拖曳式测量系统剖面运动控制与数据产品制作

目前，具备升降运动功能，搭载多种传感器的拖曳系统成为国际先进水平的代表。国家863计划项目"拖曳式多参数剖面测量系统"针对我国海域的具体情况，提出研制具备升降功能的，携带CTD，DO，PH，叶绿素荧光计，浊度计，拖曳式营养盐分析仪等监测设备的拖曳系统。该设备的研制将填补我国在先进拖曳技术领域的空白。 作为我国第一种具备升降功能的拖曳系统，适合近海使用，具备快速响应、可靠性良好等特点的运动控制技术和适合多参数同步测量，具备联合计算，多源处理，图形化显示等特点的数据产品制作技术是该系统技术中两个重要组成部分。 本文在拖体动力外型设计基础上，通过对拖缆、拖体运动方程及耦合条件等经典公式分析，利用流体动力试验确定参数等步骤，建立了包含升降速度，抬首速度，拖体深度，俯仰角度等控制变量的拖曳系统运动模型。由于设计拖体适用于近海，运动速度快，系统响应速度与可靠性要求高于轨迹精度要求，因此设计了一种基于PID控制器的波浪运动控制方法，并进行了仿真试验。湖试结果证明该方法能够保证拖体按照预定的深度范围，快速上升下降，完成剖面测量，拖体运动周期稳定、轨迹对称，运动状态平稳。 拖曳式测量不同于传统的测量方式，拖曳测量数据产品制作方法需要充分体现拖曳式测量数据大范围、准同步的特点。本文从测量数据的获取及原始数据格式的设计入手，研究、设计了拖曳式测量数据采集通讯网络和处理软件，针对采样数据的特点设计了数据产品的关键处理技术和完整制作步骤。将该处理技术的结果与相关测量数据进行了比对，并利用海试数据进行了处理演示。

高效液相色谱／质谱分析抱茎獐牙菜提取物中的苷性成分

采用高效液相色谱／质谱法（HPLC／MS）分析抱茎獐牙菜提取物中5种苷性成分。在C18柱上，以甲醇（A：含20％水）和水（B：含10％甲醇）为流动相，流速1mL／min，线性梯度洗脱B从100％到0％，35min，液相色谱-质谱质联用（LC／MS），大气压化学电离源（APCI），对其中5种苷性成分进行定性鉴定。经HPLC／APCIMS分析确证，抱茎獐牙菜提取物中含有獐牙菜苦苷（swertiamarin）、龙胆苦苷（gentiopicroside）、獐牙菜苷（sweroside）、异红草苷（isoorientin）和獐牙菜山酮苷（swertianolin）。采用外标法定量，回收率分别为98．3％、106．7％、92．3％、88．2％和107．3％，该方法简便、快速、准确。

Pollinator shift and reproductive performance of the qinghai-tibetan plateau endemic and endangered Swertia przewalskii (Gentianaceae)

Reproductive failure results in many plant species becoming endangered. However, little is known of how and to what extent pollinator shifts affect reproductive performance of endangered species as a result of the artificial introduction of alien insects. In this study we examined breeding systems, visitor species, visiting frequency and seed set coefficients of Swertia przewalskii in two years that had different dominant pollinator species (native vs. alien). Flowers of this species were protandrous and herkogamous and insects were needed for the production of seeds. The stigmatic receptivity of this species was shorter than for other gentians. No significant difference in seed set coefficient was found for hand-pollinated plants between the two years, indicating that pollinator shift only had a minor effect on this plant's breeding system. The commonest pollinators in 2002 were native bumblebees, alien honeybees and occasional solitary bees, however, only alien honeybees were observed in 2004. The flower visitation rate in both years was relatively high, although the total visit frequency decreased significantly in 2004. The control flowers without any treatment produced significantly fewer seed sets in 2004 than in 2002. In the past decade the seed production of this species may have partly decreased due to pollination by alien honeybees, however, we suggest that they might have acted as alternative pollinators ensuring seed production of S. przewalskii when native pollinators were unavailable. The main reason that this plant is endangered is probably the result of habitat destruction, but changes in land use, namely intensified agricultural practice and unfavorable animal husbandry have also contributed to its decline. We recommend that in-situ conservation, including the establishment of a protected area, is the best way to preserve this species effectively.

