Serum cystatin C and chemerin levels in diabetic retinopathy

Peer reviewedPublisher PD

Analysis of friction force of magneto-rheological damper with a novel mathematical model

There are many conflicting viewpoints for friction force of MR damper. Readers may be lost in facing these conflicting viewpoints. In this study, a novel model of friction force of MR damper is proposed. This model tries to reveal the essence and help readers have a better understanding of friction force of MR damper. The model indicates that the friction force only relates to the current applied to the piston coil. The friction force will increase along with current applied to the piston coil. Friction force tests for a MR damper featuring bypass holes in piston were made on a MTS852 system. The model was improved to be correct by the experiment. Friction forces by calculation with the model and by experiment are in good agreement. It is believed that sliding friction and MR phenomenon contribute to the friction force

A Method for Filling up the Missed Data in Information Table

Almost algorithms based on the rough sets, such as mean value method, maximum frequency method, mode method are week in supporting the hidden rules in the information tablel. By the breaking point sets in the information system, a new method for packing the missed attribute value is provided in the paper,. The method is more efficient for indicating the decision rules

Constraint Programming Approach to Steelmaking-making Process Scheduling

This paper presents a constraint programming (CP) approach to optimal steelmaking process scheduling with constraints of processing time, limited waiting time between adjacent stages, serial batching, sequence independent setup time, release/due time, and with the objective of minimizing maximal total waiting time between adjacent charges in the same casts. The model and search strategies are proposed. Numerical experiments with the steel making process show that CP approach, under appropriate formulation and search strategies, can not only describe the problem exactly, but also can solve the problem more effectively and efficiently compared with classical exact algorithms and heuristic rule

Data Mining In Oil Price Time Series Analysis

This paper sums up the applications of statistic models such as ARCH-family models, cointegration theory and Granger causality etc in oil price time series analysis and introduces the method of data mining combined with statistic knowledge to analysis oil price time series. In addition, the paper also explains advantages, functions, relevant technologies of this method and its potential applications in hedging the oil shock risk

Spontaneous pneumomediastinum, pneumothorax and subcutaneous emphysema in COVID-19: case report and literature review

Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide. Numerous studies have shown its typical and atypical CT findings. We report one COVID-19 patient who presented with a transient pneumothorax, spontaneous pneumomediastinum (SP), as well as subcutaneous emphysema during hospitalization. Chest CT andclinical findings were discussed, and a literature review is presented. The probable cause of SP in COVID-19 was alveolar damage. Once pneumothorax and SP were present, the patient should be carefully monitored to prevent respiratory deterioration, especially when lung lesions are severe