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Examining the Present and Future Integrated Role of Artificial Intelligence in the Business: A Survey Study on Corporate Sector 认领
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作者 Awais Khan Jumani Asif Ali Laghari +1 位作者 Kamlesh Narwani Shibin David 《电脑和通信(英文)》 2021年第1期80-90,共11页
<div style="text-align:justify;"> In the fast-moving world, it is noticed that every industry is developing gradually, but recently it is identified that the use of AI has become the talk of own. There... <div style="text-align:justify;"> In the fast-moving world, it is noticed that every industry is developing gradually, but recently it is identified that the use of AI has become the talk of own. Therefore, this study is focused on gathering data regarding the AI on how it has transformed the entire world’s corporate sector. The essential application AI in the business world helps the business to perform better in the corporate sector. In this paper, the critical role of artificial intelligence is to grow business in different sectors and also address its ethical and unethical issues. The paper has all the initial background and comprehensive literature regarding AI and machine learning. It is discovered how the technological world has been striving to take their business on to new heights, which requires updated technological changes in internal business activities. Companies can now effortlessly interact with their customers in making their application accessible for the end-users through implementing AI and machine learning. Companies are getting higher profitability and enhancing their performance and achieving economic advantages by integrated AI. Moreover, their technological developments will take human jobs in the future, so, it is suggested that humans should work on their skills and competencies so that they can deal with unemployment. </div> 展开更多
关键词 Artificial Intelligence Machine Learning Functions of AI Use of AI in Busi-ness Cooperate Sector
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Electrodeposition of calcium phosphate onto polyethylene terephthalate artificial ligament enhances graft-bone integration after anterior cruciate ligament reconstruction 认领
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作者 Jiangyu Cai Qianqian Zhang +4 位作者 Jiebo Chen Jia Jiang Xiumei Mo Chuanglong He Jinzhong Zhao 《生物活性材料》 SCIE 2021年第3期783-793,共11页
It is a big challenge to develop a polyethylene terephthalate(PET)artificial ligament with excellent osteogenetic activity to enhance graft-bone integration for ligament reconstruction.Herein,we evaluated the effect o... It is a big challenge to develop a polyethylene terephthalate(PET)artificial ligament with excellent osteogenetic activity to enhance graft-bone integration for ligament reconstruction.Herein,we evaluated the effect of biomineralization(BM)and electrodeposition(ED)method for depositing calcium-phosphate(CaP)on the PET artificial ligament in vitro and in vivo.Scanning electron microscopy and energy-dispersive X-Ray spectrometer mapping analysis revealed that the ED-CaP had more uniform particles and element distribution(Ca,P and O),and thermogravimetric analysis showed there were more CaP on the PET/ED-CaP than the PET/BM-CaP scaffold.Moreover,the hydrophilicity of PET scaffolds was significantly improved after CaP deposition.In vitro study showed that CaP coating via BM or ED method could improve the attachment and proliferation of MC3T3-E1 cells,and ED-CaP coating significantly increased osteogenic differentiation of the cells,in which the Wnt/β-catenin signaling pathway might be involved.In addition,radiological,histological and immunohistochemical results of in vivo study in a rabbit anterior cruciate ligament(ACL)reconstruction model demonstrated that the PET/BM-CaP and PET/ED-CaP scaffolds significantly improved graft-bone integration process compared to the PET scaffold.More importantly,larger areas of new bone ingrowth and the formation of fibrocartilage tissue were observed at 12 weeks in the PET/ED-CaP group,and the biomechanical tests showed increased ultimate failure load and stiffness in PET/ED-CaP group compared to PET/BM-CaP and PET group.Therefore,ED of CaP is an effective strategy for the modification of PET artificial ligament and can enhance graft-bone integration both in vitro and in vivo. 展开更多
