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关键词： 数据挖掘   决策树   能力指标   数据中心  

摘要： 数据挖掘技术的飞速发展为高校研究人员提供了一种实证研究的手段。很多高校研究员在高校教学、科研、实习、就业等方面开展数据挖掘的应用研究,对提高高校的教学管理水平、科研水平、毕业生就业率等方面都起到了很好的指导作用。本文以计算机专业为例,采用数据挖掘中的决策树算法,实现了毕业生成绩数据和就业数据的整合研究,并给出了毕业生精准就业的路径。首先实时抽取教务处学生成绩数据与就业中心毕业生回访数据建立学生数据中心,然后采用决策树算法对数据中心的学生各个维度的数据进行分析,找出影响学生就业的各科权值,通过计算加权平均数得出在校学生的能力指标分数。该分数可以为在校学生就业推荐提供参考依据,能够有效地实现毕业生的精准就业。

摘要： Robert reviews The Beauty of Mathematics in Computer Science by Jun Wu.

关键词： Europe   Government   Computer science   Google  

摘要： Presents corrections to author names in the paper, “***: Characteristics and experiences,” IEEE Trans. Learn. Technol., vol. 11, no. 3, pp. 321–333, Jul.–Sep. 2018.

关键词： 计算机   科学技术网站   设计   实现   方法  

摘要： 随着我国科学技术不断发展,当今信息技术发展速度越来越快,人们对网络的需求也不断提高,人们的日常生活、工作、学习等也因为网络而产生了变化,网络技术的发展打破了时间与空间的限制,网站类型也不断增多,其中科学技术网站已经成为了行业的热点话题。基于此,本文重点对计算机科学技术网站的设计与实现进行深度探究。

关键词： COMPUTER programming   COMPUTER science   NONFICTION  

关键词： Business   Careers   Computer science  

摘要： Tomasz Głowacki’s career now straddles academia and industry, thanks to his participation in a leadership programme organized by the Polish government.

关键词： Prognostic awareness   life-sustaining treatments   blinded randomized clinical trial   end-of-life care   neoplasms   END-OF-LIFE   DECISION-MAKING   PALLIATIVE CARE   SUSTAINING TREATMENTS   PREFERENCES   ASSOCIATIONS   OUTCOMES   DISCUSSIONS   ANXIETY   LUNG  

摘要： Context/Objective. Half of advanced cancer patients do not have accurate prognostic awareness (PA). However, few randomized clinical trials (RCTs) have focused on facilitating patients' PA to reduce their life-sustaining treatments at end of life (EOL). To address these issues, we conducted a double-blinded RCT on terminally ill cancer patients. Methods. Experimental-arm participants received an individualized, interactive intervention tailored to their readiness for advanced care planning and prognostic information. Control-arm participants received a symptom-management educational treatment. Effectiveness of our intervention in facilitating accurate PA and reducing life-sustaining treatments received, two secondary RCT outcomes, was evaluated by intention-to-treat analysis using multivariate logistic regression. Results. Participants (N = 460) were randomly assigned 1:1 to experimental and control arms, each with 215 participants in the final sample. Referring to 151-180 days before death, experimental-arm participants had significantly higher odds of accurate PA than control-arm participants 61-90, 91-120, and 121-150 days before death (adjusted odds ratio [95% CI]: 2.04 [1.16-3.61], 1.94 [1.09-3.45], and 1.93 [1.16-3.21], respectively), but not one to 60 days before death. Experimental-arm participants with accurate PA were significantly less likely than control-arm participants without accurate PA to receive cardiopulmonary resuscitation (CPR) (0.16 [0.03-0.73]), but not less likely to receive intensive care unit care and mechanical ventilation in their last month. Conclusion. Our intervention facilitated cancer patients' accurate PA early in their dying trajectory, reducing the risk of receiving CPR in the last month. Health care professionals should cultivate cancer patients' accurate PA early in the terminal-illness trajectory to allow them sufficient time to make informed EOL-care decisions to reduce CPR at EOL. (C) 2019 American Academy of Hospice and Pall

关键词： Computer science   Biotechnology   Environmental science  

摘要： Anaerobic digestion is a versatile method for wastewater treatment as it not only reduces the waste but also leads to production of renewable energy. Modeling of the anaerobic process requires knowledge of biological and physico-chemical conditions, bacterial growth kinetics, substrate utilization, and product synthesis. However, the complexity of the process calls for highly sophisticated models requiring very high level of expertise and knowledge in the subject. This paper presents an approach for modeling of anaerobic digestion process through which the correlation between various process parameters can be studied, knowledge can be extracted, and system behaviour can be predicted. The datasets have been generated using a synthetic Matlab-Simulink-Excel model and process modelling is done using Kohonen Self organizing maps (KSOM). The resulting KSOM provided a visual interpretation of the inter-relationships between parameters (OLR, Sac, pH, Shco3, Q, Sglu_in, Qgas_out, Sglu_out, and Sch4_gas_out) which would help semi-skilled operators for operation and control of such plants. The model accurately predicts the variations in methane and total gas output with respect to changes in input parameters as the correlation is more than 90% for most of the parameters. This methodology offers a platform for scientists and researchers in comprehending the system behaviour under various operating conditions, even with missing data.

关键词： Computer science  

摘要： Artificial Neural networks (ANNs) are often applied to data classification problems. However, training ANNs remains a challenging task due to the large and high dimensional nature of search space particularly in the process of fine-tuning the best set of control parameters in terms of weight and bias. Evolutionary algorithms are proved to be a reliable optimization method for training the parameters. While a number of conventional training algorithms have been proposed and applied to various applications, most of them share the common disadvantages of local optima stagnation and slow convergence. In this paper, we propose a new evolutionary training algorithm referred to as LPSONS, which combines the velocity operators in Particle Swarm Optimization (PSO) with Mantegna Levy distribution to produce more diverse solutions by dividing the population and generation between different sections of the algorithm. It further combines Neighborhood Search with Mantegna Levy distribution to mitigate premature convergence and avoid local minima. The proposed algorithm can find optimal results and at the same time avoid stagnation in local optimum solutions as well as prevent premature convergence in training Feedforward Multi-Layer Perceptron (MLP) ANNs. Experiments with fourteen standard datasets from UCI machine learning repository confirm that the LPSONS algorithm significantly outperforms a gradient-based approach as well as some well-known evolutionary algorithms that are also based on enhancing PSO.

摘要： The article discusses the Washington Supreme Court's ruling in the 2018 case State v. Gregory which deals with the court's determination that Washington state's death penalty scheme is unconstitutional, and it mentions how defendant Allen Gregory was convicted of aggravated first-degree murder and sentenced to death in 2001. American state constitutional law and the legal aspects of capital punishment in the U.S. are assessed.