Abstract Truck travel time prediction is the basis for real-time optimal scheduling decision of open-pit trucks.Most prediction models for open-pit truck travel time mainly rely on a single machine learning algorithm or model to optimize the hyperparameters, which is difficult to accurately capture the composite characteristics of Front Stabilizer
New-generation trade agreement with Japan: Significance to EU Companies
Objective: The New-generation trade agreements, which include the agreement with Japan, provide wide coverage – not only the liberalisation of trade in goods or services Clothing but also the protection of intellectual property rights, the public procurement market, sustainable development and others.This paper aims to demonstrate key provisions
Thematic Analysis Components of Performance-Based Budgeting at Universities
Objective: The purpose of the present research is to identify the components of performance-based budgeting at universities.Methods: Knee Pads This qualitative research has been designed using a Meta-synthesis strategy based on thematic analysis.Therefore, after searching for specialized research keywords in reputable national and international dat
Evaluation of Hypochondriasis Caused by COVID-19 and its Related Factors among Staff of an Oil Refinery Located in South of Iran
Introduction and purpose: The prevalence of COVID-19 disease has led to many mental disorders, including hypochondriasis.This study aimed to investigate the hypochondriasis caused by COVID-19 disease and its related factors among the staff of an oil refinery located in the south of Iran.Methods: In this cross-sectional study, the study sample inclu