An Algorithm Framework for Drug-Induced Liver Injury Prediction Based on Genetic Algorithm and Ensemble Learning

In the process of drug discovery, drug-induced liver injury (DILI) is still an active research field and is one of the most common and important issues in toxicity evaluation research. It directly leads to the high wear attrition of the drug. At present, there are a variety of computer algorithms based on molecular representations to predict DILI. It is found that a single molecular representation method is insufficient to complete the task of toxicity prediction, and multiple molecular fingerprint fusion methods have been used as model input. In order to solve the problem of high dimensional and unbalanced DILI prediction data, this paper integrates existing datasets and designs a new algorithm framework, Rotation-Ensemble-GA (R-E-GA). The main idea is to find a feature subset with better predictive performance after rotating the fusion vector of high-dimensional molecular representation in the feature space. Then, an Adaboost-type ensemble learning method is integrated into R-E-GA to improve the prediction accuracy. The experimental results show that the performance of R-E-GA is better than other state-of-art algorithms including ensemble learning-based and graph neural network-based methods. Through five-fold cross-validation, the R-E-GA obtains an ACC of 0.77, an F1 score of 0.769, and an AUC of 0.842.     

模电教学中工程观念的培养

"模拟电子线路"课程是工科本科电子信息类专业的一门重要的专业基础课程.本文以集成运放电路在压力检测中的应用为例,探讨了模拟电子线路课程教学中如何将理论联系实际、如何培养工程观念、如何将基本理论与工程应用相结合等问题.通过课程教案示例,阐述了工程观念的培养在教学实践中的具体做法.     

Role of Natural Compounds and Target Enzymes in the Treatment of Alzheimer’s Disease

Alzheimer’s disease (AD) is a progressive neurological condition. The rising prevalence of AD necessitates the rapid development of efficient therapy options. Despite substantial study, only a few medications are capable of delaying the disease. Several substances with pharmacological activity, derived from plants, have been shown to have positive benefits for the treatment of AD by targeting various enzymes, such as acetylcholinesterase (AChE), butyrylcholinesterase (BuChE), β-secretase, γ-secretase, and monoamine oxidases (MAOs), which are discussed as potential targets. Medicinal plants have already contributed a number of lead molecules to medicine development, with many of them currently undergoing clinical trials. A variety of medicinal plants have been shown to diminish the degenerative symptoms associated with AD, either in their raw form or as isolated compounds. The aim of this review was to provide a brief summary of AD and its current therapies, followed by a discussion of the natural compounds examined as therapeutic agents and the processes underlying the positive effects, particularly the management of AD.     

基于SOANet的圆锥角膜辅助诊断

亚临床期圆锥角膜(subclinical keratoconus, subkc)发病隐匿,现有医疗设备诊断存在局限性,所以提出一种诊断亚临床期圆锥角膜的检测方法是十分必要的。有研究发现圆锥角膜(Keratoconus, kc)力学性能的改变早于形态学,因此从角膜生物力学的角度筛查亚临床期的圆锥角膜更加符合临床实际。本文运用角膜生物力学特征,以点云数据作为网络输入数据,将SO-Net (self-organizing network)和自注意力(self-attention, SA)机制结合构建SOANet,对圆锥角膜、亚临床期圆锥角膜和正常角膜进行分类。首先,利用可视化生物力学分析仪(corneal visualization Scheimpflug technology, Corvis ST)拍摄角膜受力形变视频,对其进行处理得到点云数据集,接着对点云数据进行增强处理,使3种类型的角膜数据量分布均衡。然后按照3∶1的比例划分训练集和测试集,分别对角膜进行二分类和三分类。最终模型在二分类和三分类测试集上的准确率分别达到98.3%和91.26%,即有效识别亚临床期圆锥角膜和圆锥角膜。实验...     

微流控光脉冲调制器

为了解决常见光调制器偏振依赖或结构复杂的问题,本文基于微流控光学提出一种可控光脉冲调制器。利用基于T形结产生的离散液滴和全反射原理的微流控光开关,将连续光变换成数字脉冲信号,并通过调节液滴的长度和生成速率调制光脉冲的宽度和频率。所提微流控光脉冲调制器具有结构简单、插入损耗低、消光比高、易集成的优点。微流控光脉冲调制器的流场与光场特性被分析,结构被优化。研究结果显示：该光脉冲调制器的消光比为17.74 dB,插入损耗为0.49 dB。     

一种在抢险抗灾中保障特殊用户通信畅通的无线接入网络应急方案——GSM用户接入等级控制

在某些特殊情况下,移动运营商希望能够实现用户的分级接入网络,以保障一些特殊用户的通信畅通。尤其是在地震、洪灾等自然灾害造成了部分地区通信严重受损的情况下,保障特殊用户的通信顺畅就显得更加重要了。针对这种需求,本文重点介绍了接入等级控制的方案,而且还将此方案与增强多级优先和抢占的方案在实现难度和最终效果等方面进行了简单的对比。     

Single-Stage Extraction and Separation of Co2+ from Ni2+ Using Ionic Liquid of [C4H9NH3][Cyanex 272]

The purpose of this study was to optimize the extraction conditions for separating Co²⁺ from Ni²⁺ using N-butylamine phosphinate ionic liquid of [C₄H₉NH₃][Cyanex 272]. A Box–Behnken design of response surface methodology was used to analyze the effects of the initial pH, extraction time, and extraction temperature on the separation factor of Co²⁺ from sulfuric acid solution containing Ni²⁺. The concentrations of Co²⁺ and Ni²⁺ in an aqueous solution were determined using inductively coupled plasma-optical emission spectrometry. The optimized extraction conditions were as follows: an initial pH of 3.7, an extraction time of 55.8 min, and an extraction temperature of 330.4 K. The separation factor of Co²⁺ from Ni²⁺ under optimized extraction conditions was 66.1, which was very close to the predicted value of 67.2, and the error was 1.7%. The equation for single-stage extraction with high reliability can be used for optimizing the multi-stage extraction process of Co²⁺ from Ni²⁺. The stoichiometry of chemical reaction for ion-exchange extraction was also investigated using the slope method.     

低强度激光辐照对蝗虫活性的影响

为研究低强度激光辐照对蝗虫活动能力的影响,以减少农药的使用量和降低农药的浓度,选择大功率连续型近红外半导体二极管激光器,针对3龄至4龄期东亚飞蝗蝻虫头部位置,在距离激光发光面4cm处,进行2s和4s的辐照试验,分别观察比较辐照前后蝗虫的活性和活性降低程度．试验结果表明,辐照前,蝗虫具有较高的活性,辐照后蝗虫的活性降低,并逐渐趋于一致性;辐照时间越长,蝗虫的活性降低程度越高。说明低强度近红外激光辐照蝗虫头部位置能明显抑制其活动能力。     

第三代移动通信系统中应用的LDMOS器件

介绍了在第三代移动通信系统的基站中应用的 LDMOS器件的现状及关键技术     

红外探测器组网预警技术研究

通过对红外探测器组网的可行性进行分析和对其优化配置,数据接入与融合以及预警系统评估技术进行研究,为发展预警探测系统的集成实验提供了技术支撑,并为提升我国红外探测器组网技术水平提出了一些新的思路.