This study research paper investigates how gender discrimination affects corporate performance in Cameroon. Data from the Cameroon Enterprise Survey in 2016 by the World Bank Group and data collected from March 6 to 23rd, 2023, in Douala and Yaoundé, as well as 757 managers' responses, were utilized.  The analysis focused on three organizational levels: employees, management, and business ownership. This study used a mixed method of descriptive and econometric analysis.

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.

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.

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.