微量样品钕-锶-铅同位素分析方法在黄河下游悬浮颗粒物及沉积物的应用

Aim in Rb-Sr-REE-Pb isotopic analysis of river material, a single-stage, highly efficient and rapid chemical separation method of Rb-Sr-REE-Pb has been established by a combination of the SR special resin and the RE resin. At the same time, Feasibility of high precision analysis on micro-size Nd samples，which were chemically separated by using the LN resin, were systematicly studied using the NdO+ technique in thermal ionization mass spectrometer (TIMS). Results show that high precision measurement of Nd isotopic ratios can be successfully achieved on micro-sample of 1 ng size lever, by systematic experiments on isobar interferences and optimizing separation and measurement conditions. This method will greatly extend the application prospect of the NdO+ technique. Sr-Nd-Pb isotopic composition of suspending particle material (SPM) and sediment and Sr isotopic composition of river water in the low reaches of the Yellow Rriver have been systematically analysed in this study. Results can indicate followings: (1) relative stable Sr isotopic ratios around 0.7112 of river water suggest great influcence from dissolution of carbonate component of loss material on Sr isotopic composition of river water; (2) Nd isotopic compositions of SPM and sediment of the Yellow river are is similar, mean εNd value of SPM around -11.5 and mean εNd value of sediment -12.7, slightly lower than that of SPM. Nd isotopic composition of the Yellow River material is simarlar to or slightly lower than loss material (-9.5); (3) evidence of Sr and Pb isotopic compositions of both SPM and sediment reveals a mixing trend of two endmembers. Sr isotopic ratios of SPM after leaching are significantly different that those without leaching, possibly suggesting strong alteration of river water. Pb isotopic ratios of SPM remain unchangable after leaching compared with unleached SPM; (4) Pb-contents of SPM are commonly higher than those of sediments, while Pb isotopic ratios of SPM are significantly lower. Pb isotopic composition of the Yellow River is relatively constant, which can be a useful provenance indicator between the Changjiang and Yellow Rivers.

Design and implementation of robust systems for secure malware detection

Malicious software (malware) have significantly increased in terms of number and effectiveness during the past years. Until 2006, such software were mostly used to disrupt network infrastructures or to show coders’ skills. Nowadays, malware constitute a very important source of economical profit, and are very difficult to detect. Thousands of novel variants are released every day, and modern obfuscation techniques are used to ensure that signature-based anti-malware systems are not able to detect such threats. This tendency has also appeared on mobile devices, with Android being the most targeted platform. To counteract this phenomenon, a lot of approaches have been developed by the scientific community that attempt to increase the resilience of anti-malware systems. Most of these approaches rely on machine learning, and have become very popular also in commercial applications. However, attackers are now knowledgeable about these systems, and have started preparing their countermeasures. This has lead to an arms race between attackers and developers. Novel systems are progressively built to tackle the attacks that get more and more sophisticated. For this reason, a necessity grows for the developers to anticipate the attackers’ moves. This means that defense systems should be built proactively, i.e., by introducing some security design principles in their development. The main goal of this work is showing that such proactive approach can be employed on a number of case studies. To do so, I adopted a global methodology that can be divided in two steps. First, understanding what are the vulnerabilities of current state-of-the-art systems (this anticipates the attacker’s moves). Then, developing novel systems that are robust to these attacks, or suggesting research guidelines with which current systems can be improved. This work presents two main case studies, concerning the detection of PDF and Android malware. The idea is showing that a proactive approach can be applied both on the X86 and mobile world. The contributions provided on this two case studies are multifolded. With respect to PDF files, I first develop novel attacks that can empirically and optimally evade current state-of-the-art detectors. Then, I propose possible solutions with which it is possible to increase the robustness of such detectors against known and novel attacks. With respect to the Android case study, I first show how current signature-based tools and academically developed systems are weak against empirical obfuscation attacks, which can be easily employed without particular knowledge of the targeted systems. Then, I examine a possible strategy to build a machine learning detector that is robust against both empirical obfuscation and optimal attacks. Finally, I will show how proactive approaches can be also employed to develop systems that are not aimed at detecting malware, such as mobile fingerprinting systems. In particular, I propose a methodology to build a powerful mobile fingerprinting system, and examine possible attacks with which users might be able to evade it, thus preserving their privacy. To provide the aforementioned contributions, I co-developed (with the cooperation of the researchers at PRALab and Ruhr-Universität Bochum) various systems: a library to perform optimal attacks against machine learning systems (AdversariaLib), a framework for automatically obfuscating Android applications, a system to the robust detection of Javascript malware inside PDF files (LuxOR), a robust machine learning system to the detection of Android malware, and a system to fingerprint mobile devices. I also contributed to develop Android PRAGuard, a dataset containing a lot of empirical obfuscation attacks against the Android platform. Finally, I entirely developed Slayer NEO, an evolution of a previous system to the detection of PDF malware. The results attained by using the aforementioned tools show that it is possible to proactively build systems that predict possible evasion attacks. This suggests that a proactive approach is crucial to build systems that provide concrete security against general and evasion attacks.

