对流层风廓线仪探测资料比对分析

本文利用对流层风廓线仪和二次测风雷达的测风实验数据,对其数据处理、统计、比对和分析。结果表明,在低空和高空,二者探测存在一定差值,中间高度具有较好的一致性。     

Exploring PERMA in spectator sport: Applying positive psychology to examine the individual-level benefits of sport consumption

Sport spectating provides numerous benefits for sport organisations and individuals. In this paper we use a positive psychology approach to examine the individual-level benefits of sport consumption in order to investigate the activation of five domains of well-being: positive emotions, engagement, relationships, meaning, and accomplishment (PERMA). Using a two-study panel research design, we collected qualitative data from a sample of Australian Rules Football consumers. In the first study, we explored how the PERMA domains were activated during the season. Study two included a follow-up interview with eight initial respondents in the off-season. We found evidence of four PERMA domains that were activated in the sport spectator context by a variety of consumer experiences. The emergence of these domains in both studies suggests sport marketers would benefit from actions including: creating more social spaces within their stadiums, hosting regular off-season events, and creating social-media based competitions which promote fan engagement and interactions throughout the calendar year.     

Predicting grade point average from the hybrid model of learning in personality: consistent findings from Ugandan and Australian students

Jackson developed a hybrid model of learning in personality, known as the Learning Styles Profiler (LSP), which seeks to explain personality in terms of biological, socio‐cognitive and experiential processes. The hybrid model argues that functional learning outcomes can be understood in terms of how cognitions and experiences re‐express sensation seeking as functional learning. In two studies from Uganda and Australia (n = 136 and n = 290 respectively), grade point average (GPA) of students was successfully predicted from the hybrid model. Results show evidence of three indirect pathways from sensation seeking through cognitions to GPA and provide a new understanding of the way in which personality can predict performance.     

测量薄膜表面粗糙度方法的研究

表面粗糙度是衡量产品表面质量的重要参数,随着表面加工精度的不断提高,产品的表面粗糙度也由微米级别向纳米级别发展。触针式表面轮廓仪是国家标准规定的测量表面粗糙度的方法,而原子力显微镜是测量表面粗糙度的新型仪器。通过对比原子力显微镜和表面轮廓仪的测量结果,分析了表面轮廓仪误差产生的主要原因,并提出了利用原子力显微镜测量薄膜纳米级表面粗糙度的方法。     

An exploration of the impact of the Emotional Literacy Support Assistant (ELSA) programme on wellbeing from the perspective of pupils

ABSTRACT

The Emotional Literacy Support Assistant (ELSA) programme is an evidence-informed intervention delivered by teaching assistants and supervised by educational psychologists. In this research, semi-structured interviews were conducted to investigate the impact of the ELSA programme on wellbeing from the perspective of pupils. A thematic analysis of the data set identified the following themes: “Feelings and Emotions”, “Engagement”, “Resilience”, “Hopes and Aspirations” and “Relationships”. The findings suggest the ELSA programme has a perceived positive impact on multiple components of pupil wellbeing. These components include positive emotions, negative feelings, engagement, resilience, optimism, accomplishment and relationships, as described by the New Economics Foundation (NEF) and Seligman’s “PERMA model”. The positive wellbeing changes experienced by the pupils occurred through strategies, talking, and forming a close relationship with the teaching assistant. Overall, this research provides evidence to suggest a positive impact of the ELSA programme on pupil wellbeing.     

Well-being in post-primary schools in Ireland: the assessment and contribution of character strengths

Enhancing the well-being of primary and post-primary students is one of the priorities of the Department of Education and Skills in Ireland. Whilst interventions are being implemented across the board, little is known about the current levels of adolescents’ well-being. Drawing from research on positive education, in the current study well-being was assessed amongst 2822 adolescents, aged 12–19 in Ireland, using the PERMA profiler [Butler, J., and M. L. Kern. (2016). “The PERMA-Profiler: A Brief Multidimensional Measure of Flourishing.” International Journal of Wellbeing 6 (3): 1–48. doi:10.5502/ijw.v6i3.526] and “VIA-Youth Survey” [VIA Character (2014). http://www.viacharacter.org/www/Research-Old2/Psychometric-Data-VIA-Youth-Survey]. Mann–Whitney U-test and multiple regression analyses were conducted in the examination of age and sex differences in students’ well-being scores, and the prediction of the contribution of character-strength-development to well-being. The results showed that students’ well-being decreased steadily from the first year, through to the middle and senior years of post-primary school. Furthermore, in comparison to males, females reported lower levels of well-being across the board, and higher levels of negative emotions and loneliness. Finally, the underuse of character strengths predicted lower levels of well-being in Irish schools. Implications for practice include the importance of customising well-being programmes across different schools and age groups, as well as the potential for the incorporation of psychological tests to evaluate the effectiveness of such interventions.     

Implementation of a Novel Algorithm on Acoustic Doppler Current Profiler Signal Processing System＊

Acoustic Doppler current profiler （ADCP） uses acoustic energy directed along narrow beams for current measurement. In conventional method, the quantity of sampling affects the precision of fast Fourier transform （FFT） algorithm, and the algorithm needs a large amount of data to process. A novel frequency estimator.enhanced least mean square （ELMS） algorithm for a single complex sinusoid in complex white Gaussian noise, is proposed in ADCP system. As sampling frequency equals 120 krad/s and the sampling number equals 240. the minimum resolving is 0. 5 krad/s. All variances keep 11.11%. ELMS algorithm needs less data than FFT. And the robust algorithm can estimate the spectrum true value to 99.9% when the signal to noise ratio （SNR） is equal to 0 dB. Experiments prove that the estimation values will diverge much from the ideal when SNR is less than -6 dB.     

宜春市袁州区强降水天气过程风场特征分析

本文通过利用江西省宜春市风廓线雷达风场资料,对宜春市袁州区的强降水天气过程进行统计分析,得出产生强降水天气过程的时间和空间分布特征以及四种主要的风场特征,为开展短时强降水预报和预警提供依据。