Strategic Minerals,Strategic Moves

China's export control regulations for dual-use items officially came into effect on December 1,accompanied by the implementation of an export control list detailing these items.Dual-use items refer to goods,technologies and services that serve both civilian and military purposes,particularly those that might help enhance military capabilities.This includes their potential use in the design,development,production or deployment of weapons of mass destruction or their delivery systems.China's export control list for dualuse items comprises 10 industry categories,including specialty materials,chemicals,electronics,computers,sensors and lasers,and aerospace.

Analysis of the Energy and Environmental Sustainability of a Built Space System: The Case of Patte d’Oie University Campus in Ouagadougou

The aim of this study was to carry out a dynamic simulation of the energy and environmental performance of a built space system, with a view to assessing its energy and environmental class. The use of a simulation and modeling tool, supported by various methodological references, formed the basis of our approach. Adopting a systemic perspective, we described the structural and functional aspects of the systems making up built spaces, as well as the associated energy flows. Our approach was also based on a typology, taking into account typical days, structural and functional configurations at different scales and angles of observation. The analysis tool we developed in Java was applied to the built space system of the Patte d’Oie university campus in Ouagadougou. Annual electricity consumption was measured at 124387.34 kWh, closely aligned with the average annual electricity bill (125224.31 kWh), with a maximum relative deviation of 1%, followed by a carbon emission balance of 58337.66 kg eq CO2 per year. This validation confirmed the effectiveness of our tool. In addition, following the analysis of electricity consumption using our tool, the university campus was classified in energy class B and environmental class C. These results will be based on the emission factors of the energy mix of the West African Economic and Monetary Union (WAEMU) territory, with particular emphasis on Burkina Faso.

Surface and Content Validity of an Advanced Beginner Nurse’s Self-Monitoring Scale While Multitasking

Background: Self-monitoring is important for recognizing the situations one is facing and assessing one’s own competence to respond appropriately to situations that require multitasking. Purpose: This study aimed to examine the surface and content validity of the Advanced Beginner Nurses’ Self-Monitoring Scale While Multitasking and refine the scale items accordingly. It is expected that the development of such scale will allow for reflection on advanced beginner nurses’ response to multitasking, leading to further capacity building. Methods: The surface validity of 96 items of the Advanced Beginner Nurses’ Self-Monitoring Scale While Multitasking was examined at a meeting with five expert researchers. Five researchers and five nurses examined the items’ content using an item-level content validity index through a questionnaire survey. Results and Conclusion: The Advanced Beginner Nurses’ Self-Monitoring Scale While Multitasking was organized into 73 items that were refined into scales with surface and content validity. Consequently, five sub-concepts were identified: recognizing the situation one’s facing, seeing one’s self from multiple perspectives, devising concrete strategies depending on the situation, considering a predictable time schedule, and being aware of the situation surrounding one’s self. In the future, it will be necessary to examine the reliability and validity of the scale.

A Note on an Order Level Inventory Model with Varying Two-Phased Demand and Time-Proportional Deterioration

The main purpose of this paper is to generalize the effect of two-phased demand and variable deterioration within the EOQ (Economic Order Quantity) framework. The rate of deterioration is a linear function of time. The two-phased demand function states the constant function for a certain period and the quadratic function of time for the rest part of the cycle time. No shortages as well as partial backlogging are allowed to occur. The mathematical expressions are derived for determining the optimal cycle time, order quantity and total cost function. An easy-to-use working procedure is provided to calculate the above quantities. A couple of numerical examples are cited to explain the theoretical results and sensitivity analysis of some selected examples is carried out.

Research on Intelligent Cost Estimation of Engineering Foundation Projects Based on CSIs Theory

Against the backdrop of rapid development in China’s construction and infrastructure sectors,discrepancies between project budgets and actual costs have become pronounced,manifesting in project overruns and suspensions,posing significant challenges.To address inaccuracies in investment targets and operational complexities,this study focuses on a beam-bridge construction project in a district of Shijiazhuang city as a case study.Drawing upon historical analogs,the project employs a Work Breakdown Structure(WBS)to decompose the engineering works.Building on theories of Cost Significant(CS)and Whole Life Costing(WLC),the study constructs Cost Significant Items(CSIs)and develops a CNN-BiLSTM-Attention neural network for nonlinear prediction.By identifying significant cost drivers in engineering projects,this paper presents a streamlined cost estimation method that significantly reduces computational burdens,simplifies data collection processes,and optimizes data analysis and forecasting,thereby enhancing prediction accuracy.Finally,validation with real-world cost fluctuation data demonstrates minor errors,meeting predictive requirements across project execution phases.

