Poststroke depression （PSD） is one of the common complications of cerebrovascular diseases. Drug therapy and cognitive behavioral therapy are two commonly used methods in current clinical treatments of PSD. However,...Poststroke depression （PSD） is one of the common complications of cerebrovascular diseases. Drug therapy and cognitive behavioral therapy are two commonly used methods in current clinical treatments of PSD. However, either method has its own drawbacks： The tbrmer has problems such as the slow onset of action and various side effects, and patients olden have a poor response to the latter Recently, scientists have started using the heart rate variability （HRV） biofeedback approach to treating patients with depression and found significant clinical efficacy. HRV biofeedback requires patients to synchronize heart rate （HR） oscillations, and breathe by slow abdominal breathing （about 6 times/min; i.e., at the resonance frequency of 0. 1Hz）, and thus maximizes HRV. The objective of this study is to examine the impacts of HRV biofeedback on patients＇ emotional improvement and to explore the potential of this approach as an effective, side-effect-free supplement for comprehensive recovery.展开更多
It is now widely recognized that appropriate measures are required for digital preservation to ensure that digital data can be accessed and used currently and in the future.Among all the risks of digital preservation,...It is now widely recognized that appropriate measures are required for digital preservation to ensure that digital data can be accessed and used currently and in the future.Among all the risks of digital preservation,format obsolescence is one of the most important.There have been several projects or initiatives dealing with the measurement method of format obsolescence risk,but there has been no mechanism to quantify the preservation risk or durability of digital formats based on a self-improving assessment model,executed with the aid of computers.This paper deals with a methodology for measuring the preservation durability of digital formats,especially for their risk assessment.This method is based on a quantitative assessment model for format risk,and can shift the non-quantifiable knowledge or experiences of field experts to a machine identifiable and processible form,or 'risk scores'.Results can be recognized and communicated by computers automatically and formally,which can assist in the automatic/semi-automatic risk management for digital preservation,sharing this quantified knowledge among communities. Because technologies are changing quickly,the quantitative assessment model for risks will not be a status quo situation.Thus,also presented is a method to fine tune the quantitative assessment model for risk of formats through a self-learning and self-improving style.展开更多
文摘Poststroke depression （PSD） is one of the common complications of cerebrovascular diseases. Drug therapy and cognitive behavioral therapy are two commonly used methods in current clinical treatments of PSD. However, either method has its own drawbacks： The tbrmer has problems such as the slow onset of action and various side effects, and patients olden have a poor response to the latter Recently, scientists have started using the heart rate variability （HRV） biofeedback approach to treating patients with depression and found significant clinical efficacy. HRV biofeedback requires patients to synchronize heart rate （HR） oscillations, and breathe by slow abdominal breathing （about 6 times/min; i.e., at the resonance frequency of 0. 1Hz）, and thus maximizes HRV. The objective of this study is to examine the impacts of HRV biofeedback on patients＇ emotional improvement and to explore the potential of this approach as an effective, side-effect-free supplement for comprehensive recovery.
基金Project supported by the National High-Tech R&D Program(863) of China(No.2009AA01Z143)the Research Foundation of the Ministry of Railways and Tsinghua University,China(No. 20091111068)
文摘It is now widely recognized that appropriate measures are required for digital preservation to ensure that digital data can be accessed and used currently and in the future.Among all the risks of digital preservation,format obsolescence is one of the most important.There have been several projects or initiatives dealing with the measurement method of format obsolescence risk,but there has been no mechanism to quantify the preservation risk or durability of digital formats based on a self-improving assessment model,executed with the aid of computers.This paper deals with a methodology for measuring the preservation durability of digital formats,especially for their risk assessment.This method is based on a quantitative assessment model for format risk,and can shift the non-quantifiable knowledge or experiences of field experts to a machine identifiable and processible form,or 'risk scores'.Results can be recognized and communicated by computers automatically and formally,which can assist in the automatic/semi-automatic risk management for digital preservation,sharing this quantified knowledge among communities. Because technologies are changing quickly,the quantitative assessment model for risks will not be a status quo situation.Thus,also presented is a method to fine tune the quantitative assessment model for risk of formats through a self-learning and self-improving style.
