| In addition to a significant decrease in hepatic lipid accumulation in the IOE group, which inhibited energy intake by propionate enrichment, hepatic lipids were also significantly reduced in the mice in the IOP group, which was largely enriched with butyrate. Compared with the IOE group, IOP had a stronger regulatory effect on hepatic metabolism and triglyceride metabolism and higher levels of TCA cycle in the host. In addition, butyrate has the ability to promote browning of white adipose tissue (WAT) to brown adipose tissue (BAT).^[@ref39],[@ref40]^ WAT stores energy, whereas BAT uses energy for heating and consequently host energy expenditure increases.^[@ref41],[@ref42]^ However, adipose tissue weight does not change after WAT browning.^[@ref43]^ Therefore, the weight of adipose tissue of mice in the IOP group dominated by butyrate was greater than that of the mice in the IOE group dominated by propionate. | |
| In conclusion ([Figure [7](#fig7){ref-type="fig"}](#fig7){ref-type="fig"}C), the improvement of ob |
| import pandas as pd | |
| import hvplot.pandas | |
| import panel as pn | |
| pn.extension(sizing_mode="stretch_width") | |
| PALETTE = [ | |
| "#ff6f69", | |
| "#ffcc5c", | |
| "#88d8b0", |
| <html> | |
| <head></head> | |
| <body> | |
| <p> | |
| <b>How to use this tool:</b> In Chrome, open Session Buddy. Click on the gear at the top-right, and select "Export". | |
| </p> | |
| <p> | |
| In the export dialog, select "JSON" as the export type, and be sure to select both "Sessions" and "Windows" in the "Show" options. | |
| </p> | |
| <p> |
| // License: WTFPL | |
| <div id="loadingMask" style="width: 100%; height: 100%; position: fixed; background: #fff;"></div> | |
| <script> | |
| function fadeOut(el) { | |
| el.style.opacity = 1; | |
| var last = +new Date(); | |
| var tick = function() { | |
| el.style.opacity = +el.style.opacity - (new Date() - last) / 80; | |
| last = +new Date(); |
| # -*- coding: utf-8 -*- | |
| ## Copyright (C) 2021 Valentin Lab | |
| ## | |
| ## Redistribution and use in source and binary forms, with or without | |
| ## modification, are permitted provided that the following conditions | |
| ## are met: | |
| ## | |
| ## 1. Redistributions of source code must retain the above copyright | |
| ## notice, this list of conditions and the following disclaimer. |
| # Author: | |
| # Linwood Creekmore III | |
| # email: [email protected] | |
| # Acknowledgements: | |
| # http://programmingadvent.blogspot.com/2013/06/kmzkml-file-parsing-with-python.html | |
| # http://gis.stackexchange.com/questions/159681/geopandas-cant-save-geojson | |
| # https://gist.github.com/mciantyre/32ff2c2d5cd9515c1ee7 |
| import os | |
| import argparse | |
| import nibabel as nib | |
| def build_argparser(): | |
| DESCRIPTION = "Convert tractograms (TRK -> TCK)." | |
| p = argparse.ArgumentParser(description=DESCRIPTION) | |
| p.add_argument('tractograms', metavar='bundle', nargs="+", help='list of tractograms.') | |
| p.add_argument('-f', '--force', action="store_true", help='overwrite existing output files.') |
| import json, sys, numpy as np | |
| from scipy import misc, signal | |
| from PIL import Image | |
| infile, outfile, modelpath = sys.argv[1:] | |
| model = json.load(open(modelpath)) | |
| im = Image.open(infile).convert("YCbCr") | |
| im = misc.fromimage(im.resize((2*im.size[0], 2*im.size[1]), resample=Image.NEAREST)).astype("float32") | |
| planes = [np.pad(im[:,:,0], len(model), "edge") / 255.0] | |
| for step in model: | |
| o_planes = [sum([signal.convolve2d(ip, np.float32(kernel), "valid") |
#Demo
##About The demo is meant to show how to make an automated answer to a hn comment, translated from Norwegian to English with these steps:
