A project targeted approach is the methodological basis for organizing professional education, which deals with learning objectives, content, and technologies as a professional activity design where all components-of a teaching process are constructed on an integrative basis. The project targeted approach is the basis for a project method. The latter ensures that the learning objectives are achieved through the creation of a professionally significant problem, which should yield a real, tangible practical result. At the same time, the organization of a specialist's training and professional activities undergoes a complete cycle: from revelation of a problem to implementation of a project, its assessment and reflection (a comparative analysis of the organization and quality of practical activity). The high effectiveness of the project method contributes to the better environmental training of parasitologists and to the improvement of their professional readiness to solve specific parasitogenic problems.
Download full-text PDF |
Source |
---|
Viruses
November 2024
Division of Infectious Diseases and Global Public Health, University of California San Diego, La Jolla, CA 92093, USA.
In 2020, the in the county of San Diego (COSD) was launched, a private-public joint endeavor between the COSD and the American Liver Foundation. We use epidemic modeling to assess whether the COSD is on track to reach its elimination targets (80% reduction in incidence, 65% reduction in hepatitis C virus (HCV)-related mortality by 2030 compared to 2015) and what intervention scale-up may be required. We adapted a previously developed dynamic, deterministic model of HCV transmission and disease progression among adults in the COSD, stratified by risk, age, gender, and human immunodeficiency virus (HIV) status.
View Article and Find Full Text PDFVaccines (Basel)
December 2024
Institute for Global Health, University of Siena, 53100 Siena, Italy.
Background/objectives: A "people-centered" approach is one of the core principles of the Immunization Agenda (IA) 2030 and emphasizes the need for services to be organized around the needs and expectations of individuals and the community. A better understanding of the immunization experience from the client's perspective is key to guiding the design of policies and interventions aimed at improving immunization delivery and coverage. This study provides a synthesis of the immunization experiences of children's caregivers in Cameroon, highlighting potential barriers for timely and complete immunization.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450000, China.
To address the limitations of existing deep learning-based algorithms in detecting surface defects on brake pipe ends, a novel lightweight detection algorithm, FP-YOLOv8, is proposed. This algorithm is developed based on the YOLOv8n framework with the aim of improving accuracy and model lightweight design. First, the C2f_GhostV2 module has been designed to replace the original C2f module.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Urban Construction and Transportation, Hefei University, Hefei 230601, China.
Unlicensed taxis seriously disrupt the transportation market order, and threaten passenger safety. Therefore, this paper proposes a method for identifying unlicensed taxis based on travel characteristics. First, the vehicle mileage and operation time are calculated using traffic surveillance bayonet data, and variance analysis is applied to identification indicators for unlicensed taxis.
View Article and Find Full Text PDFSensors (Basel)
December 2024
The State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China.
In physical spaces, pointing interactions cannot rely on cursors, rays, or virtual hands for feedback as in virtual environments; users must rely solely on their perception and experience to capture targets. Currently, research on modeling target distribution for pointing interactions in physical space is relatively sparse. Area division is typically simplistic, and theoretical models are lacking.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!