Management, Optimization and Evolution of the LHCb Online Network

The LHCb experiment is one of the four large particle detectors running at the Large Hadron Collider (LHC) at CERN. It is a forward single-arm spectrometer dedicated to test the Standard Model through precision measurements of Charge-Parity (CP) violation and rare decays in the b quark sector. The LHCb experiment will operate at a luminosity of 2x10^32cm-2s-1, the proton-proton bunch crossings rate will be approximately 10 MHz. To select the interesting events, a two-level trigger scheme is applied: the rst level trigger (L0) and the high level trigger (HLT). The L0 trigger is implemented in custom hardware, while HLT is implemented in software runs on the CPUs of the Event Filter Farm (EFF). The L0 trigger rate is dened at about 1 MHz, and the event size for each event is about 35 kByte. It is a serious challenge to handle the resulting data rate (35 GByte/s). The Online system is a key part of the LHCb experiment, providing all the IT services. It consists of three major components: the Data Acquisition (DAQ) system, the Timing and Fast Control (TFC) system and the Experiment Control System (ECS). To provide the services, two large dedicated networks based on Gigabit Ethernet are deployed: one for DAQ and another one for ECS, which are referred to Online network in general. A large network needs sophisticated monitoring for its successful operation. Commercial network management systems are quite expensive and dicult to integrate into the LHCb ECS. A custom network monitoring system has been implemented based on a Supervisory Control And Data Acquisition (SCADA) system called PVSS which is used by LHCb ECS. It is a homogeneous part of the LHCb ECS. In this thesis, it is demonstrated how a large scale network can be monitored and managed using tools originally made for industrial supervisory control. The thesis is organized as the follows: Chapter 1 gives a brief introduction to LHC and the B physics on LHC, then describes all sub-detectors and the trigger and DAQ system of LHCb from structure to performance. Chapter 2 first introduces the LHCb Online system and the dataflow, then focuses on the Online network design and its optimization. In Chapter 3, the SCADA system PVSS is introduced briefly, then the architecture and implementation of the network monitoring system are described in detail, including the front-end processes, the data communication and the supervisory layer. Chapter 4 first discusses the packet sampling theory and one of the packet sampling mechanisms: sFlow, then demonstrates the applications of sFlow for the network trouble-shooting, the traffic monitoring and the anomaly detection. In Chapter 5, the upgrade of LHC and LHCb is introduced, the possible architecture of DAQ is discussed, and two candidate internetworking technologies (high speed Ethernet and InfniBand) are compared in different aspects for DAQ. Three schemes based on 10 Gigabit Ethernet are presented and studied. Chapter 6 is a general summary of the thesis

Uniaxial and Mixed Orientations of Poly(ethylene oxide) in Nanoporous Alumina Studied by X-ray Pole Figure Analysis

The orientation of polymers under confinement is a basic, yet not fully understood phenomenon. In this work, the texture of poly(ethylene oxide) (PEO) infiltrated in nanoporous anodic alumina oxide (AAO) templates was investigated by X-ray pole figures. The influence of geometry and crystallization conditions, such as pore diameter, aspect ratio, and cooling rates, was systematically examined. All the samples exhibited a single, volume-dependent crystallization temperature (Tc) at temperatures much lower than that exhibited by bulk PEO, indicating “clean” microdomains without detectable heterogeneous nucleation. An “orientation diagram” was established to account for the experimental observations. Under very high cooling rates (quenching), crystallization of PEO within AAO was nucleation-controlled, adopting a random distribution of crystallites. Under low cooling rates, growth kinetics played a decisive role on the crystal orientation. A relatively faster cooling rate (10 °C/min) and/or smaller pores lead to the * ║ pore axis (n⃗) mode (uniaxial orientation). When the cooling rate was lower (1 °C/min), and/or the pores were larger, a mixed orientation, with a coexistence of * ║ n⃗ and * ║ n⃗ , was observed. The results favor the kinetic model where the fastest growth direction tends to align parallel to the pore axis.This work is supported by the National Natural Science Foundation of China (NSFC, 21873109, 51820105005, 21274156). G. L. is grateful to the Youth Innovation Promotion Association of the Chinese Academy of Sciences (2015026). G. L., D. W., and A. J. M. also acknowledge European funding by the RISE BIODEST project (H2020-MSCA-RISE-2017-778092). The authors thank Dr. Zhongkai Yang for assistance with pole figure measurement

