Living planktonic foraminifera from the northwestern Pacific Ocean: SSU rDNA sequences and their paleoceanographic significance

Living planktonic foraminifera (PF) samples from the Okinawa Trough of the northwestern Pacific Ocean were taken for DNA analysis. The SSU rDNA sequences of two PF species, Globigerina sp. and Pulleniatina obliquiloculata collected at Station WP01, were obtained and compared with those from the southwestern Pacific Ocean. Only small differences (< 0.7%-1.2% for P. obliquiloculata, and 0.3% for Globigerina sp.) were found between samples from the north- and south-western Pacific Ocean areas and this molecular evidence supported that these micropaleontological species are the same species, which implies that the West Pacific Ocean circulation system influences the planktonic foraminiferal gene communication.

节能型自治式多功能海洋环境监测系统的数据采集控制器的研究

在海洋学研究、海洋生产和工程建设应用中，经常需要对特定区域的海水参数进行长期、定点、实时的垂直剖面测量。锚系浮标和潜标是海洋监测网中最普遍采用的搭载平台之一，它们主要用于海洋环境定点监测。海洋浮标在研究海洋和大气的相互作用及全球气候变化、预报全球性和地区性海洋灾害、海洋污染监测、卫星遥感数据真实性校验、以及作为平台用于水声通讯和水下定位等方面发挥了重要作用，其缺点在于隐蔽性和安全性较差。潜标监测平台由于其主浮体安装在水下50-100米，具有良好的隐蔽性和安全性，在构建海洋立体监测系统中有较好的应用，但由于它总是隐藏在海表面以下，所搭载的测量传感器的种类有限，数据实时传送困难，从某种程度上也限制了其应用。 节能型自治式多功能海洋环境监测系统将定点锚泊潜标和浮标技术相结合，并创新性的融进了节能技术和自动防触碰功能，利用简约的传动储能节能技术，以C8051F340单片机为核心控制芯片，设计了低功耗、高可靠的数据采集控制存储系统的硬件电路和软件系统，使系统不但能够完成锚泊区域海表面水文参数的测量和数据传送，同时依靠单一的传感器组能够完成深达50米以上的水体次表层海洋要素的连续垂直剖面观测。系统利用SD卡实现了对海洋要素采集数据的实时存储和传送。低功耗、高可靠的数据采集控制存储系统的设计为海洋测量仪器实现智能化控制奠定了基础，提升了人类对海洋进行持续现场监测的能力。

敏捷制造:高技术产业化之路

“敏捷制造”是指企业能抓住瞬息即逝的机遇，快速推出高性能、高可靠性及顾客能接受的价格的新产品的能力。在敏捷制造企业中，有创新能力和经验的员工是企业的主要财富。敏捷制造为高新技术产业化开拓了生产规模与市场规模开拓同步增长的可行道路，又在企业与用户之间建立起崭新的“战略”依存关系。

表面相关多次波衰减方法与应用研究

The function of seismic data in prospecting and exploring oil and gas has exceeded ascertaining structural configuration early. In order to determine the advantageous target area more exactly, we need exactly image the subsurface media. So prestack migration imaging especially prestack depth migration has been used increasingly widely. Currently, seismic migration imaging methods are mainly based on primary energy and most of migration methods use one-way wave equation. Multiple will mask primary and sometimes will be regarded as primary and interferes with the imaging of primary, so multiple elimination is still a very important research subject. At present there are three different wavefield prediction and subtraction methods: wavefield extrapolation; feedback loop; and inverse-scattering series. I mainly do research on feedback loop method in this paper. Feedback loop method includs prediction and subtraction.Currently this method has some problems as follows. Firstly, feedback loop method requires the seismic data used to predict multiple is full wavefield data, but usually the original seismic data don’t meet this assumption, so seismic data must be regularized. Secondly, Multiple predicted through feedback loop method usually can’t match the real multiple in seismic data and they are different in amplitude, phase and arrrival time. So we need match the predicted multiple and that in seismic data through estimating filtering factors and subtract multiple from seismic data. It is the key for multiple elimination how to select a correct matching filtering method. There are many matching filtering methods and I put emphasis on Least-square adaptive matching filtering and L1-norm minimizing adaptive matching filtering methods. Least-square adaptive matching filtering method is computationally very fast, but it has two assumptions: the signal has minimum energy and is orthogonal to the noise. When seismic data don’t meet the two assumptions, this method can’t get good matching results and then can’t attenuate multiple correctly. L1-norm adaptive matching filtering methods can avoid these two assumptions and then get good matching results, but this method is computationally a little slow. The results of my research are as follows: 1. Proposed a method that interpolates seismic traces based on F-K migration and demigration. The main advantage of this method is that it can interpolate seismic traces in any offsets. It shows this method is valid through a simple model. 2. Comparing different Least-square adaptive matching filtering methods. The results show that equipose multi-channel adaptive matching filtering methods can get better results of multiple elimination than other matcing methods through three model data and two field data. 3. Proposed equipose multi-channel L1-norm adaptive matching filtering method. Because L1-norm is robust to large amplitude differences, there are no assumption on the signal has minimum energy and orthogonality, this method can get better results of multiple elimination. 4. Research on multiple elimination in inverse data space. The method is a new multiple elimination method and it is different from those methods mentioned above.The advantages of this method is that it is simple in theory and no need for the adaptive subtraction and computationally very fast. The disadvantage of this method is that it is not stabilized in its solution. The results show that equipose multi-channel and equipose pesudo-multi-channel least-square matching filtering and equipose multi-channel and equipose pesudo-multi-channel L1-norm matching filtering methods can get better results of multiple elimination than other matcing methods through three model data and many field data.

