Echinococcosis is a zoonotic disease caused by parasites belonging to the genus Echinococcus that primarily affect the liver.The western plateau and pastoral areas of China are high-risk regions for hepatic cystic ech...Echinococcosis is a zoonotic disease caused by parasites belonging to the genus Echinococcus that primarily affect the liver.The western plateau and pastoral areas of China are high-risk regions for hepatic cystic echinococcosis and hepatic alveolar echinococcosis(HAE).The high late mortality rate associated with HAE underscores the critical need for early diagnosis to improve cure rates and mitigate the disease burden in endemic areas.Currently,the World Health Orga-nization recommends ultrasonography as the preferred initial screening method for hepatic echinococcosis.However,distinguishing between specific types of lesions,such as those of hepatic cystic echinococcosis and HAE,and other focal liver lesions is challenging.To address this issue,contrast-enhanced ultrasound is recommended as a tool to differentiate solid and cysto-solid hepatic echino-coccosis from other focal liver lesions,significantly enhancing diagnostic accuracy.In this comprehensive review,we discuss the progression of hepatic echinococcosis and detail the imaging features of various types of echinococcosis using conventional,contrast-enhanced,and intraoperative ultrasound techniques.Our objective is to provide robust imaging evidence and guidance for early diagnosis,clinical decision making,and postoperative follow-up in regions with high disease prevalence.展开更多
The stock market is a vital component of the broader financial system,with its dynamics closely linked to economic growth.The challenges associated with analyzing and forecasting stock prices have persisted since the ...The stock market is a vital component of the broader financial system,with its dynamics closely linked to economic growth.The challenges associated with analyzing and forecasting stock prices have persisted since the inception of financial markets.By examining historical transaction data,latent opportunities for profit can be uncovered,providing valuable insights for both institutional and individual investors to make more informed decisions.This study focuses on analyzing historical transaction data from four banks to predict closing price trends.Various models,including decision trees,random forests,and Long Short-Term Memory(LSTM)networks,are employed to forecast stock price movements.Historical stock transaction data serves as the input for training these models,which are then used to predict upward or downward stock price trends.The study’s empirical results indicate that these methods are effective to a degree in predicting stock price movements.The LSTM-based deep neural network model,in particular,demonstrates a commendable level of predictive accuracy.This conclusion is reached following a thorough evaluation of model performance,highlighting the potential of LSTM models in stock market forecasting.The findings offer significant implications for advancing financial forecasting approaches,thereby improving the decision-making capabilities of investors and financial institutions.展开更多
With the continuous deepening of China’s rural construction and development,people’s living conditions are improved day by day,while accompanied by energy and environment crisis issues.This paper mainly analyzes the...With the continuous deepening of China’s rural construction and development,people’s living conditions are improved day by day,while accompanied by energy and environment crisis issues.This paper mainly analyzes the energy consumption pattern and the indoor environment of rural households in China and discusses the energy-saving optimization strategies for improving the thermal environment of buildings.Questionnaire surveys and field surveys were conducted in three villages in Guanghan,China.The measurement results show that the annual indoor temperature range of the region in the summer is 15-31℃and the relative humidity range is 34%-96%.The average indoor temperatures in summer and winter are 28℃and 16℃respectively.The indoor thermal environment of rural buildings is usually poor and cannot meet the requirements of Chinese standards.At the same time,the architectural design and energy consumption pattern of rural households are different from those in urban areas as countryside has unique characteristics.Finally,we put forward certain energy-saving improvement measures at the end of the article.展开更多
Summary of main observation and conclusion Described herein is an organocatalytic enantioselective protonation of monofluorinated silyl enol ethers,affording an array of optically active α-secondary α-fluoroketones ...Summary of main observation and conclusion Described herein is an organocatalytic enantioselective protonation of monofluorinated silyl enol ethers,affording an array of optically active α-secondary α-fluoroketones in good to high yields and enantioselectivities,under the catalysis of bifunctional cinchonidine derived squaramide C4.It represents a rare example of facile synthesis of enantioenriched α-secondary α-fluoroketones.With D20 as the deuterium source and MeOD as the solvent,the first highly enantioselective preparation of chiral α-deuterated α-fluoroketones in >92% deuteration is developed.展开更多
