The present study examines the impact of short-term public opinion sentiment on the secondary market,with a focus on the potential for such sentiment to cause dramatic stock price fluctuations and increase investment ...The present study examines the impact of short-term public opinion sentiment on the secondary market,with a focus on the potential for such sentiment to cause dramatic stock price fluctuations and increase investment risk.The quantification of investment sentiment indicators and the persistent analysis of their impact has been a complex and significant area of research.In this paper,a structured multi-head attention stock index prediction method based adaptive public opinion sentiment vector is proposed.The proposedmethod utilizes an innovative approach to transform numerous investor comments on social platforms over time into public opinion sentiment vectors expressing complex sentiments.It then analyzes the continuous impact of these vectors on the market through the use of aggregating techniques and public opinion data via a structured multi-head attention mechanism.The experimental results demonstrate that the public opinion sentiment vector can provide more comprehensive feedback on market sentiment than traditional sentiment polarity analysis.Furthermore,the multi-head attention mechanism is shown to improve prediction accuracy through attention convergence on each type of input information separately.Themean absolute percentage error(MAPE)of the proposedmethod is 0.463%,a reduction of 0.294% compared to the benchmark attention algorithm.Additionally,the market backtesting results indicate that the return was 24.560%,an improvement of 8.202% compared to the benchmark algorithm.These results suggest that themarket trading strategy based on thismethod has the potential to improve trading profits.展开更多
BACKGROUND Remimazolam is characterized by rapid action and inactive metabolites.It is used as the general anesthetic for many clinical surgeries.In this study,we performed a meta-analysis to evaluate whether remimazo...BACKGROUND Remimazolam is characterized by rapid action and inactive metabolites.It is used as the general anesthetic for many clinical surgeries.In this study,we performed a meta-analysis to evaluate whether remimazolam is superior to propofol for gastroenteroscopy in older patients.AIM To compare the adverse events and efficacy of remimazolam and propofol during gastroenteroscopy in older adults.METHODS The PubMed,Web of Science,the Cochrane Library databases were queried for the relevant key words"remimazolam,""and propofol,""and gastrointestinal endoscopy or gastroscopy."The search scope was"Title and Abstract,"and the search was limited to human studies and publications in English.Seven studies wherein remimazolam and propofol were compared were included for the metaanalysis.RESULTS We selected seven randomized controlled trials involving 1445 cases for the analysis.Remimazolam reduced the hypotension(relative risk,RR=0.44,95%CI:0.29-0.66,P=0.000),respiratory depression(RR=0.46,95%CI:0.30-0.70,P=0.000),injection pain(RR=0.12,95%CI:0.05-0.25,P=0.000),bradycardia(RR=0.37,95%CI:0.24-0.58,P=0.000),and time to discharge[weighted mean difference(WMD)=-0.58,95%CI:-0.97 to-0.18,P=0.005],compared to those after propofol administration.No obvious differences were observed for postoperative nausea and vomiting(RR=1.09,95%CI:0.97-1.24,P=0.151),dizziness(RR=0.77,95%CI:0.43-1.36,P=0.361),successful sedation rate(RR=0.96,95%CI:0.93-1.00,P=0.083),or the time to become fully alert(WMD=0.00,95%CI:-1.08-1.08,P=0.998).CONCLUSION Remimazolam appears to be safer than propofol for gastroenteroscopy in older adults.However,further studies are required to confirm these findings.展开更多
BACKGROUND Remimazolam is a new benzodiazepine used for procedural sedation and general anesthesia.Several studies have used remimazolam for bendable bronchoscopy.AIM To assess the safety and efficacy of remimazolam f...BACKGROUND Remimazolam is a new benzodiazepine used for procedural sedation and general anesthesia.Several studies have used remimazolam for bendable bronchoscopy.AIM To assess the safety and efficacy of remimazolam for sedation in patients undergoing bendable bronchoscopy by performing a meta-analysis of randomized controlled trials(RCTs).METHODS We searched the EMBASE,PubMed,Cochrane Library,and Web of Science databases for RCTs on bendable bronchoscopic procedural sedation with remimazolam vs conventional sedatives(CS).RESULTS Five studies with 1080 cases were included.Remimazolam had the same sedation