基本养老保险缴费心理活动维度的实证研究:个人心理账户视角

本文从心理账户理论视角,通过问卷调查,运用非集计模型,对个人基本养老保险缴费心理活动维度进行了实证研究。研究结果表明,受教育程度、非常规的额外收入、经营性收入、安全型保障账户和风险型存储账户是影响缴费的关键性因素,进而提出引导设立特定缴费心理账户、增强缴费制度弹性,改变缴费者的选择框架, 提升缴费遵从度。     

刀锋伪影校正技术在精神疾病患者海马MRI检查中的应用

为探讨磁共振刀锋伪影校正（BLADE）技术提升精神疾病患者海马磁共振图像质量的效果，本文分别使用结合了BLADE技术的BLADE T₂WI TSE、BLADE T₂WI FLAIR及传统T₂WI TSE、T₂WI FLAIR四种序列，对47例精神疾病患者和美国放射学院（ACR）标准模体在3.0 T磁共振成像（MRI）设备上分别进行常规海马斜冠状位扫描和ACR标准检测.患者的磁共振图像由2名放射科医师采用5分法对运动伪影、搏动伪影、颗粒度、海马磁共振图像质量进行评价，并应用Wilcoxon符号秩检验进行数据分析.模体图像通过识别图像的钻孔阵列和轮辐的数目，半定量评价各序列的高对比空间分辨力（HCSR）和低对比物体探测能力（LCD）.结果表明相比传统序列，结合BLADE技术的序列能够明显改善海马磁共振图像的运动伪影、搏动伪影（p<0.001），提高图像质量（p<0.05）；但在图像颗粒度方面，传统序列表现更优（p<0.001）.ACR模体半定量分析显示，结合BLADE技术序列与传统序列相比，在LCD检测方面结果更优、在HCSR检测方面结果相同或略逊.本文推荐将BLADE技术应用于不合作的精神疾病患者海马的MRI检查.     

The Impact of Research Culture on Mental Health & Diversity in STEM

The onset of COVID-19, coupled with the finer lens placed on systemic racial disparities within our society, has resulted in increased discussions around mental health. Despite this, mental health struggles in research are still often viewed as individual weaknesses and not the result of a larger dysfunctional research culture. Mental health interventions in the science, technology, engineering, and mathematics (STEM) academic community often focus on what individuals can do to improve their mental health instead of focusing on improving the research environment. In this paper, we present four aspects of research that may heavily impact mental health based on our experiences as research scientists: bullying and harassment; precarity of contracts; diversity, inclusion, and accessibility; and the competitive research landscape. Based on these aspects, we propose systemic changes that institutions must adopt to ensure their research culture is supportive and allows everyone to thrive.     

电感耦合等离子体质谱法同时测定蔬菜中13种痕量元素

采用电感耦合等离子体质谱法同时测定蔬菜中锶、铜、硒、钼、锰、锌、钴、铬、镉、铅、镍、砷和铝等13种痕量元素。对质谱干扰和非质谱干扰进行了校正。13种重金属元素在一定的质量浓度范围内与其信号强度呈线性关系,方法的检出限(3s)在0.000 4~1.5μg·L-1之间。方法应用于蔬菜标准物质的分析,测定值与认定值相符。对芦笋样品平行测定6次,测定值的相对标准偏差在5.3%~9.6%之间。     

Studies of Mental “Noise”

Successive tests of subjects' performance in reaction time tasks were treated as time series and submitted to spectrum analysis. Rather than revealing the white noise expected by the view that variability is due to random error (equivalent power across frequency), the power spectra revealed colored noise. The slopes of the power spectra did not vary much for tasks differing in memory requirements. Spectrum analysis of time series from the logistic map also showed colored noise in regions on the edge of chaos, showing that the presence of colored noise in cognitive data need not oblige a theoretical account based on a complex, high-dimensional, system.     

物理实验管理系统的构建与实现

介绍了通过运用网络平台构建物理实验中心的管理系统,以实现学生选课、成绩管理、教学信息管理和发布、教学资料的上网及仪器管理等一系列的功能,使物理实验中心的各项工作有序而高效.     

Evaluating nonlinear variability of mental fatigue behavioral indices during long‐term attentive task

This study investigates the behavioral indices of attention. A simple repetitive attentive task that resulted in mental fatigue was used consecutively in four trials. In the first step, reaction time and error responses were recorded to evaluate differences among trials. During the task, subjects showed different responses to stimulations. In the second part, to recognize the strategies, multiple clustering methods such as k‐means and fuzzy c‐means were performed in which behavioral indices and nonlinear features were used. In the last section, mental behavior was identified as a result of the chaotic properties of variations in reaction time. Therefore, the Lyapunov exponent of reaction times was evaluated. Results revealed that behavioral indices could distinguish attention from the occurrence of mental fatigue in trials. In addition, the three strategies used by subjects during the test protocol were assessed. Finally, variation of indices extracted from nonlinear analysis, that is, decrease in degree of chaotic behavior determined the transition from attention to mental fatigue. © 2012 Wiley Periodicals, Inc. Complexity, 2012     

A point‐input,point‐output forest as a microprototype for capital accounting

The point‐input, point‐output, plantation forest was first studied by Martin Faustmann in the mid‐19th century. The exploitation of a Faustmannian forest involves decisions concerning investments and receipts over time that are qualitatively different from the smooth, convex flows that are usually studied in the economics of accounting. The simple, well understood analysis of the forest has implications for the concept of income in forestry as well as in other industries that are typified by nonconvex decisions. A forest is a salient example of the importance of discrete, irreversible investment, and of the role of price effects (capital gains) in income accounting and, more fundamentally, of perceptions of the “right prices” in economic analysis.     

火焰原子吸收光谱法测定不同产地大蒜中11种金属元素的含量

为进一步利用和开发大蒜资源,采用V（硝酸）＋V（高氯酸）=4＋1常压微沸条件下消化,用火焰原子吸收法测定不同产地大蒜中的金属元素Na、Ca、Mg、Mn、Cu、K、Zn、Fe、Cr、Cd和Pb的含量。研究了不同元素的仪器最佳工作条件,并做了准确度和精密度的考察。结果表明,大蒜中Na、Ca、Mg、Mn、Cu、K、Zn、Fe、Cr、Cd和Ph的含量分别为236．49、1598．21、612.44, 6.27, 15.48, 12 172.41, 126.88, 64.46, 1.67, 1.75, 2.02; 172.84, 1 243.38, 610.05, 5.32, 13.60, 11689.65, 120. 07, 78.91, 1.75, 2. 04, 1.97; 136. 90, 1467.93, 574. 16, 6. 27,16.90, 12 263.45, 146.34, 116.20, 1.82, 2.17, 2.25 μg·g^-1。加标回收率为96．60％～105．80％,相对标准偏差（n=9）为：0．24％～4．81％,测定方法简单易行,方便快捷。     

施用污泥对黑麦草生长及重金属含量的影响

采用单因素随机区组试验的方法,研究了金华市污水厂污泥堆肥对黑麦草生长和对重金属的吸收及富集的影响。结果表明,施用量以1kg／m^2和2kg／m^2的两个处理为宜,当年的产草量比对照分别增加了22．6％和27．8％;施用污泥黑麦草植株地上部组织重金属元素Pb、Cd和Cu的含量与对照相比无显著差异,Zn的积累量增多,重金属含量均未超过植物中的平均含量,施用污泥未对黑麦草造成重金属污染。