Imam Abdulrahman Bin Faisal University

Ebtesam Abdullah Al-Suhaimi

Abdulhadi Baykal

Firdos Alam Khan

Yassine Slimani

Munirah Abdullah Almessiere

Fatiamh Alzahrani

Tahani Mohammed Alfareed

Hind Ahmed Al-Rubaish

Abdulsalam Abdullah Al-Sulaiman

Omaima Alabdullatif

A magnetoelectric nanocomposite (MEN) is described. The MEN are used as a colorectal cancer treatment. The MEN includes a shell having at least one ferroelectric compound and a rare earth (R) metal doped spinel ferrite nanoparticle (SFNP) core, of a formula of CoMnRFeOwherein x=0.1-0.9, y=1.90-1.99, and z=3-5; and R is at least one rare earth metal selected from the group consisting of cerium (Ce), europium (Eu), gadolinium (Gd), terbium (Tb) and thulium (Tm). A method of making MENs is also provided.

Magnetoelectric nanocomposites and method of preparation thereof

Systems and methods for determining an amount of correlation between non-orthogonal vectors characterizing quantified employee request submissions include generating a prioritization matrix for a request submission including entries associated with characteristics of the request submission considered important by one or more approvers; generating a request attribute vector characterizing attributes of a request extracted from the request submission; calculating a product for each entry of the prioritization matrix by multiplying corresponding entries of the prioritization matrix and the request attribute vector; applying a weighting factor to the product for each entry of the prioritization matrix resulting in weighted products for each entry of the prioritization matrix; accumulating the weighted products into a request quality score indicating an amount of correlation between the prioritization matrix and the request attribute vector; and transmitting an enhanced data packet to another computing device including the request attribute vector, prioritization matrix, or request quality score.

System for enhancing on-campus communications through vector correlation quantification for employee request submissions

Systems and methods for determining an amount of correlation between non-orthogonal vectors characterizing quantified curricula participation include generating a prioritization matrix for the scholarship including entries associated with ideal characteristics of scholarship applicants; generating an applicant attribute vector characterizing attributes of an applicant extracted from the application; calculating a product for each entry of the prioritization matrix by multiplying corresponding entries of the prioritization matrix and the applicant attribute vector; applying a weighting factor to the product for each entry of the prioritization matrix resulting in weighted products for each entry of the prioritization matrix; accumulating the weighted products into an applicant quality score indicating an amount of correlation between the prioritization matrix and the applicant attribute vector; transmitting an enhanced data packet to another computing device including the applicant attribute vector, the prioritization matrix, or the applicant quality score; and calculating a remaining scholarship budget.

System and method for determining an amount of correlation between non-orthogonal vectors characterizing curricula participation

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Dammam, Saudi Arabia

Ebtesam Abdullah Al-Suhaimi