Genocide: A History

Rubinstein, William, Genocide: A History (Harlow: Pearson Longman, 2004), pp.vii+322 RAE2008

Bioinformatyczna analiza struktury i oddziaływań z substratami metylotransferaz RNA odpowiedzialnych za oporność bakterii na antybiotyki

Wydział Biologii: Instytut Biologii Molekularnej i Biotechnologii

Numerical solutions of certain nonlinear models in European options on a distributed computing environment

Financial modelling in the area of option pricing involves the understanding of the correlations between asset and movements of buy/sell in order to reduce risk in investment. Such activities depend on financial analysis tools being available to the trader with which he can make rapid and systematic evaluation of buy/sell contracts. In turn, analysis tools rely on fast numerical algorithms for the solution of financial mathematical models. There are many different financial activities apart from shares buy/sell activities. The main aim of this chapter is to discuss a distributed algorithm for the numerical solution of a European option. Both linear and non-linear cases are considered. The algorithm is based on the concept of the Laplace transform and its numerical inverse. The scalability of the algorithm is examined. Numerical tests are used to demonstrate the effectiveness of the algorithm for financial analysis. Time dependent functions for volatility and interest rates are also discussed. Applications of the algorithm to non-linear Black-Scholes equation where the volatility and the interest rate are functions of the option value are included. Some qualitative results of the convergence behaviour of the algorithm is examined. This chapter also examines the various computational issues of the Laplace transformation method in terms of distributed computing. The idea of using a two-level temporal mesh in order to achieve distributed computation along the temporal axis is introduced. Finally, the chapter ends with some conclusions.

On information rates of time-varying fading channels modeled as finite-state Markov channels

We study information rates of time-varying flat-fading channels (FFC) modeled as finite-state Markov channels (FSMC). FSMCs have two main applications for FFCs: modeling channel error bursts and decoding at the receiver. Our main finding in the first application is that receiver observation noise can more adversely affect higher-order FSMCs than lower-order FSMCs, resulting in lower capacities. This is despite the fact that the underlying higher-order FFC and its corresponding FSMC are more predictable. Numerical analysis shows that at low to medium SNR conditions (SNR lsim 12 dB) and at medium to fast normalized fading rates (0.01 lsim fDT lsim 0.10), FSMC information rates are non-increasing functions of memory order. We conclude that BERs obtained by low-order FSMC modeling can provide optimistic results. To explain the capacity behavior, we present a methodology that enables analytical comparison of FSMC capacities with different memory orders. We establish sufficient conditions that predict higher/lower capacity of a reduced-order FSMC, compared to its original high-order FSMC counterpart. Finally, we investigate the achievable information rates in FSMC-based receivers for FFCs. We observe that high-order FSMC modeling at the receiver side results in a negligible information rate increase for normalized fading rates fDT lsim 0.01.

From plankton to top predators: bottom-up control of a marine food web across four trophic levels

1. Abundant mid-trophic pelagic fish often play a central role in marine ecosystems, both as links between zooplankton and top predators and as important fishery targets. In the North Sea, the lesser sandeel occupies this position, being the main prey of many bird, mammal and fish predators and the target of a major industrial fishery. However, since 2003, sandeel landings have decreased by > 50%, and many sandeel-dependent seabirds experienced breeding failures in 2004. 2. Despite the major economic implications, current understanding of the regulation of key constituents of this ecosystem is poor. Sandeel abundance may be regulated 'bottom-up' by food abundance, often thought to be under climatic control, or 'top-down' by natural or fishery predation. We tested predictions from these two hypotheses by combining unique long-term data sets (1973–2003) on seabird breeding productivity from the Isle of May, SE Scotland, and plankton and fish larvae from the Continuous Plankton Recorder survey. We also tested whether seabird breeding productivity was more tightly linked to sandeel biomass or quality (size) of individual fish. 3. The biomass of larval sandeels increased two- to threefold over the study period and was positively associated with proxies of the abundance of their plankton prey. Breeding productivity of four seabirds bringing multiple prey items to their offspring was positively related to sandeel larval biomass with a 1-year lag, indicating dependence on 1-year-old fish, but in one species bringing individual fish it was strongly associated with the size of adult sandeels. 4. These links are consistent with bottom-up ecosystem regulation and, with evidence from previous studies, indicate how climate-driven changes in plankton communities can affect top predators and potentially human fisheries through the dynamics of key mid-trophic fish. However, the failing recruitment to adult sandeel stocks and the exceptionally low seabird breeding productivity in 2004 were not associated with low sandeel larval biomass in 2003, so other mechanisms (e.g. predation, lack of suitable food after metamorphosis) must have been important in this case. Understanding ecosystem regulation is extremely important for predicting the fate of keystone species, such as sandeels, and their predators.

