Algorithm

This dataset contains simulated records for 3,000 students, generated for the purpose of evaluating fairness in predicted grading models. The dataset includes decile rankings based on historical performance, predicted grades, and demographic attributes such as socioeconomic status, school type, gender, and ethnicity. The data was created using controlled randomization techniques and includes noise to reflect real-world prediction uncertainty. While entirely synthetic, the dataset is designed to mimic key structural patterns relevant to algorithmic fairness and educational inequality.

This dataset contains simulated records for 3,000 students, generated for the purpose of evaluating fairness in predicted grading models. The dataset includes decile rankings based on historical performance, predicted grades, and demographic attributes such as socioeconomic status, school type, gender, and ethnicity. The data was created using controlled randomization techniques and includes noise to reflect real-world prediction uncertainty. While entirely synthetic, the dataset is designed to mimic key structural patterns relevant to algorithmic fairness and educational inequality.

This data port serves as a valuable extension to the article titled "Algorithmic Framework for Analyzing and Simulating Multi-axial Robotic Transformations in Spatial Coordinates." It provides Python script implementations of the simulation algorithm detailed in the paper. These scripts are designed to allow seamless adoption and experimentation with the proposed algorithm, enhancing its usability for researchers and practitioners alike.

The following dataset is used to test lossless compression algorithm on already compressed data, i.e. reduce data size even further without compromising its integrity. This Dataset has 1.000 “.txt” text files extracted from other Datasets and compressed in “.zip” format with a maximum size of 1 kB (Kilobyte), that is, 1.024 bytes. The largest Dataset file has 1670 characters including “text_zip (970).zip” spaces, and the smallest repository file has 14 characters with “text_zip (1).zip” spaces.

Implementation of the time-domain directional TD32 introduced by SEL in Matlab/Simulink based on the user manual of SEL T401L for the researchers who need to simulate this relay. 

Currently, the largest integer being verified for Collatz conjecture is about 2^60 . To verify whether extremely large integers such as 2^{100000}-1 can return 1, we design a new algorithm.  This dedicated algorithm can change numerical computation into bit or charter computation, hence, original dynamics for extremely large integer without upper bound can be computed.