance of the ways in whichmany supposedly “pristine” landscapes around the globe have in factbeen reshaped by indigenous societies for millennia. The untouchedsurroundings celebrated by deep ecology, so the movement’s critics haveargued, are far more exceptional in reality than ecocentrism alleges, andare often nothing more than a politically pernicious myth that choosesto forget the violent expulsions of indigenous people that often precededthe establishment of “wilderness” reserves. Since Mars does truly confronthumans with an environment that they have never yet have had a chanceto alter in any way, it seems to offer ecocentrism a firmer foothold thanTerran landscapes. In a sense, then, Bova’s and Robinson’s trilogies opena fictional window onto humankind’s last encounter with a truly “other,”not humanly altered, environment—nature in the authentic sense of BillMcKibben’s definition.
For me, a biocentric ethic should not be misanthropic or deluded about humans being a part of nature and influencing other living beings and the environment. What biocentrism should be doing is critiquing certain human behaviors that do not respect the balance of the webs of life.
At the same time, Karl Marx (1818–1883) articulated a view of human history that likewise emphasized change and struggle. Conflicting social classes — enslaved people and their owners, peasants and nobles, workers and capitalists — successively drove the process of historical transformation.
Marx's ideas of class conflict have always intrigued me, and I see them hold true today when we think about the elites and the working class. In my opinion, it is a shame that the Cold War and Red Scare created a taboo around critiquing capitalism, as Marx's theory of class conflict provides a very useful sense for looking at the power disparity between colonial elites and the working class. The wealth gap continuing to grow larger and larger makes me anticipate further class consciousness, although, I do not know if I foresee a classless society as Marx describes.
If religion drove and justified European ventures abroad, it is difficult to imagine the globalization of Christianity (see Map 15.2) without the support of empire. Colonial settlers and traders, of course, brought their faith with them and sought to replicate it in their newly conquered homelands. New England Puritans, for example, planted a distinctive Protestant version of Christianity in North America, with an emphasis on education, moral purity, personal conversion, civic responsibility, and little tolerance for competing expressions of the faith. They did not show much interest in converting native peoples but sought rather to push them out of their ancestral territories.
I find it interesting how, historically, Christian faith was often not used as a personal conviction but more so as a religion as a tool of the state. Puritans saw indigenous people as obstacles to removed rather than souls to be saved. This directly contrasts Early Islamic Caliphates as they had significant cultural synthesis and trade-based conventions, and were typically more tolerable towards other cultures and beliefs.
The Romantic movement in art and literature appealed to emotion, intuition, passion, and imagination rather than cold reason and scientific learning.
I find it quite interesting how the Romantic Movement had a correlation to the scientific rationalism of the Enlightenment, the cold constraints of Neoclassicism, and the dehumanizing effects of the Industrial Revolution. I view the Romantic Period as a sort of rebellion against the cold nature of Enlightenment. I've noticed a trend in history where a period defined by more calculated and cold concepts tends to lead to a birth of new art and literature, which reaffirms the idea that humans need both for expression and expansion.
Often, students begin the writing process without ever thinking about a potential audience
This hit me. Writing only for a grade makes the work feel small. Thinking about a real reader raises the pressure—but also the purpose.
Take that one interesting idea/pattern and develop an “umbrella†statement or a broad focus statement
The umbrella statement feels grounding. I like that it can start simple and evolve.
Search for patterns in your list, and make a new list of those patterns. Keep an eye out for things that strike you as meaningful and interesting and that happen again and again.
Patterns mean something keeps pulling my attention. That’s where analysis begins.
The first step in finding a focus is to read through all of your fieldnotes two times. As you read, notice when and where you become particularly interested in what you have written. Circle, mark or note these passages in some way. Write a brief summary of each idea/passage on a separate sheet. After you identify what interests you most, move on to search for patterns that will lead you to focus.
This makes the process feel slower and more intentional. Instead of rushing to a thesis, I have to sit with my observations.
aaaa
13.2. Unhealthy Activities on Social Media# Given the complex relationship between internet-based social media and mental health, let’s first look at some social media activities that people may find harmful to their mental health. Here are a few examples:
The section on doomscrolling really resonates with me because it’s so easy to fall into that cycle without realizing it. Social media makes negative content endlessly available, and sometimes it feels almost addictive even when it makes you feel worse. It’s interesting to think about how platform design might encourage these behaviors.
