edit the calculate of the predict and edit css to make the logo in the right place and right size
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190752a275
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@ -484,10 +484,10 @@ $(document).ready(function(){
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};
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function calculate_first_lpv(result_json){
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result = {}
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result['age1'] = -Math.pow((Number(result_json['age'])/100),0.5);
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result['age2'] = -Math.pow((Number(result_json['age'])/100),0.5)*Math.log(result_json['age']/100);
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result['size1'] = -Math.log(Number(result_json['size'])/10);
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result['nposit'] = -Math.pow(((Number(result_json['ratio'])+0.1)/0.1),0.5);
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result['age1'] = Math.pow((Number(result_json['age'])/100),0.5);
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result['age2'] = Math.pow((Number(result_json['age'])/100),0.5)*Math.log(result_json['age']/100);
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result['size1'] = Math.log(Number(result_json['size'])/10);
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result['nposit'] = Math.pow(((Number(result_json['ratio'])+0.1)/0.1),0.5);
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if( Number(result_json['grade']) == 2)
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result['grade_2'] = 1;
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else
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@ -521,7 +521,7 @@ $(document).ready(function(){
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else
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result['lvi_yes'] = 0;
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try{
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result['lpv'] = ((result['age1']-0.7276655)*(10.87)+(result['age2']+0.4540707)*8.968+(result['size1']-0.643632)*0.7678+(result['nposit']-1.346932)*0.5339+
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result['lpv'] = ((result['age1']-0.7276655)*(-10.87)+(result['age2']+0.4540707)*8.968+(result['size1']-0.643632)*0.7678+(result['nposit']-1.346932)*0.5339+
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result['grade_2']*0.4795+result['grade_3']*0.818+result['subtype_HER2']*0.1806+result['subtype_triple']*0.6457+result['pstage_2']*0.5311+
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result['pstage_3']*1.134+result['pstage_4']*2.172+result['lvi_yes']*0.3321-0.04);
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}catch{result['lpv'] = "error"};
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@ -3,13 +3,21 @@
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}
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.head_logo{
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float:left;
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height: 6em;
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height: 4em;
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}
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@media screen and (max-width: 48em) .navbar-brand{
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width: 100%;
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}
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.navbar-brand>img.head_logo{
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width: 70%;
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height: auto;
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}
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.header-nav{
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top:0 !important;
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}
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.title_texts{
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color:rgb(210, 106, 2);
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display:none;
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}
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.cencer_table_name{
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display: inline-block;
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@ -41,10 +41,10 @@ class CancerpredictsController < ApplicationController
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locale = params['data']['locale'].to_s rescue 'zh_tw'
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locale = 'zh_tw' if locale == 'zh_cn'
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result = {}
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result['age1'] = -(params['data']['age'].to_f/100)**(0.5)
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result['age2'] = -((params['data']['age'].to_f/100)**(0.5))*Math.log(params['data']['age'].to_f/100,Math.exp(1))
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result['size1'] = -Math.log(params['data']['size'].to_f/10,Math.exp(1))
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result['nposit'] = -((params['data']['ratio'].to_f+0.1)/0.1)**0.5
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result['age1'] = (params['data']['age'].to_f/100)**(0.5)
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result['age2'] = ((params['data']['age'].to_f/100)**(0.5))*Math.log(params['data']['age'].to_f/100,Math.exp(1))
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result['size1'] = Math.log(params['data']['size'].to_f/10,Math.exp(1))
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result['nposit'] = ((params['data']['ratio'].to_f+0.1)/0.1)**0.5
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if params['data']['grade'].to_i == 2
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result['grade_2'] = 1
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else
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@ -85,7 +85,7 @@ class CancerpredictsController < ApplicationController
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else
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result['lvi_yes'] = 0
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end
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result['lpv'] = ((result['age1']-0.7276655)*(10.87)+(result['age2']+0.4540707)*8.968+(result['size1']-0.643632)*0.7678+(result['nposit']-1.346932)*0.5339+
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result['lpv'] = ((result['age1']-0.7276655)*(-10.87)+(result['age2']+0.4540707)*8.968+(result['size1']-0.643632)*0.7678+(result['nposit']-1.346932)*0.5339+
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result['grade_2']*0.4795+result['grade_3']*0.818+result['subtype_HER2']*0.1806+result['subtype_triple']*0.6457+result['pstage_2']*0.5311+
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result['pstage_3']*1.134+result['pstage_4']*2.172+result['lvi_yes']*0.3321-0.04 rescue 'error')
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@years = ['1','3','5']
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