success rate compared with CS[relative risk(RR):1.35,95%CI:0.60-3.05,P=0.474,I2=99.6%].However,remimazolam was associated with a lower incidence of hypotension(RR:0.61;95%CI:0.40-0.95,P=0.027;I2=65.1%)and a lower incidence of respiratory depression(RR:0.50,95%CI:0.33-0.77,P=0.002,I2=42.3%).A subgroup analysis showed a higher success rate of sedation with remimazolam than midazolam(RR:2.45,95%CI:1.76-3.42,P<0.001).Compared with propofol,the incidence of hypotension(RR:0.45,95%CI:0.32-0.64,P<0.001,I2=0.0%),respiratory depression(RR:0.48,95%CI:0.30-0.76,P=0.002,I2=78.4%),hypoxemia(RR:0.36,95%CI:0.15-0.87,P=0.023),and injection pain(RR:0.04,95%CI:0.01-0.28,P=0.001)were lower.CONCLUSION Remimazolam is safe and effective during bronchoscopy.The sedation success rate was similar to that in the CS group.However,remimazolam has a higher safety profile,with fewer inhibitory effects on respiration and circulation.展开更多
针对危险化学品实体识别及关系识别的问题,本文基于双向长短期记忆网络连接条件随机场(Bidirectional Long Short-Term Memory with Conditional Random Field,BiLSTM-CRF)模型,通过引入双向编码器表示(Bidirectional Encoder Represent...针对危险化学品实体识别及关系识别的问题,本文基于双向长短期记忆网络连接条件随机场(Bidirectional Long Short-Term Memory with Conditional Random Field,BiLSTM-CRF)模型,通过引入双向编码器表示(Bidirectional Encoder Representation from Transformers,BERT)模型结合多头自注意力机制,提出了一种预训练命名实体模型BERT-BiLSTM-self-Attention-CRF,通过对危险化学品的文本进行字符级别编码,得到基于上下文信息的字向量,增强了模型挖掘文本全局和局部特征的能力。实验结果表明,在自行构建的数据集上,本文模型优于其他传统模型,其F1值为94.57%。展开更多
The control of carbon emissions and energy conservation,and environmental protection are hot spots of global concern.In this paper,phase change paraffin wax is applied to porous materials for adsorption and storage,an...The control of carbon emissions and energy conservation,and environmental protection are hot spots of global concern.In this paper,phase change paraffin wax is applied to porous materials for adsorption and storage,and nature’s eco-friendly materials are selected as the porous matrix to propose an eco-friendly phase change concrete using eco-friendly materials as raw materials.It was obtained that the strength of the phase change concrete utilizing environmentally friendly materials was 25.4%to 36.8%lower than that of ordinary concrete,while some of the phase change light aggregates were found to produce slip damage with the cement paste in the damage study.By constructing a small-sized test room for thermal properties,we obtained a phase change concrete that utilizes environmentally friendly materials to control the temperature better than the commonly studied phase change concrete,with a peak temperature drop of up to 2.6℃ in the phase change test room compared to the normal test room and a delay in the peak temperature.展开更多
Rule-based portfolio construction strategies are rising as investmentdemand grows, and smart beta strategies are becoming a trend amonginstitutional investors. Smart beta strategies have high transparency, lowmanageme...Rule-based portfolio construction strategies are rising as investmentdemand grows, and smart beta strategies are becoming a trend amonginstitutional investors. Smart beta strategies have high transparency, lowmanagement costs, and better long-term performance, but are at the risk ofsevere short-term declines due to a lack of Risk Control tools. Although thereare some methods to use historical volatility for Risk Control, it is still difficultto adapt to the rapid switch of market styles. How to strengthen the RiskControl management of the portfolio while maintaining the original advantagesof smart beta has become a new issue of concern in the industry. Thispaper demonstrates the scientific validity of using a probability prediction forposition optimization through an optimization theory and proposes a novelnatural gradient boosting (NGBoost)-based portfolio optimization method,which predicts stock prices and their probability distributions based on non-Bayesian methods and maximizes the Sharpe ratio expectation of positionoptimization. This paper validates the effectiveness and practicality of themodel by using the Chinese stock market, and the experimental results showthat the proposed method in this paper can reduce the volatility by 0.08 andincrease the expected portfolio cumulative return (reaching a maximum of67.1%) compared with the mainstream methods in the industry.展开更多
基金funded by the Major Humanities and Social Sciences Research Projects in Zhejiang higher education institutions,grant number 2023QN082,awarded to Cheng ZhaoThe National Natural Science Foundation of China also provided funding,grant number 61902349,awarded to Cheng Zhao.