关键词 ELECTRODEPOSITION CALCIUM-PHOSPHATE Graft-bone integration Polyethylene terephthalate Artificial ligament
Reaction behaviors of Pb and Zn sulfates during reduction roasting of Zn leaching residue and flotation of artificial sulfide minerals 认领
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作者 Yong-xing Zheng Jilai Ning +3 位作者 Wei Liu Pan-jin Hu Jin-fang Lü Jie Pang 《矿物冶金与材料学报:英文版》 SCIE EI CAS 2021年第3期358-366,共9页
To evaluate the feasibility of recovering Pb and Zn sulfides and Ag-containing minerals from Zn leaching residue by the process of reduction roasting followed by flotation,the reaction behaviors of Pb and Zn sulfates ... To evaluate the feasibility of recovering Pb and Zn sulfides and Ag-containing minerals from Zn leaching residue by the process of reduction roasting followed by flotation,the reaction behaviors of Pb and Zn sulfates during this process were investigated.Chemical analysis showed that the transformation ratios of PbSO4 and ZnSO4 could reach 65.51%and 52.12%,respectively,after reduction roasting,and the introduction of a sulfidation agent could improve the transformation ratios of these sulfates.scanning electron microscopy-energy dispersive spectroscopy(SEM-EDS)revealed that temperature obviously affects the particle size,crystal growth,and morphology of the artificial Pb and Zn sulfide minerals.Particle size analysis demonstrated that the particle size of the materials increases after roasting.Flotation tests revealed that a flotation concentrate composed of 12.01wt%Pb,27.78wt%Zn,and 6.975×10^(−2)wt%Ag with recoveries of 60.54%,29.24%,and 57.64%,respectively,could be obtained after roasting. 展开更多
关键词 zinc leaching residue reduction roasting FLOTATION Pb and Zn sulfates artificial sulfides
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负压伤口疗法在非复杂性心脏起搏器囊袋感染中的临床应用 认领
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作者 姜珊 李康 +3 位作者 熊焰 谢昆 齐心 温冰 《中华烧伤杂志》 CAS 北大核心 2021年第3期288-291,共4页
目的探讨负压伤口疗法(NPWT)治疗非复杂性心脏起搏器囊袋感染的可行性。方法2013年1月—2020年3月,北京大学第一医院心内科收治非复杂性心脏起搏器囊袋感染患者35例,行回顾性队列研究,其中男21例、女14例,年龄27~84岁。在创面彻底清创... 目的探讨负压伤口疗法(NPWT)治疗非复杂性心脏起搏器囊袋感染的可行性。方法2013年1月—2020年3月,北京大学第一医院心内科收治非复杂性心脏起搏器囊袋感染患者35例,行回顾性队列研究,其中男21例、女14例,年龄27~84岁。在创面彻底清创联合持续NPWT(负压值约-16.67 kPa)的基础上,将脉冲发生器埋植于胸大肌、胸小肌之间,原囊袋腔隙内放置引流管,关闭创面后再次同前行持续NPWT治疗5~7 d。对本组患者切除囊袋组织行苏木精-伊红染色观察;观察起搏器重植术后10~12 d伤口愈合情况;术后随访6~42个月,观察有无感染复发。结果本组患者囊袋组织可见纤维囊壁,局部被覆复层上皮,较多慢性炎症细胞浸润,部分患者囊袋组织伴多核巨细胞反应。起搏器重植术后10~12 d,35例患者皮肤伤口均愈合良好,拆除伤口缝线。术后随访6~42个月,31例患者起搏器囊袋感染消退,伤口愈合良好;4例患者在术后因再次感染,移除全套起搏系统。结论对非复杂性心脏起搏器囊袋感染患者,在彻底清创的基础上,NPWT是一种可选的治疗方法。 展开更多
关键词 心脏起搏器 人工 负压伤口疗法 囊袋感染
Interface issues of lithium metal anode for high-energy batteries: Challenges, strategies, and perspectives 认领
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作者 Yiyao Han Bo Liu +6 位作者 Zhen Xiao Wenkui Zhang Xiuli Wang Guoxiang Pan Yang Xia Xinhui Xia Jiangping Tu 《信息材料》 SCIE CAS 2021年第2期155-174,共20页
Lithium(Li)metal is considered as one of the most promising anode materials for next-generation high-energy-density storage systems.However,the practical application of Li metal anode is hindered by interfacial instab... Lithium(Li)metal is considered as one of the most promising anode materials for next-generation high-energy-density storage systems.However,the practical application of Li metal anode is hindered by interfacial instability and air instability due to the highly reactivity of Li metal.Unstable interface in Li metal batteries(LMBs)directly dictates Li dendrite growth,“dead Li”and low Coulombic efficiency,resulting in inferior electrochemical performance of LMBs and even safety issues.In addition,its sensitivity to ambient air leads to the severe corrosion of Li metal anode,high requirements of production and storage,and increased manufacturing cost.Plenty of efforts in recent years have overcome many bottlenecks in these fields and hastened the practical