{"label": "OBJECTIVE", "text": "To investigate the efficacy of 6 weeks of daily low-dose oral prednisolone in improving pain , mobility , and systemic low-grade inflammation in the short term and whether the effect would be sustained at 12 weeks in older adults with moderate to severe knee osteoarthritis ( OA ) .", "metadata": ""}
{"label": "METHODS", "text": "A total of 125 patients with primary knee OA were randomized 1:1 ; 63 received 7.5 mg/day of prednisolone and 62 received placebo for 6 weeks .", "metadata": ""}
{"label": "METHODS", "text": "Outcome measures included pain reduction and improvement in function scores and systemic inflammation markers .", "metadata": ""}
{"label": "METHODS", "text": "Pain was assessed using the visual analog pain scale ( 0-100 mm ) .", "metadata": ""}
{"label": "METHODS", "text": "Secondary outcome measures included the Western Ontario and McMaster Universities Osteoarthritis Index scores , patient global assessment ( PGA ) of the severity of knee OA , and 6-min walk distance ( 6MWD ) .", "metadata": ""}
{"label": "METHODS", "text": "Serum levels of interleukin 1 ( IL-1 ) , IL-6 , tumor necrosis factor ( TNF ) - , and high-sensitivity C-reactive protein ( hsCRP ) were measured .", "metadata": ""}
{"label": "RESULTS", "text": "There was a clinically relevant reduction in the intervention group compared to the placebo group for knee pain , physical function , PGA , and 6MWD at 6 weeks .", "metadata": ""}
{"label": "RESULTS", "text": "The mean difference between treatment arms ( 95 % CI ) was 10.9 ( 4.8-18 .0 ) , p < 0.001 ; 9.5 ( 3.7-15 .4 ) , p < 0.05 ; 15.7 ( 5.3-26 .1 ) , p < 0.001 ; and 86.9 ( 29.8-144 .1 ) , p < 0.05 , respectively .", "metadata": ""}
{"label": "RESULTS", "text": "Further , there was a clinically relevant reduction in the serum levels of IL-1 , IL-6 , TNF - , and hsCRP at 6 weeks in the intervention group when compared to the placebo group .", "metadata": ""}
{"label": "RESULTS", "text": "These differences remained significant at 12 weeks .", "metadata": ""}
{"label": "RESULTS", "text": "The Outcome Measures in Rheumatology Clinical Trials-Osteoarthritis Research Society International responder rate was 65 % in the intervention group and 34 % in the placebo group ( p < 0.05 ) .", "metadata": ""}
{"label": "CONCLUSIONS", "text": "Low-dose oral prednisolone had both a short-term and a longer sustained effect resulting in less knee pain , better physical function , and attenuation of systemic inflammation in older patients with knee OA ( ClinicalTrials.gov identifier NCT01619163 ) .", "metadata": ""}
{"label": "BACKGROUND", "text": "Emotional eating is associated with overeating and the development of obesity .", "metadata": ""}
{"label": "BACKGROUND", "text": "Yet , empirical evidence for individual ( trait ) differences in emotional eating and cognitive mechanisms that contribute to eating during sad mood remain equivocal .", "metadata": ""}
{"label": "OBJECTIVE", "text": "The aim of this study was to test if attention bias for food moderates the effect of self-reported emotional eating during sad mood ( vs neutral mood ) on actual food intake .", "metadata": ""}
{"label": "OBJECTIVE", "text": "It was expected that emotional eating is predictive of elevated attention for food and higher food intake after an experimentally induced sad mood and that attentional maintenance on food predicts food intake during a sad versus a neutral mood .", "metadata": ""}
{"label": "METHODS", "text": "Participants ( N = 85 ) were randomly assigned to one of the two experimental mood induction conditions ( sad/neutral ) .", "metadata": ""}
{"label": "METHODS", "text": "Attentional biases for high caloric foods were measured by eye tracking during a visual probe task with pictorial food and neutral stimuli .", "metadata": ""}
{"label": "METHODS", "text": "Self-reported emotional eating was assessed with the Dutch Eating Behavior Questionnaire ( DEBQ ) and ad libitum food intake was tested by a disguised food offer .", "metadata": ""}
{"label": "RESULTS", "text": "Hierarchical multivariate regression modeling showed that self-reported emotional eating did not account for changes in attention allocation for food or food intake in either condition .", "metadata": ""}
{"label": "RESULTS", "text": "Yet , attention maintenance on food cues was significantly related to increased intake specifically in the neutral condition , but not in the sad mood condition .", "metadata": ""}
{"label": "CONCLUSIONS", "text": "The current findings show that self-reported emotional eating ( based on the DEBQ ) might not validly predict who overeats when sad , at least not in a laboratory setting with healthy women .", "metadata": ""}
{"label": "CONCLUSIONS", "text": "Results further suggest that attention maintenance on food relates to eating motivation when in a neutral affective state , and might therefore be a cognitive mechanism contributing to increased food intake in general , but maybe not during sad mood .", "metadata": ""}
{"label": "BACKGROUND", "text": "Although working smoke alarms halve deaths in residential fires , many households do not keep alarms operational .", "metadata": ""}