基于云计算技术的个性化推荐系统

传统的协同过滤推荐技术在大数据环境下存在一定的不足。针对该问题,提出了一种基于云计算技术的个性化推荐方法:将大数据集和推荐计算分解到多台计算机上并行处理。在对经典Item CF算法Map Reduce化后,建立了一个基于Hadoop开源框架的并行推荐引擎,并通过在已商用的英语训练平台上进行学习推荐工作验证了该系统的有效性。实验结果表明,在集群中使用云计算技术处理海量数据,可以大大提高推荐系统的可扩展性。

基于属性相似性的Item-based协同过滤算法

通过分析传统Item-based协同过滤推荐中的稀疏性问题以及新项目的冷开始问题,提出了一个基于属性相似性的Item-based协同过滤算法。该算法利用项目属性的相似性来修正原始相似性计算,综合考虑项目属性和用户评价对推荐的影响,改进了传统相似性度量方法在评价数据稀疏和新项目推荐中测量结果不够准确的问题。

基于遗传算法的聚类与协同过滤组合推荐算法

使用协同过滤进行推荐,在处理大数据集时存在效率问题和推荐结果质量不高的问题。k均值聚类在处理大数据集时有着较好的性能。针对使用协同过滤进行推荐存在的问题,通过使用遗传算法将聚类和协同过滤组合起来进行项目推荐,以此来提高推荐算法的推荐效率和推荐质量,降低组合聚类和协同过滤进行推荐的复杂度。使用组合得到的算法在MovieLens数据集上做推荐对比实验,结果表明,相比单纯使用协同过滤进行推荐,使用基于遗传算法的聚类与协同过滤组合推荐算法进行项目推荐,能得到质量更好的推荐结果。

PEV:一种新的用于Item-Based协同过滤算法的相似性度量方法

在Item-Based协同过滤算法中,项目之间相似性的度量是整个算法的关键.通过分析传统的相似性度量方法在系统评分数据稀疏的情况下所存在的弊端,提出一种新的用于Item-Based协同过滤算法的相似性度量方法,该方法从邻近度、影响力、有用性三个方面综合考虑了用户评分对项目相似性的影响.实验结果表明,该方法能够有效地避免传统相似性度量方法所存在的问题,使得数据稀疏性对最终推荐结果的负面影响变小,在一定程度上提高系统的推荐精度.

计算机化自适应测验(CAT)的发展和前景展望(续)

三、CAT中对的估计（一）MLE（极大似然估计法）假设一个能力水平为θ的被试对n道项目X1,X2,…,Xn作答。θ的估计可以通过使（8）式所示的似然函数最大化的方式来得到。令（?）n为此时所得的θ估计。显然（?）n也是（9）式的极大似然估计。已知在一定的条件下,（?）n符合渐进正态,其均值为θ,方差近似为I-1n（（?）n）。目前的CAT设计大多通过递归方式在被试回答一个新的项目之后得到最新的θ估计,并根据信息最大化法抽取下一个项目。

INCREMENTAL AUGMENT ALGORITHM BASED ON REDUCED Q-MATRIX

Reduced Q-matrix （Qr matrix） plays an important role in the rule space model （RSM） and the attribute hierarchy method （AHM）. Based on the attribute hierarchy, a valid/invalid item is defined. The judgment method of the valid/invalid item is developed on the relation between reachability matrix and valid items. And valid items are explained from the perspective of graph theory. An incremental augment algorithm for constructing Qr matrix is proposed based on the idea of incremental forward regression, and its validity is theoretically considered. Results of empirical tests are given in order to compare the performance of the incremental augment algo-rithm and the Tatsuoka algorithm upon the running time. Empirical evidence shows that the algorithm outper-forms the Tatsuoka algorithm, and the analysis of the two algorithms also show linear growth with respect to the number of valid items. Mathematical models with 10 attributes are built for the two algorithms by the linear regression analysis.