applications of high-energy-density LMBs.In this review,we focus on emerging methods of these two aspects to fulfill a stable and low cost electrode.In this perspective,design artificial solid electrolyte interphase(SEI)layers,construct three-dimensional conductive current collectors,optimize electrolytes,employ solid-state electrolytes,and modify separators are summarized to be propitious to ameliorate interfacial stability.Meanwhile,ex situ/in situ formed protective layers are highlighted in favor of heightening air stability.Finally,several possible directions for the future research on advanced Li metal anode are addressed. 展开更多
关键词 air stability artificial layer interfacial stability Li metal protection lithium metal anode
Do clinical and paraclinical findings have the power to predict critical conditions of injured patients after traumatic injury resuscitation?Using data mining artificial intelligence 认领
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作者 Shahram Paydar Elahe Parva +4 位作者 Zahra Ghahramani Saeedeh Pourahmad Leila Shayan Vahid Mohammadkarimi Golnar Sabetian 《中华创伤杂志:英文版》 CAS 2021年第1期48-52,共5页
Purpose The triage and initial care of injured patients and a subsequent right level of care is paramount for an overall outcome after traumatic injury.Early recognition of patients is an important case of such decisi... Purpose The triage and initial care of injured patients and a subsequent right level of care is paramount for an overall outcome after traumatic injury.Early recognition of patients is an important case of such decision-making with risk of worse prognosis.This article is to answer if clinical and paraclinical signs can predict the critical conditions of injured patients after traumatic injury resuscitation.Methods The study included 1107 trauma patients,16 years and older.The patients were trauma victims of Levels I and II triage and admitted to the Rajaee(Emtiaz)Trauma Hospital,Shiraz,in 2014–2015.The cross-industry process for data mining methodology and modeling was used for assessing the best early clinical and paraclinical variables to predict the patients’prognosis.Five modeling methods including the support vector machine,K-nearest neighbor algorithms,Bagging and Adaboost,and the neural network were compared by some evaluation criteria.Results Learning algorithms can predict the deterioration of injured patients by monitoring the Bagging and SVM models with 99%accuracy.The most-fitted variables were Glasgow Coma Scale score,base deficit,and diastolic blood pressure especially after initial resuscitation in the algorithms for overall outcome predictions.Conclusion Data mining could help in triage,initial treatment,and further decision-making for outcome measures in trauma patients.Clinical and paraclinical variables after resuscitation could predict short-term outcomes much better than variables on arrival.With artificial intelligence modeling system,diastolic blood pressure after resuscitation has a greater association with predicting early mortality rather than systolic blood pressure after resuscitation.Artificial intelligence monitoring may have a role in trauma care and should be further investigated. 展开更多
关键词 Traumatic injuries Data mining Artificial Intelligence
右美托咪定对重症肺炎机械通气病儿肠屏障功能的影响 认领
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作者 王莉 蔡强 《安徽医药》 CAS 2021年第2期403-407,共5页
目的探讨右美托咪定(Dex)对重症肺炎机械通气病儿肠屏障功能的影响。方法选取2016年1月至2019年4月在宜宾市第二人民医院儿科重症监护室(PICU)收治的行机械通气治疗的重症肺炎病儿92例为研究对象。采用随机数字表法将其分为观察组和对照... 目的探讨右美托咪定(Dex)对重症肺炎机械通气病儿肠屏障功能的影响。方法选取2016年1月至2019年4月在宜宾市第二人民医院儿科重症监护室(PICU)收治的行机械通气治疗的重症肺炎病儿92例为研究对象。采用随机数字表法将其分为观察组和对照组,各46例。对照组予以咪达唑仑镇静,观察组予以Dex镇静。两组治疗时间为48 h。比较两组比用药前(T0)、用药后4 h(T1)、8 h(T1)、24 h(T3)、48 h(T4)心率(HR)和平均动脉压(MAP);比较两组T0、T3、T4炎性因子指标[肿瘤坏死因子-α(TNF-α)、白细胞介素-6(IL-6)]和肠道通透性的指标[二胺氧化酶(DAO)、D-乳酸(D-LAC)];比较两组治疗过程中药物不良反应。结果在T1、T2、T3、T4时观察组HR[分别为(112.43±6.12)次/分,(112.27±8.02)次/分,(110.33±9.89)次/分,(110.80±9.47)次/分]低于对照组(P<0.05);在T3、T4时,观察组血清TNF-a水平[分别为(26.53±3.30)pg/mL,(19.21±2.39)pg/mL]及IL-6水平[分别为(16.42±1.92)pg/mL,(12.09±1.59)pg/mL]低于对照组(P<0.05);观察组血清DAO[分别为(62.60±7.94)ng/L,(56.23±7.24)ng/L]、D-LAC水平[分别为(32.63±4.34)μmol/mL,(28.11±4.62)μmol/mL]及L/M[分别为(1.06±0.31),(0.52±0.11)]低于对照组(P<0.05);两组不良反应发生率组间比较差异无统计学意义(P>0.05)。结论Dex对重症肺炎机械通气病儿具有良好的镇静效果,且能有效减轻炎症反应和降低肠道黏膜通透性,改善肠道功能障碍,安全性较高。 展开更多
