本研究旨在通过Meta分析探讨饲粮中添加膳食纤维对肉鸡生长性能和肠道健康的影响。通过检索Web of Science、PubMed、中国知网、万方等数据库中2007—2022年关于膳食纤维对肉鸡生长性能和肠道形态影响的试验研究,共筛选到27篇文献,共计5...本研究旨在通过Meta分析探讨饲粮中添加膳食纤维对肉鸡生长性能和肠道健康的影响。通过检索Web of Science、PubMed、中国知网、万方等数据库中2007—2022年关于膳食纤维对肉鸡生长性能和肠道形态影响的试验研究,共筛选到27篇文献,共计5310羽肉鸡。采用Re⁃view Manager 5.3软件对肉鸡平均日增重(ADG)、终末体重(FBW)、平均日采食量(ADFI)、料重比(F/G)和回肠绒毛高度(VH)、隐窝深度(CD)、绒毛高度/隐窝深度(VH/CD)及肌胃相对重量(GRW)进行分析。结果表明:与对照组相比,饲粮中添加膳食纤维显著提高了肉鸡ADG[合并效应值(MD)=1.01,95%置信区间(95%CI)为0.29~1.72,P=0.00600]、FBW(MD=45.05,95%CI为16.68~73.42,P=0.00200)和回肠VH(MD=36.58,95%CI为14.22~58.94,P=0.00100)及GRW(MD=0.16,95%CI为0.11~0.21,P<0.00001);显著降低了肉鸡F/G(MD=-0.04,95%CI为-0.06~-0.01,P=0.00800);而饲粮中添加膳食纤维对肉鸡ADF(MD=0.29,95%CI为-0.59~1.17,P=0.52000)及回肠CD(MD=5.51,95%CI为-1.83~12.86,P=0.14000)、VH/CD(MD=0.06,95%CI为-0.01~0.14,P=0.09000)的影响不显著。亚组分析表明,饲粮中添加不溶性膳食纤维(IDF)可显著提高肉鸡ADG(MD=1.34,95%CI为0.56~2.12,P=0.00070)及回肠VH(MD=50.37,95%CI为24.22~76.51,P=0.00020)、VH/CD(MD=0.25,95%CI为0.17~0.32,P<0.00001),显著降低了F/G(MD=-0.04,95%CI为-0.06~-0.02,P=0.00060);饲粮中添加可溶性膳食纤维(SDF)对肉鸡ADFI(MD=0.71,95%CI为-0.68~2.10,P=0.32000)、ADG(MD=0.69,95%CI为-0.65~2.03,P=0.31000]、F/G(MD=-0.04,95%CI为-0.09~0.01,P=0.09000)及回肠VH(MD=17.00,95%CI为-5.51~39.50,P=0.14000]、CD(MD=3.01,95%CI为-3.10~9.13,P=0.33000)、VH/CD(MD=-0.27,95%CI为-0.79~0.29,P=0.36000)的影响不显著。由此可见,肉鸡饲粮粗纤维含量在1.43%~6.17%时,添加膳食纤维具有改善肉鸡生长性能和肠道健康的作用。与SDF相比,IDF具有更好的提高肉鸡生长性能和肠道健康的作用。展开更多
BACKGROUND Carcinosarcoma of the gallbladder is a rare malignant tumor with a very poor prognosis.To date,only approximately 100 patients have been reported in the English literature.The prognosis of this tumor type i...BACKGROUND Carcinosarcoma of the gallbladder is a rare malignant tumor with a very poor prognosis.To date,only approximately 100 patients have been reported in the English literature.The prognosis of this tumor type is poor,the preoperative diagnosis is difficult,and there is a possibility of a misdiagnosis.We present an unsuccessful case of carcinosarcoma of the gallbladder with a preoperative misdiagnosis and rapid early postoperative recurrence.Therefore,we have a deeper understanding of the poor prognosis of gallbladder carcinosarcoma(GBC)patients.CASE SUMMARY The patient is a 65-year-old male.He was admitted to the hospital because of right upper abdomen distending pain and discomfort for half a month.Abdominal magnetic resonance imaging revealed a polycystic mass in the right lobe of the liver and the fossa of the gallbladder.After admission,the patient was diagnosed with a liver abscess,which was treated by abscess puncture drainage.Obviously,this treatment was unsuccessful.Hepatectomy and cholecystectomy were performed one month after the puncture.Postoperative pathologic examination revealed carcinosarcoma of the gallbladder,and the resected specimen contained two tumor components.One month after surgery,the patient's tumor recurred in situ and started to compress the duodenum,resulting in duodenal obstruction and bleeding.The treatment was not effective.The patient died of gastrointestinal hemorrhage and hypovolemic shock.CONCLUSION Carcinosarcoma of the gallbladder is a rare malignant tumor that is easily misdiagnosed preoperatively and has a poor prognosis.展开更多
