Risk Control Evaluation Research Articles

Factors Influencing Occupational Health and Safety among Nursing Students in Their Clinical Placements: A Cross-Sectional Study.

Occupational health and safety aims to promote and maintain optimal physical, mental, and social health for workers in their occupations. Within Saudi Arabia, adequate information must be gathered to address the various factors influencing occupational health and safety among nursing students to minimize occupational health hazards and ensure a safe clinical environment. This cross-sectional study was conducted in Riyadh, Saudi Arabia, between April and September 2023, involving 150 nursing students. Data collection included questions to gather sociodemographic information, and contained an instrument assessing the participants' knowledge of occupational health and safety and evaluation of risk control in clinical environments. Blood and other bodily fluids, workplace violence, needle-stick injuries, and injuries caused by sharp instrument tools were identified as the most prevalent occupational risks among the participants. Most nursing students were aware of occupational health and safety, with a high level of compliance with occupational health and safety measures and personal protective equipment use. We also identified a statistically significant correlation between occupational health and safety knowledge and risk control evaluation among nursing students. To ensure a safe and beneficial clinical training area, student nurses must complete extensive occupational health and safety courses before moving to clinical areas to reduce potential hazards that may affect their lives.

A lending scheme based on smart contract for banks

In this paper, we work towards bank loans. This task is nontrivial due to the following problem: small enterprises and individuals have difficulties in lending, banks bear high risks, and the lending business is greatly affected by the subjective influence of staff. Towards this end, we propose a novel loan investment model and smart contract algorithm. Afterwords, we build an intelligent risk control evaluation algorithm based on deep learning. To justify our work, we implemented a distributed application that can run safely. In addition, using the data set of paipai loan, the accuracy of our intelligent risk control evaluation algorithm is 94.33%.

The risk control evaluation for supply chain based on knowledge management

The supply chain risk control has recently attracted much attention from both researchers and practitioners. How to evaluate the risk control of supply chains plays an important role to meet the requirement of diverse customers. Knowledge-based risk control evaluation shares the real-time supply chain knowledge for decision-making. This paper proposes a risk control evaluation model for supply chains based on knowledge management. It contains three sub-systems: 1) supply chain custom system, which gathers and monitors supply chain risk information; 2) supply chain knowledge system, which communicates, associates, cooperates and masters the knowledge in use of risk control based on established index system; 3) decision-making control and feedback system, which performs decision evaluation based on fuzzy inference to make the decision-making competitive. A risk control evaluation case study demonstrates that our methods significantly evaluates the supply chain risk control performance in terms of accuracy compared with expert judgment.

The risk control evaluation for supply chain based on knowledge management

The supply chain risk control has recently attracted much attention from both researchers and practitioners. How to evaluate the risk control of supply chains plays an important role to meet the requirement of diverse customers. Knowledge-based risk control evaluation shares the real-time supply chain knowledge for decision-making. This paper proposes a risk control evaluation model for supply chains based on knowledge management. It contains three sub-systems: 1 supply chain custom system, which gathers and monitors supply chain risk information; 2 supply chain knowledge system, which communicates, associates, cooperates and masters the knowledge in use of risk control based on established index system; 3 decision-making control and feedback system, which performs decision evaluation based on fuzzy inference to make the decision-making competitive. A risk control evaluation case study demonstrates that our methods significantly evaluates the supply chain risk control performance in terms of accuracy compared with expert judgment.

A Business Process-Based Risk Evaluation Framework

To present the essence of information system risk evaluation and improve the effect of evaluation, the paper puts forward a business process-based information system risk evaluation after analyzing the current risk evaluation methods. The framework begins with the description of business process in perspective of information security and then analyzes and assesses the business activities. The risk-control evaluation of business activities is brought forward and the optional security control measures are comprehensively evaluated so as to ensure security of business activities. The framework focuses on business process activities so that information system assets, their vulnerabilities and threats are associated and evaluation of isolated and meaningless assets is avoided.