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Copy pathconfig.example.toml
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82 lines (74 loc) · 1.76 KB
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[profile]
name = "你的名字"
stage = "细胞生物学研0"
lab_website = "https://www.ismsz.cn/Web/KXYJKYTDPage?Id=20&PageId=14124"
timezone = "Asia/Shanghai"
[search]
# PubMed will return papers from the last N days.
days_back = 7
max_results = 80
language = "english"
# Starter query for a cell-biology student in a systems-medicine group.
# Edit this as your project direction becomes clearer.
pubmed_query = """
(
cell biology[Title/Abstract]
OR cellular mechanism[Title/Abstract]
OR organelle[Title/Abstract]
OR autophagy[Title/Abstract]
OR lysosome[Title/Abstract]
OR mitochondria[Title/Abstract]
OR cell death[Title/Abstract]
OR immune cell[Title/Abstract]
OR inflammation[Title/Abstract]
OR single-cell[Title/Abstract]
OR spatial transcriptomics[Title/Abstract]
OR systems immunology[Title/Abstract]
)
AND (
mechanism[Title/Abstract]
OR signaling[Title/Abstract]
OR disease[Title/Abstract]
OR therapy[Title/Abstract]
OR biomarker[Title/Abstract]
)
"""
[ranking]
# Higher weight means papers with these terms are pushed upward.
must_have = [
"cell biology",
"mechanism",
"signaling",
"immune",
"inflammation",
"single-cell",
"spatial transcriptomics",
]
nice_to_have = [
"autophagy",
"lysosome",
"mitochondria",
"organelle",
"cell death",
"tumor microenvironment",
"systems biology",
"bioinformatics",
]
avoid = [
"protocol only",
"case report",
"conference abstract",
]
[report]
top_n = 12
output_dir = "reports"
database_path = "data/literature_push.sqlite3"
[email]
enabled = false
smtp_host = "smtp.example.com"
smtp_port = 587
username = "your_email@example.com"
password_env = "LIT_PUSH_EMAIL_PASSWORD"
from_addr = "your_email@example.com"
to_addrs = ["your_email@example.com"]
subject_prefix = "[文献推送]"