超磁致伸缩作动器的磁路设计

论述了超磁致伸缩作动器的基本原理,根据三种偏置磁场优缺点,选用增加单独线圈产生偏置磁场。在磁路分析的基础上,采用有限元仿真的方法,分析了不同参数和结构对各个组成部分的磁场影响。     

让阅读成为聋生的基本素质之一

阅读对聋童来说,是他们在几年学校教育中发展的主要任务。而现实中由于部分教师在认识上存在偏颇,导致阅读这一重要的语文实践活动在聋校语文教学中大面积丢失。语文研究如何让聋生在九年聋校语文教学中习得阅读方法,具有独立的阅读能力,为他们走上社会后能通过阅读独立获取信息、了解社会打下扎实的基础。     

焦虑情绪和适应能力对大学新生学习生活的影响

采用焦虑自评量表和心理适应性自测量表对67名大学新生进行三次心理健康状况调查,结果显示有一般心理问题的学生占28.36%;有严重心理问题的学生占6.00%。焦虑产生的原因有生理需要不满足、安全感缺失、没有归属感、实现自我价值有压力。高校可以通过素质教育,加强校园文化建设,提高学生的适应能力,完善心理健康教育系统,缓解大学生的心理焦虑。     

基于SSH框架的J2EE课程教学探索与改革

J2EE课程是计算机软件技术专业(Java方向)的一门专业课程。以培养应用型技术人才为出发点,分析该课程的特点,对课程内容安排、课程考核等方面进行探索和改革。     

射频宽带功放动态偏置参数的自动生成

分析了影响射频宽带功率放大器输出功率平坦度的主要原因,提出采用动态偏置改善功率平坦度的设计方案,并重点介绍了以C8051F021为控制器,由PE4302、AT24C512等组成的动态偏置控制电路原理。基于自动测试技术,设计了动态偏置参数自动生成系统,测试结果表明,系统运行稳定,应用自动生成的动态偏置参数,功放的测量数据满足指标要求。     

酒店行业员工职业能力影响因子分析

职业能力是人们在真实的工作情境中整体化地解决综合性问题的能力,是科学的工作方法和学习方法的基础,也是人的综合素质的具体体现。为了对酒店员工职业能力进行评价研究,需要在广泛的调研基础上进行。而调研的基础就是适合于各种类型、最广泛区域酒店所使用的关于员工职业能力的调查问卷。文章将从研究方法、研究过程等详细说明,通过相对科学和具有使用价值的调查问卷设计的过程描述及统计软件SPSS 17.0进行数据分析,从而确定影响酒店行业员工职业能力的因子。     

Unpacking (un)conscious social class bias in faculty hiring processes in Chile: PhD prestige granting university and network

Social class of origin is apparently an imperceptible attribute among doctorate holders seeking academic jobs. Yet, recent studies in different countries reveal that social class of origin may still be influencing the chances of PhD holders from low social class being hired at prestigious universities. Drawing from the theory of social and cultural reproduction, normative ‘fair’ academic hirings frameworks, and qualitative evidence collected in Chile, this research identifies the mechanisms that trigger (un)conscious social class bias in the stages of recruitment and selection of candidates in seven academic departments in economics and industrial engineering (46 interviews). Findings did not prove explicit classism manifestations, but practices of inclusion/exclusion of candidates based on the prestige of PhD-granting universities, and networks. These reproduce the relationship between social class and unequal chances of being connected to prestigious universities. Recommendations to address (un)conscious social class bias in academic hiring are discussed.     

The Multidimensionality of Measurement Bias in High-Stakes Testing: Using Machine Learning to Evaluate Complex Sources of Differential Item Functioning

Test developers and psychometricians have historically examined measurement bias and differential item functioning (DIF) across a single categorical variable (e.g., gender), independently of other variables (e.g., race, age, etc.). This is problematic when more complex forms of measurement bias may adversely affect test responses and, ultimately, bias test scores. Complex forms of measurement bias include conditional effects, interactions, and mediation of background information on test responses. I propose a multidimensional, person-specific perspective of measurement bias to explain how complex sources of bias can manifest in the assessment of human knowledge, skills, and abilities. I also describe a data-driven approach for identifying key sources of bias among many possibilities—namely, a machine learning method commonly known as regularization.     

Open to suggestions: How organizations elicit suggestions through proactive and reactive attention

This paper analyzes organizations’ attempts to entice external contributors to submit suggestions for future organizational action. While earlier work has elaborated on the advantages of leveraging the knowledge of external contributors, our findings show that organizational attempts to attract such involvement are likely to wither and die. We develop arguments about what increases the likelihood of getting suggestions from externals in the future, namely through (1) proactive attention (submitting internally developed suggestions to externals to stimulate debate) and (2) reactive attention (paying attention to suggestions from externals to signal they are being listened to), particularly when those suggestions are submitted by newcomers. Findings from an analysis of about 24,000 initiatives by organizations to involve external contributors suggest these actions are crucial for receiving suggestions from external contributors. Our results are contingent upon the stage of the initiative because organizations’ actions exert more influence in initiatives that lack a history of prior suggestions. Our work has implications for scholars of open innovation because it highlights the importance of considering failures as well successes: focusing exclusively on initiatives that reach a certain stage can lead to partial or erroneous conclusions about why some organizations engage external contributors while others fail.     

地级市创新能力影响因素的分层线性模型研究

以2018年我国30个省份及其对应的280个地级市为研究对象,利用分层线性模型分析省域层面、地级市层面的因素以及二者的交互作用对地级市创新能力的影响。结果显示,我国地级市创新能力的差异中有57.6%可以由省域层面的影响因素解释;地级市自身的经济水平、产业结构、R&D经费支出可以提升其创新能力;省域层面的财政科技支出对其下辖地级市创新能力有正向影响,其他省域层面因素与地级市层面因素存在交互效应。