Hypertensive brain stem encephalopathy(HBE) is a rare, under diagnosed subtype of hypertensive encephalopathy(HE) which is usually reversible, but with a potentially fatal outcome if hypertension is not managed prompt...Hypertensive brain stem encephalopathy(HBE) is a rare, under diagnosed subtype of hypertensive encephalopathy(HE) which is usually reversible, but with a potentially fatal outcome if hypertension is not managed promptly. To the best of our knowledge, only one case of HE with brain stem hemorrhage has been reported. We report a case of HBE with pontine hemorrhage in a 36-year-old male patient. The patient developed severe arterial hypertension associated with initial computed tomography showing the left basilar part of pons hemorrhage, fluid-attenuated inversion-recovery showing hyperintense signals in the pons and bilateral periventricular, anterior part of bilateral centrum ovale. The characteristic clinical findings were walking difficulty, right leg weakness, and mild headache with nausea which corresponded to the lesions of MR imagings. The lesions improved gradually with improvements in hypertension, which suggested that edema could be the principal cause of the unusual hyperintensity on magnetic resonance images.展开更多
BACKGROUND:Cognitive impairment after stroke associates with various factors,such as age,educational years,etc.Besides concerning about the recovery of limb function after stroke,we should also focus on the rehabilita...BACKGROUND:Cognitive impairment after stroke associates with various factors,such as age,educational years,etc.Besides concerning about the recovery of limb function after stroke,we should also focus on the rehabilitation of cognition.Moreover,we’d better pay attention to the control of all the risk factors of stroke,and improve the quality of life in stroke patients.OBJECTIVE:To analyze the factors that affect cognitive impairment after stroke.DESIGN:A related factors analysis.SETTINGS:Department of Neurology of Dalian Port Hospital and Dalian Second People’s Hospital.PARTICIPANTS:Totally 148 stroke inpatients were selected from Department of Neurology,Dalian Port Hospital and Dalian Second People’s Hospital from April 2004 to December 2005,including 100 males and 48 females,aging 45-75 years with an average age of(67±8)years;Their educational years ranged 2-10 years with an average of(6.1±3.7)years;The disease course ranged 15-30 days;All were right-handed.Inclusive criteria:All were accorded with the diagnostic standard set by the Fourth National Academic Meeting for Cerebrovascular Disease;Confirmed by CT or MRI;Informed consents were obtained from all the subjects.METHODS:After the disease conditions were stable,the patients were assessed with Wechsler memory scale(WMS)and Wisconsin card sorting test(WCST).WMS included forward and backward recitation of numbers and short-term memory(verbal memory,visual recognition).The number of times for correct and wrong classifications in WCST and the time to complete the trail making tests A and B were recorded.The focal volume,area and layer were recorded at 24 hours after admission.The general data of the patients were recorded,including name,sex,age,educational years,history of hypertension,history of diabetes mellitus.Electroencepalograph(EEG)was examined to record the wave shape,blood lipids were detected,and the cognition related indexes were analyzed with the Pearson correlation analysis.The correlation between cognitive indexes after stroke and the influencing factors were analyzed with multiple linear regression analysis.MAIN OUTCOME MEASURES:①Correlation between cognitive indexes and imaging indexes;②Influencing factors for cognitive indexes after stroke.RESULTS:All the 148 stroke patients were involved in the analysis of results.