Confined Crystallization of Polymers within Nanopores

Unformatted post-print version of the accepted articleCrystallization of polymeric materials under nanoscopic confinement is highly relevant for nanotechnology applications. When a polymer is confined within rigid nanoporous anodic aluminum oxide (AAO) templates, the crystallization behavior experiences dramatic changes as the pore size is reduced, including nucleation mechanism, crystal orientation, crystallization kinetics, and polymorphic transition, etc. As an experimental prerequisite, exhaustive cleaning procedures after infiltrations of polymers in AAO pores must be performed to ensure producing an ensemble of isolated polymer-filled nanopores. Layers of residual polymers on the AAO surface percolate nanopores and lead to the so-called “fractionated crystallization”, i.e., multiple crystallization peaks during cooling. As the density of isolated nanopores in a typical AAO template exceeds the density of heterogeneities in bulk polymers, the majority of nanopores will be heterogeneity-free. This means that the nucleation will proceed by surface or homogeneous nucleation. As a consequence, a very large supercooling is necessary for crystallization, and its kinetics is reduced to a first-order process that is dominated by nucleation. Self-nucleation is a powerful method to exponentially increase nucleation density. However, when the diameter of the nanopores is lower than a critical value, confinement prevents the possibility to self-nucleate the material. Because of the anisotropic nature of AAO pores, polymer crystals inside AAO also exhibit anisotropy, which is determined by thermodynamic stability and kinetic selection rules. For low molecular weight poly(ethylene oxide) (PEO) with extended chain crystals, the orientation of polymer crystals changes from the “chain perpendicular to” to “chain parallel to” AAO pore axis, when the diameter of AAO decreases to the contour length of the PEO, indicating the effect of thermodynamic stability. When the thermodynamic requirement is satisfied, the orientation is determined by kinetics including crystal growth, nucleation and crystal growth rate. An orientation diagram has been established for PEO/AAO system, considering the cooling condition and pore size. The interfacial polymer layer has different physical properties as compared to the bulk. In poly(L-lactic acid), the relationship between the segmental mobility of the interfacial layer and crystallization rate is established. For the investigation of polymorphic transition of poly(butane-1), the results indicate that a 12 nm interfacial layer hinders the transition of Form II to Form I. Block and random copolymers have also been infiltrated into AAO nanopores, and their crystallization behavior is analogously affected as pore size is reduced.This work was supported by the National Key R&D Program of China (Grant No. 2017YFE0117800) and the National Natural Science Foundation of China (Grant Nos. 21873109, 51820105005, and 21922308). We also acknowledge the financial support from the BIODEST project; this project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 778092. A.J.M. acknowledges funding from MINECO, Grant No. MAT2017-83014-C2-1-P, and from the Basque Government through Grant No. IT1309-19. G.L. is grateful to the Youth Innovation Promotion Association of the Chinese Academy of Sciences (Grant No. Y201908)

The Role of Integrative Leadership in the Transformation Process of Public Services Delivery: From the Perspective of IS Strategy Triangle Theory

In the era of Government 2.0, the government should transform into a citizen-centric and service-oriented government. In the terms of public services delivery, more innovative IT-based methods are pursued. However, on the perspective of organizational management, leadership plays a major role in using IT to make public services delivery efficient. Therefore, this paper presents a conceptual framework for understanding how integrative leadership influence the transformation of IT-based public services delivery. From the perspective of IS strategy triangle theory, we define integrative leadership as bringing diverse leaderships—strategy leadership, organization leadership and IT leadership—in an organization together with a close-coupled association to accomplish the complex and public issue and archive the united strategic goal. The framework is illustrated with a case of a local government, Pingfang District of Harbin in China, a pilot unit of Smart City providing more convenient and effective public services under the guidance of the District Mayor, the Organization Department Minister and the Informatization Office Director that are responsible for the coordination of strategy formulation, organization restructuration and information construction respectively. The framework is, to our best knowledge, the first of their kind in the new research field of key component elements of intra-organizational integrative leadership and provides significant insights for future exploration

Super nucleation and orientation of poly (butylene terephthalate) crystals in nanocomposites containing highly reduced graphene oxide

The ring opening polymerization of cyclic butylene terephthalate into poly (butylene terephthalate) (pCBT) in the presence of reduced graphene oxide (RGO) is an effective method for the preparation of polymer nanocomposites. The inclusion of RGO nanoflakes dramatically affects the crystallization of pCBT, shifting crystallization peak temperature to higher temperatures and, overall, increasing the crystallization rate. This was due to a super nucleating effect caused by RGO, which is maximized by highly reduced graphene oxide. Furthermore, combined analyses by differential scanning calorimetry (DSC) experiments and wide angle X-ray diffraction (WAXS) showed the formation of a thick {\alpha}-crystalline form pCBT lamellae with a melting point of ~250 {\deg}C, close to the equilibrium melting temperature of pCBT. WAXS also demonstrated the pair orientation of pCBT crystals with RGO nanoflakes, indicating a strong interfacial interaction between the aromatic rings of pCBT and RGO planes, especially with highly reduced graphene oxide. Such surface self-organization of the polymer onto the RGO nanoflakes may be exploited for the enhancement of interfacial properties in their polymer nanocomposites

