Systematic risk identification and assessment using a new risk map in pharmaceutical R&D.
Sign Up to like & getrecommendations! Published in 2021 at "Drug discovery today"
DOI: 10.1016/j.drudis.2021.06.015
Abstract: Delivering transformative therapies to patients while maintaining growth in the pharmaceutical industry requires an efficient use of research and development (R&D) resources and technologies to develop high-impact new molecular entities (NMEs). However, increasing global R&D… read more here.
Keywords: using new; new risk; risk; risk map ... See more keywords
Human health risk identification of petrochemical sites based on extreme gradient boosting.
Sign Up to like & getrecommendations! Published in 2022 at "Ecotoxicology and environmental safety"
DOI: 10.1016/j.ecoenv.2022.113332
Abstract: Petrochemical industry is a key industry of soil pollution, which presents great effects on human health and the ecological environment. It is of great significance to achieve rapid, economic and efficient health risk identification for… read more here.
Keywords: risk; gradient boosting; health; health risk ... See more keywords
Dynamic stress characterization and instability risk identification using multisource acoustic signals in cut-and-fill stopes
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-66445-8
Abstract: The quantitative characterization of rock mass and stress changes induced by mining activities is crucial for structural stability monitoring and disaster early warning. This paper investigates the time–space–intensity distribution of microseismic sources during the pillar-free… read more here.
Keywords: stress; identification using; velocity; identification ... See more keywords
Risk identification model for power enterprises based on convolutional neural network.
Sign Up to like & getrecommendations! Published in 2025 at "Scientific reports"
DOI: 10.1038/s41598-025-29109-9
Abstract: This paper proposes a risk assessment model based on Stacking ensemble learning and Convolutional Neural Network (CNN) for power systems with high-penetration renewable energy integration. By constructing wind farm output scenarios for the IEEE 39-bus… read more here.
Keywords: convolutional neural; risk; neural network; model ... See more keywords
Deep learning method for risk identification of autonomous bus operation considering image data augmentation strategies
Sign Up to like & getrecommendations! Published in 2023 at "Traffic Injury Prevention"
DOI: 10.1080/15389588.2023.2171727
Abstract: Abstract Objective The autonomous bus is a key application scenario for autonomous driving technology. Identifying the risk of autonomous bus operation is of great significant to improve road traffic safety and promote the large-scale application… read more here.
Keywords: autonomous bus; risk; image; risk identification ... See more keywords
A Quality Improvement Approach to Violence Reduction: Standardizing the Risk Identification Process.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of nursing care quality"
DOI: 10.1097/ncq.0000000000000713
Abstract: BACKGROUND The impact of aggressive and violent behaviors directed toward staff in psychiatric facilities has layers of implications tied to recruitment and retention, cost, quality and safety. LOCAL PROBLEM Increased patient aggressive behaviors contributed to… read more here.
Keywords: quality improvement; aggression; quality; risk identification ... See more keywords
Extended Dependency Modeling Technique for Cyber Risk Identification in ICS
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3263671
Abstract: Complex systems such as Industrial Control Systems (ICS) are designed as a collection of functionally dependent and highly connected units with multiple stakeholders. Identifying the risk of such complex systems requires an overall view of… read more here.
Keywords: dependency; extended dependency; risk identification; risk ... See more keywords
Emerging risk identification by applying data analytical tools
Sign Up to like & getrecommendations! Published in 2022 at "EFSA Journal"
DOI: 10.2903/j.efsa.2022.e200913
Abstract: Abstract The working programme ‘Emerging risk identification by applying data analytical tools’ was delivered by the Digital Food Chain Education, Research, Development, and Innovation Institute (Digital Food Institute, DFI) on the field of emerging risks… read more here.
Keywords: food; identification applying; emerging risk; risk identification ... See more keywords
Insights into the Fate and Risk Identification of Cyantraniliprole and Lufenuron Based on Pak Choi (Brassica rapa L. subsp. chinensis)
Sign Up to like & getrecommendations! Published in 2025 at "Agronomy"
DOI: 10.3390/agronomy15102289
Abstract: The fate and risk identification of cyantraniliprole (CYA) and lufenuron (LUF) in pak choi were systematically analyzed through an investigation comprising field trials, dissipation kinetics, and dietary risk assessment. Initially, field experiments across ten Chinese… read more here.
Keywords: fate risk; risk; pak choi; risk identification ... See more keywords
Construction of a Joint Newmark–Runout Model for Seismic Landslide Risk Identification: A Case Study in the Eastern Tibetan Plateau
Sign Up to like & getrecommendations! Published in 2024 at "Land"
DOI: 10.3390/land13111832
Abstract: The key to seismic landslide risk identification resides in the accurate evaluation of seismic landslide hazards. The traditional evaluation models for seismic landslide hazard seldom consider the landslide dynamic runout process, leading to an underestimation… read more here.
Keywords: runout; seismic landslide; landslide risk; landslide hazard ... See more keywords