乌鲁木齐河源1号冰川表层雪的化学特征——以低分子有机酸和无机阴离子为例

表层雪是联系大气成分与冰芯记录的重要纽带,是研究成冰作用过程中化学组成变化的起点.为配合天山乌鲁木齐河源1号冰川成冰作用过程中化学组成变化的研究,对1号冰川积累区(海拔4130 m)一个完整年度的表层雪样品进行了低分子有机酸和无机阴离子含量的分析.结果显示:表层雪中低分子有机酸主要有HCOO-、CH3COO-、C2H5COO-和(COO)22-,无机阴离子主要有F-、Cl-、NO2-、NO3-、SO42-和PO43-.除(COO)22-外,大部分高浓度的有机酸…

Three Cuts for Accelerated Interval Propagation

This paper addresses the problem of nonlinear multivariate root finding. In an earlier paper we described a system called Newton which finds roots of systems of nonlinear equations using refinements of interval methods. The refinements are inspired by AI constraint propagation techniques. Newton is competative with continuation methods on most benchmarks and can handle a variety of cases that are infeasible for continuation methods. This paper presents three "cuts" which we believe capture the essential theoretical ideas behind the success of Newton. This paper describes the cuts in a concise and abstract manner which, we believe, makes the theoretical content of our work more apparent. Any implementation will need to adopt some heuristic control mechanism. Heuristic control of the cuts is only briefly discussed here.

Novel information sharing syntax for data sharing between police and community partners, using role-based security.

The exchange of information between the police and community partners forms a central aspect of effective community service provision. In the context of policing, a robust and timely communications mechanism is required between police agencies and community partner domains, including: Primary healthcare (such as a Family Physician or a General Practitioner); Secondary healthcare (such as hospitals); Social Services; Education; and Fire and Rescue services. Investigations into high-profile cases such as the Victoria Climbié murder in 2000, the murders of Holly Wells and Jessica Chapman in 2002, and, more recently, the death of baby Peter Connelly through child abuse in 2007, highlight the requirement for a robust information-sharing framework. This paper presents a novel syntax that supports information-sharing requests, within strict data-sharing policy definitions. Such requests may form the basis for any information-sharing agreement that can exist between the police and their community partners. It defines a role-based architecture, with partner domains, with a syntax for the effective and efficient information sharing, using SPoC (Single Point-of-Contact) agents to control in-formation exchange. The application of policy definitions using rules within these SPoCs is inspired by network firewall rules and thus define information exchange permissions. These rules can be imple-mented by software filtering agents that act as information gateways between partner domains. Roles are exposed from each domain to give the rights to exchange information as defined within the policy definition. This work involves collaboration with the Scottish Police, as part of the Scottish Institute for Policing Research (SIPR), and aims to improve the safety of individuals by reducing risks to the community using enhanced information-sharing mechanisms.

Cloud Computing - health care's silver lining.

Cloud computing is the technology prescription that will help the UK’s National Health Service (NHS) beat the budget constraints imposed as a consequence of the credit crunch. The internet based shared data and services resource will revolutionise the management of medical records and patient information while saving the NHS millions of pounds.