关键词 右美托咪定 肺炎 呼吸 人工 肠屏障 儿童 学龄前
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Larva fish assemblage structure in three-dimensional floating wetlands and non-floating wetlands in the Changjiang River estuary 认领
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作者 Xiaofeng HUANG Feng ZHAO +3 位作者 Chao SONG Yi CHAI Qian WANG Ping ZHUANG 《海洋湖沼学报(英文)》 SCIE CAS 2021年第2期721-731,共11页
Fish populations have declined in many estuarine and freshwater ecosystems in part due to the loss of habitat in recent decades.Reconstructing lost habitat for larvae fish is a potential method for recovering larvae f... Fish populations have declined in many estuarine and freshwater ecosystems in part due to the loss of habitat in recent decades.Reconstructing lost habitat for larvae fish is a potential method for recovering larvae fish populations.Three-dimensional artificial floating wetlands(AFWs)on which Phragmites australis was planted were experimentally deployed to recover the lost habitat in the Changjiang(Yangtze)River estuary from May to July 2018.The AFW area was characterized by slow velocity,high transparency,low dissolved oxygen,and relatively constant water temperature.The total individuals of larvae fish in the AFW area(12122 in total)was higher than that in the non-AFW area(1250 in total),and the densities of most larvae fish species were higher in the AFW habitat than in the non-AFW area.The distributions of larvae fish species were positively influenced by habitat type because they were strongly related to the negative part of the first axis of the redundancy analysis,and Cyprinus carpio and Cyprinus auratus were inclined to habitat in the slow velocity and high transparency AFW habitat area.These results indicate that larvae fish species are inclined to inhabit the AFW habitat.The use of three-dimensional P.australis AFWs would be a potential method for enhancing the habitat of larvae fish in the degraded habitats along the estuary. 展开更多
关键词 habitat rehabilitation larvae fish biodiversity conservation artificial floating wetland Changjiang(Yangtze)River estuary
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Artificial intelligence and the future of medicine: a multidimensional analysis 认领
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作者 Philippe Moingeon 《TMR生命研究》 2021年第1期59-66,共8页
This multidimensional analysis of the impact of artificial intelligence on the future of medicine aims to give some clues on foreseen categories of applications as well as their societal implications in terms of risks... This multidimensional analysis of the impact of artificial intelligence on the future of medicine aims to give some clues on foreseen categories of applications as well as their societal implications in terms of risks/benefits.Artificial intelligence encompasses technologies recapitulating four dimensions of human intelligence,i.e.sensing,thinking,acting and learning.Intelligent machines are converging with advancing biotechnologies to shape the future of medicine,in synergy with continuous progress in our understanding of system biology,brain physiology,biology of aging,computational sciences and decision-making theories.Data-driven predictive models of health-related problems can be generated to inform decisions and actions,allowing to enhance productivity in new drug development,increase the cost-effectiveness of fully integrated health care systems and empower patients and healthy individuals to better manage their disease or their health,respectively.Consequently,the future will likely take the form of a computational precision medicine continuously informed by data capture and modeling to propose preventive measures or therapies precisely tailored to characteristics of each individual. 展开更多
关键词 Artificial intelligence Biotechnologies Computational medicine Disease model Drug development Patient empowerment Precision medicine
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THE POWER OF ORIGINAL THINKING FOR CHANGE 认领
