Productivity and costs of slash bundling in Nordic conditions

The number of slash bundlers and the volume of slash bundling have been rapidly increasing during the last few years in Finland. However, no comprehensive time or follow-up studies have been carried out on slash bundling technology in Finland or in any other country. Metsäteho Oy carried out studies on the productivity and costs of slash bundling in different Nordic recovering conditions. The study methods included both time and follow-up studies. Data were collected during the summer and winter period primarily in Norway spruce (Picea abies L. Karst.) dominated clear cutting sites. The bundling techniques performed by different types of bundler (Fiberpac 370, Timberjack 1490D, Pika RS 2000, Valmet WoodPac) were studied.

The average productivity of slash bundling was 18.1 bundles per operating (E₁₅, including delays shorter than 15 min) hour with the Timberjack 1490D and Fiberpac 370 bundlers in the follow-up study. The operator of the slash bundler had the greatest effect on the productivity of bundling. The prerequisite for increased bundling volumes is a reduction in the costs of the most expensive sub-stage of the bundling supply chain, i.e. bundling itself. This requires improved recovery conditions at bundling sites, increased bundling productivity, larger sized bundles, and the execution of bundling operations in two work shifts using an efficient bundler and effective operator working methods. Implementation of these development measures will bring the bundling supply chain up to a speed that makes it the most competitive supply chain for forest chips in terms of total supply costs for long-distance transportation distances of more than 60 km.     

Regulatory Light Chains in Cardiac Development and Disease

The role of regulatory light chains (RLCs) in cardiac muscle function has been elucidated progressively over the past decade. The RLCs are among the earliest expressed markers during cardiogenesis and persist through adulthood. Failing hearts have shown reduced RLC phosphorylation levels and that restoring baseline levels of RLC phosphorylation is necessary for generating optimal force of muscle contraction. The signalling mechanisms triggering changes in RLC phosphorylation levels during disease progression remain elusive. Uncovering this information may provide insights for better management of heart failure patients. Given the cardiac chamber-specific expression of RLC isoforms, ventricular RLCs have facilitated the identification of mature ventricular cardiomyocytes, opening up possibilities of regenerative medicine. This review consolidates the standing of RLCs in cardiac development and disease and highlights knowledge gaps and potential therapeutic advancements in targeting RLCs.     

Configurational statistics of copolymers prepared by complex-radical polymerization

Radical copolymerization is considered theoretically taking into account the effect of complexing on the configurational statistics of macromolecules formed. Akinetic model has been developed that considers, apart from the ordinary addition of single monomer units to a propagating chain, the possible addition of monomer unit pairs along with a complexing agent in the form of a ternary complex. Within the framework of this model, the problem of calculating the probabilities of formation of any sequences of monomer units (taking into account their microtacticity) in a macromolecule has been rigorously solved as well as the problem of finding the composition distribution of the copolymer formed. It has been shown that this distribution is described by a conventional Gauss law and the appropriate parameters are given. Possible generalizations of the suggested approach are indicated.     

Analysis of a large number of Markov chains competing for transitions

We consider the behaviour of a stochastic system composed of several identically distributed, but non independent, discrete-time absorbing Markov chains competing at each instant for a transition. The competition consists in determining at each instant, using a given probability distribution, the only Markov chain allowed to make a transition. We analyse the first time at which one of the Markov chains reaches its absorbing state. When the number of Markov chains goes to infinity, we analyse the asymptotic behaviour of the system for an arbitrary probability mass function governing the competition. We give conditions that ensure the existence of the asymptotic distribution and we show how these results apply to cluster-based distributed storage when the competition is handled using a geometric distribution.     

小型连锁超市优惠券管理系统的开发

本系统适用于小型连锁超市,主要是从总体上对其优惠券进行管理。本系统具有优惠券类别管理、优惠券规则定义、优惠券发放管理、优惠券使用管理、优惠券查询、优惠券统计、会员优惠券管理等功能。本系统界面友好、直观,操作简便,系统中的多级权限管理等也可以保证数据的安全可靠。     

供应链环境下安全的RFID认证方案

供应链环境下RFID安全认证方案不仅要保证各节点的隐私安全,还应该满足供应链管理需求。针对现有方案存在不能同时兼顾两者的不足,提出一种基于"双重签名"的认证方案。标签的认证信息先后采用访问密钥和认证密钥进行双重签名生成,只有同时具备这两个密钥才能识别标签身份。该方案既可以实现标签在供应链内的安全传递,又能方便供应链的管理。分析表明,该方案较现有方案优势明显。     

主题分析技术在文档聚类中的应用

为解决高频特征对文章的主题信息反映不够全面,无法获得高质量聚类结果的问题,同时为获得聚类后各类别反映信息的精确描述,采用词汇链反映文章所描述的主题信息,并依据文本间词汇链的相似度进行聚类.将聚类后属于同一类别并反映相同主题信息的词汇链进行融合,通过分析各词汇链所描述的主题信息在不同类别内的分布来抽取能够充分反映各类别主题的关键词集合.实验证明该方法比应用高频特征进行聚类的效果好,同时由于分析了主题信息在各类别内的分布情况,使抽取的类别关键词能够很好地体现每个类别所侧重描述的信息.     

随机环境下的幂变换门限ARMA-ARCH模型的极限行为

提出了随机环境下的幂变换门限自回归滑动平均自回归条件异方差模型,得出了其以几何速率收敛的充分条件．     

面向产业链协同SaaS平台的多租户数据加密配置技术研究

针对产业链协同SaaS(software-as-a-service)平台以龙头企业为核心的多租户业务关联特性,并结合其面向企业联盟的独立数据库与共享数据库共享表相结合的数据存储特点,分析了产业链协同SaaS平台以龙头企业为核心的多租户业务数据的安全加密配置需求.通过建立产业链协同SaaS平台的多租户关联模型及面向企业联盟的业务数据加密配置模型,提出了龙头企业业务数据加密配置算法、加密配置元数据驱动的协作企业业务数据加密及提交算法,以及面向龙头企业和协作企业的业务数据查询的解密算法.模型和算法在汽车及零部件产业链协同SaaS平台零部件协同采购订单业务中进行了应用.通过龙头企业的配置,能实现不同联盟的个性化数据加密需求.     

基于时态层次链的Data Cube 多版本维护方案

针对Data Cube的模式变动造成的多版本问题,对时态聚集关系与时态层次链进行了形式化描述,并基于这些关系实现了多个版本的Data Cube的统一生成算法,不仅可以高效地进行Data Cube多个版本的维护,而且在OLAP查询也可以基于时态层次链来执行,从而提高系统的整体效率。