BACKGROUND Post-stroke depression(PSD)is a common and debilitating condition affecting stroke survivors,significantly impacting their recovery and overall quality of life.AIM To assess the effects of early PSD screeni...BACKGROUND Post-stroke depression(PSD)is a common and debilitating condition affecting stroke survivors,significantly impacting their recovery and overall quality of life.AIM To assess the effects of early PSD screening on functional outcomes,quality of life,and mortality.METHODS From an initial pool of 1065 articles,6 studies met the inclusion criteria and were selected for analysis.Functional outcomes were measured using the functional independence measure(FIM).RESULTS The analysis revealed a significant improvement in FIM scores for a PSD scree-ning group compared to controls[standardized mean difference(SMD)=8.90,95%confidence interval(CI):4.65-13.15,P<0.01].Quality of life was assessed using the Stroke-Specific Quality of Life Scale,with the screening group showing significantly higher scores(SMD=20.83,95%CI:15.27-26.38,P<0.01).Mortality analysis indicated a reduction in five-year mortality rates for the PSD screening group.CONCLUSION Early PSD screening enhances functional recovery,improves quality of life,and reduces mortality rates in stroke survivors.Thus,integrating PSD screening into routine stroke care improves long-term outcomes for patients.展开更多
BACKGROUND Malnutrition exacerbates the deterioration in patients with advanced gas-trointestinal tumors.AIM To analyze the effect of enteral nutritional support based on Nutrition Risk Screening 2002(NRS2002)risk ass...BACKGROUND Malnutrition exacerbates the deterioration in patients with advanced gas-trointestinal tumors.AIM To analyze the effect of enteral nutritional support based on Nutrition Risk Screening 2002(NRS2002)risk assessment on nutritional function in patients with gastrointestinal tumors.METHODS One hundred twelve patients from April 2022 to April 2024 were included for observation and were divided into a control group and an observation group by random number method,56 each.Both groups received treatment for four consecutive weeks.The control group received routine enteral nutrition support,while the observation group received enteral nutrition support based on the NRS2002 risk assessment.Nutritional function,intestinal mucosal barrier function,quality of life,and complication rate were compared between the two groups.Statistical analysis was completed using SPSS26.0 and Excel.RESULTS After nutritional intervention,transferrin,albumin,hemoglobin,and diamine oxidase levels in the observation group were higher than those in the control group,while C-reactive protein,tumor necrosis factorα,and quality of life scores were lower,with significant differences(P<0.05).There was no significant difference in complications between groups(P>0.05),but the complication rate was lower in the observation group.CONCLUSION Enteral nutritional support based on NRS2002 risk assessment for patients with gastrointestinal tumors positively impacts nutritional status and promotes intestinal mucosal barrier function recovery.Patients’quality of life improved,and the incidence of adverse reactions decreased,indicating clinical promotion and application value.展开更多
The reaction characteristics of calcium-based materials during calcium looping(CaL)process are pivotal in the efficiency of CaL thermochemical energy storage(TCES)and CO_(2)capture systems.Currently,metal oxide doping...The reaction characteristics of calcium-based materials during calcium looping(CaL)process are pivotal in the efficiency of CaL thermochemical energy storage(TCES)and CO_(2)capture systems.Currently,metal oxide doping is the primary method to enhance the reaction characteristics of calcium-based materials over multiple cycles.In particular,co-doping with variable-valence metal oxides(VVMOs)can effectively increase the oxygen vacancy content in calcium-based materials,significantly improving their cyclic reaction characteristics.However,there are so numerous VVMOs co-doping schemes that the experimental screening process is complex,consuming considerable time and economic costs.Density functional theory(DFT)calculations have been widely used to reveal the impact of metal oxide doping on the cyclic reaction characteristics of calcium-based materials,with calculation results showing good agreement with experimental conclusions.Nevertheless,there is still a lack of research on utilizing DFT to screen calcium-based materials,and a systematic research methodology has not yet been established.In this study,a systematic DFT-based screening methodology for calcium-based materials was proposed.A series of key parameters for DFT calculations including CO_(2)adsorption energy,oxygen vacancy formation energy,and sintering resistance were proposed.Furthermore,a