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Update app.py

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  1. app.py +10 -12
app.py CHANGED
@@ -18,18 +18,16 @@ from process_input import encode_labels
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  sample_list = []
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- example1 = f"""The aim of this study was to describe the electrocardiographic ( ECG ) evolutionary changes after an acute myocardial infarction ( AMI ) and to evaluate their correlation with left ventricular function and remodeling.
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- The QRS complex changes after AMI have been correlated with infarct size and left ventricular function.
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- By contrast , the significance of T wave changes is controversial.
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- We studied 536 patients enrolled in the GISSI-3-Echo substudy who underwent ECG and echocardiographic studies at 24 to 48 h ( S1 ) , at hospital discharge ( S2 ) , at six weeks ( S3 ) and six months ( S4 ) after AMI.
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- The number of Qwaves ( nQ ) and QRS quantitative score ( QRSs ) did not change over time.
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- From S2 to S4 , the number of negative T waves ( nT NEG ) decreased ( p < 0.0001 ) , wall motion abnormalities ( % WMA ) improved ( p < 0.001 ) , ventricular volumes increased ( p < 0.0001 ) while ejection fraction remained stable.
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- According to the T wave changes after hospital discharge , patients were divided into four groups : stable positive T waves ( group 1 , n = 35 ) , patients who showed a decrease > or = 1 in nT NEG ( group 2 , n = 361 ) , patients with no change in nT NEG ( group 3 , n = 64 ) and those with an increase > or = 1 in nT NEG ( group 4 , n = 76 ).
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- The QRSs and nQ remained stable in all groups.
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- Groups 3 and 4 showed less recovery in % WMA , more pronounced ventricular enlargement and progressive decline in ejection fraction than groups 1 and 2 ( interaction time x groups p < 0.0001 ).
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- The analysis of serial ECG can predict postinfarct left ventricular remodeling.
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- Normalization of negative T waves during the follow-up appears more strictly related to recovery of regional dysfunction than QRS changes.
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- Lack of resolution and late appearance of new negative T predict unfavorable remodeling with progressive deterioration of ventricular function."""
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  sample_list.append(example1)
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  def format_non_empty_lists(objective, background, methods, results, conclusion):
 
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  sample_list = []
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+ example1 = f"""The aim of this study was to verify in bruxism patients the possible efficacy of auricular stimulation in reducing the hypertonicity of some masticatory muscles.
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+ Forty-three bruxism patients were randomly allocated to 3 groups : acupuncture , needle contact for 10 seconds , no treatment ( control ).
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+ Helkimo 's clinical dysfunction index ( CDI ) and anamnestic dysfunction index ( ADI ) were used to assess the functional state of the masticatory system.
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+ The resting electrical activity of the anterior temporalis ( AT ) , masseter ( MM ) , digastric ( DA ) and sternocleidomastoid ( SCM ) muscles was measured , according to Jankelson , with surface electrodes at baseline , after stimulation and continually for 30 minutes ( 120 measurements in total ).
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+ The electromyographical variations in the 3 groups were studied with t test for independent samples.
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+ Acupuncture and needle contact were superior to control in reducing the muscle hypertonicity of all muscles except SCM.
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+ In the comparison between acupuncture and needle contact the former showed better results only for the right TA and left DA ( p = 0.000 ).
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+ In this study it was possible to measure the efficacy of the stimulation of only one point or area , which is an ideal model for research in acupuncture.
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+ The auricular area we chose for stimulation was never used before for the purpose of relaxing masticatory muscles.
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+ Acupuncture and needle contact for 10 seconds showed similar effects."""
 
 
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  sample_list.append(example1)
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  def format_non_empty_lists(objective, background, methods, results, conclusion):