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The dataset contains a series of experiments on Requirement Elicitation conducted at the Universidad Politécnica de Madrid between 2007 and 2016.

The research goal is to understand the impact of the problem domain and personal experience on the effectiveness of the requirements capture. The elicitation technique used was the unstructured interview. Sessions were limited to a short time (around 15 minutes, with exceptions). There were not follow-up interview sessions (with a unique exception).

Research data for Mitigating Safety Risks in Information Systems: A Self-Adaptive Approach Research Data. A controlled experiment was conducted to determine whether SAS, aware of interruptions, improves effectiveness, efficiency, situational awareness, and usability compared to non-adaptive systems in information systems. A total of 30 participants contributed to the controlled experiment.

This dataset comprises user-generated content from Stack Overflow, including post bodies, post tags, and user engagement metrics such as upvotes and downvotes. The data was collected from the stack exchange explorer based on user defined categories and other criteria like reputation and badges as explained in our work.  It was collected to support research in technology and emotion analysis, focusing on understanding user interactions and sentiments within online communities.

Integrating multiple (sub-)systems is essential to create advanced Information Systems. Difficulties mainly arise when integrating dynamic environments, e.g., the integration at design time of not yet existing services. This has been traditionally addressed using a registry that provides the API documentation of the endpoints.

Silicon nitride has greatly improved the versatility of integrated photonics technologies due to its wide transparency window, compatibility with existing CMOS-foundry infrastruc ture, and its potential for extremely low propagation loss. However, its low refractive index reduces mode confinement, increasing the minimum device footprint of components such as the widely-adopted ring resonator filter, resulting in a height ened need for reduced-bending architecture to maintain high integration density.

This paper presents a Tube-based Robust Model Predictive Control (Tube-RMPC) strategy for autonomous vehicle control, designed to address model parameter uncertainties and variations in road-tire adhesion coefficients under complex driving conditions. The proposed approach enhances the representation of vehicle dynamics by introducing a unified vehicle-tire modeling framework, capturing nonlinear characteristics more effectively. To facilitate real-time implementation, the model is systematically linearized and discretized, ensuring computational efficiency.

Abstract—This manuscript introduces the Chaos Fusion Mutation INFO algorithm (CFMINFO), which integrates multiple strategies and updates vector positions through three core processes. These processes incorporate Good Point Set initialization, Sine-Tent-Cosine (STC) chaotic parameterization, and Normal Cloud Mutation strategies. The algorithm is characterized by its simplicity, rapid convergence, and ability to avoid local optima. To validate its performance, CFMINFO is applied to the optimization of linear arrays.

The dataset contains a revised version of the psychophysical color difference Munsell Re-renotation dataset.

Munsell Re-renotation is a psychophysical dataset describing large color differences, featuring 2986 colors characterized by standard colorimetric coordinates (x, y, Y) and coordinates within the Munsell system (H, V, C).The Munsell Re-renotation iteration enhances the uniformity of the system compared to its predecessor, the Munsell Renotation dataset.

Transformers, especially dry-type transformers, which nowadays are going to be employed instead of oil-type transformers, are one of the major equipment in the generation, transmission and distribution network of electric energy. The transformer insulation strength may reduce due to partial discharge (PD) occurrence, and this can finally result in its insulation failure.