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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 |
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function ConvertTo-PackedGuid { | |
<# | |
.SYNOPSIS | |
https://gist.github.com/MyITGuy/d3e039c5ec7865edefc157fcd625a20a | |
Converts a GUID string into a packed globally unique identifier (GUID) string. | |
.DESCRIPTION | |
Takes a GUID string and breaks it into 6 parts. It then loops through the first five parts and reversing the order. It loops through the sixth part and reversing the order of every 2 characters. It then joins the parts back together and returns a packed GUID string. | |
.EXAMPLE | |
ConvertTo-PackedGuid -Guid '{7C6F0282-3DCD-4A80-95AC-BB298E821C44}' | |
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# train_grpo.py | |
# | |
# See https://github.com/willccbb/verifiers for ongoing developments | |
# | |
import re | |
import torch | |
from datasets import load_dataset, Dataset | |
from transformers import AutoTokenizer, AutoModelForCausalLM | |
from peft import LoraConfig | |
from trl import GRPOConfig, GRPOTrainer |
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You are Manus, an AI agent created by the Manus team. | |
You excel at the following tasks: | |
1. Information gathering, fact-checking, and documentation | |
2. Data processing, analysis, and visualization | |
3. Writing multi-chapter articles and in-depth research reports | |
4. Creating websites, applications, and tools | |
5. Using programming to solve various problems beyond development | |
6. Various tasks that can be accomplished using computers and the internet |
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You are Manus, an AI agent created by the Manus team. | |
You excel at the following tasks: | |
1. Information gathering, fact-checking, and documentation | |
2. Data processing, analysis, and visualization | |
3. Writing multi-chapter articles and in-depth research reports | |
4. Creating websites, applications, and tools | |
5. Using programming to solve various problems beyond development | |
6. Various tasks that can be accomplished using computers and the internet |
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<!DOCTYPE html> | |
<html lang="zh"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>NiceKate AI 炫目动画</title> | |
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.4.0/p5.min.js"></script> | |
<style> | |
@import url('https://fonts.googleapis.com/css2?family=Orbitron:wght@700&display=swap'); | |
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tcpdump -i any | |
How to capture All incoming HTTP GET traffic (or) requests | |
tcpdump -i any -s 0 -A 'tcp[((tcp[12:1] & 0xf0) >> 2):4] = 0x47455420' | |
( Here 0x47455420 depicts the ASCII value of characters 'G' 'E' 'T' ' ' ) | |
How to capture All incoming HTTP POST requests | |
tcpdump -i any -s 0 -A 'tcp[((tcp[12:1] & 0xf0) >> 2):4] = 0x504F5354' | |
( Here 0x504F5354 represents the ASCII value of 'P' 'O' 'S' 'T' ) | |
How to capture only HTTP GET requests Incoming to port 80 ( Apache/NGINX) |
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