①Correlation between cognitive indexes and CT indexes:There were obvious negative correlations between numerical symbol and focal layer(r=-0.234,P<0.05),as well as between verbal memory and the focal area and volume(r=-0.363,-0.279,P<0.05);Trail making test A had obvious positive correlation with focal area and volume(r=0.256,0.256,P<0.05).Results of multiple linear regression analysis:Correct classification was correlated with triglyceride(partial wave andθwave(partial regression coefficient=0.231-0.908,P<0.05);Verbal memory was correlated with EEGαwave,focal volume,sex,educational years and diabetes mellitus(partial regression coefficient=0.219-1.017,P<0.05-0.01).Visual recognition had correlation with educational years and hypertension(partial regression coefficient=0.326,-1.163,P<0.01).Trail making tests A and B were correlated with focal volume(partial regression coefficient=4.680,-18.561,P<0.05).CONCLUSION:The factors that affect the cognitive function after stroke include sex,age,educational years,hypertension,diabetes mellitus,triglyceride,EEG wave shape,and the focal area,volume and layer.展开更多
Fabric of carbonate rock is the important foundation and one of main research contents for study on carbonate sedimentology,and has always been the attention of the academic circles.Botryoidal structures from the Sini...Fabric of carbonate rock is the important foundation and one of main research contents for study on carbonate sedimentology,and has always been the attention of the academic circles.Botryoidal structures from the Sinian Dengying Formation in the Sichuan Basin is a kind of special carbonate fabric,the fabric is named after the shape of a grape.In this paper,from four aspects of the research status,the definition of the botryoidal structures and the related terms,the construction characteristics of the botryoidal structures,the component of the botryoidal structures,geochemical characteristics and the genesis of the botryoidal structures are reviewed.It points out the current research issues of botryoidal structures from the Sinian Dengying Formation in the Sichuan Basin,and put forward that future research should focus on the accurate analysis of its internal construction,precipitation mechanism of the major components,and the construction mechanism of botryoidal structures.展开更多
Target detection technology has been widely used,while it is less applied in portable equipment as it has certain requirements for devices.For instance,the inventory of rebar is still manually counted at present.In th...Target detection technology has been widely used,while it is less applied in portable equipment as it has certain requirements for devices.For instance,the inventory of rebar is still manually counted at present.In this paper,a lightweight network that adapts mobile devices is proposed to accomplish the task more intelligently and efficiently.Based on the existing method of detection and recognition of dense small objects,the research of rebar recognition was implemented.After designing the multi-resolution input model and training the data set of rebar,the efficiency of detection was improved significantly.Experiments prove that the method proposed has the advantages of higher detection degree,fewer model parameters,and shorter training time for rebar recognition.展开更多
文摘Hypertensive brain stem encephalopathy(HBE) is a rare, under diagnosed subtype of hypertensive encephalopathy(HE) which is usually reversible, but with a potentially fatal outcome if hypertension is not managed promptly. To the best of our knowledge, only one case of HE with brain stem hemorrhage has been reported. We report a case of HBE with pontine hemorrhage in a 36-year-old male patient. The patient developed severe arterial hypertension associated with initial computed tomography showing the left basilar part of pons hemorrhage, fluid-attenuated inversion-recovery showing hyperintense signals in the pons and bilateral periventricular, anterior part of bilateral centrum ovale. The characteristic clinical findings were walking difficulty, right leg weakness, and mild headache with nausea which corresponded to the lesions of MR imagings. The lesions improved gradually with improvements in hypertension, which suggested that edema could be the principal cause of the unusual hyperintensity on magnetic resonance images.