{"label": "BACKGROUND", "text": "We tested whether theory-based education increases alarm operability .", "metadata": ""}
{"label": "METHODS", "text": "Randomised multiarm trial , with a single arm randomly selected for use each day , in low-income neighbourhoods in Maryland , USA .", "metadata": ""}
{"label": "METHODS", "text": "Intervention arms : ( 1 ) Full Education combining a health belief module with a social-cognitive theory module that provided hands-on practice installing alarm batteries and using the alarm 's hush button ; ( 2 ) Hands-on Practice social-cognitive module supplemented by typical fire department education ; ( 3 ) Current Norm receiving typical fire department education only .", "metadata": ""}
{"label": "METHODS", "text": "Four hundred and thirty-six homes recruited through churches or by knocking on doors in 2005-2008 .", "metadata": ""}
{"label": "METHODS", "text": "Follow-up visits checked alarm operability in 370 homes ( 85 % ) 1-3 .5 years after installation .", "metadata": ""}
{"label": "METHODS", "text": "number of homes with working alarms defined as alarms with working batteries or hard-wired and number of working alarms per home .", "metadata": ""}
{"label": "METHODS", "text": "Regressions controlled for alarm status preintervention ; demographics and beliefs about fire risks and alarm effectiveness .", "metadata": ""}
{"label": "RESULTS", "text": "Homes in the Full Education and Practice arms were more likely to have a functioning smoke alarm at follow-up ( OR = 2.77 , 95 % CI 1.09 to 7.03 ) and had an average of 0.32 more working alarms per home ( 95 % CI 0.09 to 0.56 ) .", "metadata": ""}
{"label": "RESULTS", "text": "Working alarms per home rose 16 % .", "metadata": ""}
{"label": "RESULTS", "text": "Full Education and Practice had similar effectiveness ( p = 0.97 on both outcome measures ) .", "metadata": ""}
{"label": "CONCLUSIONS", "text": "Without exceeding typical fire department installation time , installers can achieve greater smoke alarm operability .", "metadata": ""}
{"label": "CONCLUSIONS", "text": "Hands-on practice is key .", "metadata": ""}
{"label": "CONCLUSIONS", "text": "Two years after installation , for every three homes that received hands-on practice , one had an additional working alarm .", "metadata": ""}
{"label": "BACKGROUND", "text": "http://www.clinicaltrials.gov number NCT00139126 .", "metadata": ""}
{"label": "OBJECTIVE", "text": "To evaluate the performance ( efficacy , safety and acceptability ) of a new micro-adherent absorbent dressing ( UrgoClean ) compared with a hydrofiber dressing ( Aquacel ) in the local management of venous leg ulcers , in the debridement stage .", "metadata": ""}
{"label": "METHODS", "text": "A non-inferiority European randomised controlled clinical tr
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科学文本的BERT模型.zip
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科学文本的BERT模型 -e git://github.com/ibeltagy/allennlp@fp16_and_others#egg=allennlp jsonlines lxml
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科学文本的BERT模型.zip (89个子文件)
scibert
__init__.py 99B
dataset_readers
__init__.py 0B
ebmnlp.py 3KB
classification_dataset_reader.py 2KB
models
__init__.py 0B
bert_text_classifier.py 4KB
dummy_seq2seq.py 944B
pico_crf_tagger.py 5KB
text_classifier.py 5KB
bert_crf_tagger.py 11KB
allennlp_config
parsing.json 2KB
text_classification_finetune.json 2KB
ner_finetune.json 2KB
text_classification.json 2KB
parsing_finetune.json 3KB
pico.json 2KB
pico_finetune.json 2KB
ner.json 2KB
misc
results.tsv 64KB
setup.py 395B
data
ner
NCBI-disease
dev.txt 313KB
test.txt 320KB
train.txt 1.73MB
JNLPBA
dev.txt 685KB
test.txt 1.43MB
train.txt 6.36MB
sciie
dev.txt 105KB
test.txt 218KB
train.txt 730KB
bc5cdr
dev.txt 1.44MB
test.txt 1.5MB
train.txt 1.46MB
parsing
genia
dev.txt 1.23MB
test.txt 1.21MB
train.txt 12.77MB
text_classification
citation_intent
dev.txt 29KB
test.txt 38KB
train.txt 455KB
sci-cite
dev.txt 246KB
test.txt 499KB
train.txt 1.9MB
sciie-relation-extraction
dev.txt 116KB
test.txt 244KB
train.txt 805KB
mag
dev.txt 730KB
test.txt 2.84MB
train.txt 10.64MB
rct-20k
dev.txt 5.82MB
test.txt 5.78MB
train.txt 34.7MB
chemprot
dev.txt 663KB
test.txt 938KB
train.txt 1.07MB
pico
ebmnlp
dev.txt 3.61MB
test.txt 711KB
train.txt 14.28MB
Dockerfile 1KB
requirements.txt 81B
results
cls_lr2e5_epochs3.csv 11KB
ner_lr5e61e55e5_epochs2345.csv 77KB
cls_lr2e5_epochs245.csv 32KB
vocab_important_for_ner.csv 32KB
pico_all_lr_epochs2345_uncased.csv 24KB
LOCAL_genia.txt 828B
finetune_citation_intent_scibert_extra_runs_both_vocab.csv 77KB
cls_lr2e5_epochs3_mag_only.csv 2KB
analyze.xlsx 34KB
ner_lr2e5_epochs3.csv 8KB
vocab_important_for_pico.csv 12KB
cls_lr5e61e55e5_epochs2345.csv 128KB
vocab_important_cls.csv 43KB
ner_lr2e5_epochs245.csv 19KB
finetune_genia_all.csv 29KB
scripts
tf_model_to_pytorch.sh 362B
sciie_to_conll2003.py 2KB
jurgens_to_text.py 808B
cheatsheet.txt 3KB
compute_confidence_intervals.py 7KB
sciie_to_relations.py 2KB
rct_to_text.py 798B
run_with_beaker.py 5KB
build_pretrain_corpus.py 5KB
exp.py 7KB
text_to_tfRecords.sh 929B
chemprot_to_relation.py 3KB
s2conll_to_conll2003.py 883B
train_allennlp_local.sh 973B
fix_format_pico_conll2003.py 2KB
KYLE_analyze_beaker_experiments.py 7KB
共 89 条
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