Multi-Criterion Mammographic Risk Analysis Supported with Multi-Label Fuzzy-Rough Feature Selection

Context and background Breast cancer is one of the most common diseases threatening the human lives globally, requiring effective and early risk analysis for which learning classifiers supported with automated feature selection offer a potential robust solution. Motivation Computer aided risk analysis of breast cancer typically works with a set of extracted mammographic features which may contain significant redundancy and noise, thereby requiring technical developments to improve runtime performance in both computational efficiency and classification accuracy. Hypothesis Use of advanced feature selection methods based on multiple diagnosis criteria may lead to improved results for mammographic risk analysis. Methods An approach for multi-criterion based mammographic risk analysis is proposed, by adapting the recently developed multi-label fuzzy-rough feature selection mechanism. Results A system for multi-criterion mammographic risk analysis is implemented with the aid of multi-label fuzzy-rough feature selection and its performance is positively verified experimentally, in comparison with representative popular mechanisms. Conclusions The novel approach for mammographic risk analysis based on multiple criteria helps improve classification accuracy using selected informative features, without suffering from the redundancy caused by such complex criteria, with the implemented system demonstrating practical efficacy

A Code Reviewer Recommendation Approach Based on Attentive Neighbor Embedding Propagation

Code review as an effective software quality assurance practice has been widely applied in many open-source software communities. However, finding a suitable reviewer for certain codes can be very challenging in open-source communities due to the difficulty of learning the characteristics of reviewers and the code-reviewer interaction sparsity in open-source software communities. To tackle this problem, most previous approaches focus on learning developers’ capabilities and experiences and recommending suitable developers based on their historical interactions. However, such approaches usually suffer from data-sparsity and noise problems, which may reduce the recommendation accuracy. In this paper, we propose an attentive neighbor embedding propagation enhanced code reviewer recommendation framework (termed ANEP). In ANEP, we first construct the reviewer–code interaction graph and learn the semantic representations of the reviewer and code based on the transformer model. Then, we explicitly explore the attentive high-order embedding propagation of reviewers and code and refine the representations along their neighbors. Finally, to evaluate the effectiveness of ANEP, we conduct extensive experiments on four real-world datasets. The experimental results show that ANEP outperforms other state-of-the-art approaches significantly

Recent Process and Application of Electrochromism

Based on the research and development of electrochromism, its commercial applications have been realized in the areas of building windows, car rear-view mirrors and aircraft windows. In this paper, constructions, material category, working principles and characteristic requirements of electrochromic device were to described in details. Preparing methods of electrochromic films and technologies requirements for practicality were listed. The status of electrochromic technologies on commercialization and latest research were also summarized and analyzed. Electrochromism has great commercial potential and important social value for green and energy saving, which is the milestone in its developing process. At present, the trend of electrochromic technology is focused on seeking the technical route and process of saving time and cost, exploiting its application areas by combining other technologies and developing practical products. Wet chemical methods with industrial prospect have advantages of lowering cost and increasing efficiency, and can be a research hotspot for popularizing electrochromic technology. Moreover, the development and preparation of electrolyte layer will be the core technology in the future

Progress in Amorphous Transparent Conducting Oxide Thin Films

With the increasing wide application of organic or polymer substrates, amorphous transparent conducting oxides (a-TCOs) had been widely applied to thin-film transistors, polymer/organic solar cells, electrochromic devices, electromagnetic shielding and other areas due to the combined transparency and conductivity as well as stable properties, processing compatibilities with current technologies and free of post-annealing. A-TCOs films were not the amorphous counterpart of crystalline TCOs but prepared with special elements under certain conditions. After the brief introduction to the working principle of TCO, the even general amorphous transparent semiconducting oxide was addressed intensively. It was worth to note that compared with c-TCOs and classic silicon, the features of electronic structure of a-TCOs were the cations with special configuration (n-1)d10ns0. The stable amorphous structure and excellent properties can be conserved due to larger overlap integral between the adjacent atoms, high mobility and robustness. Particularly, the near range structure characterization such as the medium range order, band structure described by density of states and the metastability of amorphous structure and the related properties were introduced as well. Afterwards, the properties and features of N-type and P-type a-TCOs were exampled in details, especially the indium-based systems, such as excellent a-In-Zn-O films. Less example of P-type a-TCOs were shown as no general principle had been formed for that. Finally, many state-of-art applications including thin-film transistor are introduced. Based upon the current status and emerging trend, three potential research perspective directions of a-TCO have been delivered:(1) to further investigate non-indium based a-TCO; (2) to develop on the P-type TCO with novel principle and material systems; (3) to enable the alternative application that occupied by conventional silicon previously