preliminary mathematical model to predict the CaL TCES and CO_(2)capture performance of calcium-based materials was introduced.The aforementioned DFT method was employed to screen for VVMOs co-doped calcium-based materials.The results revealed that Mn and Ce co-doped calcium-based materials exhibited superior DFT-predicted reaction characteristics.These DFT predictions were validated through experimental assessments of cyclic thermochemical energy storage,CO_(2)capture,and relevant characterization.The outcomes demonstrate a high degree of consistency among DFT-based predictions,experimental results,and characterization.Hence,the DFT-based screening methodology for calcium-based materials proposed herein is a viable solution,poised to offer theoretical insights for the efficient design of calcium-based materials.展开更多
A metagenomic fosmid library of approximately 52 000 clones was constructed to identify functional genes encoding cold-adapted enzymes. Metagenomic DNA was extracted from a sample of glacial meltwater, collected on th...A metagenomic fosmid library of approximately 52 000 clones was constructed to identify functional genes encoding cold-adapted enzymes. Metagenomic DNA was extracted from a sample of glacial meltwater, collected on the Antarctic Peninsula during the ANTARKOS XXIX Expedition during the austral summer of 2012-2013. Each clone contained an insert of about 35-40 kb, so the library represented almost 2 Gb of genetic information from metagenomic DNA. Activity-driven screening was used to detect the cold-adapted functions expressed by the library. Fifty lipase/esterase and two cellulase-producing clones were isolated, and two clones able to grow on Avicel as the sole carbon source. Interestingly, three clones formed a brown precipitate in the presence of manganese （II）. Accumulation of manganese oxides was determined with a leucoberbelin blue assay, indicating that these three clones had manganese-oxidizing activity. To the best of our knowledge, this is the first report of a manganese oxidase activity detected with a functional metagenomic strategy.展开更多
Dual-atom catalysts(DACs)have emerged as potential catalysts for effective electroreduction of CO_(2)due to their high atom utilization efficiency and multiple active sites.However,the screening of DACs remains a chal...Dual-atom catalysts(DACs)have emerged as potential catalysts for effective electroreduction of CO_(2)due to their high atom utilization efficiency and multiple active sites.However,the screening of DACs remains a challenge due to the large number of possible combinations,making exhaustive experimental or computational screening a daunting task.In this study,a density functional theory(DFT)-based machine learning(ML)-accelerated(DFT-ML)hybrid approach was developed to test a set of 406 dual transition metal catalysts on N-doped graphene(NG)for the electroreduction of CO_(2)to HCOOH.The results showed that the ML algorithms can successfully capture the relationship between the descriptors of the DACs(inputs)and the limiting potential for HCOOH generation(output).Of the four ML algorithms studied in this work,the feedforward neural network model achieved the highest prediction accuracy(the highest correlation coefficient(R^(2))of 0.960 and the lowest root mean square error(RMSE)of 0.319 eV on the test set)and the predicted results were verified by DFT calculations with an average absolute error of 0.14 eV.The DFT-ML approach identified Co-Co-NG and Ir-Fe-NG as the most active and stable electrocatalysts for the electrochemical reduction of CO_(2)to HCOOH.The DFT-ML hybrid approach exhibits exceptional prediction accuracy while enabling a significant reduction in screening time by an impressive 64%compared to conventional DFT-only calculations.These results demonstrate the immense potential of using ML methods to accelerate the screening and rational design of efficient catalysts for various energy and environmental applications.展开更多
Objective: to explore and analyze the effect of simple pulmonary function instrument in community screening of chronic obstructive pulmonary disease, and analyze its clinical applicability. Methods: the period from Se...Objective: to explore and analyze the effect of simple pulmonary function instrument in community screening of chronic obstructive pulmonary disease, and analyze its clinical applicability. Methods: the period from September 2018 to June 2019 was selected as the research period. During this period, 100 ordinary people who underwent physical examination in our hospital were selected as the research objects. All the physical examination subjects were selected by the medical staff to make retrospective analysis and judge their physical examination results. In this study, the simple pulmonary function instrument technology was applied to diagnose the