Investigation on wind energy-compressed air power system

Wind energy is a pollution free and renewable resource widely distributed over China. Aimed at protecting the environment and enlarging application of wind energy, a new approach to application of wind energy by using compressed air power to some extent instead of electricity put forward. This includes: explaining the working principles and characteristics of the wind energy-compressed air power system; discussing the compatibility of wind energy and compressor capacity; presenting the theoretical model and computational simulation of the system. The obtained compressor capacity vs wind power relationship in certain wind velocity range can be helpful in the designing of the wind power-compressed air system. Results of investigations on the application of high-pressure compressed air for pressure reduction led to conclusion that pressure reduction with expander is better than the throttle regulator in energy saving.     

正确认识改革实践过程对人们思想的影响

伴随着改革的深化和社会主义市场经济体制的建立和逐步完善 ,我国社会从经济基础到上层建筑 ,都处在一个重大的变革时期。这场社会变革无论是深度还是广度都是前所未有的。因此 ,这场变革必然会引起人们精神世界的深刻变化。深入地研究和认识这些变化 ,对于分清主流和支流、正确与谬误 ,切实加强和改进思想政治工作不无意义。     

Latent Markov Factor Analysis for Exploring Measurement Model Changes in Time-Intensive Longitudinal Studies

When time-intensive longitudinal data are used to study daily-life dynamics of psychological constructs (e.g., well-being) within persons over time (e.g., by means of experience sampling methodology), the measurement model (MM)—indicating which constructs are measured by which items—can be affected by time- or situation-specific artifacts (e.g., response styles and altered item interpretation). If not captured, these changes might lead to invalid inferences about the constructs. Existing methodology can only test for a priori hypotheses on MM changes, which are often absent or incomplete. Therefore, we present the exploratory method “latent Markov factor analysis” (LMFA), wherein a latent Markov chain captures MM changes by clustering observations per subject into a few states. Specifically, each state gathers validly comparable observations, and state-specific factor analyses reveal what the MMs look like. LMFA performs well in recovering parameters under a wide range of simulated conditions, and its empirical value is illustrated with an example.     

Sir Charles Scott Sherrington (1857–1952)

Twentieth century bore witness to remarkable scientists who have advanced our understanding of the brain. Among them, Sir Charles Scott Sherrington’s ideas about the way in which the central nervous system operates has continuing relevance even today. He received honorary doctorates from twentytwo universities and was honoured with the Nobel Prize in Physiology or Medicine in the year 1932 along with Lord Edgar Adrian for their work on the functions of neurons. He developed our modern notion of the reflex as a model for how the periphery and spinal cord connect sensation and action.     

Prospective elementary teachers’ aesthetic experience and relationships to mathematics

Previous research has adopted various approaches to examining teachers’ and students’ relationships to mathematics. The current study extended this line of research and investigated six prospective elementary school teachers’ experiences in mathematics and how they saw themselves as learners of mathematics. One-on-one interviews with the participants were conducted, and their written reflections were collected. A grounded-theory approach and a framework for analyzing mathematics identities were adopted in data analysis. The findings showed that the participants’ development of obligations-to-oneself was associated with not only their opportunity to exercise conceptual agency but also their aesthetic experience with mathematics. Their views on themselves as learners of mathematics had cognitive, affective, and aesthetic dimensions. The findings suggest that teachers and students can engage in a reflection on their aesthetic involvement in doing mathematics. There is a need for a local theory of aesthetics in K-12 mathematics.     

What Constitutes Good Mathematics Teaching and How it Develops: Nine High School Teachers’ Perspectives

Scholars of decades past, current researchers, and various reform documents all deal, directly or indirectly, with the question of what constitutes good mathematics teaching. Often good teaching is situated in the context of broader educational goals, such as preparing literate citizenry. Researchers generally define good teaching implicitly with attention to various processes such as reasoning and problem solving. In a series of three interviews, we examined nine experienced and professionally active teachers’ views of good mathematics teaching and how it develops. The interviews were couched in the context of the teachers mentoring student teachers. In general, these teachers thought good teaching requires a sound knowledge of mathematics, promotes mathematical understanding, engages and motivates students, and requires effective management skills. Furthermore, the teachers felt that good teaching is developed from experience, education, personal reading and reflection, and interaction with colleagues. Experience was considered the primary contributor. The article compares and contrasts the teachers’ notions of good teaching with those of various scholars and researchers and positions stated in various reform documents.     

What Can Institutional Research do to Help Colleges Meet the Workforce Needs of States and Nations?

Institutions of higher education are looked to by society as the training grounds and gatekeepers for college-trained workers. However, despite a long history of being viewed by many as unresponsive to labor force needs, the academy has not found ways of effectively meeting these demands, nor articulating why it is that they have difficulty doing so. This paper discusses how institutional researchers can help explain to campus administrators and others the role that institutions play in training individuals for the workplace, and why they cannot always quickly respond to and solve shortages of college-trained workers. The first section outlines what economic theory and research has to say regarding labor markets, how labor market shortages arise, and how students make decisions about which major to pursue. The last section describes problems institutional researchers face when using their skills with data to identify solutions to this problem. Using data from the state of New Hampshire, it will be shown that the data available to institutional decisionmakers can be out of date, inaccurate, and not particularly useful for designing policies that would enable an institution to respond to the labor needs of the economy.     

Great expectations: a critical perspective on Open Educational Resources in Brazil

ABSTRACT

Nearly two decades have passed since the Open Educational Resources (OER) movement was launched. Its success in Brazil can be illustrated with the establishment of a UNESCO Chair in Open Education in 2014, in one of the country’s most prestigious universities. Crucially, OER were included in the 2014–2024 National Education Plan, a key piece of national educational legislation, as a category of educational technologies framed as tools. Assuming metaphors such as this play a key role in the ways we think, speak and act, this article presents a critical perspective on OER in Brazil. Examining the implications of the main metaphors used to construe OER in local media and academic sources, the text argues that these metaphors reflect hegemonic discourses on educational technology, concealing the non-neutrality of technological artefacts, obscuring issues concerning curriculum and pedagogy, and overlooking actual local needs. The article discusses issues concerning local OER advocacy, positioned in respect to specificities of a context where education, albeit a constitutionally established right, may be poised to undergo radical changes in the near future.