Background: Post myocardial infarction depression is common and puts a negative effect on recovery. Modified Nursing interventions effectively reduce the frequency and severity of depression in such patients. Objectiv...Background: Post myocardial infarction depression is common and puts a negative effect on recovery. Modified Nursing interventions effectively reduce the frequency and severity of depression in such patients. Objective: The study aimed to determine the effectiveness of Modified Nursing Interventions Classification (NIC) in reducing the severity of depression among patients with Myocardial Infarction. Methods: Sixty-eight stable patients with myocardial infarction (>1 month history) having mild to moderate depression in accordance to Patient Health Questionnaire-9 (PHQ-9) [with a score of 5 to 14] were enrolled. Patients were assorted into interventional and control group. Modified Nursing Intervention was offered in Interventional Group. The frequency and effectiveness of Modified Nursing Intervention among the groups were determined and compared. Results: Both moderate and mild level depression was decreased in Intervention Group as compare to Control Group. Baseline mean depression PHQ-9 score was 2.35 point statistically significantly higher in the Control Group than Interventional Group (Conclusion: Modified Nursing intervention is effective in reducing the frequency and severity of depression compared to routine care in patients with Myocardial infarction.展开更多
Renal cysts in pediatric patients are uncommon lesion. A modified Bosniak classification system for renal cysts based on US has been developed to evaluate pediatric renal cysts to identify the simple cyst or cystic tu...Renal cysts in pediatric patients are uncommon lesion. A modified Bosniak classification system for renal cysts based on US has been developed to evaluate pediatric renal cysts to identify the simple cyst or cystic tumour. Never</span><span style="font-family:Verdana;">theless, it is not widely used. In this retrospective study, all incidentally detected renal cysts by ultrasound performed in children and the reproducibility of modified Bosniak classification to guide the radiological and clinical follow up</span><span style="font-family:Verdana;">.展开更多
This paper addresses the issue of the direction of arrival （DOA） estimation under the compressive sampling （CS） framework. A novel approach, modified multiple signal classification （MMUSIC） based on the CS array...This paper addresses the issue of the direction of arrival （DOA） estimation under the compressive sampling （CS） framework. A novel approach, modified multiple signal classification （MMUSIC） based on the CS array （CSA-MMUSIC）, is proposed to resolve the DOA estimation of correlated signals and two closely adjacent signals. By using two random CS matrices, a large size array is compressed into a small size array, which effectively reduces the number of the front end circuit. The theoretical analysis demonstrates that the proposed approach has the advantages of low computational complexity and hardware structure compared to other MMUSIC approaches. Simulation results show that CSAMMUSIC can possess similar angular resolution as MMUSIC.展开更多
An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the ...An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.展开更多
This paper offers a symbiosis based hybrid modified DNA-ABC optimization algorithm which combines modified DNA concepts and artificial bee colony (ABC) algorithm to aid hierarchical fuzzy classification. According to ...This paper offers a symbiosis based hybrid modified DNA-ABC optimization algorithm which combines modified DNA concepts and artificial bee colony (ABC) algorithm to aid hierarchical fuzzy classification. According to literature, the ABC algorithm is traditionally applied to constrained and unconstrained problems, but is combined with modified DNA concepts and implemented for fuzzy classification in this present research. Moreover, from the best of our knowledge, previous research on the ABC algorithm has not combined it with DNA computing for hierarchical fuzzy classification to explore the merits of cooperative coevolution. Therefore, this paper is the first to apply the mechanism of symbiosis to create a hybrid modified DNA-ABC algorithm for hierarchical fuzzy classification applications. In this study, the partition number and the shape of the membership function are extracted by the symbiosis based hybrid modified DNA-ABC optimization algorithm, which provides both sufficient global exploration and also adequate local exploitation for hierarchical fuzzy classification. The proposed optimization algorithm is applied on five benchmark University of Irvine (UCI) data sets, and the results prove the efficiency of the algorithm.展开更多
目的:利用改良的basic and specific(BASP)分类分级法探讨雄激素性秃发(AGA)家族遗传史与其秃发类型、发病年龄、秃发严重程度及疗效的关系。方法:收集2013年1月—2014年12月来南京医科大学第一附属医院皮肤科毛发疾病门诊就诊的AGA患...目的:利用改良的basic and specific(BASP)分类分级法探讨雄激素性秃发(AGA)家族遗传史与其秃发类型、发病年龄、秃发严重程度及疗效的关系。方法:收集2013年1月—2014年12月来南京医科大学第一附属医院皮肤科毛发疾病门诊就诊的AGA患者。根据患者脱发情况进行改良的BASP分型,按照其脱发家族史进行分组,利用统计软件SPSS 22.0进行分析。结果:男性AGA患者家族史阳性率明显高于女性。AGA患者的基本秃发类型在父子间具有相关性。有AGA家族史的男性患者比无家族史患者在相同发病时间内脱发更严重,而女性患者脱发严重程度受家族史影响小。有AGA家族史患者平均发病年龄比无家族史患者早。AGA家族史对于治疗脱发疗效无影响。结论:有AGA家族史患者发病年龄早,脱发严重程度加重,且不同族系、不同亲缘级别的家族史对于患者脱发类型、严重程度的影响也不同,不同性别的患者受家族史的影响也有差别。展开更多
文摘Background: Post myocardial infarction depression is common and puts a negative effect on recovery. Modified Nursing interventions effectively reduce the frequency and severity of depression in such patients. Objective: The study aimed to determine the effectiveness of Modified Nursing Interventions Classification (NIC) in reducing the severity of depression among patients with Myocardial Infarction. Methods: Sixty-eight stable patients with myocardial infarction (>1 month history) having mild to moderate depression in accordance to Patient Health Questionnaire-9 (PHQ-9) [with a score of 5 to 14] were enrolled. Patients were assorted into interventional and control group. Modified Nursing Intervention was offered in Interventional Group. The frequency and effectiveness of Modified Nursing Intervention among the groups were determined and compared. Results: Both moderate and mild level depression was decreased in Intervention Group as compare to Control Group. Baseline mean depression PHQ-9 score was 2.35 point statistically significantly higher in the Control Group than Interventional Group (Conclusion: Modified Nursing intervention is effective in reducing the frequency and severity of depression compared to routine care in patients with Myocardial infarction.
