Polyphenols,a diverse group of naturally occurring compounds found in plants,have garnered significant attention for their potential therapeutic properties in treating neurodegenerative diseases(NDs).The Wnt/β-cateni...Polyphenols,a diverse group of naturally occurring compounds found in plants,have garnered significant attention for their potential therapeutic properties in treating neurodegenerative diseases(NDs).The Wnt/β-catenin(WβC)signaling pathway,a crucial player in neurogenesis,neuronal survival,and synaptic plasticity,is involved in several cellular mechanisms related to NDs.Dysregulation of this pathway is a hallmark in the development of various NDs.This study explores multiple polyphenolic compounds,such as flavonoids,stilbenes,lignans,and phenolic acids,and their potential to protect the nervous system.It provides a comprehensive analysis of their effects on the WβC pathway,elucidating their modes of action.The study highlights the dual function of polyphenols in regulating and protecting the nervous system,providing reassurance about the research benefits.This review provides a comprehensive analysis of the results obtained from both in vitro studies and in vivo research,shedding light on how these substances influence the various components of the pathway.The focus is mainly on the molecular mechanisms that allow polyphenols to reduce oxidative stress,inflammation,and apoptotic processes,ultimately improving the function and survival of neurons.This study aims to offer a thorough understanding of the potential of polyphenols in targeting the WβC signaling pathway,which could lead to the development of innovative therapeutic options for NDs.展开更多
针对锅炉过热汽温系统存在的大时延、强非线性和变量耦合等建模难题,建立了一种基于贝叶斯优化时间序列预测神经基扩展分析(neural basis expansion analysis for interpretable time series forecasting,N-BEATS)网络的过热汽温预测模...针对锅炉过热汽温系统存在的大时延、强非线性和变量耦合等建模难题,建立了一种基于贝叶斯优化时间序列预测神经基扩展分析(neural basis expansion analysis for interpretable time series forecasting,N-BEATS)网络的过热汽温预测模型。针对某600 MW超临界火电机组,结合机理分析确定模型的输入和输出变量,通过性能对比实验优化模型的输入/输出时延阶次、Block类型和激活函数,进一步利用贝叶斯优化算法对模型的超参数进行寻优,并与网格搜索、遗传算法的优化效果进行对比。采用该机组仿真运行数据进行建模实验,结果表明所提模型在预测精度方面优于传统优化方法及主流模型。展开更多
High-entropy alloy(HEA)nanoparticles(NPs)have attracted great attention in electrocatalysis due to their tailorable complex compositions and unique properties.Herein,we introduce Fe,Co,Ni,Cr and Mn into the metal-poly...High-entropy alloy(HEA)nanoparticles(NPs)have attracted great attention in electrocatalysis due to their tailorable complex compositions and unique properties.Herein,we introduce Fe,Co,Ni,Cr and Mn into the metal-polyphenol coordination system to prepare HEA NPs enclosed in N-doped carbon(FeCoNiCrMn)with great potential for catalyzing oxygen reduction reaction(ORR)and oxygen evolution reaction(OER).The unique high-entropy structural characteristics in FeCoNiCrMn facilitate effective interplay between metal species,leading to improved ORR(E_(1/2)=0.89 V)and OER(η=330 mV,j=10 mA·cm^(−2))activity.Additionally,FeCoNiCrMn exhibits excellent open-circuit voltage(1.523 V),power density(110 mW·cm^(−2))and long-term durability,outperforming Pt/C+IrO_(2) electrodes as a cathode catalyst in Zn-air batteries(ZABs).Such polyphenol-assisted alloying method broadens and simplifies the development of HEA electrocatalysts for high-performance ZABs.展开更多
Quinoa is pseudo cereal and considered as full nutritional food for its functional ingredients such as peptides,polysaccharides,saponins and polyphenols.Up to now,over 20 phenolic compounds have been reported in quino...Quinoa is pseudo cereal and considered as full nutritional food for its functional ingredients such as peptides,polysaccharides,saponins and polyphenols.Up to now,over 20 phenolic compounds have been reported in quinoa,and these polyphenols are related to anti-cancer,anti-inflammatory,anti-obesity,anti-diabetic and cardioprotective activities.Recently,more and more attentions are focused on quinoa in the food and pharmaceutical fields.Many new products such as bakery,beverage and meat product made from quinoa are popular in the market.This article presents a review of the literature on the function and application of polyphenols in quinoa.The review will benefit the researchers working with nutrition,functional diets of quinoa.展开更多