基于改进的双极Slope One算法的农业信息推荐模型研究

为了在海量信息中为用户提供有价值的信息,个性化在线推荐系统是农业信息化综合服务平台的重要组成部分。Slope One算法因简单高效被许多在线推荐系统使用。对Slope One算法进行研究,并结合农业信息化综合服务平台的特点,提出了农业信息推荐模型。该模型按资源类别把用户评分矩阵划分为评分子矩阵,在此基础上采用杰卡德统一算子距离相似度算法建立用户类别近邻用户,采用改进的双极Slope One算法和Item user average算法相结合的方式对未访问资源进行评分预测,有效降低计算量,并提高了评分预测精度,既适合稠密数据集,又适合稀疏数据集。

基于组合加权评分的Item-based协同过滤算法

针对Item-based协同过滤算法中用户评分数据稀疏性严重影响推荐质量的问题,提出一种基于组合加权评分的Item-based协同过滤算法,以用户评分项并集作为用户相似性计算基础,并提出一种组合加权评分方法来对并集中的未评分项进行计算和填补,从而降低了数据稀疏性。实验结果表明该算法能有效提高推荐质量。

Exif数据格式浅析及其读取应用

照片中镶嵌着丰富的Exif信息,从中可提取出拍摄位置与时间等实用数据服务于我们的工作与生活。本文分析了Exif数据格式,介绍了其读取方法,总结了Exif信息提取算法。结合具体实例,进行测试验证,对日常手机定位精度情况进行了评估。最后,通过生产实践,验证Exif信息对于提高测绘与地理信息单位的作业效率与质量控制的促进作用,同时对应用前景进行了展望。

基于患者医疗服务成本追踪的病种成本核算与应用研究

医疗服务成本核算已成为医院管理的巨大挑战,目前医院较多采用的是基于医疗项目成本叠加的病种成本核算,在实际操作中存在诸多问题和困难。为了寻求核算病种成本的新思路,本文探讨了基于患者个体的医疗服务成本核算理论与实践,给出该成本核算的方式与结果分析,并针对这一方式进行了讨论。

众创空间创客团队的“ITEM”融合模式与循环迭代——基于青创迭代创空间案例研究

以青创迭代创空间两个典型创客团队为案例研究对象,从创客团队的角度,研究其兑现创意、实现创业的过程和内在机理,提出了众创空间"ITEM"融合与循环迭代模型。研究发现:第一,创客团队的创新创业包括创意、技术、企业家精神、制造四个主环节且相互融合;第二,创客团队"ITEM"融合是一个循环迭代的过程。通过深入现实创客团队调研,总结出的融合模式和循环迭代模式对深入理论探讨和创客团队创新创业实践具有参考价值。

上海23家民营医疗美容机构及其从业人员现况调查

目的 了解民营医疗美容机构医疗美容项目及医护人员配置和能力情况。方法 通过分层抽样抽取上海市5个区23家民营医疗美容机构,采用现场调查、个人访谈及调查表进行调查分析。结果 调查的医疗美容机构以医疗门诊部为主(73.91%),60%以上经营时间在10年以内,60%以上设立在写字楼内或沿街商铺。项目以轻医疗美容为主,皮肤美容项目最多,占95.65%,其次是美容外科,占91.30%。美容间、手术室及苏醒室的平均周转速度分别为每间201.72人次/月、42.41人次/月及167.19人次/月。平均每家机构有专业医护人员40.08人、行政辅助人员21.52人。感染控制(以下简称“感控”)人员的均数为2.17人/家,专职比例为36.00%。感控继续教育中无菌操作、手卫生、安全注射等项目的培训参与率为95.45%、90.91%、68.18%。结论 民营医疗美容机构项目主要以轻医疗美容为主,感控能力建设不足,在硬件设置、人员配备和培训上仍需加强。

ITEM ToolKit软件在电力系统可靠性分析中的应用

美国ITEM软件公司推出的ITEM ToolKit可靠性分析软件,功能强大,操作方便,在介绍其基本功能的基础上,阐述了如何将其应用于电力系统可靠性分析中,该软件可以满足电力系统多种可靠性分析的需求。

自适应用户的Item-based协同过滤推荐算法

传统Item-based协同过滤算法计算两个条目间相似性时,将每个评分视为同等重要,忽略了共评用户(对两个条目共同评分的用户)与目标用户间的相似性对条目间相似性的影响。针对此问题,提出了一种自适应用户的Item-based协同过滤算法。该算法将共评用户与目标用户的相似性作为共评用户评分重要性的权重,以实现针对不同的目标用户,为目标条目选择不同的、适合目标用户的最近邻居集,从而提高推荐准确性。实验结果表明,提出的算法可以显著提高推荐系统的推荐质量。