Review of "Coding for Success" implementation.

Coding for Success was published in 2007 and described how bar coding and similar technologies can be used to improve patient safety, reduce costs and improve efficiency. This review aims to outline progress made since 2007, and was recommended by the Health Select Committee in its 2009 report on Patient Safety.

The mechanical and thermal structure of Mercury's early lithosphere

Cook, Anthony; Watters, T.R.; Schultz, R.A.; Robinson, M.S., (2002) 'The mechanical and thermal structure of Mercury's early lithosphere', Geophysical Research Letters 29(11) pp.1542 RAE2008

Rozbudowane niemieckie frazy nominalne i ich polskie odpowiedniki. Studium konfrontatywne

Wydział Neofilologii: Instytut Lingwistyki Stosowanej

Timeliness via Speculation for Real-Time Databases

Various concurrency control algorithms differ in the time when conflicts are detected, and in the way they are resolved. In that respect, the Pessimistic and Optimistic Concurrency Control (PCC and OCC) alternatives represent two extremes. PCC locking protocols detect conflicts as soon as they occur and resolve them using blocking. OCC protocols detect conflicts at transaction commit time and resolve them using rollbacks (restarts). For real-time databases, blockages and rollbacks are hazards that increase the likelihood of transactions missing their deadlines. We propose a Speculative Concurrency Control (SCC) technique that minimizes the impact of blockages and rollbacks. SCC relies on the use of added system resources to speculate on potential serialization orders and to ensure that if such serialization orders materialize, the hazards of blockages and roll-backs are minimized. We present a number of SCC-based algorithms that differ in the level of speculation they introduce, and the amount of system resources (mainly memory) they require. We show the performance gains (in terms of number of satisfied timing constraints) to be expected when a representative SCC algorithm (SCC-2S) is adopted.

Learning Euclidean Embeddings for Indexing and Classification

BoostMap is a recently proposed method for efficient approximate nearest neighbor retrieval in arbitrary non-Euclidean spaces with computationally expensive and possibly non-metric distance measures. Database and query objects are embedded into a Euclidean space, in which similarities can be rapidly measured using a weighted Manhattan distance. The key idea is formulating embedding construction as a machine learning task, where AdaBoost is used to combine simple, 1D embeddings into a multidimensional embedding that preserves a large amount of the proximity structure of the original space. This paper demonstrates that, using the machine learning formulation of BoostMap, we can optimize embeddings for indexing and classification, in ways that are not possible with existing alternatives for constructive embeddings, and without additional costs in retrieval time. First, we show how to construct embeddings that are query-sensitive, in the sense that they yield a different distance measure for different queries, so as to improve nearest neighbor retrieval accuracy for each query. Second, we show how to optimize embeddings for nearest neighbor classification tasks, by tuning them to approximate a parameter space distance measure, instead of the original feature-based distance measure.

The role of mitogen activated protein kinase phosphatase-1 in neurotoxic and inflammatory-induced changes in the development of midbrain dopaminergic neurons: relevance to Parkinson’s disease

Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterised by the loss of midbrain dopaminergic neurons from the substantia nigra pars compacta(SNpc), which results in motor, cognitive and psychiatric symptoms. Evidence supports a role for the mitogen-activated protein kinase p38 in the demise of dopaminergic neurons, while mitogen-activated protein kinase phosphatase-1 (MKP-1), which negatively regulates p38 activity, has not yet been investigated in this context. Inflammation may also be associated with the neuropathology of PD due to evidence of increased levels of proinflammatory cytokines such as interleukin-1β (IL-1β) within the SNpc. Because of the specific loss of dopaminergic neurons in a discreet region of the brain, PD is considered a suitable candidate for cell replacement therapy but challenges remain to optimise dopaminergic cell survival and morphological development. The present thesis examined the role of MKP-1 in neurotoxic and inflammatory-induced changes in the development of midbrain dopaminergic neurons. We show that MKP-1 is expressed in dopaminergic neurons cultured from embryonic day (E) 14 rat ventral mesencephalon (VM). Inhibition of dopaminergic neurite growth induced by treatment of rat VM neurons with the dopaminergic neurotoxin 6- hydroxydopamine (6-OHDA) is mediated by p38, and is concomitant with a significant and selective decrease in MKP-1 expression in these neurons. Dopaminergic neurons transfected to overexpress MKP-1 displayed a more complex morphology and contributed to neuroprotection against the effects of 6-OHDA. Therefore, MKP-1 expression can promote the growth and elaboration of dopaminergic neuronal processes and can help protect them from the neurotoxic effects of 6-OHDA. Neural precursor cells (NPCs) have emerged as promising alternative candidates to fetal VM for cell replacement strategies in PD. Here we show that phosphorylated (and thus activated) p38 and MKP-1 are expressed at basal levels in untreated E14 rat VM NPCs (nestin, DCX, GFAP and DAT-positive cells) following proliferation as well as in their differentiated progeny (DCX, DAT, GFAP and βIII-tubulin) in vitro. Challenge with 6-OHDA or IL-1β changed the expression of endogenous phospho-p38 and MKP-1 in these cells in a time-dependent manner, and so the dynamic balance in expression may mediate the detrimental effects of neurotoxicity and inflammation in proliferating and differentiating NPCs. We demonstrate that there was an up-regulation in MKP-1 mRNA expression in adult rat midbrain tissue 4 days post lesion in two rat models of PD; the 6-OHDA medial forebrain bundle (MFB) model and the four-site 6-OHDA striatal lesion model. This was concomitant with a decrease in tyrosine hydroxylase (TH) mRNA expression at 4 and 10 days post-lesion in the MFB model and 10 and 28 days post-lesion in the striatal lesion model. There was no change in mRNA expression of the pro-apoptotic gene, bax and the anti-apoptotic gene, bcl-2 in the midbrain and striatum. These data suggest that the early and transient upregulation of MKP-1 mRNA in the midbrain at 4 days post-6-OHDA administration may be indicative of an attempt by dopaminergic neurons in the midbrain to protect against the neurotoxic effects of 6-OHDA at later time points. Collectively, these findings show that MKP-1 is expressed by developing and adult dopaminergic neurons in the midbrain, and can promote their morphological development. MKP-1 also exerts neuroprotective effects against dopaminergic neurotoxins in vitro, and its expression in dopaminergic neurons can be modulated by inflammatory and neurotoxic insults both in vitro and in vivo. Thus, these data contribute to the information needed to develop therapeutic strategies for protecting midbrain dopaminergic neurons in the context of PD.

Resonant power conversion topologies for inductive charging of electrical vehicle batteries

This thesis is concerned with inductive charging of electric vehicle batteries. Rectified power form the 50/60 Hz utility feeds a dc-ac converter which delivers high-frequency ac power to the electric vehicle inductive coupling inlet. The inlet configuration has been defined by the Society of Automotive Engineers in Recommended Practice J-1773. This thesis studies converter topologies related to the series resonant converter. When coupled to the vehicle inlet, the frequency-controlled series-resonant converter results in a capacitively-filtered series-parallel LCLC (SP-LCLC) resonant converter topology with zero voltage switching and many other desirable features. A novel time-domain transformation analysis, termed Modal Analysis, is developed, using a state variable transformation, to analyze and characterize this multi-resonant fourth-orderconverter. Next, Fundamental Mode Approximation (FMA) Analysis, based on a voltage-source model of the load, and its novel extension, Rectifier-Compensated FMA (RCFMA) Analysis, are developed and applied to the SP-LCLC converter. The RCFMA Analysis is a simpler and more intuitive analysis than the Modal Analysis, and provides a relatively accurate closed-form solution for the converter behavior. Phase control of the SP-LCLC converter is investigated as a control option. FMA and RCFMA Analyses are used for detailed characterization. The analyses identify areas of operation, which are also validated experimentally, where it is advantageous to phase control the converter. A novel hybrid control scheme is proposed which integrates frequency and phase control and achieves reduced operating frequency range and improved partial-load efficiency. The phase-controlled SP-LCLC converter can also be configured with a parallel load and is an excellent option for the application. The resulting topology implements soft-switching over the entire load range and has high full-load and partial-load efficiencies. RCFMA Analysis is used to analyze and characterize the new converter topology, and good correlation is shown with experimental results. Finally, a novel single-stage power-factor-corrected ac-dc converter is introduced, which uses the current-source characteristic of the SP-LCLC topology to provide power factor correction over a wide output power range from zero to full load. This converter exhibits all the advantageous characteristics of its dc-dc counterpart, with a reduced parts count and cost. Simulation and experimental results verify the operation of the new converter.