13.5.4. Search through news submissions and only display good news# Now we will make a different version of the code that computes the sentiment of each submission title and only displays the ones with positive sentiment. # Look up the subreddit "news", then find the "hot" list, getting up to 10 submission submissions = reddit.subreddit("news").hot(limit=10) # Turn the submission results into a Python List submissions_list = list(submissions) # go through each reddit submission for submission in submissions_list: #calculate sentiment title_sentiment = sia.polarity_scores(submission.title)["compound"] if(title_sentiment > 0): print(submission.title) print() Copy to clipboard Fake praw is pretending to select the subreddit: newsBreaking news: A lovely cat took a nice long nap today! Breaking news: Some grandparents made some yummy cookies for all the kids to share! Copy to clipboard 13.5.5. Try it out on real Reddit# If you want, you can skip the fake_praw step and try it out on real Reddit, from whatever subreddit you want Did it work like you expected? You can also only show negative sentiment submissions (sentiment < 0) if you want to see only bad news.
This demo was interesting because it shows how algorithms can intentionally shape what users see. Filtering for only positive news might seem helpful for improving mental health, but it also raises questions about whether hiding negative information creates a distorted view of reality. I also noticed that sentiment analysis is a simplified way to judge content, since tone and context can be more complex than just positive or negative. Overall, this example shows how small design decisions in algorithms can significantly influence users’ emotional experiences online.
So in this chapter, we will not consider internet-based social media as inherently toxic or beneficial for mental health. We will be looking for more nuance and where things go well, where they do not, and why. { requestKernel: true, binderOptions: { repo: "binder-examples/jupyter-stacks-datascience", ref: "master", }, codeMirrorConfig: { theme: "abcdef", mode: "python" }, kernelOptions: { kernelName: "python3", path: "./ch13_mental_health" }, predefinedOutput: true } kernelName = 'python3'
This section makes me think social media isn’t just “showing posts”—it’s actively shaping what we believe is important, and even what feels true. The scary part is that the rules can be based on tons of signals we never consented to (like location or contacts), and because the algorithm is hidden, it’s hard to hold anyone accountable when the recommendations go wrong.
13.1.1. Digital Detox?# Some people view internet-based social media (and other online activities) as inherently toxic and therefore encourage a digital detox, where people take some form of a break from social media platforms and digital devices. While taking a break from parts or all of social media can be good for someone’s mental health (e.g., doomscrolling is making them feel more anxious, or they are currently getting harassed online), viewing internet-based social media as inherently toxic and trying to return to an idyllic time from before the Internet is not a realistic or honest view of the matter. In her essay “The Great Offline,” Lauren Collee argues that this is just a repeat of earlier views of city living and the “wilderness.” As white Americans were colonizing the American continent, they began idealizing “wilderness” as being uninhabited land (ignoring the Indigenous people who already lived there, or kicking them out or killing them). In the 19th century, as wilderness tourism was taking off as an industry, natural landscapes were figured as an antidote to the social pressures of urban living, offering truth in place of artifice, interiority in place of exteriority, solitude in place of small talk. Similarly, advocates for digital detox build an idealized “offline” separate from the complications of modern life: Sherry Turkle, author of Alone Together, characterizes the offline world as a physical place, a kind of Edenic paradise. “Not too long ago,” she writes, “people walked with their heads up, looking at the water, the sky, the sand” — now, “they often walk with their heads down, typing.” […] Gone are the happy days when families would gather around a weekly televised program like our ancestors around the campfire! But Lauren Collee argues that by placing the blame on the use of technology itself and making not using technology (a digital detox) the solution, we lose our ability to deal with the nuances of how we use technology and how it is designed: I’m no stranger to apps that help me curb my screen time, and I’ll admit I’ve often felt better for using them. But on a more communal level, I suspect that cultures of digital detox — in suggesting that the online world is inherently corrupting and cannot be improved — discourage us from seeking alternative models for what the internet could look like. I don’t want to be trapped in cycles of connection and disconnection, deleting my social media profiles for weeks at a time, feeling calmer but isolated, re-downloading them, feeling worse but connected again. For as long as we keep dumping our hopes into the conceptual pit of “the offline world,” those hopes will cease to exist as forces that might generate change in the worlds we actually live in together. So in this chapter, we will not consider internet-based social media as inherently toxic or beneficial for mental health. We will be looking for more nuance and where things go well, where they do not, and why.
This section does a good job showing that the relationship between social media and mental health is complex rather than purely positive or negative. I found the example of Facebook’s mood experiment especially interesting because it raises ethical concerns about consent and manipulation, not just mental health outcomes. The discussion of digital detox was also thoughtful, particularly the idea that blaming technology itself may prevent us from improving how platforms are designed. Overall, this reading encourages a more nuanced understanding of social media’s impact instead of oversimplifying it as either harmful or beneficial.