BACKGROUND Diabetes is a metabolic disease characterized by hyperglycemia,which has increased the global medical burden and is also the main cause of death in most countries.AIM To understand the knowledge structure o...BACKGROUND Diabetes is a metabolic disease characterized by hyperglycemia,which has increased the global medical burden and is also the main cause of death in most countries.AIM To understand the knowledge structure of global development status,research focus,and future trend of the relationship between diabetes and metabolomics in the past 20 years.METHODS The articles about the relationship between diabetes and metabolomics in the Web of Science Core Collection were retrieved from 2002 to October 23,2023,and the relevant information was analyzed using CiteSpace6.2.2R(CiteSpace),VOSviewer6.1.18(VOSviewer),and Bibliometrix software under R language.RESULTS A total of 3123 publications were included from 2002 to 2022.In the past two decades,the number of publications and citations in this field has continued to increase.The United States,China,Germany,the United Kingdom,and other relevant funds,institutions,and authors have significantly contributed to this field.Scientific Reports and PLoS One are the journals with the most publications and the most citations.Through keyword co-occurrence and cluster analysis,the closely related keywords are"insulin resistance","risk","obesity","oxidative stress","metabolomics","metabolites"and"biomarkers".Keyword clustering included cardiovascular disease,gut microbiota,metabonomics,diabetic nephropathy,molecular docking,gestational diabetes mellitus,oxidative stress,and insulin resistance.Burst detection analysis of keyword depicted that"Gene","microbiota","validation","kidney disease","antioxidant activity","untargeted metabolomics","management",and"accumulation"are knowledge frontiers in recent years.CONCLUSION The relationship between metabolomics and diabetes is receiving extensive attention.Diabetic nephropathy,diabetic cardiovascular disease,and kidney disease are key diseases for future research in this field.Gut microbiota,molecular docking,and untargeted metabolomics are key research directions in the future.Antioxidant activity,gene,validation,mass spectrometry,management,and accumulation are at the forefront of knowledge frontiers in this field.展开更多
The fluctuation of wind power affects the operating safety and power consumption of the electric power grid and restricts the grid connection of wind power on a large scale.Therefore,wind power forecasting plays a key...The fluctuation of wind power affects the operating safety and power consumption of the electric power grid and restricts the grid connection of wind power on a large scale.Therefore,wind power forecasting plays a key role in improving the safety and economic benefits of the power grid.This paper proposes a wind power predicting method based on a convolutional graph attention deep neural network with multi-wind farm data.Based on the graph attention network and attention mechanism,the method extracts spatial-temporal characteristics from the data of multiple wind farms.Then,combined with a deep neural network,a convolutional graph attention deep neural network model is constructed.Finally,the model is trained with the quantile regression loss function to achieve the wind power deterministic and probabilistic prediction based on multi-wind farm spatial-temporal data.A wind power dataset in the U.S.is taken as an example to demonstrate