pulmonary function of the physical examination subjects, and the number of cases of COPD in 100 physical examination subjects was analyzed. Results: in this study, 6 patients with COPD were initially screened out from 100 physical examination patients of the general population, and the confirmed diagnosis rate by bronchodilation test was 6.00%. Conclusion: when screening the general population for chronic obstructive pulmonary disease, the simple pulmonary function instrument should be used for primary screening, and the patients with abnormal lung function should be referred to the respiratory department of the tertiary hospital for bronchodilator test. Only in this way can the diagnosis be made, in order to timely treat the patients, improve the level of modern clinical physical examination and further improve the quality of life of the general population.展开更多
针对退役动力电池规模大、单体筛选复杂、重组后动态特性差异大以及寿命损耗加剧等问题,该文考虑电池模组的功能状态(state of function,SOF)特性,提出基于数字孪生技术的退役电池模组筛选方法。首先,通过电压、电流、荷电状态(state of...针对退役动力电池规模大、单体筛选复杂、重组后动态特性差异大以及寿命损耗加剧等问题,该文考虑电池模组的功能状态(state of function,SOF)特性,提出基于数字孪生技术的退役电池模组筛选方法。首先,通过电压、电流、荷电状态(state of charge,SOC)及健康状态(state of health,SOH)等参量表征SOF特性,估计梯次利用过程中SOF动态安全裕度;其次,搭建耦合物理模型、信息流及数字孪生映射体的电池模组筛选架构,提出基于生成对抗网络(generative adversarial networks,GAN)与长短期记忆网络(long short-term memory,LSTM)的电池数据缺失及偏移预测方法,优化退役动力电池模组表征SOF的多性能参量;最后,采用k-means算法对综合考虑SOH及SOF特性的退役电池模组进行聚类筛选。仿真结果表明:所提筛选方法可以提高退役动力电池动态一致性,并延长梯次利用过程中电池的运行寿命。展开更多
为了预防职业驾驶员肌肉骨骼疾病,促进职业健康,通过功能性动作筛查(functional movement screen,FMS)评估职业驾驶员功能性运动能力现状,进一步探讨运动干预效果。采用分层便利抽样法,选取145名职业驾驶员作为研究对象,通过FMS测试其...为了预防职业驾驶员肌肉骨骼疾病,促进职业健康,通过功能性动作筛查(functional movement screen,FMS)评估职业驾驶员功能性运动能力现状,进一步探讨运动干预效果。采用分层便利抽样法,选取145名职业驾驶员作为研究对象,通过FMS测试其功能性运动能力。随后,对其中20名女性驾驶员实施运动干预,全程监控其运动负荷,并在干预结束后进行FMS后测。通过SPSS 29.0软件分析FMS测试结果、性别间差异及运动干预效果。结果表明:职业驾驶员FMS总分普遍低于14分;单项测试中,主动直腿上抬动作得分最高,直线弓步蹲动作得分最低;深蹲、跨栏步、主动直腿上抬以及躯干稳定俯卧撑动作得分存在性别差异(P<0.05);干预后,女性驾驶员的基本功能动作、下肢柔韧性以及躯干稳定性动作模式明显改善,差异均有统计学意义(P<0.05);运动干预负荷整体属于中等强度有氧运动。可见,职业驾驶员的功能性运动能力普遍不足,中等强度的运动干预是改善女性驾驶员功能性运动能力、预防肌肉骨骼疾病的有效手段。展开更多
文摘BACKGROUND Post-stroke depression(PSD)is a common and debilitating condition affecting stroke survivors,significantly impacting their recovery and overall quality of life.AIM To assess the effects of early PSD screening on functional outcomes,quality of life,and mortality.METHODS From an initial pool of 1065 articles,6 studies met the inclusion criteria and were selected for analysis.Functional outcomes were measured using the functional independence measure(FIM).RESULTS The analysis revealed a significant improvement in FIM scores for a PSD scree-ning group compared to controls[standardized mean difference(SMD)=8.90,95%confidence interval(CI):4.65-13.15,P<0.01].Quality of life was assessed using the Stroke-Specific Quality of Life Scale,with the screening group showing significantly higher scores(SMD=20.83,95%CI:15.27-26.38,P<0.01).Mortality analysis indicated a reduction in five-year mortality rates for the PSD screening group.CONCLUSION Early PSD screening enhances functional recovery,improves quality of life,and reduces mortality rates in stroke survivors.Thus,integrating PSD screening into routine stroke care improves long-term outcomes for patients.
文摘BACKGROUND Malnutrition exacerbates the deterioration in patients with advanced gas-trointestinal tumors.AIM To analyze the effect of enteral nutritional support based on Nutrition Risk Screening 2002(NRS2002)risk assessment on nutritional function in patients with gastrointestinal tumors.METHODS One hundred twelve patients from April 2022 to April 2024 were included for observation and were divided into a control group and an observation group by random number method,56 each.Both groups received treatment for four consecutive weeks.The control group received routine enteral nutrition support,while the observation group received enteral nutrition support based on the NRS2002 risk assessment.Nutritional function,intestinal mucosal barrier function,quality of life,and complication rate were compared between the two groups.Statistical analysis was completed using SPSS26.0 and Excel.RESULTS After nutritional intervention,transferrin,albumin,hemoglobin,and diamine oxidase levels in the observation group were higher than those in the control group,while C-reactive protein,tumor necrosis factorα,and quality of life scores were lower,with significant differences(P<0.05).There was no significant difference in complications between groups(P>0.05),but the complication rate was lower in the observation group.CONCLUSION Enteral nutritional support based on NRS2002 risk assessment for patients with gastrointestinal tumors positively impacts nutritional status and promotes intestinal mucosal barrier function recovery.Patients’quality of life improved,and the incidence of adverse reactions decreased,indicating clinical promotion and application value.