Deep Reinforcement Learning-based Multi-objective Path Planning on the Off-road Terrain Environment for Ground Vehicles

Due to the energy-consumption efficiency between up-slope and down-slope is hugely different, a path with the shortest length on a complex off-road terrain environment (2.5D map) is not always the path with the least energy consumption. For any energy-sensitive vehicles, realizing a good trade-off between distance and energy consumption on 2.5D path planning is significantly meaningful. In this paper, a deep reinforcement learning-based 2.5D multi-objective path planning method (DMOP) is proposed. The DMOP can efficiently find the desired path with three steps: (1) Transform the high-resolution 2.5D map into a small-size map. (2) Use a trained deep Q network (DQN) to find the desired path on the small-size map. (3) Build the planned path to the original high-resolution map using a path enhanced method. In addition, the imitation learning method and reward shaping theory are applied to train the DQN. The reward function is constructed with the information of terrain, distance, border. Simulation shows that the proposed method can finish the multi-objective 2.5D path planning task. Also, simulation proves that the method has powerful reasoning capability that enables it to perform arbitrary untrained planning tasks on the same map

Generating Triple Crystalline Superstructures in Melt Miscible PEO-b-PCL-b-PLLA Triblock Terpolymers by Controlling Thermal History and Sequential Crystallization

The morphology, crystallization behavior and properties of multi-crystalline polymer systems based on triple crystalline biodegradable PEO-b-PCL-b-PLLA triblock terpolymers are reviewed. The triblock terpolymers, with increasing PLLA content, exhibited a triple crystalline nature. Upon cooling from melt, the PLLA block crystallizes first and templates the spherulitic morphology of the terpolymer. Then, the PCL block crystalizes and, lastly, the PEO block. These triblock terpolymers are probably melt miscible, as SAXS experiments confirmed. Thus, the crystallization of PCL and PEO blocks takes place within the interlamellar zones of the PLLA spherulites that were formed previously. Therefore, the lamellae of PLLA, PCL and PEO exist side-by-side within a unique spherulite, constituting a novel triple crystalline superstructure. The theoretical analysis of SAXS curves implies that only one lamella of either PCL or PEO can occupy the interlamellar space in between two contiguous lamellae of PLLA. Several complex competitive effects such as plasticizing, nucleation, anti-plasticizing and confinement take place during the isothermal crystallization of each block in the terpolymers. New results on how Successive Self-nucleation and Annealing (SSA) thermal treatment can be used as an additional suitable technique to properly separate the three crystalline phases in these triple crystalline triblock terpolymers are also included in this contribution.The POLYMAT/UPV/EHU team would like to acknowledge funding from MINECO through project: MAT2017-83014-C2-1-P, and from ALBA synchrotron facility. We also acknowledge funding by the European Union´s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 778092. The support of the National Key R&D Program of China (2017YFE0117800) is also gratefully acknowledged

A novel method for purifying bluetongue virus with high purity by co-immunoprecipitation with agarose protein A

<p>Abstract</p> <p>Background</p> <p>Bluetongue virus (BTV) is an icosahedral non-enveloped virus within the genus <it>Orbivirus </it>of <it>Reoviridae </it>and exists as 24 distinct serotypes. BTV can infect all ruminant species and causes severe sickness in sheep. Recently, it was reported that BTV can infect some human cancer cells selectively. Because of the important oncolysis of this virus, we developed a novel purifying method for large-scale production. The purifying logic is simple, which is picking out all the components unwanted and the left is what we want. The process can be summarized in 4 steps: centrifugation, pulling down cell debrises and soluble proteins by co-immunoprecipitation with agarose Protein A, dialysis and filtration sterilization after concentration.</p> <p>Results</p> <p>The result of transmission electron microscope (TEM) observation showed that the sample of purified virus has a very clear background and the virions still kept intact. The result of 50% tissue culture infective dose (TCID₅₀) assay showed that the bioactivity of purified virus is relatively high.</p> <p>Conclusions</p> <p>This method can purify BTV-10 with high quality and high biological activity on large-scale production. It also can be used for purifying other BTV serotypes.</p