the efficacy of the proposed model.Compared with the selected baseline methods,the proposed model achieves the best prediction performance.The point prediction errors(i.e.,root mean square error(RMSE)and normalized mean absolute percentage error(NMAPE))are 0.304 MW and 1.177%,respectively.And the comprehensive performance of probabilistic prediction(i.e.,con-tinuously ranked probability score(CRPS))is 0.580.Thus,the significance of multi-wind farm data and spatial-temporal feature extraction module is self-evident.展开更多
文摘本研究旨在通过Meta分析探讨饲粮中添加膳食纤维对肉鸡生长性能和肠道健康的影响。通过检索Web of Science、PubMed、中国知网、万方等数据库中2007—2022年关于膳食纤维对肉鸡生长性能和肠道形态影响的试验研究,共筛选到27篇文献,共计5310羽肉鸡。采用Re⁃view Manager 5.3软件对肉鸡平均日增重(ADG)、终末体重(FBW)、平均日采食量(ADFI)、料重比(F/G)和回肠绒毛高度(VH)、隐窝深度(CD)、绒毛高度/隐窝深度(VH/CD)及肌胃相对重量(GRW)进行分析。结果表明:与对照组相比,饲粮中添加膳食纤维显著提高了肉鸡ADG[合并效应值(MD)=1.01,95%置信区间(95%CI)为0.29~1.72,P=0.00600]、FBW(MD=45.05,95%CI为16.68~73.42,P=0.00200)和回肠VH(MD=36.58,95%CI为14.22~58.94,P=0.00100)及GRW(MD=0.16,95%CI为0.11~0.21,P<0.00001);显著降低了肉鸡F/G(MD=-0.04,95%CI为-0.06~-0.01,P=0.00800);而饲粮中添加膳食纤维对肉鸡ADF(MD=0.29,95%CI为-0.59~1.17,P=0.52000)及回肠CD(MD=5.51,95%CI为-1.83~12.86,P=0.14000)、VH/CD(MD=0.06,95%CI为-0.01~0.14,P=0.09000)的影响不显著。亚组分析表明,饲粮中添加不溶性膳食纤维(IDF)可显著提高肉鸡ADG(MD=1.34,95%CI为0.56~2.12,P=0.00070)及回肠VH(MD=50.37,95%CI为24.22~76.51,P=0.00020)、VH/CD(MD=0.25,95%CI为0.17~0.32,P<0.00001),显著降低了F/G(MD=-0.04,95%CI为-0.06~-0.02,P=0.00060);饲粮中添加可溶性膳食纤维(SDF)对肉鸡ADFI(MD=0.71,95%CI为-0.68~2.10,P=0.32000)、ADG(MD=0.69,95%CI为-0.65~2.03,P=0.31000]、F/G(MD=-0.04,95%CI为-0.09~0.01,P=0.09000)及回肠VH(MD=17.00,95%CI为-5.51~39.50,P=0.14000]、CD(MD=3.01,95%CI为-3.10~9.13,P=0.33000)、VH/CD(MD=-0.27,95%CI为-0.79~0.29,P=0.36000)的影响不显著。由此可见,肉鸡饲粮粗纤维含量在1.43%~6.17%时,添加膳食纤维具有改善肉鸡生长性能和肠道健康的作用。与SDF相比,IDF具有更好的提高肉鸡生长性能和肠道健康的作用。
文摘BACKGROUND Carcinosarcoma of the gallbladder is a rare malignant tumor with a very poor prognosis.To date,only approximately 100 patients have been reported in the English literature.The prognosis of this tumor type is poor,the preoperative diagnosis is difficult,and there is a possibility of a misdiagnosis.We present an unsuccessful case of carcinosarcoma of the gallbladder with a preoperative misdiagnosis and rapid early postoperative recurrence.Therefore,we have a deeper understanding of the poor prognosis of gallbladder carcinosarcoma(GBC)patients.CASE SUMMARY The patient is a 65-year-old male.He was admitted to the hospital because of right upper abdomen distending pain and discomfort for half a month.Abdominal magnetic resonance imaging revealed a polycystic mass in the right lobe of the liver and the fossa of the gallbladder.After admission,the patient was diagnosed with a liver abscess,which was treated by abscess puncture drainage.Obviously,this treatment was unsuccessful.Hepatectomy and cholecystectomy were performed one month after the puncture.Postoperative pathologic examination revealed carcinosarcoma of the gallbladder,and the resected specimen contained two tumor components.One month after surgery,the patient's tumor recurred in situ and started to compress the duodenum,resulting in duodenal obstruction and bleeding.The treatment was not effective.The patient died of gastrointestinal hemorrhage and hypovolemic shock.CONCLUSION Carcinosarcoma of the gallbladder is a rare malignant tumor that is easily misdiagnosed preoperatively and has a poor prognosis.
