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BMJ Open Qual 2022 Aug;11(3)

Department of Radiology, Aarhus University Hospital, Aarhus, Denmark.

Background: MRI interpretation and accurate radiological staging are crucial to the important treatment decisions and a consequent successful patient outcome in rectal cancer.

Aims: To investigate the effect of intensive training on rectal cancer MRI staging performance of radiologists and the impact of different course elements on learning outcomes.

Methods: In this prospective intervention study, 17 radiology specialists and 1 radiology registrar participated in a training programme including a 6-hour imaging workshop, a 3-hour session of individual feedback and independent MRI readings of primary rectal cancer cases. Read More

Int J Hyperthermia 2022 ;39(1):1052-1063

Army Institute of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.

Objective: The purpose of this article is to discuss the use, comparative efficacy, and research progress of radiofrequency ablation (RFA), alone or in combination with other therapies, for the treatment of hepatocellular carcinoma (HCC).

Method: To search and summarize the basic and clinical studies of RFA in recent years.

Results: RFA is one of the radical treatment methods listed in the guidelines for the diagnosis and treatment of HCC. Read More

Math Biosci Eng 2022 Jun;19(9):9388-9411

School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China.

In the production and processing of precision shaft-hole class parts, the wear of cutting tools, machine chatter, and insufficient lubrication can lead to changes in their roundness, which in turn affects the overall performance of the relevant products. To improve the accuracy of roundness error assessments, Bat algorithm (BA) is applied to roundness error assessments. An improved bat algorithm (IBA) is proposed to counteract the original lack of variational mechanisms, which can easily lead BA to fall into local extremes and induce premature convergence. Read More

Math Biosci Eng 2022 Jun;19(9):8866-8891

School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

Dynamic economic dispatch (DED) is a multi constraint and nonlinear complex problem, which is embodied in the dynamic decision-making coupled with each other in time and space. It is generally transformed into a high-dimensional multi constraint optimization problem. In this paper, a multi Strategy firefly algorithm (MSRFA) is proposed to solve the DED problem. Read More

Math Biosci Eng 2022 Jun;19(9):8833-8865

School of Management Engineering, Zhengzhou University of Aeronautics, China.

As a classic problem of distributed scheduling, the distributed flow-shop scheduling problem (DFSP) involves both the job allocation and the operation sequence inside the factory, and it has been proved to be an NP-hard problem. Many intelligent algorithms have been proposed to solve the DFSP. However, the efficiency and quality of the solution cannot meet the production requirements. Read More