Recommending suitable learning scenarios according to learners’ preferences: An improved swarm based approach

The paper presents a new approach for recommending suitable learning paths for different learners groups. Selection of the learning path is considered as recommendations to choosing and combining the sequences of learning objects (LOs) according to learners’ preferences. Learning path can be selected by applying artificial intelligence techniques, e.g. a swarm intelligence model. If we modify and/or change some LOs in the learning path, we should rearrange the alignment of new and old LOs and reallocate pheromones to achieve effective learning recommendations. To solve this problem, a new method based on the ant colony optimisation algorithm and adaptation of the solution to the changing optimum is proposed. A simulation process with a dynamic change of learning paths when new LOs are inserted was chosen to verify the method proposed. The paper contributes with the following new developments: (1) an approach of dynamic learning paths selection based on swarm intelligence, and (2) a modified ant colony optimisation algorithm for learning paths selection. The elaborated approach effectively assist learners by helping them to reach most suitable LOs according to their preferences, and tutors – by helping them to monitor, refine, and improve e-learning modules and courses according to the learners’ behaviour.     

Automatic classification and prediction models for early Parkinson’s disease diagnosis from SPECT imaging

Early and accurate diagnosis of Parkinson’s disease (PD) is important for early management, proper prognostication and for initiating neuroprotective therapies once they become available. Recent neuroimaging techniques such as dopaminergic imaging using single photon emission computed tomography (SPECT) with ¹²³I-Ioflupane (DaTSCAN) have shown to detect even early stages of the disease. In this paper, we use the striatal binding ratio (SBR) values that are calculated from the ¹²³I-Ioflupane SPECT scans (as obtained from the Parkinson’s progression markers initiative (PPMI) database) for developing automatic classification and prediction/prognostic models for early PD. We used support vector machine (SVM) and logistic regression in the model building process. We observe that the SVM classifier with RBF kernel produced a high accuracy of more than 96% in classifying subjects into early PD and healthy normal; and the logistic model for estimating the risk of PD also produced high degree of fitting with statistical significance indicating its usefulness in PD risk estimation. Hence, we infer that such models have the potential to aid the clinicians in the PD diagnostic process.     

基于信息资源聚合的农民专业合作社信息系统

针对农民专业合作社信息获取与信息发布难、成本高的问题,提出基于XM L Schema的农民专业合作社信息聚合元数据表示规范,设计数据传输流程和信息定制与智能推送机制,建设两层部署体系的农民专业合作社信息系统。系统信息服务中心与农业搜索引擎（AgSoso）相结合,为远端用户系统提供最新的信息资源;系统客户端实现合作社生产经营信息的本地化管理,并向信息服务中心同步最新的农产品等信息。应用结果表明,该方案投入成本、维护成本低,资源利用效率高,具有较高的实用应用价值,为农民专业合作社提供了一套基于多来源数据聚合服务的技术解决方案。     

Adaptive tracking control of an autonomous underwater vehicle

This paper presents the trajectory tracking control of an autonomous underwater vehicle(AUV). To cope with parametric uncertainties owing to the hydrodynamic effect, an adaptive control law is developed for the AUV to track the desired trajectory. This desired state-dependent regressor matrix-based controller provides consistent results under hydrodynamic parametric uncertainties.Stability of the developed controller is verified using the Lyapunov s direct method. Numerical simulations are carried out to study the efficacy of the proposed adaptive controller.     

双甲苯基乙酰基－1，3－茚满二酮铵盐（双甲苯敌鼠铵盐）的合成

以三氯异丙醇、甲苯、邻苯二甲酸二甲酯为原料，合成了新型杀鼠剂双甲苯基乙酰基－１，３－茚满二酮铵盐，并对其结构进行了验证。     

汕头市城市定位与可持续发展战略研究

城市定位就是对城市未来发展方向和发展目标的拟定,是城市规划建设的重要组成部分.文章在对城市定位的涵义理解和城市发展战略思考的基础上,分析了城市定位与城市发展战略的互动机制,提出了汕头市新时期的城市定位.同时,提出并详细探讨了基于城市定位的汕头市可持续发展战略构想.     

浅析卢梭的公意思想

公意思想是卢梭社会契约论的逻辑桥梁.卢梭运用公意的概念,构建其脑海中应然的理想王国.卢梭的公意思想对后世产生了重要影响,现代协商民主理论从卢梭那里找到了思想资源.同时,卢梭的公意思想也存在缺陷和不足.故对卢梭公意思想的梳理是认识卢梭政治思想的重要入口.     

一种类Lorenz系统与Lorenz系统的异结构混沌同步

用两种不同的方法──主动控制法和Lyapunov直接法,实现了一种具有极其丰富的动力学现象的类Lorenz系统和Lorenz系统的异结构同步,并且设计了不同的控制器使得响应系统与驱动系统同步,采用Matlab进行数值仿真,方法切实可行。