文摘The present study examines the impact of short-term public opinion sentiment on the secondary market,with a focus on the potential for such sentiment to cause dramatic stock price fluctuations and increase investment risk.The quantification of investment sentiment indicators and the persistent analysis of their impact has been a complex and significant area of research.In this paper,a structured multi-head attention stock index prediction method based adaptive public opinion sentiment vector is proposed.The proposedmethod utilizes an innovative approach to transform numerous investor comments on social platforms over time into public opinion sentiment vectors expressing complex sentiments.It then analyzes the continuous impact of these vectors on the market through the use of aggregating techniques and public opinion data via a structured multi-head attention mechanism.The experimental results demonstrate that the public opinion sentiment vector can provide more comprehensive feedback on market sentiment than traditional sentiment polarity analysis.Furthermore,the multi-head attention mechanism is shown to improve prediction accuracy through attention convergence on each type of input information separately.Themean absolute percentage error(MAPE)of the proposedmethod is 0.463%,a reduction of 0.294% compared to the benchmark attention algorithm.Additionally,the market backtesting results indicate that the return was 24.560%,an improvement of 8.202% compared to the benchmark algorithm.These results suggest that themarket trading strategy based on thismethod has the potential to improve trading profits.
文摘BACKGROUND Remimazolam is characterized by rapid action and inactive metabolites.It is used as the general anesthetic for many clinical surgeries.In this study,we performed a meta-analysis to evaluate whether remimazolam is superior to propofol for gastroenteroscopy in older patients.AIM To compare the adverse events and efficacy of remimazolam and propofol during gastroenteroscopy in older adults.METHODS The PubMed,Web of Science,the Cochrane Library databases were queried for the relevant key words"remimazolam,""and propofol,""and gastrointestinal endoscopy or gastroscopy."The search scope was"Title and Abstract,"and the search was limited to human studies and publications in English.Seven studies wherein remimazolam and propofol were compared were included for the metaanalysis.RESULTS We selected seven randomized controlled trials involving 1445 cases for the analysis.Remimazolam reduced the hypotension(relative risk,RR=0.44,95%CI:0.29-0.66,P=0.000),respiratory depression(RR=0.46,95%CI:0.30-0.70,P=0.000),injection pain(RR=0.12,95%CI:0.05-0.25,P=0.000),bradycardia(RR=0.37,95%CI:0.24-0.58,P=0.000),and time to discharge[weighted mean difference(WMD)=-0.58,95%CI:-0.97 to-0.18,P=0.005],compared to those after propofol administration.No obvious differences were observed for postoperative nausea and vomiting(RR=1.09,95%CI:0.97-1.24,P=0.151),dizziness(RR=0.77,95%CI:0.43-1.36,P=0.361),successful sedation rate(RR=0.96,95%CI:0.93-1.00,P=0.083),or the time to become fully alert(WMD=0.00,95%CI:-1.08-1.08,P=0.998).CONCLUSION Remimazolam appears to be safer than propofol for gastroenteroscopy in older adults.However,further studies are required to confirm these findings.
