Optimal integration of photovoltaic sources and capacitor banks considering irradiance, temperature, and load changes in electric distribution system.

This paper introduces the Efficient Metaheuristic BitTorrent (EM-BT) algorithm, aimed at optimizing the placement and sizing of photovoltaic renewable energy sources (PVRES) and capacitor banks (CBs) in electric distribution networks. The main goal is to minimize energy losses and enhance voltage stability over 24 h, taking into account varying load profiles, solar irradiance, and temperature effects. The algorithm is rigorously tested on standard distribution networks, including the IEEE 33, IEEE 69, and ZB-ALG-Hassi Sida 157-bus systems.

Implementation of 3D Printing and Modeling Technologies for the Fabrication of Dose Boluses for External Radiotherapy at the CLCC of Sétif, Algeria.

In external radiotherapy, dose boluses and compensators are used for treatment of irregular facial topography surfaces. In such cases, skewed isodose curves need to be addressed using a bolus that gives the deep dose distribution a shape adapted to the anatomical structures to be protected or irradiated. The combination of 3D modeling and printing technologies is a promising alternative to the conventional inaccurate and uncomfortable bolus fabrication technique.

A pareto strategy based on multi-objective optimal integration of distributed generation and compensation devices regarding weather and load fluctuations.

In this study, we present a comprehensive optimization framework employing the Multi-Objective Multi-Verse Optimization (MOMVO) algorithm for the optimal integration of Distributed Generations (DGs) and Capacitor Banks (CBs) into electrical distribution networks. Designed with the dual objectives of minimizing energy losses and voltage deviations, this framework significantly enhances the operational efficiency and reliability of the network. Rigorous simulations on the standard IEEE 33-bus and IEEE 69-bus test systems underscore the effectiveness of the MOMVO algorithm, demonstrating up to a 47% reduction in energy losses and up to a 55% improvement in voltage stability.

Bloom's Taxonomy: Framing Virtual Simulations During the COVID-19 Pandemic.

The COVID-19 pandemic required a significant pivot in nursing education, whereby in-person simulations moved to an online format. Kaplan's i-Human Patients was a virtual simulation platform utilized at a large Midwestern university for student nurses. This online virtual simulation platform helped evaluate students' clinical knowledge and understanding using the Bloom's taxonomy framework to scaffold cases.

Improving rural disaster response preparedness.

Background: Disasters happen in all communities and negatively impact the health and safety of populations if not well managed. Rural health organizations face greater challenges when implementing emergency preparedness policies and need unique resources to help ensure the health of their communities. The purpose of this article is to describe the development and evaluation of an agricultural simulation scenario designed for rural health organizations.