Perceptual evaluation

Perceptual evaluation of the voice, commonly and erroneously termed psychoacoustic evaluation, is subjective and is based on comparisons with another voice or with the listener's previous impressions of the same voice. Although it is applied universally, it is terminologically confusing. To increase reliability, continuous training in listening for voice parameters is essential, and frequent tape recordings are needed to facilitate comparisons.     

慢性铅中毒一例

详细问诊，为诊断慢性铅中毒提供了重要依据。     

铜锌含量对肿瘤的诊断价值

探讨了血清、头发中Cu、Zn及Cu／Zn比值对肺癌、肝癌及胃肠道肿瘤的诊断价值，检测了171例样品，并与156名健康者进行对比研究．结果显示血清和头发Cu、Cu／Zn可作为恶性肿瘤的筛选指标，发Cu、Cu／Zn有助于肺癌临床分期，血清Cu有助于肝癌诊断和预示进展程度，而Cu／Zn可能对胃肠道肿瘤的诊断和预后更有用．     

Color Measurement in Leaf Diagnosis

Abstract

The paper presents for the first time in literature the use of color measurement in leaf diagnosis. It uses the data obtained in certain well- established conditions, in CIE 1976 system for quantifying the color changes of leaves in different sufference (plant or leaf damage) symptoms.

The data are presented for sugar beet plants, but the application can be easily extended to any crop, arboretums, or ecological systems.

As a further extension of the study, it can be used in the telediagnosis of plants' sufferences by plane or even by satellite.     

基于功率谱包络能量和SVM的舰用发动机故障诊断

发动机是军舰上的重要部件之一,其稳定性对军舰的正常航行具有重要影响。以舰用发动机关键部件(主泵轴承)为具体研究对象,提出了基于功率谱包络能量和支持向量机相结合的故障诊断方法。首先获取了大量可表征舰用发动机主泵轴承健康状态的振动加速度信息,对其进行功率谱分析,获得其功率谱的包络能量;以获取的舰用发动机主泵轴承功率谱的包络能量构建特征向量,并设计基于SVM的舰用发动机主泵轴承故障诊断模型,对主泵轴承的故障进行诊断研究。研究结果表明,采用基于功率谱包络能量和SVM相结合的舰用发动机关键部件故障诊断方法,可以很好实现主泵轴承的故障诊断效能,为舰用发动机主泵轴承故障诊断的工程应用奠定了基础。     

模拟退火优化SVM参数的变压器故障诊断

利用群智能算法优化支持向量机(SVM)参数往往需要引入额外的变量,使变压器故障诊断问题更加复杂,对此提出一种自适应的模拟退火算法优化(ASA)支持向量机参数。通过设计自适应的冷却进度表,使得寻参的过程仅仅依赖于退火速率以及网格搜索粒度,保持了较少的参数设置。在相关数据集上的实验表明,与已提出的粒子群算法(PSO)、遗传算法(GA)相比,ASA算法具有更快的收敛速度以及较好的诊断精度。利用自适应的模拟退火算法能够较好的优化SVM参数并提高变压器故障诊断的精度。     

Functionalization of bismuth sulfide nanomaterials for their application in cancer theranostics

Multifunctional bismuth sulfide (Bi₂S₃) nanomaterials exhibit significant potential as nanomedicines for the diagnosis and treatment of cancer. These nanomaterials act as excellent photothermal agents and radiation sensitizers for the treatment of tumors, and they can also act as contrast agents for computed tomography (CT) imaging, photoacoustic imaging (PA), and other forms of imaging to provide real-time tumor monitoring and testing guidance. Compared with other nanomaterials, Bi₂S₃ nanomaterials can readily adapt to different applications by virtue of the fact that they can be easily functionalized. However, these nanomaterials have some limitations that cannot be ignored and need to be addressed, such as poor biocompatibility, toxicity, and low chemical stability. It is widely believed that appropriate functionalization of Bi₂S₃ nanomaterials could remedy such defects and significantly improve performance. This review summarizes the ways in which Bi₂S₃ nanomaterials can be functionalized and discusses their applications in cancer theranostics over the last few years, focusing particularly on imaging and therapy. We also discuss issues relating to how Bi₂S₃ nanomaterials can be analyzed, including how we might be able to use these systems to inhibit and treat tumors and how current limitations might be overcome to improve treatment efficacy. Finally, we hope to provide inspiration and guidance as to how we might create a more optimized multifunctional nano-system for the diagnosis and treatment of tumors.     

稀土掺杂上转换纳米颗粒-金属有机骨架复合材料的研究进展

稀土掺杂上转换纳米颗粒-金属有机骨架复合材料是一类新型的功能复合材料. 它不仅结合了稀土掺杂上转换纳米颗粒和金属有机骨架这两种材料的特性, 体现了两者复合后的协同效应, 还具有设计灵活和功能易拓展等优势. 本文聚焦稀土掺杂上转换纳米颗粒-金属有机框架复合材料的最新发展, 总结了该类复合材料的制备方法, 介绍了其在生物和催化等领域的应用, 并对其面临的挑战和发展前景进行了展望.