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作者 Lu Yan 《北京周报:英文版》 2021年第9期12-15,共4页
Significant progress achieved in science and technology Soon,you will be able to check out lunar soil in Beijing.The National Museum of China announced that it would exhibit the lunar samples brought back in December ... Significant progress achieved in science and technology Soon,you will be able to check out lunar soil in Beijing.The National Museum of China announced that it would exhibit the lunar samples brought back in December 2020 by the Chang’e-5 lunar probe.Preserved in a delicate container made of artificial crystal,the samples have already arrived at the museum.These are not just China’s first samples from Moon but also the world’s freshest lunar samples in over four decades. 展开更多
关键词 Beijing. LUNAR artificial
A renewable energy forecasting and control approach to secured edge-level efficiency in a distributed micro-grid 认领
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作者 Raphael Anaadumba Qi Liu +3 位作者 Bockarie Daniel Marah Francis Mawuli Nakoty Xiaodong Liu Yonghong Zhang 《Cybersecurity》 2021年第1期1-12,共12页
Energy forecasting using Renewable energy sources(RESs)is gradually gaining weight in the research field due to the benefits it presents to the modern-day environment.Not only does energy forecasting using renewable e... Energy forecasting using Renewable energy sources(RESs)is gradually gaining weight in the research field due to the benefits it presents to the modern-day environment.Not only does energy forecasting using renewable energy sources help mitigate the greenhouse effect,it also helps to conserve energy for future use.Over the years,several methods for energy forecasting have been proposed,all of which were more concerned with the accuracy of the prediction models with little or no considerations to the operating environment.This research,however,proposes the uses of Deep Neural Network(DNN)for energy forecasting on mobile devices at the edge of the network.This ensures low latency and communication overhead for all energy forecasting operations since they are carried out at the network periphery.Nevertheless,the cloud would be used as a support for the mobile devices by providing permanent storage for the locally generated data and a platform for offloading resource-intensive computations that exceed the capabilities of the local mobile devices as well as security for them.Electrical network topology was proposed which allows seamless incorporation of multiple RESs into the distributed renewable energy source(DRES)network.Moreover,a novel grid control algorithm that uses the forecasting model to administer a wellcoordinated and effective control for renewable energy sources(RESs)in the electrical network is designed.The electrical network was simulated with two RESs and a DNN model was used to create a forecasting model for the simulated network.The model was trained using a dataset from a solar power generation company in Belgium(elis)and was experimented with a different number of layers to determine the optimum architecture for performing the forecasting operations.The performance of each architecture was evaluated using the mean square error(MSE)and the r-square. 展开更多
关键词 Artificial neural network Distributed microgrid systems Renewable energy source Edge control scheme
Suspended sediment yield modeling in Mahanadi River, India by multi-objective optimization hybridizing artificial intelligence algorithms 认领
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作者 Arvind Yadav Snehamoy Chatterjee Sk Md Equeenuddin 《国际泥沙研究:英文版》 SCIE 2021年第1期76-91,共16页
