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Application Research of Music Therapy in Mental Health of Special Children
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作者 yingfeng wang 《International Journal of Mental Health Promotion》 2023年第6期735-754,共20页
A healthy psychological state is the premise for children to carry out various activities.Previous surveys have shown that children with special needs are affected by their own obstacles and are more prone to psycholo... A healthy psychological state is the premise for children to carry out various activities.Previous surveys have shown that children with special needs are affected by their own obstacles and are more prone to psychological problems such as sensitivity,low self-esteem,and impulsiveness.Therefore,it is necessary to provide more sys-tematic mental health education support for special children.Mental health education programs are an efficient form of maintaining children’s mental health.However,in thefield of special education,the number of mental health education courses developed according to the physical and mental characteristics and developmental needs of special children is relatively small,and there are many difficulties in the implementation process.Autism dis-order(ASD)is a kind of pervasive developmental dysfunction that is relatively common and representative in clinical practice.In recent years,the number of autistic children has continued to surge,and has gradually expanded from a family problem to a serious social problem.At present,the evaluation of the effect of autism intervention mainly relies on various behavioral scales,which are subjective to a certain extent.At the same time,due to the unclear pathogenesis of autism,the treatment of autism cannot be predicated on the right medicine,and can only be intervened in various ways.The purpose of this paper is to explore the difference between the EEG signals of autistic children and typically developing control(TD)children through the analysis method of EEG signals,and based on the analysis of EEG signals from an objective point of view,to study whether the music therapy method of Chinese Zither playing training can effectively Improving the brain functional status of chil-dren with autism yields positive therapeutic outcomes.The experimental results show that the complexity of brain electrical signals of ASD children is much lower than that of TD children,and there is a significant difference in the brain functional state between the two.The music therapy method based on Chinese zither playing training can improve the brain function of autistic patients,and there is a positive therapeutic effect.And with the exten-sion of the training period,the effect may be more significant.Chinese zither playing training can provide a new direction for the intervention of autism. 展开更多
关键词 Special children mental health education brain function state music therapy Chinese zither performance training
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IT相关专业离散数学教学研究(英文)
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作者 Xubo wang yingfeng wang 《计算机教育》 2016年第4期16-20,共5页
离散数学作为一个和连续数学不同的领域一直在IT中扮演重要角色。离散数学的教学被认为是IT教学中不可分割的部分。然而,由于各学校情况不同,面向IT学生的离散数学教学仍存在一些挑战。文章介绍一所美国大学针对IT专业本科生的不同背景... 离散数学作为一个和连续数学不同的领域一直在IT中扮演重要角色。离散数学的教学被认为是IT教学中不可分割的部分。然而,由于各学校情况不同,面向IT学生的离散数学教学仍存在一些挑战。文章介绍一所美国大学针对IT专业本科生的不同背景和需求进行教学设计以满足教学目标,期望这些经验能对其他学校相关课程的设计有所帮助。 展开更多
关键词 离散数学 教学 IT
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Seasonal variation and source apportionment of organic and inorganic compounds in PM_(2.5) and PM_(10) particulates in Beijing,China 被引量:34
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作者 Xingru Li Yuesi wang +1 位作者 Xueqing Guo yingfeng wang 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2013年第4期741-750,共10页
The distribution and source of the solvent-extractable organic and inorganic components in PM2.5 (aerodynamics equivalent diameter below 2.5 microns), and PM10 (aerodynamics equivalent diameter below 10 microns) f... The distribution and source of the solvent-extractable organic and inorganic components in PM2.5 (aerodynamics equivalent diameter below 2.5 microns), and PM10 (aerodynamics equivalent diameter below 10 microns) fractions of airborne particles were studied weekly from September 2006 to August 2007 in Beijing. The extracted organic and inorganic compounds identified in both particle size ranges consisted of n-alkanes, PAHs (polycyclic aromatic hydrocarbons), fatty acids and water soluble ions. The potential emission sources of these organic compounds were reconciled by combining the values of n-alkane carbon preference index (CPI), %waxCn, selected diagnostic ratios of PAHs and principal component analysis in both size ranges. The mean cumulative concentrations of n-alkanes reached 1128.65 ng/m3 in Beijing, 74% of which (i.e., 831.7 ng/m3) was in the PM2.5 fraction, PAHs reached 136.45 ng/m3 (113.44 ng/m3 or 83% in PM2.5), and fatty acids reached 436.99 ng/m3 (324.41 ng/m3 or 74% in PM2.5), which resulted in overall enrichment in the fine particles. The average concentrations of SO42-, NO3-, and NH4+ were 21.3 ± 15.2, 6.1 ±1.8, 12.5 ± 6.1 μg/m3 in PM2.5, and 25.8±15.5, 8.9± 2.6, 16.9±9.5 μg/m3 in PM10, respectively. These three secondary ions primarily existed as ammonium sulfate ((NH4)2SO4), ammonium bisulfate (NH4HSO4) and ammonium nitrate (NH4NO3). The characteristic ratios of PAHs revealed that the primary sources of PAHs were coal combustion, followed by gasoline combustion. The ratios of stearic/palmitic acid indicated the major contribution of vehicle emissions to fatty acids in airborne particles. The major alkane sources were biogenic sources and fossil fuel combustion. The major sources of PAHs were vehicular emission and coal combustion. 展开更多
关键词 airborne particles organic compounds size distribution SOURCE
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A Novel Structural Measure Separating Non-Coding RNAs from Genomic Backgrounds
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作者 yingfeng wang Russell L.Malmberg Liming Cai 《Tsinghua Science and Technology》 SCIE EI CAS CSCD 2015年第5期474-483,共10页
RNA secondary structure has become the most exploitable feature for ab initio detection of non-coding RNA(nc RNA) genes from genome sequences. Previous work has used Minimum Free Energy(MFE) based methods develope... RNA secondary structure has become the most exploitable feature for ab initio detection of non-coding RNA(nc RNA) genes from genome sequences. Previous work has used Minimum Free Energy(MFE) based methods developed to identify nc RNAs by measuring sequence fold stability and certainty. However, these methods yielded variable performances across different nc RNA species. Designing novel reliable structural measures will help to develop effective nc RNA gene finding tools. This paper introduces a new RNA structural measure based on a novel RNA secondary structure ensemble constrained by characteristics of native RNA tertiary structures. The new method makes it possible to achieve a performance leap from the previous structure-based methods. Test results on standard nc RNA datasets(benchmarks) demonstrate that this method can effectively separate most nc RNAs families from genome backgrounds. 展开更多
关键词 RNA secondary structure RNA tertiary structure Inside algorithm
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