基金Supported by National Natural Science Foundation of China,No.U21A20411and the Graduate Research and Innovation Project of Hunan Province,No.CX20220772.
文摘BACKGROUND Diabetes is a metabolic disease characterized by hyperglycemia,which has increased the global medical burden and is also the main cause of death in most countries.AIM To understand the knowledge structure of global development status,research focus,and future trend of the relationship between diabetes and metabolomics in the past 20 years.METHODS The articles about the relationship between diabetes and metabolomics in the Web of Science Core Collection were retrieved from 2002 to October 23,2023,and the relevant information was analyzed using CiteSpace6.2.2R(CiteSpace),VOSviewer6.1.18(VOSviewer),and Bibliometrix software under R language.RESULTS A total of 3123 publications were included from 2002 to 2022.In the past two decades,the number of publications and citations in this field has continued to increase.The United States,China,Germany,the United Kingdom,and other relevant funds,institutions,and authors have significantly contributed to this field.Scientific Reports and PLoS One are the journals with the most publications and the most citations.Through keyword co-occurrence and cluster analysis,the closely related keywords are"insulin resistance","risk","obesity","oxidative stress","metabolomics","metabolites"and"biomarkers".Keyword clustering included cardiovascular disease,gut microbiota,metabonomics,diabetic nephropathy,molecular docking,gestational diabetes mellitus,oxidative stress,and insulin resistance.Burst detection analysis of keyword depicted that"Gene","microbiota","validation","kidney disease","antioxidant activity","untargeted metabolomics","management",and"accumulation"are knowledge frontiers in recent years.CONCLUSION The relationship between metabolomics and diabetes is receiving extensive attention.Diabetic nephropathy,diabetic cardiovascular disease,and kidney disease are key diseases for future research in this field.Gut microbiota,molecular docking,and untargeted metabolomics are key research directions in the future.Antioxidant activity,gene,validation,mass spectrometry,management,and accumulation are at the forefront of knowledge frontiers in this field.
基金supported by the Science and Technology Project of State Grid Corporation of China(4000-202122070A-0-0-00).
文摘The fluctuation of wind power affects the operating safety and power consumption of the electric power grid and restricts the grid connection of wind power on a large scale.Therefore,wind power forecasting plays a key role in improving the safety and economic benefits of the power grid.This paper proposes a wind power predicting method based on a convolutional graph attention deep neural network with multi-wind farm data.Based on the graph attention network and attention mechanism,the method extracts spatial-temporal characteristics from the data of multiple wind farms.Then,combined with a deep neural network,a convolutional graph attention deep neural network model is constructed.Finally,the model is trained with the quantile regression loss function to achieve the wind power deterministic and probabilistic prediction based on multi-wind farm spatial-temporal data.A wind power dataset in the U.S.is taken as an example to demonstrate the efficacy of the proposed model.Compared with the selected baseline methods,the proposed model achieves the best prediction performance.The point prediction errors(i.e.,root mean square error(RMSE)and normalized mean absolute percentage error(NMAPE))are 0.304 MW and 1.177%,respectively.And the comprehensive performance of probabilistic prediction(i.e.,con-tinuously ranked probability score(CRPS))is 0.580.Thus,the significance of multi-wind farm data and spatial-temporal feature extraction module is self-evident.
