PASSIM7K卷烟机水松纸传动装置的改造     

杨富河 《科技风》2010,(1)

PASSIM7K水松纸传动装置采用一对电磁离合器来实现水松纸的供给和制动.针对电磁离合器在使用过程中存在可靠性和稳定性差、维修成本高等问题,采用气动控制技术,通过电磁闯控制气缸来代替电磁离合器,实现水松纸供给和制动,解决了上述缺点.改造后提高了水松纸传动装置的运行稳定性和可靠性,减少维护保养时间和降低备件消耗.  相似文献   

Assessing behavioral data science privacy issues in government artificial intelligence deployment     

《Government Information Quarterly》2022,39(4):101679

In today's global culture where the Internet has established itself as the main tool for communication and commerce, the capability to massively analyze and predict citizens' behavior has become a priority for governments in terms of collective intelligence and security. At the same time, in the context of novel possibilities that artificial intelligence (AI) brings to governments in terms of understanding and developing collective behavior analysis, important concerns related to citizens' privacy have emerged. In order to identify the main uses that governments make of AI and to define citizens' concerns about their privacy, in the present study, we undertook a systematic review of the literature, conducted in-depth interviews, and applied data-mining techniques. Based on our results, we classified and discussed the risks to citizens' privacy according to the types of AI strategies used by governments that may affect collective behavior and cause massive behavior modification. Our results revealed 11 uses of AI strategies used by the government to improve their interaction with citizens, organizations in cities, services provided by public institutions or the economy, among other areas. In relation to citizens' privacy when AI is used by governments, we identified 8 topics related to human behavior predictions, intelligence decision making, decision automation, digital surveillance, data privacy law and regulation, and the risk of behavior modification. The paper concludes with a discussion of the development of regulations focused on the ethical design of citizen data collection, where implications for governments are presented aimed at regulating security, ethics, and data privacy. Additionally, we propose a research agenda composed by 16 research questions to be investigated in further research.  相似文献   

Introducing the DYNAMICS framework of moment-to-moment development in achievement motivation     

《Learning and Instruction》2022

This article introduces a new theoretical and psychometric framework describing moment-to-moment development and inter-dependencies of achievement motivation in terms of the situated expectancy-value theory, by introducing dynamical systems concepts into this line of research. As a first empirical example of a study using this framework, we examined whether task values, costs, and success expectancies measured in a learning situation (time point t) predicted themselves and each other at the next situation (t + 1; 27 min later) within a weekly university lecture.Situational task values, expectancies, and costs were assessed using the experience sampling method in 155 university teacher training students during weekly lectures for one semester, with three surveys during each weekly lesson. Data were analyzed with multilevel cross-lagged structural equation models.There were significant auto-regressions from one learning situation to the next in success expectancies and effort costs, but not in intrinsic, utility, or attainment value nor emotional or opportunity costs. There were no significant cross-lagged effects from one situation to the next in any of the measured situated expectancy-value components.As a framework to integrate dynamical systems concepts into the research on situated learning motivation, we expect the proposed DYNAMICS framework to have a substantial impact on further theory development.  相似文献   

The evaluation of school-university partnerships that improve teaching and learning practices: A systematic review     

《Educational Research Review》2023

This paper presents a systematic literature review of School-University Partnerships (SUPs) that aim to promote changes in teaching and learning practices. Our analysis focuses on the evaluation of such SUPs, throughout their development process (from Exploration to Implementation and Sustainability). Our results highlight the nonlinearity of such development processes. The evaluation of the SUPs mainly relied on qualitative approaches and occurred primarily during the Implementation phase. Furthermore, the evaluation instruments used have seldom been validated or reused within the research community. Future research can focus on the development of reliable evaluation instruments, useable throughout the lifecycle of SUPs, to guide their decision-making.  相似文献   

What makes or breaks competitive research proposals? A mixed-methods analysis of research grant evaluation reports     

《Journal of Informetrics》2022,16(2):101289

The evaluation of grant proposals is an essential aspect of competitive research funding. Funding bodies and agencies rely in many instances on external peer reviewers for grant assessment. Most of the research available is about quantitative aspects of this assessment, and there is little evidence from qualitative studies. We used a combination of machine learning and qualitative analysis methods to analyse the reviewers' comments in evaluation reports from 3667 grant applications to the Initial Training Networks (ITN) of the Marie Curie Actions under the Seventh Framework Programme (FP7). Our results show that the reviewers' comments for each evaluation criterion were aligned with the Action's prespecified criteria and that the evaluation outcome was more influenced by the proposals’ weaknesses than by their strengths.  相似文献   

Fair and Explainable Depression Detection in Social Media     

《Information processing & management》2023,60(1):103168

Detection at an early stage is vital for the diagnosis of the majority of critical illnesses and is the same for identifying people suffering from depression. Nowadays, a number of researches have been done successfully to identify depressed persons based on their social media postings. However, an unexpected bias has been observed in these studies, which can be due to various factors like unequal data distribution. In this paper, the imbalance found in terms of participation in the various age groups and demographics is normalized using the one-shot decision approach. Further, we present an ensemble model combining SVM and KNN with the intrinsic explainability in conjunction with noisy label correction approaches, offering an innovative solution to the problem of distinguishing between depression symptoms and suicidal ideas. We achieved a final classification accuracy of 98.05%, with the proposed ensemble model ensuring that the data classification is not biased in any manner.  相似文献