bartowski1182

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

moyix

import json
import argparse
import html
import os
from datetime import datetime

def generate_html(json_file, html_file="chat.html", metadata=None, date=None):
    with open(json_file, 'r') as file:
        data = json.load(file)

0xdevalias

Generating Synth Patches with AI

Table of Contents

• People Worth Following / Watching
• Generating Synth Patches with AI
• Audio Datasets
• AI Synths / Plugins / etc
• Synths

twobob

from PIL import Image
from PIL import ImageFont
from PIL import ImageDraw 
import math
#Self contain this for easy single clicking
from PIL import Image
def image_grid(imgs, rows, cols):
    #assert len(imgs) == rows*cols
    w, h = imgs[0].size
    grid = Image.new('RGB', size=(cols*w, rows*h))

xshazwar

using System;
using System.Collections.Concurrent;
using System.Threading.Tasks;

using Den.Tools;
using Den.Tools.GUI;
using Den.Tools.Matrices;
using MapMagic.Products;
using MapMagic.Nodes;

pojda

#!/usr/bin/env python
# coding: utf-8

# You need PIL <http://www.pythonware.com/products/pil/> to run this script
# Download unifont.ttf from <http://unifoundry.com/unifont.html> (or use
# any TTF you have)
# Copyright 2011 Álvaro Justen [alvarojusten at gmail dot com]
# License: GPL <http://www.gnu.org/copyleft/gpl.html>

from image_utils import ImageText

p3jitnath

How to install OpenCV 4.2.0 with CUDA 10.1 on Ubuntu 20.04 LTS (Focal Fossa)

Install updates and upgrade your system:

    $ sudo apt update
    $ sudo apt upgrade

Install required libraries:

arturo182

<!--XSL style sheet to convert EESCHEMA XML Partlist Format to grouped CSV BOM Format
    Copyright (C) 2014, Wolf Walter.
    Copyright (C) 2013, Stefan Helmert.
    Copyright (C) 2018, Kicad developers.
    Copyright (C) 2019, arturo182.
    GPL v2.

	Functionality:
		Generation of JLCPCB PCBA compatible BOM

carrierdown

function debugLog(/* ... args */) {
    var result = "";
    for (var i = 0; i < arguments.length; i++) {
        result += (i !== 0 && i < arguments.length ? " " : "") + debugPost(arguments[i], "");
    }
    post(result + "\r\n");
}

function debugPost(val, res) {
    if (Array.isArray(val)) {

samarthbhargav

python -c "import torch; print(torch.cuda.is_available())"