基金supported by the National Natural Science Foundation of China(52276204 and U22A20435)。
文摘The reaction characteristics of calcium-based materials during calcium looping(CaL)process are pivotal in the efficiency of CaL thermochemical energy storage(TCES)and CO_(2)capture systems.Currently,metal oxide doping is the primary method to enhance the reaction characteristics of calcium-based materials over multiple cycles.In particular,co-doping with variable-valence metal oxides(VVMOs)can effectively increase the oxygen vacancy content in calcium-based materials,significantly improving their cyclic reaction characteristics.However,there are so numerous VVMOs co-doping schemes that the experimental screening process is complex,consuming considerable time and economic costs.Density functional theory(DFT)calculations have been widely used to reveal the impact of metal oxide doping on the cyclic reaction characteristics of calcium-based materials,with calculation results showing good agreement with experimental conclusions.Nevertheless,there is still a lack of research on utilizing DFT to screen calcium-based materials,and a systematic research methodology has not yet been established.In this study,a systematic DFT-based screening methodology for calcium-based materials was proposed.A series of key parameters for DFT calculations including CO_(2)adsorption energy,oxygen vacancy formation energy,and sintering resistance were proposed.Furthermore,a preliminary mathematical model to predict the CaL TCES and CO_(2)capture performance of calcium-based materials was introduced.The aforementioned DFT method was employed to screen for VVMOs co-doped calcium-based materials.The results revealed that Mn and Ce co-doped calcium-based materials exhibited superior DFT-predicted reaction characteristics.These DFT predictions were validated through experimental assessments of cyclic thermochemical energy storage,CO_(2)capture,and relevant characterization.The outcomes demonstrate a high degree of consistency among DFT-based predictions,experimental results,and characterization.Hence,the DFT-based screening methodology for calcium-based materials proposed herein is a viable solution,poised to offer theoretical insights for the efficient design of calcium-based materials.
基金the Antarctic Institute of Uruguay Research Projects 2012-2014, Programa para el Desarrollo de las Ciencias Básicas (PEDECIBA)the National Agency for Innovation and Investigation (ANII) INI_X_2012_1_4201 for their partial financial support
文摘A metagenomic fosmid library of approximately 52 000 clones was constructed to identify functional genes encoding cold-adapted enzymes. Metagenomic DNA was extracted from a sample of glacial meltwater, collected on the Antarctic Peninsula during the ANTARKOS XXIX Expedition during the austral summer of 2012-2013. Each clone contained an insert of about 35-40 kb, so the library represented almost 2 Gb of genetic information from metagenomic DNA. Activity-driven screening was used to detect the cold-adapted functions expressed by the library. Fifty lipase/esterase and two cellulase-producing clones were isolated, and two clones able to grow on Avicel as the sole carbon source. Interestingly, three clones formed a brown precipitate in the presence of manganese （II）. Accumulation of manganese oxides was determined with a leucoberbelin blue assay, indicating that these three clones had manganese-oxidizing activity. To the best of our knowledge, this is the first report of a manganese oxidase activity detected with a functional metagenomic strategy.