文摘BACKGROUND:Cognitive impairment after stroke associates with various factors,such as age,educational years,etc.Besides concerning about the recovery of limb function after stroke,we should also focus on the rehabilitation of cognition.Moreover,we’d better pay attention to the control of all the risk factors of stroke,and improve the quality of life in stroke patients.OBJECTIVE:To analyze the factors that affect cognitive impairment after stroke.DESIGN:A related factors analysis.SETTINGS:Department of Neurology of Dalian Port Hospital and Dalian Second People’s Hospital.PARTICIPANTS:Totally 148 stroke inpatients were selected from Department of Neurology,Dalian Port Hospital and Dalian Second People’s Hospital from April 2004 to December 2005,including 100 males and 48 females,aging 45-75 years with an average age of(67±8)years;Their educational years ranged 2-10 years with an average of(6.1±3.7)years;The disease course ranged 15-30 days;All were right-handed.Inclusive criteria:All were accorded with the diagnostic standard set by the Fourth National Academic Meeting for Cerebrovascular Disease;Confirmed by CT or MRI;Informed consents were obtained from all the subjects.METHODS:After the disease conditions were stable,the patients were assessed with Wechsler memory scale(WMS)and Wisconsin card sorting test(WCST).WMS included forward and backward recitation of numbers and short-term memory(verbal memory,visual recognition).The number of times for correct and wrong classifications in WCST and the time to complete the trail making tests A and B were recorded.The focal volume,area and layer were recorded at 24 hours after admission.The general data of the patients were recorded,including name,sex,age,educational years,history of hypertension,history of diabetes mellitus.Electroencepalograph(EEG)was examined to record the wave shape,blood lipids were detected,and the cognition related indexes were analyzed with the Pearson correlation analysis.The correlation between cognitive indexes after stroke and the influencing factors were analyzed with multiple linear regression analysis.MAIN OUTCOME MEASURES:①Correlation between cognitive indexes and imaging indexes;②Influencing factors for cognitive indexes after stroke.RESULTS:All the 148 stroke patients were involved in the analysis of results.①Correlation between cognitive indexes and CT indexes:There were obvious negative correlations between numerical symbol and focal layer(r=-0.234,P<0.05),as well as between verbal memory and the focal area and volume(r=-0.363,-0.279,P<0.05);Trail making test A had obvious positive correlation with focal area and volume(r=0.256,0.256,P<0.05).Results of multiple linear regression analysis:Correct classification was correlated with triglyceride(partial wave andθwave(partial regression coefficient=0.231-0.908,P<0.05);Verbal memory was correlated with EEGαwave,focal volume,sex,educational years and diabetes mellitus(partial regression coefficient=0.219-1.017,P<0.05-0.01).Visual recognition had correlation with educational years and hypertension(partial regression coefficient=0.326,-1.163,P<0.01).Trail making tests A and B were correlated with focal volume(partial regression coefficient=4.680,-18.561,P<0.05).CONCLUSION:The factors that affect the cognitive function after stroke include sex,age,educational years,hypertension,diabetes mellitus,triglyceride,EEG wave shape,and the focal area,volume and layer.
基金This study was supported by the National Natural Science Foundation of China(Grant No.41402126)the National Science and Technology Major Project(Grant No.2016ZX05004002-001).
文摘Fabric of carbonate rock is the important foundation and one of main research contents for study on carbonate sedimentology,and has always been the attention of the academic circles.Botryoidal structures from the Sinian Dengying Formation in the Sichuan Basin is a kind of special carbonate fabric,the fabric is named after the shape of a grape.In this paper,from four aspects of the research status,the definition of the botryoidal structures and the related terms,the construction characteristics of the botryoidal structures,the component of the botryoidal structures,geochemical characteristics and the genesis of the botryoidal structures are reviewed.It points out the current research issues of botryoidal structures from the Sinian Dengying Formation in the Sichuan Basin,and put forward that future research should focus on the accurate analysis of its internal construction,precipitation mechanism of the major components,and the construction mechanism of botryoidal structures.
基金Hainan Science and Technology Project,which is Research and development of intelligent customer service system based on deep learning(No.ZDYF2018017)Thanks to Professor Caimao Li,the correspondent of this paper.
文摘Target detection technology has been widely used,while it is less applied in portable equipment as it has certain requirements for devices.For instance,the inventory of rebar is still manually counted at present.In this paper,a lightweight network that adapts mobile devices is proposed to accomplish the task more intelligently and efficiently.Based on the existing method of detection and recognition of dense small objects,the research of rebar recognition was implemented.After designing the multi-resolution input model and training the data set of rebar,the efficiency of detection was improved significantly.Experiments prove that the method proposed has the advantages of higher detection degree,fewer model parameters,and shorter training time for rebar recognition.