River sediment produced through weathering is one of the principal landscape modification processes on earth.Rivers are an integral part of the hydrologic cycle and are the major geologic agents that erode the contine... River sediment produced through weathering is one of the principal landscape modification processes on earth.Rivers are an integral part of the hydrologic cycle and are the major geologic agents that erode the continents and transport water and sediments to the oceans.Estimation of suspended sediment yield is always a key parameter for planning and management of any river system.It is always challenging to model sediment yield using traditional mathematical models because they are incapable of handling the complex non-linearity and non-stationarity.The suspended sediment modeling of the river depends on the number of factors such as rock type,relief,rainfall,temperature,water discharge and catchment area.In this study,we proposed a hybrid genetic algorithm-based multi-objective optimization with artificial neural network(GA-MOO-ANN)with automated parameter tuning model using these factors to estimate the suspended sediment yield in the entire Mahanadi River basin.The model was validated by comparing statistically with other models,and it appeared that the GA-MOO-ANN model has the lowest root mean squared error(0.009)and highest coefficient of correlation(0.885)values among all comparative models(traditional neural network,multiple linear regression,and sediment rating curve)for all stations.It was also observed that the proposed model is the least biased(0.001)model.Thus,the proposed GA-MOOANN is the most capable model,compared to other studied models,for estimating the suspended sediment yield in the entire Mahanadi river basin,India.The results also suggested that the proposed GA-MOO-ANN model is unable to estimate suspended sediment yield satisfactorily at gauge stations having very small catchment areas whereas performing satisfactorily on locations having moderate to the large catchment area.The models provide the best result at Tikarapara,the gauge station location in the extreme downstream,having the largest catchment area. 展开更多
关键词 Artificial neural network Genetic algorithm Multi-objective genetic algorithm Suspended sediment yield Mahanadi river
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一氧化氮吸入联合高频通气对呼吸窘迫综合征患儿血气状态及并发症的影响 认领
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作者 季静 黄雅玲 +2 位作者 高健 马红梅 白梅 《中国现代医学杂志》 CAS 2021年第3期70-75,共6页
目的探讨吸入一氧化氮(NO)联合高频振荡通气(HFOV)方案用于重度呼吸窘迫综合征(RDS)患儿的疗效及安全性。方法选取2016年2月—2019年2月于辽宁省健康产业集团阜新矿总医院收治的62例重度RDS患儿。按治疗方式分为两组,30例接受常频通气+N... 目的探讨吸入一氧化氮(NO)联合高频振荡通气(HFOV)方案用于重度呼吸窘迫综合征(RDS)患儿的疗效及安全性。方法选取2016年2月—2019年2月于辽宁省健康产业集团阜新矿总医院收治的62例重度RDS患儿。按治疗方式分为两组,30例接受常频通气+NO吸入治疗患儿作为对照组,32例接受HFOV+NO吸入治疗患儿作为研究组,分析两组患儿血气状态改善、并发症等情况。结果研究组呼吸机治疗时间较对照组长(P<0.05)。研究组治疗后的pH、SaO2、PaO2、OI较对照组高(P<0.05),PaCO2、肺泡-动脉血氧分压差较对照组低(P<0.05)。研究组治疗后OI较对照组低(P<0.05)。两组并发症发生率比较,差异无统计学意义(P>0.05)。结论 HFOV+NO可有效改善RDS患儿血气状态,并发症较少,获得良好的疗效及安全性。 展开更多
关键词 呼吸窘迫综合征 新生儿 通气机 机械 血气分析
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高流量呼吸湿化治疗仪在程序化撤机中的应用 认领
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作者 张赞华 金盈盈 黄晨梦 《中国现代医学杂志》 CAS 2021年第3期76-79,共4页
目的探讨高流量呼吸湿化治疗仪在程序化撤机中的应用。方法选取2017年6月—2017年12月温州医科大学附属第二医院重症监护治疗病房(ICU)行程序化撤机的患者80例,按照其给氧方式意愿分为观察组43例和对照组37例。观察组给予高流量呼吸湿... 目的探讨高流量呼吸湿化治疗仪在程序化撤机中的应用。方法选取2017年6月—2017年12月温州医科大学附属第二医院重症监护治疗病房(ICU)行程序化撤机的患者80例,按照其给氧方式意愿分为观察组43例和对照组37例。观察组给予高流量呼吸湿化治疗仪给氧,对照组给予传统面罩给氧。记录两组患者在使用不同给氧方式后30 min、2 h和24 h的动脉血氧分压(PaO2)、血氧饱和度(SpO2)、改良英国医学研究会呼吸困难指数(mMRC)、痰液黏稠度、重新置管率和住院时间。结果不同时间点的PaO2、SpO2、mMRC均有差异(P<0.05);两组静息状态下PaO2、SpO2、mMRC均有差异(P<0.05),观察组PaO2、SpO2高于对照组,mMRC低于对照组;两组PaO2、SpO2、mMRC变化趋势有差异(P<0.05);给氧后30 min和给氧后2 h,两组PaO2、SpO2、mMRC及痰液黏稠度分级均无差异(P>0.05);给氧后24 h,观察组PaO2、SpO2均高于对照组(P<0.05),mMRC低于对照组(P<0.05),痰液黏稠度分级优于对照组(P<0.05)。观察组重新置管率低于对照组(P<0.05),住院时间短于对照组(P<0.05)。结论高流量呼吸湿化治疗仪在程序化撤机中的应用效果较好,值得临床推广使用。 展开更多
关键词 机械通气 高流量呼吸湿化治疗仪 程序化撤机 效果
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心肺复苏时呼吸机高压报警上限与吸气触发灵敏度合理设置的临床研究 认领
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作者 王伟钟 姚晓燕 +2 位作者 徐唯超 石祝君 马红丽 《中国现代医学杂志》 CAS 2021年第3期80-83,共4页
目的观察心肺复苏时呼吸机不同高压报警上限和吸气触发灵敏度设置对复苏效果的影响,探讨心肺复苏时合理的高压报警上限和吸气触发灵敏度设置,提高心肺复苏效果。方法选取2015年12月-2018年12月绍兴市人民医院收治的53例心肺复苏患者,采... 目的观察心肺复苏时呼吸机不同高压报警上限和吸气触发灵敏度设置对复苏效果的影响,探讨心肺复苏时合理的高压报警上限和吸气触发灵敏度设置,提高心肺复苏效果。方法选取2015年12月-2018年12月绍兴市人民医院收治的53例心肺复苏患者,采用随机数字表法分为A组27例和B组26例。A组高压报警上限设置为80 cmH2O,吸气触发灵敏度选择压力触发-20 cmH2O;B组按常规设置,高压报警上限设置为35 cmH2O,吸气触发灵敏度选择流量触发3。监测两组2 min、10 min、20 min、30 min时呼出潮气量、呼吸频率、呼气末二氧化碳分压(PETCO2)及动脉血氧分压(PaO2),并比较两组复苏成功率。结果 A组不同时间点呼出潮气量、PETCO2、PaO2高于B组(P<0.05);而各时间点呼吸频率低于B组(P<0.05)。A组30min时复苏成功率高于B组(P<0.05)。结论高压报警上限设置为80 cmH2O,触发选择压力触发-20 cmH2O可提高心肺复苏的疗效。 展开更多