Climate, plankton and cod

While a few North Atlantic cod stocks are stable, none have increased and many have declined in recent years. Although overfishing is the main cause of most observed declines, this study shows that in some regions, climate by its influence on plankton may exert a strong control on cod stocks, complicating the management of this species that often assumes a constant carrying capacity. First, we investigate the likely drivers of changes in the cod stock in the North Sea by evaluating the potential relationships between climate, plankton and cod. We do this by deriving a Plankton Index that reflects the quality and quantity of plankton food available for larval cod. We show that this Plankton Index explains 46.24% of the total variance in cod recruitment and 68.89% of the variance in total cod biomass. Because the effects of climate act predominantly through plankton during the larval stage of cod development, our results indicate a pronounced sensitivity of cod stocks to climate at the warmer, southern edge of their distribution, for example in the North Sea. Our analyses also reveal for the first time, that at a large basin scale, the abundance of Calanus finmarchicus is associated with a high probability of cod occurrence, whereas the genus Pseudocalanus appears less important. Ecosystem-based fisheries management (EBFM) generally considers the effect of fishing on the ecosystem and not the effect of climate-induced changes in the ecosystem state for the living resources. These results suggest that EBFM must consider the position of a stock within its ecological niche, the direct effects of climate and the influence of climate on the trophodynamics of the ecosystem.

Characterisation of a beta-tubulin gene from the liver fluke, Fasciola hepatica.

This study represents the first ß-tubulin sequence from a trematode parasite, namely, the liver fluke, Fasciola hepatica. PCR of genomic DNA showed that at least one ß-tubulin gene from F. hepatica contains no introns. A number of amino acids in the primary sequence of fluke tubulin are different from those described previously in various nematode species and the cestode, Echinococcus multilocularis. ß-Tubulin is an important target for benzimidazole anthelmintics, although (with the exception of triclabendazole) they show limited activity against F. hepatica. The amino acid differences in fluke ß-tubulin are discussed in relation to the selective toxicity of benzimidazoles against helminths and the mechanism of drug resistance.

Predation on mayfly nymph, Baetis rhodani, by native and introduced Gammarus: direct effects and the facilitation of predation by salmonids.

1. In a series of laboratory experiments, we assessed the predatory nature of the native Irish amphipod, Gammarus duebeni celticus, and the introduced G. pulex, towards the mayfly nymph Baetis rhodani. We also investigated alterations in microhabitat use and drift behaviour of B. rhodani in the presence of Gammarus, and indirect predatory interactions with juvenile Atlantic salmon, Salmo salar. 2. In trials with single predators and prey, B. rhodani survival was significantly lower when Gammarus were free to interact with nymphs as than when Gammarus were isolated from them. The invader G. pulex reduced the survival of B. rhodani more rapidly than did the native G. d. celticus. Both Gammarus spp. were active predators. 3. In `patch' experiments, B. rhodani survival was significantly lower both when G. pulex and G. d. celticus were present, although the effect of the two Gammarus species did not differ. Again, active predation of nymphs by Gammarus was observed. Significantly more nymphs occurred on the top and sides of a tile, and per capita drifts were significantly higher, when Gammarus were present. Baetis rhodani per capita drift was also significantly higher in the presence of the introduced G. pulex than with the native G. d. celticus. 4. Gammarus facilitated predation by salmon parr of B. rhodani by significantly increasing fish–nymph encounters on exposed gravel and in the drift. There were no differential effects of the two Gammarus spp. on fish –B. rhodani encounters or consumption. 5. We conclude that Gammarus as a predator can have lethal, nonlethal, direct and indirect effects in freshwaters. We stress the need for recognition of this predatory role when assigning Gammarus spp. to a `Functional Feeding Group'.