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The aero-engine array electrostatic monitoring technology (AEMT) can provide more and more accurate information about the direct product of the fault, and it is a novel condition monitoring technology that is expected to solve the problem of high false alarm rate of traditional electrostatic monitoring technology. However, aliasing of the array electrostatic signals often occurs, which will greatly affect the accuracy of the information identified by using the electrostatic sensor array. The purpose of this paper is to propose special solutions to the above problems.

In this paper, a method for de-aliasing of array electrostatic signals based on compressive sensing principle is proposed by taking advantage of the sparsity of the distribution of multiple pulse signals that originally constitute aliased signals in the time domain.

The proposed method is verified by finite element simulation experiments. The simulation experiments show that the proposed method can recover the original pulse signal with an accuracy of 96.0%; when the number of pulse signals does not exceed 5, the proposed method can recover the pulse peak with an average absolute error of less than 5.5%; and the recovered aliased signal time-domain waveform is very similar to the original aliased signal time-domain waveform, indicating that the proposed method is accurate.

The proposed method is one of the key technologies of AEMT.

This brief history of the International Study Association on Teachers and Teaching (ISATT) documents developments and trends during the decade 2013–2023. To situate recent ISATT history, we begin with an overview of the association's first 30 years (1983–2012). The dominant theme of those early years was developing ISATT as a recognized and influential professional organization connecting researchers on teaching and teacher education from a growing list of nations and regions of the world. During the most recent decade, there has been a concerted effort toward broad internationalization through biennial conferences and regional meetings, and a growing network of national representatives from across the world. Also, the ISATT journal, Teachers and Teaching: Theory and Practice, the journal, which began in 1995, has published hundreds of peer-reviewed articles written by more than 1000 authors and coauthors, contributing to a growing body of knowledge about teaching and teacher education in many cultures. In the last 20 years and especially in the past 10, the locations of ISATT meetings have become significantly more diverse, following a trend of greater internationalization compared with ISATT's European and North American beginnings. At the same time, the number of ISATT members remains stable and small thereby preserving a collegial and collaborative tone in our exchanges. In sum, ISATT's recent decade finds the association intellectually healthy, successful in managing the challenges of the Covid-19 pandemic, and enriched by the proliferation of multinational points of view and styles of research.

The privacy calculus based on a single stakeholder failed to explain users' co-owned information disclosure owing to the uniqueness of co-owned information. Drawing on collective privacy calculus theory and impression management theory, this study attempts to explore the co-owned information disclosure of social network platform users from a collective perspective rather than an individual perspective.

Drawing on collective privacy calculus theory and impression management theory, this study explores the co-owned information disclosure of social network platform users from a collective perspective rather than an individual perspective based on a survey of 740 respondents.

This study finds that self-presentation and others presentation directly positively affect users' co-owned information disclosure. Also, self-presentation, others presentation and relationship presentation indirectly positively affect users' co-owned information disclosure via relationship support. Furthermore, personal privacy concern, others' privacy concern and relationship privacy concern indirectly negatively affect users' co-owned information disclosure via relationship risk.

The findings develop the theory of collective privacy calculus and impression management, which offer insights into the design of the collective privacy protection function of social network platform service providers.

Jarring events, be they global crises such as COVID-19 or technological events such as the Cambridge Analytica data incident, have bullwhip effects on billions of people's daily lives. Such “shocks” vary in their characteristics. While some shocks cause, for example, widespread adoption of information systems (IS) as diverse as Netflix and Teams, others lead users to stop using IS, such as Facebook. To offer insights into the multifaceted ways shocks influence user behavior, this study aims to assess the status quo of shock-related literature in the IS discipline and develop a taxonomy that paves the path for future IS research on shocks.

This study conducted a literature review (N = 70) to assess the status quo of shock-related research in the IS discipline. Through a qualitative study based on users who experienced shocks (N = 39), it confirmed the findings of previous literature in an illustrative IS research context. Integrating the findings of the literature review and qualitative study, this study informs a taxonomy of shocks impacting IS use.

This study identifies different ways that shocks influence user behavior. The taxonomy reveals that IS research could profit from considering environmental, private and work shocks and shedding light on positive shocks. IS research could also benefit from examining the urgency of shocks, as there are indications that this influences how and when individuals react to a specific shock.

Findings complement previous rational explanations for user behavior by showing technology use can be influenced by shocks. This study offers a foundation for forward-looking research that connects jarring events to patterns of technology use.

While social networking sites (SNS) have many positive aspects, they can have several adverse outcomes, among which privacy violations are a vital concern. The authors first posit that concerns regarding privacy violations can drive attempts to reduce SNS use. Next, the authors note that these violations can have two sources: peers and the social media provider. Thus, there is a need to understand how this complex system of privacy concerns affects use reduction decisions. To do so, this paper aims to examine the separate and joint roles of institutional and peer privacy concerns in driving SNS use reduction.

Based on privacy calculus theory, the authors propose a theoretical model to explain SNS use reduction, with institutional and peer privacy concerns as independent variables. The authors empirically examine the research model using a sample of 258 SNS users.

This study reveals that institutional and peer privacy concerns independently increase one's intention to reduce SNS use and that institutional privacy concern strengthen the relation between peer privacy concern and the intention to reduce SNS use.

Research thus far has not examined how the two facets of privacy work in tandem to affect 'users' decisions to change their behaviors on SNS platforms. Considering the unique and joint effect of these facets can thus provide a more precise and realistic perspective. This paper informs theories and models of privacy and online user behavior change.