基金financially supporting this work through the Large Research Group Project under Grant no.R.G.P.2/509/45
文摘Polyphenols,a diverse group of naturally occurring compounds found in plants,have garnered significant attention for their potential therapeutic properties in treating neurodegenerative diseases(NDs).The Wnt/β-catenin(WβC)signaling pathway,a crucial player in neurogenesis,neuronal survival,and synaptic plasticity,is involved in several cellular mechanisms related to NDs.Dysregulation of this pathway is a hallmark in the development of various NDs.This study explores multiple polyphenolic compounds,such as flavonoids,stilbenes,lignans,and phenolic acids,and their potential to protect the nervous system.It provides a comprehensive analysis of their effects on the WβC pathway,elucidating their modes of action.The study highlights the dual function of polyphenols in regulating and protecting the nervous system,providing reassurance about the research benefits.This review provides a comprehensive analysis of the results obtained from both in vitro studies and in vivo research,shedding light on how these substances influence the various components of the pathway.The focus is mainly on the molecular mechanisms that allow polyphenols to reduce oxidative stress,inflammation,and apoptotic processes,ultimately improving the function and survival of neurons.This study aims to offer a thorough understanding of the potential of polyphenols in targeting the WβC signaling pathway,which could lead to the development of innovative therapeutic options for NDs.
文摘针对锅炉过热汽温系统存在的大时延、强非线性和变量耦合等建模难题,建立了一种基于贝叶斯优化时间序列预测神经基扩展分析(neural basis expansion analysis for interpretable time series forecasting,N-BEATS)网络的过热汽温预测模型。针对某600 MW超临界火电机组,结合机理分析确定模型的输入和输出变量,通过性能对比实验优化模型的输入/输出时延阶次、Block类型和激活函数,进一步利用贝叶斯优化算法对模型的超参数进行寻优,并与网格搜索、遗传算法的优化效果进行对比。采用该机组仿真运行数据进行建模实验,结果表明所提模型在预测精度方面优于传统优化方法及主流模型。
基金supported by the Fundamental Research Funds for the Central Universities(No.22120230104).
文摘High-entropy alloy(HEA)nanoparticles(NPs)have attracted great attention in electrocatalysis due to their tailorable complex compositions and unique properties.Herein,we introduce Fe,Co,Ni,Cr and Mn into the metal-polyphenol coordination system to prepare HEA NPs enclosed in N-doped carbon(FeCoNiCrMn)with great potential for catalyzing oxygen reduction reaction(ORR)and oxygen evolution reaction(OER).The unique high-entropy structural characteristics in FeCoNiCrMn facilitate effective interplay between metal species,leading to improved ORR(E_(1/2)=0.89 V)and OER(η=330 mV,j=10 mA·cm^(−2))activity.Additionally,FeCoNiCrMn exhibits excellent open-circuit voltage(1.523 V),power density(110 mW·cm^(−2))and long-term durability,outperforming Pt/C+IrO_(2) electrodes as a cathode catalyst in Zn-air batteries(ZABs).Such polyphenol-assisted alloying method broadens and simplifies the development of HEA electrocatalysts for high-performance ZABs.
文摘Quinoa is pseudo cereal and considered as full nutritional food for its functional ingredients such as peptides,polysaccharides,saponins and polyphenols.Up to now,over 20 phenolic compounds have been reported in quinoa,and these polyphenols are related to anti-cancer,anti-inflammatory,anti-obesity,anti-diabetic and cardioprotective activities.Recently,more and more attentions are focused on quinoa in the food and pharmaceutical fields.Many new products such as bakery,beverage and meat product made from quinoa are popular in the market.This article presents a review of the literature on the function and application of polyphenols in quinoa.The review will benefit the researchers working with nutrition,functional diets of quinoa.
