Influence of Psychiatric Problems on Clinical Outcomes during the First 12 Months after Primary Total Knee Arthroplasty

Background: Total knee arthroplasty (TKA) is a useful treatment option for advanced knee osteoarthritis. Excellent clinical outcomes after TKA have been widely recognized, but the influence of psychiatric problems on them has not been focused on until quite recently. This study aimed to assess the influence of psychiatric problems on clinical outcomes after TKA in Japanese patients using two assessment scales developed in Japan because the Japanese cultural lifestyle is specifically characterized by bending to the floor and standing up. Methods: Clinical outcomes and psychiatric problems were evaluated using the Japanese Knee Osteoarthritis Measure (JKOM) and Brief Scale for Psychiatric Problems in Orthopaedic Patients (BS-POP), respectively. A total of 115 TKA patients were evaluated preoperatively and at 3, 6, and 12 months after TKA. The patients were classified into four groups (groups A-D) based on the BS-POP score. The JKOM scores were then compared between the two groups (groups A and D) with the worst and least psychiatric problems. The JKOM improvement rate between pre- and postoperative status in both groups A and D was also calculated. Results: The total JKOM score was significantly poorer in group A than in group D preoperatively and at 3, 6, and 12 months after TKA. The improvement rate showed no significant difference between groups A and D. Conclusion: Psychiatric problems influence both the poorer post- and preoperative clinical outcomes. However, a similar improvement rate in both groups A and D has indicated that TKA can be an effective treatment even for patients with psychiatric problems.

Improved Interference Suppression Algorithm Against Broadband BPSK Interference

An improved polar exciser （IMPE） interference suppression method against broadband constant envelope binary phase shift keying （BPSK） interference is proposed. The disadvantage of traditional polar exciser （PE） is the performance degradation when the power of interference is low, i.e., the threshold effect. The proposed improved PE （IMPE） algorithm can overcome the threshold effect of PE by introducing compression gain （CG） metric, which forces PE suppressor active only at larger jammer-to-signal ratio （JSR） and switch to matched filter （MF） at lower JSR. Theoretical analysis and numerical simulations show the exactness of CG as a switching metric and the validity of the IMPE algorithm.

Research on Effective Access for Strengthening and Improving the Management and Benefit use of Large Instruments

The purchasement and development as well as the benefit of utilization for the large equipment in universities of China are analyzed in this paper, the paper in dicates that in utilization of large equipment the contradictions such as urgency and necessity for the purchasement and development of large equipment and serious waste in resources since inadequacy of annual utilization rate of large equipment are existed, it also raises that the key step of giving full play to the benefit of large equipment is to strengthen management and development after the equipment are purchased, the paper regards through stressing standardized management and maintenance、opening the laboratory、improving the functions of equipment、renovating technology、fully examining and scientifically deciding before purchasement, the investment benefit for the large equipment can be raised effectively.

An auditory periphery model for improving narrow-band noise recognition rate of underwater targets

The recognition rate of the auditory periphery features decreases when the model is used to identify underwater targets in practice. To solve this problem, an improved method based on Gammatone filter bank is proposed. Firstly, after the reason of the decreasing of the recognition results is analyzed, the mechanism of multichannel data acquisition in acoustic engineering may narrow down signal frequency range, which leads to time-frequency features distortion. Secondly, the Gammatone filter bank is implemented to simulate frequency decom- position characteristics of human ear basilar membrane. Since the class information of the underwater noise signal is mostly contained in low frequency range, the auditory features of the conventional model are interpolated and the channel number of the filter bank and the central frequency of each frequency band are adjusted accordingly to obtain a 27-dimensional feature vector of the narrow-band target signal. The adjusted model may reflect the target＇s time- frequency feature more precisely. Finally, the performance of the auditory features is tested by a Neural Network classifier. The experiment results show that the modified auditory model is more effective than the conventional ones. The major information contained in broadband signals is reserved and the classification ability for real targets is further enhanced. The recog- nition results are increased from 82.59% to 88.80%. The modified auditory features effectively improve the recognition rate for underwater target radiated noise signals.