基金Supported by the Fund of the Hunan Provincial Health Commission,No.D20230416797。
文摘BACKGROUND Remimazolam is a new benzodiazepine used for procedural sedation and general anesthesia.Several studies have used remimazolam for bendable bronchoscopy.AIM To assess the safety and efficacy of remimazolam for sedation in patients undergoing bendable bronchoscopy by performing a meta-analysis of randomized controlled trials(RCTs).METHODS We searched the EMBASE,PubMed,Cochrane Library,and Web of Science databases for RCTs on bendable bronchoscopic procedural sedation with remimazolam vs conventional sedatives(CS).RESULTS Five studies with 1080 cases were included.Remimazolam had the same sedation success rate compared with CS[relative risk(RR):1.35,95%CI:0.60-3.05,P=0.474,I2=99.6%].However,remimazolam was associated with a lower incidence of hypotension(RR:0.61;95%CI:0.40-0.95,P=0.027;I2=65.1%)and a lower incidence of respiratory depression(RR:0.50,95%CI:0.33-0.77,P=0.002,I2=42.3%).A subgroup analysis showed a higher success rate of sedation with remimazolam than midazolam(RR:2.45,95%CI:1.76-3.42,P<0.001).Compared with propofol,the incidence of hypotension(RR:0.45,95%CI:0.32-0.64,P<0.001,I2=0.0%),respiratory depression(RR:0.48,95%CI:0.30-0.76,P=0.002,I2=78.4%),hypoxemia(RR:0.36,95%CI:0.15-0.87,P=0.023),and injection pain(RR:0.04,95%CI:0.01-0.28,P=0.001)were lower.CONCLUSION Remimazolam is safe and effective during bronchoscopy.The sedation success rate was similar to that in the CS group.However,remimazolam has a higher safety profile,with fewer inhibitory effects on respiration and circulation.
文摘针对危险化学品实体识别及关系识别的问题,本文基于双向长短期记忆网络连接条件随机场(Bidirectional Long Short-Term Memory with Conditional Random Field,BiLSTM-CRF)模型,通过引入双向编码器表示(Bidirectional Encoder Representation from Transformers,BERT)模型结合多头自注意力机制,提出了一种预训练命名实体模型BERT-BiLSTM-self-Attention-CRF,通过对危险化学品的文本进行字符级别编码,得到基于上下文信息的字向量,增强了模型挖掘文本全局和局部特征的能力。实验结果表明,在自行构建的数据集上,本文模型优于其他传统模型,其F1值为94.57%。
基金Thanks to the Shandong Science and Technology Development Project(2013YD02043)and Shandong University of Science and Technology Science and Technology Innovation Program for their support.
文摘The control of carbon emissions and energy conservation,and environmental protection are hot spots of global concern.In this paper,phase change paraffin wax is applied to porous materials for adsorption and storage,and nature’s eco-friendly materials are selected as the porous matrix to propose an eco-friendly phase change concrete using eco-friendly materials as raw materials.It was obtained that the strength of the phase change concrete utilizing environmentally friendly materials was 25.4%to 36.8%lower than that of ordinary concrete,while some of the phase change light aggregates were found to produce slip damage with the cement paste in the damage study.By constructing a small-sized test room for thermal properties,we obtained a phase change concrete that utilizes environmentally friendly materials to control the temperature better than the commonly studied phase change concrete,with a peak temperature drop of up to 2.6℃ in the phase change test room compared to the normal test room and a delay in the peak temperature.
基金supported by the National Natural Science Foundation of China[Grant Number 61902349].
文摘Rule-based portfolio construction strategies are rising as investmentdemand grows, and smart beta strategies are becoming a trend amonginstitutional investors. Smart beta strategies have high transparency, lowmanagement costs, and better long-term performance, but are at the risk ofsevere short-term declines due to a lack of Risk Control tools. Although thereare some methods to use historical volatility for Risk Control, it is still difficultto adapt to the rapid switch of market styles. How to strengthen the RiskControl management of the portfolio while maintaining the original advantagesof smart beta has become a new issue of concern in the industry. Thispaper demonstrates the scientific validity of using a probability prediction forposition optimization through an optimization theory and proposes a novelnatural gradient boosting (NGBoost)-based portfolio optimization method,which predicts stock prices and their probability distributions based on non-Bayesian methods and maximizes the Sharpe ratio expectation of positionoptimization. This paper validates the effectiveness and practicality of themodel by using the Chinese stock market, and the experimental results showthat the proposed method in this paper can reduce the volatility by 0.08 andincrease the expected portfolio cumulative return (reaching a maximum of67.1%) compared with the mainstream methods in the industry.