文摘Echinococcosis is a zoonotic disease caused by parasites belonging to the genus Echinococcus that primarily affect the liver.The western plateau and pastoral areas of China are high-risk regions for hepatic cystic echinococcosis and hepatic alveolar echinococcosis(HAE).The high late mortality rate associated with HAE underscores the critical need for early diagnosis to improve cure rates and mitigate the disease burden in endemic areas.Currently,the World Health Orga-nization recommends ultrasonography as the preferred initial screening method for hepatic echinococcosis.However,distinguishing between specific types of lesions,such as those of hepatic cystic echinococcosis and HAE,and other focal liver lesions is challenging.To address this issue,contrast-enhanced ultrasound is recommended as a tool to differentiate solid and cysto-solid hepatic echino-coccosis from other focal liver lesions,significantly enhancing diagnostic accuracy.In this comprehensive review,we discuss the progression of hepatic echinococcosis and detail the imaging features of various types of echinococcosis using conventional,contrast-enhanced,and intraoperative ultrasound techniques.Our objective is to provide robust imaging evidence and guidance for early diagnosis,clinical decision making,and postoperative follow-up in regions with high disease prevalence.
文摘The stock market is a vital component of the broader financial system,with its dynamics closely linked to economic growth.The challenges associated with analyzing and forecasting stock prices have persisted since the inception of financial markets.By examining historical transaction data,latent opportunities for profit can be uncovered,providing valuable insights for both institutional and individual investors to make more informed decisions.This study focuses on analyzing historical transaction data from four banks to predict closing price trends.Various models,including decision trees,random forests,and Long Short-Term Memory(LSTM)networks,are employed to forecast stock price movements.Historical stock transaction data serves as the input for training these models,which are then used to predict upward or downward stock price trends.The study’s empirical results indicate that these methods are effective to a degree in predicting stock price movements.The LSTM-based deep neural network model,in particular,demonstrates a commendable level of predictive accuracy.This conclusion is reached following a thorough evaluation of model performance,highlighting the potential of LSTM models in stock market forecasting.The findings offer significant implications for advancing financial forecasting approaches,thereby improving the decision-making capabilities of investors and financial institutions.
基金supported by the China National Key R&D Program(Grant No.2018YFC0704400)Technology Achievements Transfor-mation Fund Project from Sichuan Science and Technology Department(#2018YSZH0010).
文摘With the continuous deepening of China’s rural construction and development,people’s living conditions are improved day by day,while accompanied by energy and environment crisis issues.This paper mainly analyzes the energy consumption pattern and the indoor environment of rural households in China and discusses the energy-saving optimization strategies for improving the thermal environment of buildings.Questionnaire surveys and field surveys were conducted in three villages in Guanghan,China.The measurement results show that the annual indoor temperature range of the region in the summer is 15-31℃and the relative humidity range is 34%-96%.The average indoor temperatures in summer and winter are 28℃and 16℃respectively.The indoor thermal environment of rural buildings is usually poor and cannot meet the requirements of Chinese standards.At the same time,the architectural design and energy consumption pattern of rural households are different from those in urban areas as countryside has unique characteristics.Finally,we put forward certain energy-saving improvement measures at the end of the article.
基金support from the National Natural Science Foundation of China (No.21725203).
文摘Summary of main observation and conclusion Described herein is an organocatalytic enantioselective protonation of monofluorinated silyl enol ethers,affording an array of optically active α-secondary α-fluoroketones in good to high yields and enantioselectivities,under the catalysis of bifunctional cinchonidine derived squaramide C4.It represents a rare example of facile synthesis of enantioenriched α-secondary α-fluoroketones.With D20 as the deuterium source and MeOD as the solvent,the first highly enantioselective preparation of chiral α-deuterated α-fluoroketones in >92% deuteration is developed.
