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This dataset provides a GraphML‐based representation of an interdependent infrastructure system, covering power, water, transportation, and community infrastructures. Each node is annotated with key attributes such as resource type, criticality, societal vulnerability score (SVS), and capacity—while directed edges capture the flow or dependency relationships among these resources. The dataset facilitates resilience and recovery analysis by enabling repair order simulation, based on certain metrics‐based prioritization.

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In China’s evolving FinTech ecosystem, intelligent recommendation systems have become pivotal for enhancing crowdfunding outcomes. This study integrates the Information Systems Success Model, Dynamic Capabilities Theory, Signaling Theory, and Trust Theory to examine how such systems shape crowdfunding success. Adopting a positivist and quantitative approach, data were collected from 302 users of Chinese crowdfunding platforms employing intelligent recommendation engines.

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Contains data supporting the IEEE TC submission titled "General Principles for Implementing Branch Prediction in Fully Adiabatic, Reversible, and SuperScalar (FARS) Processors". Paper abstract: Adiabatic and reversible logic families take advantage of Landauer's principle to provide a more efficient means of computation using conventional MOSFETs. However, there are performance drawbacks inherent in the way such devices physically operate. Such drawbacks can be overcome by scaling the number of devices to meet performance needs.

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In this dataset, the simulation files of some examples present in the paper "The Power-Oriented Graphs Modeling Technique: From the Fundamental Principles to the Systematic, Step-By-Step Modeling of Complex Physical Systems" are reported. The examples include an electrical system, an hydraulic system, and a DC motor driving an hydraulic pump. The files include ready-to-run Matlab/Simulink simulation files of the system and a report containing the model and and simulation results.  

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The dataset used in this study is sourced from benchmark datasets~\cite{marcelli2022machine} for binary similarity detection and was decompiled using \textit{IDA Pro 7.5}. We selected the following datasets for evaluation: \textit{Coreutils-ARM-32}, \textit{Curl-MIPS-32}, \textit{ImageMagick-ARM-32}, \textit{OpenSSL-X86-32}, \textit{Putty-X86-32}, and \textit{SQLite-X86-32}. These datasets are commonly used, but their application scenarios are relatively limited.

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This dataset was produced as part of the NANCY project (https://nancy-project.eu/), with the aim of using it in the fields of communication and

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222 Views

Architected materials, which are designed and engineered with specific microstructures, hold great promise for healthcare applications. In particular, tensile samples based on architected materials exhibit unique properties that can address key challenges in medical devices and implants. By precisely controlling the architecture at the micro- and nano-scale, these materials can be optimized for high strength-to-weight ratio, tunable stiffness, and enhanced biocompatibility.

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168 Views

This dataset contains detailed player end-game statistics (e.g., number of kills) and in-game events (e.g., player kills) from all professional League of Legends matches held between September 15, 2019, and September 15, 2024. It encompasses a total of 37,388 matches across 392 tournaments, featuring 4,927 unique players. Matches come from all regions and tiers of play.

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478 Views

<p>The <strong>Twitter2015-Urdu Dataset</strong> is a multimodal resource designed to advance Multimodal Named Entity Recognition (MNER) research in Urdu, a low-resource language. It adapts the widely used Twitter2015 English dataset with culturally grounded annotations tailored to Urdu's unique linguistic complexities.

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21 Views

This questionnaire data is used to collect information on airport selection and satisfaction evaluation of air passengers in dual airport cities. We invited passengers who have flown in Beijing, Shanghai, and Chengdu to fill out the questionnaire. The survey results are only for academic research purposes. Please fill out this questionnaire based on the passenger's usual travel situation and personal preferences. Multiple choice questions with 0 indicating no selection and 1 indicating selection, a total of 755 valid questionnaires were collected

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