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As an advanced manufacturing method, additive manufacturing (AM) technology provides new possibilities for efficient production and design of parts. However, with the continuous expansion of the application of AM materials, subtractive processing has become one of the necessary steps to improve the accuracy and performance of parts. In this paper, the processing process of AM materials is discussed in depth, and the surface integrity problem caused by it is discussed.

Firstly, we listed and analyzed the characterization parameters of metal surface integrity and its influence on the performance of parts and then introduced the application of integrated processing of metal adding and subtracting materials and the influence of different processing forms on the surface integrity of parts. The surface of the trial-cut material is detected and analyzed, and the surface of the integrated processing of adding and subtracting materials is compared with that of the pure processing of reducing materials, so that the corresponding conclusions are obtained.

In this process, we also found some surface integrity problems, such as knife marks, residual stress and thermal effects. These problems may have a potential negative impact on the performance of the final parts. In processing, we can try to use other integrated processing technologies of adding and subtracting materials, try to combine various integrated processing technologies of adding and subtracting materials, or consider exploring more efficient AM technology to improve processing efficiency. We can also consider adopting production process optimization measures to reduce the processing cost of adding and subtracting materials.

With the gradual improvement of the requirements for the surface quality of parts in the production process and the in-depth implementation of sustainable manufacturing, the demand for integrated processing of metal addition and subtraction materials is likely to continue to grow in the future. By deeply understanding and studying the problems of material reduction and surface integrity of AM materials, we can better meet the challenges in the manufacturing process and improve the quality and performance of parts. This research is very important for promoting the development of manufacturing technology and achieving success in practical application.

As part of a larger grant-funded project, a professional development (PD) series was conducted within the framework of a school–university partnership to improve teachers’ capacity to meaningfully include fathers and father figures in the school environment, with a particular focus on fathers of children with disabilities. The authors sought to understand the extent to which a school-wide PD framed through the lens of a father of a child with a disability might inform practice with sustainable implementation. Due to the pandemic, the original format of the PD was redesigned for virtual delivery.

A three-phase data collection and analysis approach included a pre-PD survey, a post-PD survey and a one-year follow-up survey. All surveys included both quantitative and qualitative self-report data components.

Results suggest school personnel found the virtual PD valuable, gleaning several useful strategies for reflecting on their own practices, working to improve communication with families of children with disabilities and more meaningfully including fathers and father figures in future school-related activities and programing.

First, the sample size of the present study was small, and participation was variable across PD sessions. In addition, participants self-selected into the series, and therefore, they may be more likely to value father-figure involvement with or without participation in the PD series. The small sample size may minimize the generalizability of these results across other replicable settings and participants. Second, the results of the pre-PD survey could be positively skewed since the university partner’s initial delivery of PD related to this topic began in 2018. In the pre-PD survey, the majority of respondents indicated, as an example, that they believed father involvement was correlated with higher academic achievement. It is not clear if respondents held these beliefs independently at the inception of the partnership or if they perhaps learned of these connections during an earlier PD offered by the authors.

The current study offers a small glimpse into the world of a school–university partnership and its ability to actualize meaningful reflection on family engagement practices. Results also indicate a greater awareness of significant male figures/fathers and their needs. Content delivered during each PD supports capacity building in terms of teachers’ ability to see fathers and father figures as meaningful contributors within the context of the school environment. Participants mentioned that the PD taught them ways to recognize and remediate some of the insidious communication barriers that exist.

Participants stated that they grew in their understanding of intentional connections with significant male figures, noting a concerted effort to ensure communication of information pertaining to school events, conferences and, in some cases, individualized educational programs (IEPs). Staff members also felt as though the pandemic fostered greater connections with fathers who were working at home and who were simultaneously helping their children access online learning platforms. However, it is noteworthy that the latter benefit was likely a positive side effect of mandatory home-based learning as opposed to a direct result of the present study. Socially, the authors all find ourselves embarking on a bit of social uncertainty, where perhaps it is no longer appropriate or significant to mention one's gender. Nonetheless, the research highlights the unique contributions that fathers and father figures can make to children's positive trajectory, and the authors espouse that the current study suggests that virtual PD sessions can help train school personnel to recognize and foster such relationships.

The past few decades have ushered in an awareness of significant male involvement and its importance in the development of young children. Despite this surge of interest, the research on father/significant male involvement in the school context remains limited. Additionally, the implementation of virtual PD and its potential positive impacts remain largely unexplored, especially when the intersection with father engagement practices is considered. As such, the authors espouse that the present study reflects a unique combination of content and pedagogy.

Traditional classification algorithms always have an incorrect prediction. As the misclassification rate increases, the usefulness of the learning model decreases. This paper presents the development of a wisdom framework that reduces the error rate to less than 3% without human intervention.

The proposed WisdomModel consists of four stages: build a classifier, isolate the misclassified instances, construct an automated knowledge base for the misclassified instances and rectify incorrect prediction. This approach will identify misclassified instances by comparing them against the knowledge base. If an instance is close to a rule in the knowledge base by a certain threshold, then this instance is considered misclassified.

The authors have evaluated the WisdomModel using different measures such as accuracy, recall, precision, f-measure, receiver operating characteristics (ROC) curve, area under the curve (AUC) and error rate with various data sets to prove its ability to generalize without human involvement. The results of the proposed model minimize the number of misclassified instances by at least 70% and increase the accuracy of the model minimally by 7%.

This research focuses on defining wisdom in practical applications. Despite of the development in information system, there is still no framework or algorithm that can be used to extract wisdom from data. This research will build a general wisdom framework that can be used in any domain to reach wisdom.