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摘要： Considering the interconnection of computing and human languages.

摘要： The craft beer industry is dominated by images of bearded White men and represents what is considered a "White space". In the present research, we explore racism and discrimination in the marketplace by advancing an understanding of Black-owned business experiences within an industry culture dominated by Whiteness. This phenomenological inquiry utilized a storytelling framework (Bell, 2020) to study the ways in which Blackness is explained, minimized, or celebrated in the development of counter-narratives enacted to challenge the dominant narrative within the craft beer industry. Our findings, obtained from interviews with 27 Black brewers, explain how color-blind racism is encountered, history is reframed, and an inclusive future is envisioned through the explication of concealed, resistance, and emerging stories, respectively. Our study answers the call for marketing scholars to more critically engage with how race and racism impact marketplace in-teractions, particularly among minoritized business owners.

关键词： edible fungi   heavy metals   risk assessment   raw materials   sawdust  

摘要： Black fungus is the second-most consumed edible fungus in China. The establishment of a risk assessment mechanism for heavy metals in black fungus is particularly critical to the safety of edible fungi. To clarify a risk assessment mechanism of heavy metal pollution of edible fungi in northeast China, in this study, the contents of Pb, Cr, CD and As in 415 samples were determined, and a total of 1660 valid data were obtained. Then, based on Monte Carlo simulation, a non-parametric probability assessment system for heavy metals in black fungus was established and improved. The results showed that the residual amounts of As, Pb, Cd and Cr in black fungus were in the order of Cr > Pb > As > Cd. The background content of four heavy metals in the main raw materials was preliminarily clarified. Among them, the content of As is between 0.010-0.320 mgkg(-1), Pb is between 0.051-0.792 mgkg(-1), Cd is between 0.019-0.236 mgkg(-1), and Cr is between 0.06-3.41 mgkg(-1). These results indicate that the dietary exposure risk of heavy metals ingested by dried black fungus in Chinese minors and adults is basically safe, but at the high exposure levels of 97.5% sites and 99% sites, Cr is at the light pollution level, and the comprehensive pollution of four heavy metals is at the moderate pollution level. In addition, this study found that raw materials can cause heavy metal accumulation in black fungus, mainly from sawdust, followed by rice bran and wheat bran.

关键词： Academic support   case study   computer science   higher education   learning technology   technology applications   tutoring  

摘要： Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized AI-based intelligent tutor that answers students programming questions and provides them with examples is presented. AI is becoming more and more popular as time passes, allowing to perform tasks automatically in a way that could not be done before. From predictions to customization, AI is being used in many areas, not being educational environments outside this situation. AI is being used in educational settings to customize contents or to provide personalized feedback to the students, among others. In this scenario, The tool has been tested by university students at the Universidad Rey Juan Carlos during the course Programming Fundamentals in the first course of their Biomedical Engineering degree to evaluate if it helps the students in the process of learning programming skills. One of the main goals was to provide guidance to the students without needing the instructor to be physically by their side. Even if the tool is still in its preliminary phase, it helped the students with their questions, providing accurate answers and examples. The students were able to use the intelligent tutor easily and they thought that it could be a useful tool to use in other courses.

关键词： CS teachers   PD program   experiences   challenges   K-12 CS   perceptions   in-service teachers   CS education  

摘要： This research aimed to investigate the perceptions and experiences of in-service teachers participating in a professional development (PD) program focused on computer science (CS). The main research question explored the teachers' perceptions of their experience in the CSPD program, while sub-research questions examined the challenges encountered and the program's impact on their capacities to teach CS in elementary schools. The study adopted an interpretivist paradigm and employed a qualitative research approach to understand the subjective meanings and hidden factors underlying teachers' experiences. Data collection involved observations, reflection essays, and a semi-structured focus group interview. The data analysis was guided by the community of practice elements. The findings revealed prerequisite challenges faced by the teachers, such as the need to develop self-directed learning and research skills. Additionally, the PD program was found to enhance teachers' knowledge, skills, and confidence in teaching CS. It also fostered changes in their beliefs and self-efficacy. Challenges in the pre-implementation and implementation stages were also revealed, including conflicting perspectives, limited supervisor support, and passive learning and teaching. These findings provide valuable insights that can contribute to the design of effective PD initiatives in CS education and promote sustainable education practices.

