目的探讨个体化信息支持对抑郁障碍患者自杀态度的影响。方法将2016年1月—12月100例住院治疗的抑郁障碍患者分为研究组和对照组。对照组给予常规的精神科护理干预和随访;研究组在此基础上给予个体化信息支持干预。分别于干预前、干预...目的探讨个体化信息支持对抑郁障碍患者自杀态度的影响。方法将2016年1月—12月100例住院治疗的抑郁障碍患者分为研究组和对照组。对照组给予常规的精神科护理干预和随访;研究组在此基础上给予个体化信息支持干预。分别于干预前、干预后、出院后6个月和出院后12个月共4次运用汉密尔顿抑郁量表(Hamilton depression rating scale for depression,HAMD)、自杀态度问卷(questionnaire of suicide attitude,QSA)对两组患者进行测评。结果经过8周的情感体验和个体化信息支持后,研究组HAMD总分明显低于对照组,研究组对自杀行为性质认识、对自杀者态度、对自杀者家属的态度和对安乐死的态度4个维度均分明显高于对照组,差异有统计学意义(P<0.05或P<0.01);组内自身对照两组患者HAMD总分明显下降,对自杀行为性质认识、对自杀者态度、对自杀者家属的态度和对安乐死的态度4个维度均分明显提高,差异有统计学意义(P<0.01)。结论个体化信息支持能够明显改善抑郁障碍患者的抑郁情绪和自杀态度,消除自杀意念,减少自杀行为的发生。展开更多
In this paper,according to the defect of methods which have low identification rate in low SNR,a new individual identification method of radiation source based on information entropy feature and SVM is presented. Firs...In this paper,according to the defect of methods which have low identification rate in low SNR,a new individual identification method of radiation source based on information entropy feature and SVM is presented. Firstly,based on the theory of multi-resolution wavelet analysis,the wavelet power spectrum of noncooperative signal can be gotten. Secondly,according to the information entropy theory,the wavelet power spectrum entropy is defined in this paper. Therefore,the database of signal's wavelet power spectrum entropy can be built in different SNR and signal parameters. Finally,the sorting and identification model based on SVM is built for the individual identification of radiation source signal. The simulation result indicates that this method has a high individual's identification rate in low SNR,when the SNR is greater than 4 dB,the identification rate can reach 100%. Under unstable SNR conditions,when the range of SNR is between 0 dB and 24 dB,the average identification rate is more than 92. 67%. Therefore,this method has a great application value in the complex electromagnetic environment.展开更多
This study examines the key factors that have impact on the successful adoption of Human Resource Information System (HRIS) within the Aqaba Special Economic Zone Authority (ASEZA)/Jordan. In order to accomplish the p...This study examines the key factors that have impact on the successful adoption of Human Resource Information System (HRIS) within the Aqaba Special Economic Zone Authority (ASEZA)/Jordan. In order to accomplish the purpose of the study four critical factors are inquired. So, four critical factors are inquired: First, TAM Model (Perceived Ease of Use (PEOU) and Perceived Usefulness (PU)). Second, Information Technology Infrastructure (ITI). Third, Top Management Support (TMS). Finally, Individual Experience with Computer (IEC). The research model was applied to collect data from the questionnaires answered by 45 users of HRIS as a source of primary data, based on a convenience sample the response rate was about 91%. In addition, the results were analyzed by utilizing the Statistical Package for Social Software (SPSS). Furthermore, the findings were analyzed;multiple Regression analysis indicated that all research variables have significant relationship on successful adoption of HRIS. The findings indicated IT infrastructures have a positive and significant effect on the successful adoption of HRIS. But there is no significant of PU, PEOU, TMS, and IEC on the successful adoption of HRIS. Finally, the results indicated that no significant statistical differences of demographic characteristics on HRIS adoption. Depending on the research’s findings;the researchers proposed a set of recommendations for better adoption of HRIS in SEZA.展开更多
文摘目的探讨个体化信息支持对抑郁障碍患者自杀态度的影响。方法将2016年1月—12月100例住院治疗的抑郁障碍患者分为研究组和对照组。对照组给予常规的精神科护理干预和随访;研究组在此基础上给予个体化信息支持干预。分别于干预前、干预后、出院后6个月和出院后12个月共4次运用汉密尔顿抑郁量表(Hamilton depression rating scale for depression,HAMD)、自杀态度问卷(questionnaire of suicide attitude,QSA)对两组患者进行测评。结果经过8周的情感体验和个体化信息支持后,研究组HAMD总分明显低于对照组,研究组对自杀行为性质认识、对自杀者态度、对自杀者家属的态度和对安乐死的态度4个维度均分明显高于对照组,差异有统计学意义(P<0.05或P<0.01);组内自身对照两组患者HAMD总分明显下降,对自杀行为性质认识、对自杀者态度、对自杀者家属的态度和对安乐死的态度4个维度均分明显提高,差异有统计学意义(P<0.01)。结论个体化信息支持能够明显改善抑郁障碍患者的抑郁情绪和自杀态度,消除自杀意念,减少自杀行为的发生。
基金Sponsored by the Nation Nature Science Foundation of China(Grant No.61201237,61301095)the Nature Science Foundation of Heilongjiang Province of China(Grant No.QC2012C069)the Fundamental Research Funds for the Central Universities(Grant No.HEUCFZ1129,HEUCF130817,HEUCF130810)
文摘In this paper,according to the defect of methods which have low identification rate in low SNR,a new individual identification method of radiation source based on information entropy feature and SVM is presented. Firstly,based on the theory of multi-resolution wavelet analysis,the wavelet power spectrum of noncooperative signal can be gotten. Secondly,according to the information entropy theory,the wavelet power spectrum entropy is defined in this paper. Therefore,the database of signal's wavelet power spectrum entropy can be built in different SNR and signal parameters. Finally,the sorting and identification model based on SVM is built for the individual identification of radiation source signal. The simulation result indicates that this method has a high individual's identification rate in low SNR,when the SNR is greater than 4 dB,the identification rate can reach 100%. Under unstable SNR conditions,when the range of SNR is between 0 dB and 24 dB,the average identification rate is more than 92. 67%. Therefore,this method has a great application value in the complex electromagnetic environment.
文摘This study examines the key factors that have impact on the successful adoption of Human Resource Information System (HRIS) within the Aqaba Special Economic Zone Authority (ASEZA)/Jordan. In order to accomplish the purpose of the study four critical factors are inquired. So, four critical factors are inquired: First, TAM Model (Perceived Ease of Use (PEOU) and Perceived Usefulness (PU)). Second, Information Technology Infrastructure (ITI). Third, Top Management Support (TMS). Finally, Individual Experience with Computer (IEC). The research model was applied to collect data from the questionnaires answered by 45 users of HRIS as a source of primary data, based on a convenience sample the response rate was about 91%. In addition, the results were analyzed by utilizing the Statistical Package for Social Software (SPSS). Furthermore, the findings were analyzed;multiple Regression analysis indicated that all research variables have significant relationship on successful adoption of HRIS. The findings indicated IT infrastructures have a positive and significant effect on the successful adoption of HRIS. But there is no significant of PU, PEOU, TMS, and IEC on the successful adoption of HRIS. Finally, the results indicated that no significant statistical differences of demographic characteristics on HRIS adoption. Depending on the research’s findings;the researchers proposed a set of recommendations for better adoption of HRIS in SEZA.