关键词 心脏病 心脏停搏 心肺复苏术 通气机 机械 对比研究
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揿针疗法对人工流产术中镇痛的影响 认领
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作者 黄笑艳 周欢 《上海针灸杂志》 2021年第3期315-318,共4页
目的观察揿针疗法对人工流产术中镇痛的影响。方法将120例早孕进行人工流产手术且不选择行静脉麻醉的初次妊娠孕妇按随机数字表法分成观察组和对照组,每组60例。对照组采用常规利多卡因宫颈注射,观察组在对照组的基础上采用揿针治疗。... 目的观察揿针疗法对人工流产术中镇痛的影响。方法将120例早孕进行人工流产手术且不选择行静脉麻醉的初次妊娠孕妇按随机数字表法分成观察组和对照组,每组60例。对照组采用常规利多卡因宫颈注射,观察组在对照组的基础上采用揿针治疗。比较两组人工流产术中疼痛程度、宫颈口扩张程度、出血量及人工流产综合征的发生率。结果观察组镇痛效果的总有效率为96.7%,高于对照组的81.7%,差异有统计学意义(P<0.05)。观察组宫颈口扩张的总有效率为91.7%,明显高于对照组的76.7%,差异有统计学意义(P<0.05)。两组人工流产术中出血量及人工流产综合征的发生率比较差异无统计学意义(P>0.05)。结论揿针联合利多卡因宫颈注射能有效扩张宫颈口,减轻患者术中疼痛。 展开更多
关键词 揿针 皮内针疗法 流产 人工 镇痛
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A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems 认领
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作者 Yirui Wang Shangce Gao +1 位作者 Mengchu Zhou Yang Yu 《自动化学报:英文版》 SCIE EI 2021年第1期94-109,共16页
A gravitational search algorithm(GSA)uses gravitational force among individuals to evolve population.Though GSA is an effective population-based algorithm,it exhibits low search performance and premature convergence.T... A gravitational search algorithm(GSA)uses gravitational force among individuals to evolve population.Though GSA is an effective population-based algorithm,it exhibits low search performance and premature convergence.To ameliorate these issues,this work proposes a multi-layered GSA called MLGSA.Inspired by the two-layered structure of GSA,four layers consisting of population,iteration-best,personal-best and global-best layers are constructed.Hierarchical interactions among four layers are dynamically implemented in different search stages to greatly improve both exploration and exploitation abilities of population.Performance comparison between MLGSA and nine existing GSA variants on twenty-nine CEC2017 test functions with low,medium and high dimensions demonstrates that MLGSA is the most competitive one.It is also compared with four particle swarm optimization variants to verify its excellent performance.Moreover,the analysis of hierarchical interactions is discussed to illustrate the influence of a complete hierarchy on its performance.The relationship between its population diversity and fitness diversity is analyzed to clarify its search performance.Its computational complexity is given to show its efficiency.Finally,it is applied to twenty-two CEC2011 real-world optimization problems to show its practicality. 展开更多
关键词 Artificial intelligence exploration and exploitation gravitational search algorithm hierarchical interaction HIERARCHY machine learning population structure
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Technologies Supporting Artificial Intelligence and Robotics Application Development 认领
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作者 Yinong Chen Gennaro De Luca 《人工智能技术学报(英文)》 2021年第1期1-8,共8页
Artificial intelligence(AI)and robotics have gone through three generations of development,from Turing test,logic theory machine,to expert system and self-driving car.In the third-generation today,AI and robotics have... Artificial intelligence(AI)and robotics have gone through three generations of development,from Turing test,logic theory machine,to expert system and self-driving car.In the third-generation today,AI and robotics have collaboratively been used in many areas in our society,including industry,business,manufacture,research,and education.There are many challenging problems in developing AI and robotics applications.We launch this new Journal of Artificial Intelligence and Technology to facilitate the exchange of the latest research and practice in AI and technologies.In this inaugural issue,we first introduce a few key technologies and platforms supporting the third-generation AI and robotics application development based on stacks of technologies and platforms.We present examples of such development environments created by both industry and academia.We also selected eight papers in the related areas to celebrate the foundation of this journal. 展开更多