关键词： Computer science   Machine learning   Sustainability  

关键词： Measurement   Generators   Network analyzers   Image edge detection   Generative adversarial networks   Computer science   Stability analysis   Centroid node   clustering   multiple local community detection (MLC)   network analysis   seed set expansion  

摘要： In recent years, the research of local community detection has attracted much attention. Most existing local community detection methods aim to find a single community of closely related nodes for a given query node, but in general, nodes are possible to belong to several communities, and detecting all the potential communities for a given query node is much more challenging. In this work, we propose a novel approach called the centroid-based multiple local community detection (C-MLC) to find all the communities for a query node. Differing from the existing local community detection methods that directly find a community from the query node, we assume that every community contains a "centroid " node, which locates in the core of the community and can be used to identify the community. Then, a query node corresponds to several centroid nodes if the query node belongs to multiple communities. The key ideas of C-MLC are that C-MLC automatically determines the number of communities containing the query node by finding the related centroid nodes and uses each query node together with the centroid node to uncover the corresponding community based on a set of high-quality seeds. Through extensive evaluations on real-world networks and synthetic networks, C-MLC outperforms the state-of-the-art methods significantly, demonstrating that finding the centroid nodes is a better approach to uncover the multiple local communities.

关键词： narrative inquiry   decoloniality   praxis   justice   sport  

摘要： Stories are always grounded in personal, collective, and ancestral experiences and come in a variety of visual, performance, textile, and text-based forms. Physical culture participation and politics can be better understood by engaging with the stories of people facing ongoing colonial and epistemic injustices, intersectional oppressions, as well as structural and cultural racism. In contrast to dominant trends in the cultural politics of sport, this article offers an ontological, epistemological, and methodological alternative. Following Black and decolonial scholars, we must honor non-Western storytelling modalities to listen to, tell, show, and center multiple experiences to resist Western colonial culture's binary structures and hierarchies, introduce alternate theorizations, and inject other ways of knowing and being into the (study of) sport and physical cultures. This article highlights several areas of Black and decolonial studies that will be essential to efforts at transformative justice in sport and sports scholarship: interdisciplinarity, counter-storytelling, and creation stories.

ISBN: (纸本)9783959773102

关键词： Graph neural networks   Motion pictures   Electronic mail   Computer science   Collaborative filtering   Behavioral sciences   Software   Collaborative filtering (CF)   disentangled representation learning   graph neural network (GNN)  

摘要： Collaborative filtering (CF) is dedicated to learning the representations of users and items based on interactive data. Regrettably, the lack of fine-grained modeling of interactive motivation makes the model less interpretable. A feasible solution is to combine the disentangling idea with the graph neural network (GNN) and capture different types of interaction relationships by using a message propagation mechanism on the graph of user-item interaction. However, this process typically relies on the disentangling of users' hidden intents, ignoring the significance of item features to user engagement. This fact leads to the inadequate interpretability of existing models. To make up for the deficiency, this article proposes a new feature-aware disentangled GNN (FDGNN) for the recommendation. By learning the relationship between user behavior and important features of items, the model aims to achieve better recommendation performance and model interpretability. In the end, we first realize the feature partition based on mutual information and then design an attention-based graph disentangling model to realize the fine-grained disentangling of user intents. In addition, to further ensure the independence of the disentangled intents, we augment the model with disagreement regularization. Through multilayer embedding propagation, FDGNN can display a capture CF effect in feature semantics. The interpretability and efficiency of our proposed approach are demonstrated by numerous pertinent experiments.