- Longo DL, Armitage JO. A Better Treatment for Advanced-Stage Hodgkin’s Lymphoma? New England Journal of Medicine. 2022;387(4):370-372. doi:10.1056/NEJMe2207639
- Choi Y, Diefenbach C. Advances in Therapy for Relapsed or Refractory Hodgkin Lymphoma. Current Oncology Reports. 2020;22(1):6-6. doi:10.1007/s11912-020-0866-3
- Connors JM, Jurczak W, Straus DJ, et al. Brentuximab Vedotin with Chemotherapy for Stage III or IV Hodgkin’s Lymphoma. New England Journal of Medicine. 2018;378(4):331-344. doi:10.1056/NEJMoa1708984
- Kersten MJ, Driessen J, Zijlstra JM, et al. Combining brentuximab vedotin with dexamethasone, high-dose cytarabine and cisplatin as salvage treatment in relapsed or refractory Hodgkin lymphoma: the phase II HOVON/LLPC Transplant BRaVE study. Haematologica. 2021;106(4):1129-1137. doi:10.3324/haematol.2019.243238
- Epperla N, Hamadani M. Double-refractory Hodgkin lymphoma: tackling relapse after brentuximab vedotin and checkpoint inhibitors. Hematology. 2021;2021(1):247-253. doi:10.118
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import pyimgur | |
import pyperclip | |
from PIL import Image, ImageGrab | |
import os | |
import time | |
# define the t to make the image name | |
t = time.localtime() | |
t =time.strftime("%y-%m-%d_%H_%M_%S", t) | |
CLIENT_ID = "YOURCLIENTID" # get if from https://imgur.com/account/settings/apps |
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#!/usr/bin/env python | |
import re | |
import pyperclip | |
import bitlyshortener | |
# Bitly token | |
api_token = 'db874d7954f55ad86d7a6bb769af1bff34153aa1' | |
# get myurl from clipboard | |
myurl = pyperclip.paste() | |
# Create and regex for check if a valid URL or not | |
regex = re.compile( |
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import os | |
import re | |
import pyperclip as pc | |
# pip install pyperclip if not installed | |
text = pc.paste() | |
# replace: | |
# 「blablabla... 」 | |
# | |
# 摘錄自:Author. 「」。Apple Books. |
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#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
# title: google and apple app review | |
# date: "2023-01-26" | |
from google_play_scraper import Sort, reviews_all | |
from app_store_scraper import AppStore | |
import pandas as pd | |
from urllib.parse import quote | |
import numpy as np |
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# -*- coding: utf-8 -*- | |
#!/usr/bin/env python3 | |
# title: split_by_heading | |
# date created: "2023-01-23" | |
import os | |
import sys | |
import argparse | |
from datetime import datetime |
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#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
# title: add_to_anki | |
# date: "2023-02-12" | |
import requests | |
import argparse | |
## python add_to_anki --deck="DECK_NAME" --front="Question here" --back="answer..." | |
def main(deck_name, front, back): |
function! ChatGPTTitle() let text = substitute(@", '\n', ' ', 'g') " Replace newlines with spaces let response = system('curl -X POST -H "Content-Type: application/json" -d '{"text": "' . text . '", "model": "text-babbage-001"}' https://api.openai.com/v1/engines/davinci-codex/completions') let json = json_decode(response) let title = json['choices'][0]['text'] put = "### " . title endfunction
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# Import necessary libraries | |
import pandas as pd #用於資料處理的模組 | |
import openai #OpenAI API模組 | |
# Read the Excel file with two columns | |
df = pd.read_excel('data.xlsx', usecols=['id', 'content']) #從Excel檔案讀取資料到dataframe中,只取'id'和'content'欄位的資料 | |
# Set the OpenAI API key from an environment variable | |
openai.api_key = "OPENAI_API_KEY" #設置OpenAI API的金鑰 |
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#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
# date: "2023-04-12" | |
import os | |
import requests | |
import base64 | |
folder_path = "." |
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