ObjectiveReminiscence therapy (RT) ameliorates psychological problems and quality of life in cancer patients. However, no study reports its effect on older papillary thyroid carcinoma (PTC) patients. This study intended to investigate the effect of the RT-care program (CP) on anxiety, depression, quality of life, and survival in older PTC patients.MethodsEighty-six postoperative older PTC patients were enrolled and randomly assigned to RT-CP group (N = 44) and usual (U)-CP group (N = 42) as a 1:1 ratio for a 6-month intervention. Hospital Anxiety and Depression Scale (HADS) and Quality of Life Questionnaire-Core 30 (QLQ-C30) scores were assessed at baseline, month (M)1, M2, M4, and M6.ResultsHADS and QLQ-C30 scores at baseline were not different between two groups. Additionally, HADS-anxiety score at M6 (p = 0.029), and HADS-depression score at M2 (p = 0.030), M4 (p = 0.029), M6 (p = 0.012) were reduced in RT-CP group versus U-CP group. Meanwhile, anxiety and depression rates from M1 to M6 were slightly decreased in RT-CP group versus U-CP group but did not reach statistical significance. Furthermore, depression severity at M6 was reduced in RT-CP group versus U-CP group (p = 0.049). Besides, QLQ-C30 global health status was increased at M2 (p = 0.023) and M6 (p = 0.033), QLQ-C30 function score was elevated at M2 (p = 0.040) and M4 (p = 0.035), while QLQ-C30 symptom score was decreased at M2 (p = 0.046) in RT-CP group versus U-CP group. Moreover, disease-free survival and overall survival were not different between two groups.ConclusionRT-CP may be a potential intervention for ameliorating anxiety, depression, and quality of life in older PTC patients.

The work presented here is concerned with the antenna array design in collocated multiple-input multiple-output (MIMO) radars. After knowing the system requirements, the antenna array design problem is formulated as a standard polynomial factorization. In addition, an algorithm based on Newton-Schubert-Kronecker (NSK) polynomial factorization is proposed. The algorithm contains three steps. First, linear factors are extracted by extended Vieta theorem. Then, undermined high-order factors are confirmed with Newton interpolation and certain high-order factors should be searched for within the undermined ones. Finally, the antenna array configurations are determined according to the result of polynomial factorization. Simulations confirm the wide use of the proposed algorithm in MIMO radar antenna array design.

Multiple-Input-Multiple-Output (MIMO) radar is recently the focus of radar research, which transmits different waveforms to illuminate the target from different antennas simultaneously. However the cross correlation of the waveforms may lead to interference between receiving signals. In this paper, we consider the use of adaptive pulse compression based on successive interference cancellation (SIC) to mitigate the mutual interference in MIMO radar receiver. The proposed method cancels interference successively on the pulse compression stage of each observation channel by subtracting the estimation of prior channel. The simulation results demonstrate the effectiveness of the proposed method.

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