文摘Renal cysts in pediatric patients are uncommon lesion. A modified Bosniak classification system for renal cysts based on US has been developed to evaluate pediatric renal cysts to identify the simple cyst or cystic tumour. Never</span><span style="font-family:Verdana;">theless, it is not widely used. In this retrospective study, all incidentally detected renal cysts by ultrasound performed in children and the reproducibility of modified Bosniak classification to guide the radiological and clinical follow up</span><span style="font-family:Verdana;">.
基金supported by the National Natural Science Foundation of China(6117119761371045+2 种基金61201307)the Shandong Provincial Natural Science Foundation(ZR2011FM005)the Shandong Provincial Promotive Research Fund for Excellent Young and Middle-aged Scientists(BS2010DX001)
文摘This paper addresses the issue of the direction of arrival （DOA） estimation under the compressive sampling （CS） framework. A novel approach, modified multiple signal classification （MMUSIC） based on the CS array （CSA-MMUSIC）, is proposed to resolve the DOA estimation of correlated signals and two closely adjacent signals. By using two random CS matrices, a large size array is compressed into a small size array, which effectively reduces the number of the front end circuit. The theoretical analysis demonstrates that the proposed approach has the advantages of low computational complexity and hardware structure compared to other MMUSIC approaches. Simulation results show that CSAMMUSIC can possess similar angular resolution as MMUSIC.
基金Supported by National Natural Science Foundation of China (No. 40872193)
文摘An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.
文摘This paper offers a symbiosis based hybrid modified DNA-ABC optimization algorithm which combines modified DNA concepts and artificial bee colony (ABC) algorithm to aid hierarchical fuzzy classification. According to literature, the ABC algorithm is traditionally applied to constrained and unconstrained problems, but is combined with modified DNA concepts and implemented for fuzzy classification in this present research. Moreover, from the best of our knowledge, previous research on the ABC algorithm has not combined it with DNA computing for hierarchical fuzzy classification to explore the merits of cooperative coevolution. Therefore, this paper is the first to apply the mechanism of symbiosis to create a hybrid modified DNA-ABC algorithm for hierarchical fuzzy classification applications. In this study, the partition number and the shape of the membership function are extracted by the symbiosis based hybrid modified DNA-ABC optimization algorithm, which provides both sufficient global exploration and also adequate local exploitation for hierarchical fuzzy classification. The proposed optimization algorithm is applied on five benchmark University of Irvine (UCI) data sets, and the results prove the efficiency of the algorithm.
文摘目的:利用改良的basic and specific(BASP)分类分级法探讨雄激素性秃发(AGA)家族遗传史与其秃发类型、发病年龄、秃发严重程度及疗效的关系。方法:收集2013年1月—2014年12月来南京医科大学第一附属医院皮肤科毛发疾病门诊就诊的AGA患者。根据患者脱发情况进行改良的BASP分型,按照其脱发家族史进行分组,利用统计软件SPSS 22.0进行分析。结果:男性AGA患者家族史阳性率明显高于女性。AGA患者的基本秃发类型在父子间具有相关性。有AGA家族史的男性患者比无家族史患者在相同发病时间内脱发更严重,而女性患者脱发严重程度受家族史影响小。有AGA家族史患者平均发病年龄比无家族史患者早。AGA家族史对于治疗脱发疗效无影响。结论:有AGA家族史患者发病年龄早,脱发严重程度加重,且不同族系、不同亲缘级别的家族史对于患者脱发类型、严重程度的影响也不同,不同性别的患者受家族史的影响也有差别。