基金partially sponsored by the Development and Reform Commission of Ningbo Municipality(Ningbo Municipal Engineering Research Centre for Solid Carbonaceous Wastes Processing and Utilization Technologies)the National Natural Science Foundation Youth Science Fund Project(52203300),the National Natural Science Foundation of China(22308195)+4 种基金the Natural Science Foundation of Shandong Province(ZR2023QB237)Ningbo Science and Technologies Innovation 2025 Major Special Project(2018B10027)The Zhejiang Provincial Department of Science and Technology is acknowledged for sponsorship under its Provincial Key Laboratory Program(2020E10018)Ningbo Bureau of Science and Technology is also thanked for its support to the Key Laboratory of Clean Energy Conversion TechnologiesThe University of Nottingham Ningbo China provides the first author with a full scholarship。
文摘Dual-atom catalysts(DACs)have emerged as potential catalysts for effective electroreduction of CO_(2)due to their high atom utilization efficiency and multiple active sites.However,the screening of DACs remains a challenge due to the large number of possible combinations,making exhaustive experimental or computational screening a daunting task.In this study,a density functional theory(DFT)-based machine learning(ML)-accelerated(DFT-ML)hybrid approach was developed to test a set of 406 dual transition metal catalysts on N-doped graphene(NG)for the electroreduction of CO_(2)to HCOOH.The results showed that the ML algorithms can successfully capture the relationship between the descriptors of the DACs(inputs)and the limiting potential for HCOOH generation(output).Of the four ML algorithms studied in this work,the feedforward neural network model achieved the highest prediction accuracy(the highest correlation coefficient(R^(2))of 0.960 and the lowest root mean square error(RMSE)of 0.319 eV on the test set)and the predicted results were verified by DFT calculations with an average absolute error of 0.14 eV.The DFT-ML approach identified Co-Co-NG and Ir-Fe-NG as the most active and stable electrocatalysts for the electrochemical reduction of CO_(2)to HCOOH.The DFT-ML hybrid approach exhibits exceptional prediction accuracy while enabling a significant reduction in screening time by an impressive 64%compared to conventional DFT-only calculations.These results demonstrate the immense potential of using ML methods to accelerate the screening and rational design of efficient catalysts for various energy and environmental applications.
文摘Objective: to explore and analyze the effect of simple pulmonary function instrument in community screening of chronic obstructive pulmonary disease, and analyze its clinical applicability. Methods: the period from September 2018 to June 2019 was selected as the research period. During this period, 100 ordinary people who underwent physical examination in our hospital were selected as the research objects. All the physical examination subjects were selected by the medical staff to make retrospective analysis and judge their physical examination results. In this study, the simple pulmonary function instrument technology was applied to diagnose the pulmonary function of the physical examination subjects, and the number of cases of COPD in 100 physical examination subjects was analyzed. Results: in this study, 6 patients with COPD were initially screened out from 100 physical examination patients of the general population, and the confirmed diagnosis rate by bronchodilation test was 6.00%. Conclusion: when screening the general population for chronic obstructive pulmonary disease, the simple pulmonary function instrument should be used for primary screening, and the patients with abnormal lung function should be referred to the respiratory department of the tertiary hospital for bronchodilator test. Only in this way can the diagnosis be made, in order to timely treat the patients, improve the level of modern clinical physical examination and further improve the quality of life of the general population.
文摘针对退役动力电池规模大、单体筛选复杂、重组后动态特性差异大以及寿命损耗加剧等问题,该文考虑电池模组的功能状态(state of function,SOF)特性,提出基于数字孪生技术的退役电池模组筛选方法。首先,通过电压、电流、荷电状态(state of charge,SOC)及健康状态(state of health,SOH)等参量表征SOF特性,估计梯次利用过程中SOF动态安全裕度;其次,搭建耦合物理模型、信息流及数字孪生映射体的电池模组筛选架构,提出基于生成对抗网络(generative adversarial networks,GAN)与长短期记忆网络(long short-term memory,LSTM)的电池数据缺失及偏移预测方法,优化退役动力电池模组表征SOF的多性能参量;最后,采用k-means算法对综合考虑SOH及SOF特性的退役电池模组进行聚类筛选。仿真结果表明:所提筛选方法可以提高退役动力电池动态一致性,并延长梯次利用过程中电池的运行寿命。
文摘为了预防职业驾驶员肌肉骨骼疾病,促进职业健康,通过功能性动作筛查(functional movement screen,FMS)评估职业驾驶员功能性运动能力现状,进一步探讨运动干预效果。采用分层便利抽样法,选取145名职业驾驶员作为研究对象,通过FMS测试其功能性运动能力。随后,对其中20名女性驾驶员实施运动干预,全程监控其运动负荷,并在干预结束后进行FMS后测。通过SPSS 29.0软件分析FMS测试结果、性别间差异及运动干预效果。结果表明:职业驾驶员FMS总分普遍低于14分;单项测试中,主动直腿上抬动作得分最高,直线弓步蹲动作得分最低;深蹲、跨栏步、主动直腿上抬以及躯干稳定俯卧撑动作得分存在性别差异(P<0.05);干预后,女性驾驶员的基本功能动作、下肢柔韧性以及躯干稳定性动作模式明显改善,差异均有统计学意义(P<0.05);运动干预负荷整体属于中等强度有氧运动。可见,职业驾驶员的功能性运动能力普遍不足,中等强度的运动干预是改善女性驾驶员功能性运动能力、预防肌肉骨骼疾病的有效手段。
