多发性骨髓瘤并胸腔积液

目的：以胸腔积液为首发症状的多发性骨髓瘤非常罕见，探讨诊断骨髓瘤细胞浸润胸膜的方法。方法：自然沉淀法寻找胸水中多发性骨髓瘤细胞。结果：胸水中找到了成堆的单克隆骨髓瘤细胞。结论；自然沉淀法寻找胸水中骨髓瘤细胞简便易行，是确诊多发性骨髓瘤细胞浸润胸膜的可靠证据，易于推广。     

An embedding strategy on fusing multiple image features for data hiding in multiple images

Data hiding in multiple images has been a significant research direction in information security. How to reasonably design the embedding strategy to spread the payload among multiple images is still an open issue. In this paper, we propose an embedding strategy on fusing multiple features. We utilize the typical characteristic parameters of gray level co-occurrence matrix, the image entropy and the shape parameter to describe image complexity. Furthermore, we combine with the number of cover images, the number of cover images assigned to steganographer and the size of cover image to estimate the steganographic capacity of each image. The strategy is implemented together with some state-of-the-art single image steganographic algorithms. Experimental results demonstrate that the security performance of the proposed strategy is higher than that of the state-of-the-art embedding strategy against the blind universal pooled steganalysis.     

德莫林应用于白血病肛周感染患者的疗效观察

目的探讨德莫林（皮肤创面无机活性诱导敷料）治疗肛周感染的效果。方法将60例肛周感染患者随机分为2组观察组30例理疗加德莫林;对照组30例局部换药、理疗,比较两组疗效。结果观察组疗效明显优于对照组,两组比较差异有统计学意义（P〈0．01）。结论德莫林治疗肛周感染,有效提高了肛周感染的治愈率,减少患者痛苦。     

基于MSINR的上行多用户MIMO多址干扰抑制算法

针对多用户多输入多输出技术上行传输系统,以最大信干噪比作为多址干扰(MAI)抑制的准则提出了一种新算法。该算法充分利用基站接收端所能获知的信道状态信息构造滤波矩阵,以抑制 MAI以及噪声带来的影响。与广泛关注的块对角化 MAI抑制算法相比,该算法考虑了噪声的影响,性能有较大提升。针对非理想信道环境,给出了本文算法的改进,仿真结果表明该算法具有优异的性能。     

基于多元智能理论的计算机教育课程开发

多元智能理论自提出至今已三十余年,并在教育理论与实践融合的过程中逐渐丰富起来。计算机教育目标和课程与多元智能理论表现出惊人的耦合和适切性,这种契合性及多元智能理论对计算机课程开发的潜在指导价值,是当前计算机教育改革研究的理论突破口和实践的切入点。     

微波治疗宫颈糜烂有效功率的探讨

目的筛取治疗不同程度宫颈糜烂的微波有效功率。方法应用不同的微波功率(50W,51W,52W,≥53W)针对轻、中、重度宫颈糜烂进行治疗,治疗后2个月复查宫颈愈合情况,评定疗效。结果中度宫颈糜烂适宜应用52W,53W,轻度糜烂适宜应用50W,51W,重度糜烂适宜应用≥53W。结论选择微波精确有效的功率治疗不同程度的宫颈糜烂,可以达到理想的治疗效果。     

Effects of distance between wells on band structure and characteristics of InGaAs/InGaAsP strain-compensated multiple quantum well lasers

In terms of the multi-well energy representation technique, the effects of the distance between wells on the valence band structure and characteristics are analyzed for InGaAs/InGaAsP strain-compensated multiple quantum well lasers with zero net strain. The computed result shows that a coupling effect exists between the wells, causes an energy split, and affects the properties of the laser, such as the density of states, optical gain, differential gain, threshold wavelength, threshold carrier density and threshold current density. We find that when the distance between wells equals twice the thickness of the well, the effect of the distance between wells on the characteristics of the laser becomes weak. Therefore, for the practical design of lasers, it is reasonable to take the thickness of the barrier to be twice that of the well.     

Application of the divisor method to multiple peak DLTS spectra

The DLTS divisor method, derived in a previous paper, is applied to multiple and overlapping DLTS peaks. An initial analysis is made of two moderately separated peaks. Then, the same peaks are analyzed with 10 percent noise present, using four thermal scans and no signal averaging. The results are compared with those obtained from other methods. Finally, to test the resolution, the peaks are moved together until the method no longer applies. It is found that the divisor method successfully resolves peaks with separation greater than 0.07 eV.     

Improved PVO-based reversible data hiding: A new implementation based on multiple histograms modification

Pixel-value-ordering (PVO) technique is based on ranking the pixels within a block and often employed in reversible data hiding (RDH) to preserve the image fidelity. In this paper, an improved PVO-based algorithm is proposed to achieve a high-performance RDH. We formulate the PVO embedding as a problem of multiple histograms modification (MHM) and make two contributions. Firstly, the existing PVO-based algorithms are generalized in an MHM form and the systematic analysis of performance is offered by considering the parameter determination. Secondly, based on the new framework, an improved implementation of PVO embedding is proposed to adaptively determine the MHM manner by solving the distortion minimization of multiple histograms, which can handle different characteristics in image areas. Experimental results show the superiority of the new algorithm over the state-of-the-art methods.     

DOA estimation of LFM signals based on STFT and multiple invariance ESPRIT

In order to improve the angle measurement precision of LFM signals with a low computational complexity, a direction of arrival (DOA) estimation algorithm STFT-MI-ESPRIT is proposed in this paper. The algorithm is based on short time Fourier transform (STFT) and multiple invariance estimation of signal parameters via rotational invariance techniques (MI-ESPRIT). Firstly, the STFT of the array element’s output is calculated and the signals are transformed to the time-frequency domain. Then the spatial time-frequency distribution matrix can be obtained through selecting multiple single-source time-frequency points in the time-frequency plane and the signal subspace can also be obtained using Eigen decomposition. Finally, the multiple rotational invariant equation of the array based on STFT is obtained and the closed-form solution is obtained using the multi-least-squares (MLS) criterion. The simulation results show that the proposed algorithm can improve the estimation precision greatly compared with the traditional ESPRIT-like algorithms and its computational complexity remains the same in general. This paper also proposes that the STFT-MI-ESPRIT algorithm can use partial rotational invariances of the array instead of all the rotational invariances, which can reduce the computational complexity on the basis of ensuring the estimation precision basically. The simulation results verify the effectiveness of the conclusion.