关键词 artificial intelligence ROBOTICS machine learning EDUCATION
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Analysis of effects of operating parameters on rate of penetration in drilling process with air down-the-hole hammer 认领
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作者 HO Yinchol PAK Kumdol +3 位作者 PENG Jianming RI Jaemyong KIM Yongnam CHOE Cholho 《世界地质:英文版》 2021年第1期64-70,共7页
Air down-the-hole(DTH)hammer drilling has long been recognized to have the potential of drilling faster than conventional rotary drill,especially in some hard rocks such as granite,sandstone,limestone,dolomite,etc.wit... Air down-the-hole(DTH)hammer drilling has long been recognized to have the potential of drilling faster than conventional rotary drill,especially in some hard rocks such as granite,sandstone,limestone,dolomite,etc.with the same weight on bit(WOB)and rotations per minute(RPM).So,it has been widely used in many drilling fields including mineral resource exploration drilling,oil and gas drilling and geothermal drilling.In order to reduce drilling cost by selecting optimal drilling parameters,rate of penetration(ROP)should be estimated accurately and the effects of different factors on ROP should be analyzed.In this research,ANN model with several multi-layer perception back propagation(BP)networks for predicting ROP of air DTH hammer drilling was developed using controllable parameters such as impact energy,impact frequency,WOB,RPM and bit operating time for the formations with a certain drillability index of rock.Several BP neural networks with the different neurons in hidden layers were developed and compared for selecting optimal architecture of ANN.The effects of the drilling parameters such as impact energy,impacting frequency,WOB,RPM and bit operating time on the ROP of air DTH hammer drilling were investigated by trained ANN.From the analyses,the optimum range of drilling parameters for providing high ROP were determined and analyzed for a formation with a certain drillability index of rock.The methodology proposed in this study can be used in many mathematical problems for optimization of drilling process with air DTH hammer. 展开更多
关键词 ROP air DTH hammer drilling drilling parameter artificial neural network optimization
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Fluid-driven artificialmuscles: bio-design, manufacturing, sensing, control, and applications 认领
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作者 Chao Zhang Pingan Zhu +4 位作者 Yangqiao Lin Wei Tang Zhongdong Jiao Huayong Yang Jun Zou 《生物设计与制造(英文)》 SCIE 2021年第1期123-145,共23页
Developing artificial muscles that can replace biological muscles to accomplish various tasks iswhat we have long been aiming for.Recent advances in flexible materials and 3D printing technology greatly promote the de... Developing artificial muscles that can replace biological muscles to accomplish various tasks iswhat we have long been aiming for.Recent advances in flexible materials and 3D printing technology greatly promote the development of artificial muscle technology.A variety of flexible material-based artificial muscles that are driven by different external stimuli,including pressure,voltage,light,magnetism,temperature,etc.,have been developed.Among these,fluid-driven artificial muscles(FAMs),which can convert the power of fluid(gas or liquid)into the force output and displacement of flexible materials,are the most widely used actuation methods for industrial robots,medical instruments,and human-assisted devices due to their simplicity,excellent safety,large actuation force,high energy efficiency,and low cost.Herein,the bio-design,manufacturing,sensing,control,and applications of FAMs are introduced,including conventional pneumatic/hydraulic artificial muscles and several innovative artificial muscles driven by functional fluids.What’s more,the challenges and future directions of FAMs are discussed. 展开更多
关键词 Artificial muscles FLUID Bio-design MANUFACTURING Sensoring CONTROL
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